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Case Study

ProRata

ProRata

ProRata

ProRata

Overview

ProRata, an emerging player in the AI and royalty-calculation space, envisioned a method to attribute outputs from large language models (LLMs) - such as ChatGPT - back to their original source materials, and then calculate royalty payments accordingly. From the outset, the endeavour presented both a rare opportunity to pioneer intellectual property (IP) in the AI sector and significant uncertainties about how best to translate a novel concept into tangible product features. ProRata enlisted Spicy Mango’s expertise to collaborate on a proof of concept (POC) that would prove the viability of their AI-based attribution model, meet tight investor timelines, and spark genuine innovation.


About ProRata

ProRata is a forward-thinking technology company dedicated to bringing transparency and fairness to the world of AI-generated content. By developing a proprietary attribution engine, ProRata empowers creators, publishers, and platform owners to trace and monetise the original sources that inform large language models (LLMs) and other AI systems. Headquartered in Los Angeles and driven by an unwavering commitment to innovation, ProRata seeks to reshape how organisations view ownership, usage, and remuneration in the AI era - enabling a new wave of responsible and equitable AI-driven applications.

 

The Challenge

ProRata’s mission was to devise a platform that could identify the origins of AI-generated content and quantify how much of that content was derived from each source. Traditional AI engines process language through complex tokenisation methods, often mixing data from countless unseen sources - raising profound questions about ownership and fair compensation. Adding further pressure was the need to deliver concrete, demonstrable progress rapidly, to convince prospective investors that ProRata’s vision was not just viable, but on the cusp of revolutionising the market.

 

Several core uncertainties shaped the project from the outset:

Engaging Multiple LLMs

Each large language model has its own architecture, biases, and limitations, complicating attempts to refine outputs and apply consistent attribution methods.

Creating Pioneering IP

ProRata required innovative algorithms and processes that reliably mapped AI-generated outputs to their sources, carving out a new IP landscape in an emerging field.

Innovating at Pace

Tight investment timelines demanded continuous development of functional prototypes and real-world demonstrations - nothing resembling mere “vapourware.”

Navigating Collaborative Unknowns

Spicy Mango and ProRata had to co-create methods and procedures on the fly, requiring transparent communication and agile thinking to overcome unforeseen technical obstacles.


Our Collaborative Approach

 

1. POC Under High Uncertainty

Spicy Mango co-located resources with ProRata in Los Angeles, forming a dedicated, cross-functional team that tackled challenges head-on. This arrangement enabled spontaneous problem-solving, rapid iteration, and immediate feedback loops. We tested a variety of LLMs - ranging from broad-market generative AI engines to more specialised language models - to determine which processes could most effectively attribute content back to its origins.

 

2. Crafting Pioneering Technologies & IPR

Drawing on our solid foothold in the AI and Gen AI space, Spicy Mango leveraged experience gained from working with digital publishers, media powerhouses, and innovative start-ups. Together with ProRata’s in-house experts, we developed token-based formulas capable of dissecting AI outputs and mapping them to precise segments of underlying source material. These novel algorithms laid the groundwork for newly created intellectual property, positioning ProRata as a future leader in AI-driven royalty attribution.

 

3. Conditioning & Refining AI Outputs

We engaged in extensive experimentation to refine text-generation outcomes, perfecting how we analysed token distributions and model outputs. Prompt engineering and post-processing techniques were crucial in turning opaque AI processes into traceable, verifiable data. This not only improved accuracy but also provided the transparency stakeholders needed to confidently assess the viability of ProRata’s royalty-distribution model.

 

4. Rapid Development for Tangible Results

The entire project was underpinned by an urgency to deliver demonstrable features that showcased tangible progress to prospective investors and early adopters. This was not about hypotheticals but genuine functionality. We relied on frequent sprints, rigorous testing, and direct feedback from key ProRata stakeholders to ensure every milestone felt like a meaningful step forward.

 

5. Building on AWS with Microservices

After validating the core attribution concepts, Spicy Mango architected a microservices platform on AWS that ensured each component - such as LLM orchestration, token analysis, and payment calculation - could be scaled independently. We adhered to robust security and automation best practices, allowing ProRata to expand quickly without having to overhaul its underlying infrastructure.



The Benefits of Prototype Engineering

One of the foundational pillars of the ProRata project was the deliberate choice to pursue prototype engineering rather than a prolonged “big bang” development cycle. This approach offered several advantages:

 

De-Risking Innovation

By releasing early and often, the team could identify technical stumbling blocks, test new ideas, and refine the approach without having invested an excessive amount of time and resources.


Investor Confidence

High-velocity prototype builds demonstrated to potential backers that ProRata’s technology was both feasible and commercially relevant, increasing the likelihood of securing additional capital.


Faster Time to Market

Prototype engineering meant each development sprint delivered something demonstrable, evaluable, and occasionally even usable in real scenarios - significantly reducing the journey from concept to tangible product.


Collaborative Problem-Solving

Ongoing prototyping fostered a culture of open dialogue and iterative learning, enabling Spicy Mango and ProRata to jointly develop cutting-edge AI solutions.



Key Outcomes

By uniting ProRata’s visionary concept with Spicy Mango’s deep AI expertise and prototype-driven methodology, the teams achieved far-reaching results that exceeded initial expectations. Below are the central achievements that underscored the project’s success and paved the way for ProRata’s continued evolution in the AI-royalty landscape:

 

Proven AI Attribution Model

ProRata successfully demonstrated an operational method for mapping AI-generated text to its original sources, effectively addressing the “black box” challenge of contemporary LLMs.

 

New Intellectual Property

With Spicy Mango’s guidance, ProRata created pioneering attribution algorithms, generating valuable IP that sets them apart in the emerging AI-royalty market.


Accelerated Investor Readiness

The live, AWS-hosted MVP gave stakeholders hands-on experience with the platform, fuelling ProRata’s momentum and attracting crucial capital investment.


Flexible, Scalable Infrastructure

A microservices architecture on AWS ensures that ProRata can add new features, integrate additional AI engines, and expand internationally - without disruption to existing services.


Enduring Collaboration & Innovation

Co-locating in Los Angeles created a strong partnership between Spicy Mango and ProRata, driving a shared ethos of discovery, adaptation, and iteration that has led to ongoing breakthroughs in AI-based attribution.

 

Conclusion

ProRata’s quest to pioneer a fair royalty model for AI-generated content stands as one of the most compelling frontiers in contemporary technology. By harnessing Spicy Mango’s robust expertise in AI and Gen AI, and by embracing an agile, prototype-led methodology, ProRata transformed a nascent concept into a proven, investor-ready MVP. The outcome is a uniquely scalable platform - underpinned by newly forged IP - that positions ProRata at the forefront of AI-based attribution and revenue distribution.

 

About Spicy Mango

Spicy Mango is a specialist technology consultancy with extensive experience in AI, Gen AI, and media innovation. We partner with established digital publishers, broadcasters, and forward-thinking start-ups to accelerate platform transformations, establish new business models, and develop pioneering products. Whether you’re modernising legacy systems or creating first-of-its-kind AI IP, our hands-on, iterative approach transforms bold ideas into production-ready solutions. Contact us to discover how we can help you navigate the intricacies of AI-based innovation - and turn your vision into reality.


Learn more about ProRata at https://www.prorata.ai


Overview

ProRata, an emerging player in the AI and royalty-calculation space, envisioned a method to attribute outputs from large language models (LLMs) - such as ChatGPT - back to their original source materials, and then calculate royalty payments accordingly. From the outset, the endeavour presented both a rare opportunity to pioneer intellectual property (IP) in the AI sector and significant uncertainties about how best to translate a novel concept into tangible product features. ProRata enlisted Spicy Mango’s expertise to collaborate on a proof of concept (POC) that would prove the viability of their AI-based attribution model, meet tight investor timelines, and spark genuine innovation.


About ProRata

ProRata is a forward-thinking technology company dedicated to bringing transparency and fairness to the world of AI-generated content. By developing a proprietary attribution engine, ProRata empowers creators, publishers, and platform owners to trace and monetise the original sources that inform large language models (LLMs) and other AI systems. Headquartered in Los Angeles and driven by an unwavering commitment to innovation, ProRata seeks to reshape how organisations view ownership, usage, and remuneration in the AI era - enabling a new wave of responsible and equitable AI-driven applications.

 

The Challenge

ProRata’s mission was to devise a platform that could identify the origins of AI-generated content and quantify how much of that content was derived from each source. Traditional AI engines process language through complex tokenisation methods, often mixing data from countless unseen sources - raising profound questions about ownership and fair compensation. Adding further pressure was the need to deliver concrete, demonstrable progress rapidly, to convince prospective investors that ProRata’s vision was not just viable, but on the cusp of revolutionising the market.

 

Several core uncertainties shaped the project from the outset:

Engaging Multiple LLMs

Each large language model has its own architecture, biases, and limitations, complicating attempts to refine outputs and apply consistent attribution methods.

Creating Pioneering IP

ProRata required innovative algorithms and processes that reliably mapped AI-generated outputs to their sources, carving out a new IP landscape in an emerging field.

Innovating at Pace

Tight investment timelines demanded continuous development of functional prototypes and real-world demonstrations - nothing resembling mere “vapourware.”

Navigating Collaborative Unknowns

Spicy Mango and ProRata had to co-create methods and procedures on the fly, requiring transparent communication and agile thinking to overcome unforeseen technical obstacles.


Our Collaborative Approach

 

1. POC Under High Uncertainty

Spicy Mango co-located resources with ProRata in Los Angeles, forming a dedicated, cross-functional team that tackled challenges head-on. This arrangement enabled spontaneous problem-solving, rapid iteration, and immediate feedback loops. We tested a variety of LLMs - ranging from broad-market generative AI engines to more specialised language models - to determine which processes could most effectively attribute content back to its origins.

 

2. Crafting Pioneering Technologies & IPR

Drawing on our solid foothold in the AI and Gen AI space, Spicy Mango leveraged experience gained from working with digital publishers, media powerhouses, and innovative start-ups. Together with ProRata’s in-house experts, we developed token-based formulas capable of dissecting AI outputs and mapping them to precise segments of underlying source material. These novel algorithms laid the groundwork for newly created intellectual property, positioning ProRata as a future leader in AI-driven royalty attribution.

 

3. Conditioning & Refining AI Outputs

We engaged in extensive experimentation to refine text-generation outcomes, perfecting how we analysed token distributions and model outputs. Prompt engineering and post-processing techniques were crucial in turning opaque AI processes into traceable, verifiable data. This not only improved accuracy but also provided the transparency stakeholders needed to confidently assess the viability of ProRata’s royalty-distribution model.

 

4. Rapid Development for Tangible Results

The entire project was underpinned by an urgency to deliver demonstrable features that showcased tangible progress to prospective investors and early adopters. This was not about hypotheticals but genuine functionality. We relied on frequent sprints, rigorous testing, and direct feedback from key ProRata stakeholders to ensure every milestone felt like a meaningful step forward.

 

5. Building on AWS with Microservices

After validating the core attribution concepts, Spicy Mango architected a microservices platform on AWS that ensured each component - such as LLM orchestration, token analysis, and payment calculation - could be scaled independently. We adhered to robust security and automation best practices, allowing ProRata to expand quickly without having to overhaul its underlying infrastructure.



The Benefits of Prototype Engineering

One of the foundational pillars of the ProRata project was the deliberate choice to pursue prototype engineering rather than a prolonged “big bang” development cycle. This approach offered several advantages:

 

De-Risking Innovation

By releasing early and often, the team could identify technical stumbling blocks, test new ideas, and refine the approach without having invested an excessive amount of time and resources.


Investor Confidence

High-velocity prototype builds demonstrated to potential backers that ProRata’s technology was both feasible and commercially relevant, increasing the likelihood of securing additional capital.


Faster Time to Market

Prototype engineering meant each development sprint delivered something demonstrable, evaluable, and occasionally even usable in real scenarios - significantly reducing the journey from concept to tangible product.


Collaborative Problem-Solving

Ongoing prototyping fostered a culture of open dialogue and iterative learning, enabling Spicy Mango and ProRata to jointly develop cutting-edge AI solutions.



Key Outcomes

By uniting ProRata’s visionary concept with Spicy Mango’s deep AI expertise and prototype-driven methodology, the teams achieved far-reaching results that exceeded initial expectations. Below are the central achievements that underscored the project’s success and paved the way for ProRata’s continued evolution in the AI-royalty landscape:

 

Proven AI Attribution Model

ProRata successfully demonstrated an operational method for mapping AI-generated text to its original sources, effectively addressing the “black box” challenge of contemporary LLMs.

 

New Intellectual Property

With Spicy Mango’s guidance, ProRata created pioneering attribution algorithms, generating valuable IP that sets them apart in the emerging AI-royalty market.


Accelerated Investor Readiness

The live, AWS-hosted MVP gave stakeholders hands-on experience with the platform, fuelling ProRata’s momentum and attracting crucial capital investment.


Flexible, Scalable Infrastructure

A microservices architecture on AWS ensures that ProRata can add new features, integrate additional AI engines, and expand internationally - without disruption to existing services.


Enduring Collaboration & Innovation

Co-locating in Los Angeles created a strong partnership between Spicy Mango and ProRata, driving a shared ethos of discovery, adaptation, and iteration that has led to ongoing breakthroughs in AI-based attribution.

 

Conclusion

ProRata’s quest to pioneer a fair royalty model for AI-generated content stands as one of the most compelling frontiers in contemporary technology. By harnessing Spicy Mango’s robust expertise in AI and Gen AI, and by embracing an agile, prototype-led methodology, ProRata transformed a nascent concept into a proven, investor-ready MVP. The outcome is a uniquely scalable platform - underpinned by newly forged IP - that positions ProRata at the forefront of AI-based attribution and revenue distribution.

 

About Spicy Mango

Spicy Mango is a specialist technology consultancy with extensive experience in AI, Gen AI, and media innovation. We partner with established digital publishers, broadcasters, and forward-thinking start-ups to accelerate platform transformations, establish new business models, and develop pioneering products. Whether you’re modernising legacy systems or creating first-of-its-kind AI IP, our hands-on, iterative approach transforms bold ideas into production-ready solutions. Contact us to discover how we can help you navigate the intricacies of AI-based innovation - and turn your vision into reality.


Learn more about ProRata at https://www.prorata.ai


Overview

ProRata, an emerging player in the AI and royalty-calculation space, envisioned a method to attribute outputs from large language models (LLMs) - such as ChatGPT - back to their original source materials, and then calculate royalty payments accordingly. From the outset, the endeavour presented both a rare opportunity to pioneer intellectual property (IP) in the AI sector and significant uncertainties about how best to translate a novel concept into tangible product features. ProRata enlisted Spicy Mango’s expertise to collaborate on a proof of concept (POC) that would prove the viability of their AI-based attribution model, meet tight investor timelines, and spark genuine innovation.


About ProRata

ProRata is a forward-thinking technology company dedicated to bringing transparency and fairness to the world of AI-generated content. By developing a proprietary attribution engine, ProRata empowers creators, publishers, and platform owners to trace and monetise the original sources that inform large language models (LLMs) and other AI systems. Headquartered in Los Angeles and driven by an unwavering commitment to innovation, ProRata seeks to reshape how organisations view ownership, usage, and remuneration in the AI era - enabling a new wave of responsible and equitable AI-driven applications.

 

The Challenge

ProRata’s mission was to devise a platform that could identify the origins of AI-generated content and quantify how much of that content was derived from each source. Traditional AI engines process language through complex tokenisation methods, often mixing data from countless unseen sources - raising profound questions about ownership and fair compensation. Adding further pressure was the need to deliver concrete, demonstrable progress rapidly, to convince prospective investors that ProRata’s vision was not just viable, but on the cusp of revolutionising the market.

 

Several core uncertainties shaped the project from the outset:

Engaging Multiple LLMs

Each large language model has its own architecture, biases, and limitations, complicating attempts to refine outputs and apply consistent attribution methods.

Creating Pioneering IP

ProRata required innovative algorithms and processes that reliably mapped AI-generated outputs to their sources, carving out a new IP landscape in an emerging field.

Innovating at Pace

Tight investment timelines demanded continuous development of functional prototypes and real-world demonstrations - nothing resembling mere “vapourware.”

Navigating Collaborative Unknowns

Spicy Mango and ProRata had to co-create methods and procedures on the fly, requiring transparent communication and agile thinking to overcome unforeseen technical obstacles.


Our Collaborative Approach

 

1. POC Under High Uncertainty

Spicy Mango co-located resources with ProRata in Los Angeles, forming a dedicated, cross-functional team that tackled challenges head-on. This arrangement enabled spontaneous problem-solving, rapid iteration, and immediate feedback loops. We tested a variety of LLMs - ranging from broad-market generative AI engines to more specialised language models - to determine which processes could most effectively attribute content back to its origins.

 

2. Crafting Pioneering Technologies & IPR

Drawing on our solid foothold in the AI and Gen AI space, Spicy Mango leveraged experience gained from working with digital publishers, media powerhouses, and innovative start-ups. Together with ProRata’s in-house experts, we developed token-based formulas capable of dissecting AI outputs and mapping them to precise segments of underlying source material. These novel algorithms laid the groundwork for newly created intellectual property, positioning ProRata as a future leader in AI-driven royalty attribution.

 

3. Conditioning & Refining AI Outputs

We engaged in extensive experimentation to refine text-generation outcomes, perfecting how we analysed token distributions and model outputs. Prompt engineering and post-processing techniques were crucial in turning opaque AI processes into traceable, verifiable data. This not only improved accuracy but also provided the transparency stakeholders needed to confidently assess the viability of ProRata’s royalty-distribution model.

 

4. Rapid Development for Tangible Results

The entire project was underpinned by an urgency to deliver demonstrable features that showcased tangible progress to prospective investors and early adopters. This was not about hypotheticals but genuine functionality. We relied on frequent sprints, rigorous testing, and direct feedback from key ProRata stakeholders to ensure every milestone felt like a meaningful step forward.

 

5. Building on AWS with Microservices

After validating the core attribution concepts, Spicy Mango architected a microservices platform on AWS that ensured each component - such as LLM orchestration, token analysis, and payment calculation - could be scaled independently. We adhered to robust security and automation best practices, allowing ProRata to expand quickly without having to overhaul its underlying infrastructure.



The Benefits of Prototype Engineering

One of the foundational pillars of the ProRata project was the deliberate choice to pursue prototype engineering rather than a prolonged “big bang” development cycle. This approach offered several advantages:

 

De-Risking Innovation

By releasing early and often, the team could identify technical stumbling blocks, test new ideas, and refine the approach without having invested an excessive amount of time and resources.


Investor Confidence

High-velocity prototype builds demonstrated to potential backers that ProRata’s technology was both feasible and commercially relevant, increasing the likelihood of securing additional capital.


Faster Time to Market

Prototype engineering meant each development sprint delivered something demonstrable, evaluable, and occasionally even usable in real scenarios - significantly reducing the journey from concept to tangible product.


Collaborative Problem-Solving

Ongoing prototyping fostered a culture of open dialogue and iterative learning, enabling Spicy Mango and ProRata to jointly develop cutting-edge AI solutions.



Key Outcomes

By uniting ProRata’s visionary concept with Spicy Mango’s deep AI expertise and prototype-driven methodology, the teams achieved far-reaching results that exceeded initial expectations. Below are the central achievements that underscored the project’s success and paved the way for ProRata’s continued evolution in the AI-royalty landscape:

 

Proven AI Attribution Model

ProRata successfully demonstrated an operational method for mapping AI-generated text to its original sources, effectively addressing the “black box” challenge of contemporary LLMs.

 

New Intellectual Property

With Spicy Mango’s guidance, ProRata created pioneering attribution algorithms, generating valuable IP that sets them apart in the emerging AI-royalty market.


Accelerated Investor Readiness

The live, AWS-hosted MVP gave stakeholders hands-on experience with the platform, fuelling ProRata’s momentum and attracting crucial capital investment.


Flexible, Scalable Infrastructure

A microservices architecture on AWS ensures that ProRata can add new features, integrate additional AI engines, and expand internationally - without disruption to existing services.


Enduring Collaboration & Innovation

Co-locating in Los Angeles created a strong partnership between Spicy Mango and ProRata, driving a shared ethos of discovery, adaptation, and iteration that has led to ongoing breakthroughs in AI-based attribution.

 

Conclusion

ProRata’s quest to pioneer a fair royalty model for AI-generated content stands as one of the most compelling frontiers in contemporary technology. By harnessing Spicy Mango’s robust expertise in AI and Gen AI, and by embracing an agile, prototype-led methodology, ProRata transformed a nascent concept into a proven, investor-ready MVP. The outcome is a uniquely scalable platform - underpinned by newly forged IP - that positions ProRata at the forefront of AI-based attribution and revenue distribution.

 

About Spicy Mango

Spicy Mango is a specialist technology consultancy with extensive experience in AI, Gen AI, and media innovation. We partner with established digital publishers, broadcasters, and forward-thinking start-ups to accelerate platform transformations, establish new business models, and develop pioneering products. Whether you’re modernising legacy systems or creating first-of-its-kind AI IP, our hands-on, iterative approach transforms bold ideas into production-ready solutions. Contact us to discover how we can help you navigate the intricacies of AI-based innovation - and turn your vision into reality.


Learn more about ProRata at https://www.prorata.ai


Overview

ProRata, an emerging player in the AI and royalty-calculation space, envisioned a method to attribute outputs from large language models (LLMs) - such as ChatGPT - back to their original source materials, and then calculate royalty payments accordingly. From the outset, the endeavour presented both a rare opportunity to pioneer intellectual property (IP) in the AI sector and significant uncertainties about how best to translate a novel concept into tangible product features. ProRata enlisted Spicy Mango’s expertise to collaborate on a proof of concept (POC) that would prove the viability of their AI-based attribution model, meet tight investor timelines, and spark genuine innovation.


About ProRata

ProRata is a forward-thinking technology company dedicated to bringing transparency and fairness to the world of AI-generated content. By developing a proprietary attribution engine, ProRata empowers creators, publishers, and platform owners to trace and monetise the original sources that inform large language models (LLMs) and other AI systems. Headquartered in Los Angeles and driven by an unwavering commitment to innovation, ProRata seeks to reshape how organisations view ownership, usage, and remuneration in the AI era - enabling a new wave of responsible and equitable AI-driven applications.

 

The Challenge

ProRata’s mission was to devise a platform that could identify the origins of AI-generated content and quantify how much of that content was derived from each source. Traditional AI engines process language through complex tokenisation methods, often mixing data from countless unseen sources - raising profound questions about ownership and fair compensation. Adding further pressure was the need to deliver concrete, demonstrable progress rapidly, to convince prospective investors that ProRata’s vision was not just viable, but on the cusp of revolutionising the market.

 

Several core uncertainties shaped the project from the outset:

Engaging Multiple LLMs

Each large language model has its own architecture, biases, and limitations, complicating attempts to refine outputs and apply consistent attribution methods.

Creating Pioneering IP

ProRata required innovative algorithms and processes that reliably mapped AI-generated outputs to their sources, carving out a new IP landscape in an emerging field.

Innovating at Pace

Tight investment timelines demanded continuous development of functional prototypes and real-world demonstrations - nothing resembling mere “vapourware.”

Navigating Collaborative Unknowns

Spicy Mango and ProRata had to co-create methods and procedures on the fly, requiring transparent communication and agile thinking to overcome unforeseen technical obstacles.


Our Collaborative Approach

 

1. POC Under High Uncertainty

Spicy Mango co-located resources with ProRata in Los Angeles, forming a dedicated, cross-functional team that tackled challenges head-on. This arrangement enabled spontaneous problem-solving, rapid iteration, and immediate feedback loops. We tested a variety of LLMs - ranging from broad-market generative AI engines to more specialised language models - to determine which processes could most effectively attribute content back to its origins.

 

2. Crafting Pioneering Technologies & IPR

Drawing on our solid foothold in the AI and Gen AI space, Spicy Mango leveraged experience gained from working with digital publishers, media powerhouses, and innovative start-ups. Together with ProRata’s in-house experts, we developed token-based formulas capable of dissecting AI outputs and mapping them to precise segments of underlying source material. These novel algorithms laid the groundwork for newly created intellectual property, positioning ProRata as a future leader in AI-driven royalty attribution.

 

3. Conditioning & Refining AI Outputs

We engaged in extensive experimentation to refine text-generation outcomes, perfecting how we analysed token distributions and model outputs. Prompt engineering and post-processing techniques were crucial in turning opaque AI processes into traceable, verifiable data. This not only improved accuracy but also provided the transparency stakeholders needed to confidently assess the viability of ProRata’s royalty-distribution model.

 

4. Rapid Development for Tangible Results

The entire project was underpinned by an urgency to deliver demonstrable features that showcased tangible progress to prospective investors and early adopters. This was not about hypotheticals but genuine functionality. We relied on frequent sprints, rigorous testing, and direct feedback from key ProRata stakeholders to ensure every milestone felt like a meaningful step forward.

 

5. Building on AWS with Microservices

After validating the core attribution concepts, Spicy Mango architected a microservices platform on AWS that ensured each component - such as LLM orchestration, token analysis, and payment calculation - could be scaled independently. We adhered to robust security and automation best practices, allowing ProRata to expand quickly without having to overhaul its underlying infrastructure.



The Benefits of Prototype Engineering

One of the foundational pillars of the ProRata project was the deliberate choice to pursue prototype engineering rather than a prolonged “big bang” development cycle. This approach offered several advantages:

 

De-Risking Innovation

By releasing early and often, the team could identify technical stumbling blocks, test new ideas, and refine the approach without having invested an excessive amount of time and resources.


Investor Confidence

High-velocity prototype builds demonstrated to potential backers that ProRata’s technology was both feasible and commercially relevant, increasing the likelihood of securing additional capital.


Faster Time to Market

Prototype engineering meant each development sprint delivered something demonstrable, evaluable, and occasionally even usable in real scenarios - significantly reducing the journey from concept to tangible product.


Collaborative Problem-Solving

Ongoing prototyping fostered a culture of open dialogue and iterative learning, enabling Spicy Mango and ProRata to jointly develop cutting-edge AI solutions.



Key Outcomes

By uniting ProRata’s visionary concept with Spicy Mango’s deep AI expertise and prototype-driven methodology, the teams achieved far-reaching results that exceeded initial expectations. Below are the central achievements that underscored the project’s success and paved the way for ProRata’s continued evolution in the AI-royalty landscape:

 

Proven AI Attribution Model

ProRata successfully demonstrated an operational method for mapping AI-generated text to its original sources, effectively addressing the “black box” challenge of contemporary LLMs.

 

New Intellectual Property

With Spicy Mango’s guidance, ProRata created pioneering attribution algorithms, generating valuable IP that sets them apart in the emerging AI-royalty market.


Accelerated Investor Readiness

The live, AWS-hosted MVP gave stakeholders hands-on experience with the platform, fuelling ProRata’s momentum and attracting crucial capital investment.


Flexible, Scalable Infrastructure

A microservices architecture on AWS ensures that ProRata can add new features, integrate additional AI engines, and expand internationally - without disruption to existing services.


Enduring Collaboration & Innovation

Co-locating in Los Angeles created a strong partnership between Spicy Mango and ProRata, driving a shared ethos of discovery, adaptation, and iteration that has led to ongoing breakthroughs in AI-based attribution.

 

Conclusion

ProRata’s quest to pioneer a fair royalty model for AI-generated content stands as one of the most compelling frontiers in contemporary technology. By harnessing Spicy Mango’s robust expertise in AI and Gen AI, and by embracing an agile, prototype-led methodology, ProRata transformed a nascent concept into a proven, investor-ready MVP. The outcome is a uniquely scalable platform - underpinned by newly forged IP - that positions ProRata at the forefront of AI-based attribution and revenue distribution.

 

About Spicy Mango

Spicy Mango is a specialist technology consultancy with extensive experience in AI, Gen AI, and media innovation. We partner with established digital publishers, broadcasters, and forward-thinking start-ups to accelerate platform transformations, establish new business models, and develop pioneering products. Whether you’re modernising legacy systems or creating first-of-its-kind AI IP, our hands-on, iterative approach transforms bold ideas into production-ready solutions. Contact us to discover how we can help you navigate the intricacies of AI-based innovation - and turn your vision into reality.


Learn more about ProRata at https://www.prorata.ai


Overview

ProRata, an emerging player in the AI and royalty-calculation space, envisioned a method to attribute outputs from large language models (LLMs) - such as ChatGPT - back to their original source materials, and then calculate royalty payments accordingly. From the outset, the endeavour presented both a rare opportunity to pioneer intellectual property (IP) in the AI sector and significant uncertainties about how best to translate a novel concept into tangible product features. ProRata enlisted Spicy Mango’s expertise to collaborate on a proof of concept (POC) that would prove the viability of their AI-based attribution model, meet tight investor timelines, and spark genuine innovation.


About ProRata

ProRata is a forward-thinking technology company dedicated to bringing transparency and fairness to the world of AI-generated content. By developing a proprietary attribution engine, ProRata empowers creators, publishers, and platform owners to trace and monetise the original sources that inform large language models (LLMs) and other AI systems. Headquartered in Los Angeles and driven by an unwavering commitment to innovation, ProRata seeks to reshape how organisations view ownership, usage, and remuneration in the AI era - enabling a new wave of responsible and equitable AI-driven applications.

 

The Challenge

ProRata’s mission was to devise a platform that could identify the origins of AI-generated content and quantify how much of that content was derived from each source. Traditional AI engines process language through complex tokenisation methods, often mixing data from countless unseen sources - raising profound questions about ownership and fair compensation. Adding further pressure was the need to deliver concrete, demonstrable progress rapidly, to convince prospective investors that ProRata’s vision was not just viable, but on the cusp of revolutionising the market.

 

Several core uncertainties shaped the project from the outset:

Engaging Multiple LLMs

Each large language model has its own architecture, biases, and limitations, complicating attempts to refine outputs and apply consistent attribution methods.

Creating Pioneering IP

ProRata required innovative algorithms and processes that reliably mapped AI-generated outputs to their sources, carving out a new IP landscape in an emerging field.

Innovating at Pace

Tight investment timelines demanded continuous development of functional prototypes and real-world demonstrations - nothing resembling mere “vapourware.”

Navigating Collaborative Unknowns

Spicy Mango and ProRata had to co-create methods and procedures on the fly, requiring transparent communication and agile thinking to overcome unforeseen technical obstacles.


Our Collaborative Approach

 

1. POC Under High Uncertainty

Spicy Mango co-located resources with ProRata in Los Angeles, forming a dedicated, cross-functional team that tackled challenges head-on. This arrangement enabled spontaneous problem-solving, rapid iteration, and immediate feedback loops. We tested a variety of LLMs - ranging from broad-market generative AI engines to more specialised language models - to determine which processes could most effectively attribute content back to its origins.

 

2. Crafting Pioneering Technologies & IPR

Drawing on our solid foothold in the AI and Gen AI space, Spicy Mango leveraged experience gained from working with digital publishers, media powerhouses, and innovative start-ups. Together with ProRata’s in-house experts, we developed token-based formulas capable of dissecting AI outputs and mapping them to precise segments of underlying source material. These novel algorithms laid the groundwork for newly created intellectual property, positioning ProRata as a future leader in AI-driven royalty attribution.

 

3. Conditioning & Refining AI Outputs

We engaged in extensive experimentation to refine text-generation outcomes, perfecting how we analysed token distributions and model outputs. Prompt engineering and post-processing techniques were crucial in turning opaque AI processes into traceable, verifiable data. This not only improved accuracy but also provided the transparency stakeholders needed to confidently assess the viability of ProRata’s royalty-distribution model.

 

4. Rapid Development for Tangible Results

The entire project was underpinned by an urgency to deliver demonstrable features that showcased tangible progress to prospective investors and early adopters. This was not about hypotheticals but genuine functionality. We relied on frequent sprints, rigorous testing, and direct feedback from key ProRata stakeholders to ensure every milestone felt like a meaningful step forward.

 

5. Building on AWS with Microservices

After validating the core attribution concepts, Spicy Mango architected a microservices platform on AWS that ensured each component - such as LLM orchestration, token analysis, and payment calculation - could be scaled independently. We adhered to robust security and automation best practices, allowing ProRata to expand quickly without having to overhaul its underlying infrastructure.



The Benefits of Prototype Engineering

One of the foundational pillars of the ProRata project was the deliberate choice to pursue prototype engineering rather than a prolonged “big bang” development cycle. This approach offered several advantages:

 

De-Risking Innovation

By releasing early and often, the team could identify technical stumbling blocks, test new ideas, and refine the approach without having invested an excessive amount of time and resources.


Investor Confidence

High-velocity prototype builds demonstrated to potential backers that ProRata’s technology was both feasible and commercially relevant, increasing the likelihood of securing additional capital.


Faster Time to Market

Prototype engineering meant each development sprint delivered something demonstrable, evaluable, and occasionally even usable in real scenarios - significantly reducing the journey from concept to tangible product.


Collaborative Problem-Solving

Ongoing prototyping fostered a culture of open dialogue and iterative learning, enabling Spicy Mango and ProRata to jointly develop cutting-edge AI solutions.



Key Outcomes

By uniting ProRata’s visionary concept with Spicy Mango’s deep AI expertise and prototype-driven methodology, the teams achieved far-reaching results that exceeded initial expectations. Below are the central achievements that underscored the project’s success and paved the way for ProRata’s continued evolution in the AI-royalty landscape:

 

Proven AI Attribution Model

ProRata successfully demonstrated an operational method for mapping AI-generated text to its original sources, effectively addressing the “black box” challenge of contemporary LLMs.

 

New Intellectual Property

With Spicy Mango’s guidance, ProRata created pioneering attribution algorithms, generating valuable IP that sets them apart in the emerging AI-royalty market.


Accelerated Investor Readiness

The live, AWS-hosted MVP gave stakeholders hands-on experience with the platform, fuelling ProRata’s momentum and attracting crucial capital investment.


Flexible, Scalable Infrastructure

A microservices architecture on AWS ensures that ProRata can add new features, integrate additional AI engines, and expand internationally - without disruption to existing services.


Enduring Collaboration & Innovation

Co-locating in Los Angeles created a strong partnership between Spicy Mango and ProRata, driving a shared ethos of discovery, adaptation, and iteration that has led to ongoing breakthroughs in AI-based attribution.

 

Conclusion

ProRata’s quest to pioneer a fair royalty model for AI-generated content stands as one of the most compelling frontiers in contemporary technology. By harnessing Spicy Mango’s robust expertise in AI and Gen AI, and by embracing an agile, prototype-led methodology, ProRata transformed a nascent concept into a proven, investor-ready MVP. The outcome is a uniquely scalable platform - underpinned by newly forged IP - that positions ProRata at the forefront of AI-based attribution and revenue distribution.

 

About Spicy Mango

Spicy Mango is a specialist technology consultancy with extensive experience in AI, Gen AI, and media innovation. We partner with established digital publishers, broadcasters, and forward-thinking start-ups to accelerate platform transformations, establish new business models, and develop pioneering products. Whether you’re modernising legacy systems or creating first-of-its-kind AI IP, our hands-on, iterative approach transforms bold ideas into production-ready solutions. Contact us to discover how we can help you navigate the intricacies of AI-based innovation - and turn your vision into reality.


Learn more about ProRata at https://www.prorata.ai


To find out more about anything you've read here, or to learn how Spicy Mango could help, drop us a note at hello@spicymango.co.uk , give us a call, or send us a message using our contact form and we'll be in touch.

To find out more about anything you've read here, or to learn how Spicy Mango could help, drop us a note at hello@spicymango.co.uk , give us a call, or send us a message using our contact form and we'll be in touch.

To find out more about anything you've read here, or to learn how Spicy Mango could help, drop us a note at hello@spicymango.co.uk , give us a call, or send us a message using our contact form and we'll be in touch.

To find out more about anything you've read here, or to learn how Spicy Mango could help, drop us a note at hello@spicymango.co.uk , give us a call, or send us a message using our contact form and we'll be in touch.

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Drop us an email at hello@spicymango.co.uk or call us on +44 (0)844 848 0441 or fill out the contact form below for a friendly chat.

We don’t share your personal details with anyone

Get in touch

Contact us - we don't bite

Drop us an email at hello@spicymango.co.uk or call us on +44 (0)844 848 0441 or fill out the contact form below for a friendly chat.

We don’t share your personal details with anyone