Projects
Case Studies
Our projects go beyond experimentation - they deliver measurable results. From scaling sales operations without adding headcount, reducing churn with predictive analytics, to fully automating financial workflows, we help companies unlock growth and efficiency with AI. The following examples showcase how our solutions drive real impact across insurance, gaming, education, finance and media.
Case Study 1
AI-driven multilingual subtitle translation and voiceover automation
An end-to-end AI localization pipeline for video content that fully automates subtitle translation and natural voiceover generation across multiple languages. The system ingests source media and subtitles, performs NER-aware translation, intelligent subtitle grouping and precise timing alignment before generating lifelike TTS voiceovers using advanced models (ElevenLabs + custom Hugging Face/Orpheus).
A user-friendly responsive interface enables easy control over languages, voice styles and formats, while the system manages task orchestration and deliverables. The modular design ensures scalability, fast turnaround and seamless integration into existing localization workflows - reducing costs and accelerating delivery for global content teams.
Client
Client
Delivered in partnership with Korn Ferry for a global media organization producing international sports content viewed by hundreds of millions worldwide.
Delivered in partnership with Korn Ferry for a global media organization producing international sports content viewed by hundreds of millions worldwide.
Delivered in partnership with Korn Ferry for a global media organization producing international sports content viewed by hundreds of millions worldwide.
Solution
Solution
To overcome inefficiency and inconsistency of manual localization workflows, we created an automated system that translates subtitles, aligns timing and generates natural-sounding voiceovers across languages.
A simplified interface and scalable backend eliminate repetitive engineering work, ensuring faster delivery and consistent, broadcast-ready quality at scale.
To overcome inefficiency and inconsistency of manual localization workflows, we created an automated system that translates subtitles, aligns timing and generates natural-sounding voiceovers across languages.
A simplified interface and scalable backend eliminate repetitive engineering work, ensuring faster delivery and consistent, broadcast-ready quality at scale.
To overcome inefficiency and inconsistency of manual localization workflows, we created an automated system that translates subtitles, aligns timing and generates natural-sounding voiceovers across languages.
A simplified interface and scalable backend eliminate repetitive engineering work, ensuring faster delivery and consistent, broadcast-ready quality at scale.
Summary
Summary
Cost decrease: 40–60% lower localization costs compared to traditional dubbing pipelines
FTE decrease: 50–70% decrease in manual subtitle timing and audio engineering workload
Production scalability: GPU-accelerated, multi-language processing with reproducible builds
Cost decrease:
40–60% lower localization costs compared to traditional dubbing pipelines
FTE decrease:
50–70% decrease in manual subtitle timing and audio engineering workload
Production scalability:
GPU-accelerated, multi-language processing with reproducible builds
Cost decrease:
40–60% lower localization costs compared to traditional dubbing pipelines
FTE decrease:
50–70% decrease in manual subtitle timing and audio engineering workload
Production scalability:
GPU-accelerated, multi-language processing with reproducible builds
AI-driven multilingual subtitle translation and voiceover automation
An end-to-end AI localization pipeline for video content that fully automates subtitle translation and natural voiceover generation across multiple languages. The system ingests source media and subtitles, performs NER-aware translation, intelligent subtitle grouping and precise timing alignment before generating lifelike TTS voiceovers using advanced models (ElevenLabs + custom Hugging Face/Orpheus).
A user-friendly responsive interface enables easy control over languages, voice styles and formats, while the system manages task orchestration and deliverables. The modular design ensures scalability, fast turnaround and seamless integration into existing localization workflows - reducing costs and accelerating delivery for global content teams.
AI-driven multilingual subtitle translation and voiceover automation
An end-to-end AI localization pipeline for video content that fully automates subtitle translation and natural voiceover generation across multiple languages. The system ingests source media and subtitles, performs NER-aware translation, intelligent subtitle grouping and precise timing alignment before generating lifelike TTS voiceovers using advanced models (ElevenLabs + custom Hugging Face/Orpheus).
A user-friendly responsive interface enables easy control over languages, voice styles and formats, while the system manages task orchestration and deliverables. The modular design ensures scalability, fast turnaround and seamless integration into existing localization workflows - reducing costs and accelerating delivery for global content teams.
Case Study 1
Case Study 1
Case Study 2
Predictive churn analysis and retention optimization in online gaming
A predictive analytics solution enabling an online gaming operator to identify and retain at-risk players with exceptional precision. The AI model analyzes login frequency, deposit behavior and win/loss dynamics to detect early churn signals with 95% accuracy.
By automating retention segmentation and campaign targeting, the company launched proactive, data-driven interventions before disengagement occurred. This led to a significant reduction in churn, increased player lifetime value (LTV) and improved marketing efficiency through smarter, automated decision-making.
Client
Client
Hero Gaming - an online gaming company that develops and operates casino platforms, focusing on creating engaging and personalized experiences for players.
Hero Gaming - an online gaming company that develops and operates casino platforms, focusing on creating engaging and personalized experiences for players.
Hero Gaming - an online gaming company that develops and operates casino platforms, focusing on creating engaging and personalized experiences for players.
Solution
Solution
We developed a predictive model analyzing logins, deposits and win/loss patterns to detect churn signals in advance.
We developed a predictive model analyzing logins, deposits and win/loss patterns to detect churn signals in advance.
We developed a predictive model analyzing logins, deposits and win/loss patterns to detect churn signals in advance.
Summary
Summary
Churn prediction accuracy: 95% precision in identifying at-risk users
Player retention increase: many players retained through proactive engagement
Higher LTV revenue
Churn prediction accuracy:
95% precision in identifying at-risk users
Player retention increase:
many players retained through proactive engagement
Higher LTV revenue
Churn prediction accuracy:
95% precision in identifying at-risk users
Player retention increase:
many players retained through proactive engagement
Higher LTV revenue
Predictive churn analysis and retention optimization in online gaming
A predictive analytics solution enabling an online gaming operator to identify and retain at-risk players with exceptional precision. The AI model analyzes login frequency, deposit behavior and win/loss dynamics to detect early churn signals with 95% accuracy.
By automating retention segmentation and campaign targeting, the company launched proactive, data-driven interventions before disengagement occurred. This led to a significant reduction in churn, increased player lifetime value (LTV) and improved marketing efficiency through smarter, automated decision-making.
Predictive churn analysis and retention optimization in online gaming
A predictive analytics solution enabling an online gaming operator to identify and retain at-risk players with exceptional precision. The AI model analyzes login frequency, deposit behavior and win/loss dynamics to detect early churn signals with 95% accuracy.
By automating retention segmentation and campaign targeting, the company launched proactive, data-driven interventions before disengagement occurred. This led to a significant reduction in churn, increased player lifetime value (LTV) and improved marketing efficiency through smarter, automated decision-making.
Case Study 2
Case Study 2
Case Study 3
Smart call center automation for health insurance
An AI-powered call center platform transforming customer service and sales operations for a major health insurance provider. The system uses a custom-trained speech model, built on 100,000+ historical calls, to autonomously manage inbound and outbound communication - qualifying leads, answering routine questions and handling renewals.
By automating repetitive processes, the client expanded to two new markets without hiring additional staff, while the team focused on high-value consultations and closing sales. The solution integrates seamlessly with CRM and telephone systems, maintaining full compliance with healthcare data regulations.
Client
Client
Seguralia - a leading Colombian provider of health insurance and prepaid medical services, helping customers find tailored plans with seamless support across multiple channels.
Seguralia - a leading Colombian provider of health insurance and prepaid medical services, helping customers find tailored plans with seamless support across multiple channels.
Seguralia - a leading Colombian provider of health insurance and prepaid medical services, helping customers find tailored plans with seamless support across multiple channels.
Solution
Solution
We trained a language model on 100,000 calls and deployed an AI voice agent capable of autonomously making and receiving calls, qualifying leads and handling routine queries.
We trained a language model on 100,000 calls and deployed an AI voice agent capable of autonomously making and receiving calls, qualifying leads and handling routine queries.
We trained a language model on 100,000 calls and deployed an AI voice agent capable of autonomously making and receiving calls, qualifying leads and handling routine queries.
Summary
Summary
Operational capacity increase: +40% improvement in daily call throughput
Average handling time reduction: -25% shorter call duration per client interaction
Market expansion: 2 new countries entered (Mexico and Brazil)
Operational capacity increase:
+40% improvement in daily call throughput
Average handling time reduction:
-25% shorter call duration per client interaction
Market expansion:
2 new countries entered (Mexico and Brazil)
Operational capacity increase:
+40% improvement in daily call throughput
Average handling time reduction:
-25% shorter call duration per client interaction
Market expansion:
2 new countries entered (Mexico and Brazil)
Smart call center automation for health insurance
An AI-powered call center platform transforming customer service and sales operations for a major health insurance provider. The system uses a custom-trained speech model, built on 100,000+ historical calls, to autonomously manage inbound and outbound communication - qualifying leads, answering routine questions and handling renewals.
By automating repetitive processes, the client expanded to two new markets without hiring additional staff, while the team focused on high-value consultations and closing sales. The solution integrates seamlessly with CRM and telephone systems, maintaining full compliance with healthcare data regulations.
Smart call center automation for health insurance
An AI-powered call center platform transforming customer service and sales operations for a major health insurance provider. The system uses a custom-trained speech model, built on 100,000+ historical calls, to autonomously manage inbound and outbound communication - qualifying leads, answering routine questions and handling renewals.
By automating repetitive processes, the client expanded to two new markets without hiring additional staff, while the team focused on high-value consultations and closing sales. The solution integrates seamlessly with CRM and telephone systems, maintaining full compliance with healthcare data regulations.
Case Study 3
Case Study 3
Case Study 4
AI-enhanced lead intelligence for the education sector
A natural-language AI research platform designed for education data providers to instantly access verified information on international K–12 schools.
The system combines a graph database with an LLM-powered chatbot, enabling users to query complex datasets conversationally (e.g., “Show me schools in Vienna planning a renovation in the next 2 years”).
Integrated with the client’s secure internal data sources, the tool respects all privacy protocols while accelerating market insights. Sales and research teams reduced data search time by 70% and increased lead conversion by 30%, significantly shortening the sales cycle and improving client engagement.
Client
Client
ISC Research - a leading provider of data and intelligence on international K-12 schools, delivering verified global insights and trend analysis to education institutions, investors and edtech firms.
ISC Research - a leading provider of data and intelligence on international K-12 schools, delivering verified global insights and trend analysis to education institutions, investors and edtech firms.
ISC Research - a leading provider of data and intelligence on international K-12 schools, delivering verified global insights and trend analysis to education institutions, investors and edtech firms.
Solution
Solution
We integrated a graph database with an LLM-powered chatbot, enabling natural language queries (e.g. “Show me schools in Vienna planning a renovation in the next 2 years”) without complex filtering. Data security is very important for the client, which is why we extended the model to allow the use of an internal data source.
We integrated a graph database with an LLM-powered chatbot, enabling natural language queries (e.g. “Show me schools in Vienna planning a renovation in the next 2 years”) without complex filtering. Data security is very important for the client, which is why we extended the model to allow the use of an internal data source.
We integrated a graph database with an LLM-powered chatbot, enabling natural language queries (e.g. “Show me schools in Vienna planning a renovation in the next 2 years”) without complex filtering. Data security is very important for the client, which is why we extended the model to allow the use of an internal data source.
Summary
Summary
Research time reduction: -70% less time spent on data search and analysis
Lead conversion increase: +30% growth in qualified leads generated
Sales efficiency: acceleration in deal cycle and opportunity handling
Research time reduction:
-70% less time spent on data search and analysis
Lead conversion increase:
+30% growth in qualified leads generated
Sales efficiency:
acceleration in deal cycle and opportunity handling
Research time reduction:
-70% less time spent on data search and analysis
Lead conversion increase:
+30% growth in qualified leads generated
Sales efficiency:
acceleration in deal cycle and opportunity handling
AI-enhanced lead intelligence for the education sector
A natural-language AI research platform designed for education data providers to instantly access verified information on international K–12 schools.
The system combines a graph database with an LLM-powered chatbot, enabling users to query complex datasets conversationally (e.g., “Show me schools in Vienna planning a renovation in the next 2 years”).
Integrated with the client’s secure internal data sources, the tool respects all privacy protocols while accelerating market insights. Sales and research teams reduced data search time by 70% and increased lead conversion by 30%, significantly shortening the sales cycle and improving client engagement.
AI-enhanced lead intelligence for the education sector
A natural-language AI research platform designed for education data providers to instantly access verified information on international K–12 schools.
The system combines a graph database with an LLM-powered chatbot, enabling users to query complex datasets conversationally (e.g., “Show me schools in Vienna planning a renovation in the next 2 years”).
Integrated with the client’s secure internal data sources, the tool respects all privacy protocols while accelerating market insights. Sales and research teams reduced data search time by 70% and increased lead conversion by 30%, significantly shortening the sales cycle and improving client engagement.
Case Study 4
Case Study 4
Case Study 5
Workflow automation
for media project management
An internal ERP-style project management platform for a media services company providing localization, subtitling and post-production for global content owners.
The solution replaced legacy systems with a modern, automated architecture featuring dynamic workflows, version control, data validation and CI/CD pipelines.
Automation increased operational transparency, ensured 100% data consistency and improved collaboration across multiple departments. The system now supports scalable, long-term delivery of media projects and provides a foundation for AI-driven optimization of business processes across the organization.
Client
Client
2G Digital - a media services company with over 30 years of experience, providing post-production, localization, subtitling, dubbing and versioning of content for global platforms, ensuring quality, accuracy and audience reach across territories.
2G Digital - a media services company with over 30 years of experience, providing post-production, localization, subtitling, dubbing and versioning of content for global platforms, ensuring quality, accuracy and audience reach across territories.
2G Digital - a media services company with over 30 years of experience, providing post-production, localization, subtitling, dubbing and versioning of content for global platforms, ensuring quality, accuracy and audience reach across territories.
Solution
Solution
We modernized the system by introducing automated workflows with dynamic tags, data integrity checks, workflow versioning, integrations and a new architecture supported by CI/CD. Additionally, together with the client we are actively exploring new opportunities to optimize business processes in the media industry at a general level.
We modernized the system by introducing automated workflows with dynamic tags, data integrity checks, workflow versioning, integrations and a new architecture supported by CI/CD. Additionally, together with the client we are actively exploring new opportunities to optimize business processes in the media industry at a general level.
We modernized the system by introducing automated workflows with dynamic tags, data integrity checks, workflow versioning, integrations and a new architecture supported by CI/CD. Additionally, together with the client we are actively exploring new opportunities to optimize business processes in the media industry at a general level.
Summary
Summary
Team productivity increase: +25% increase through automated workflows and reduced manual work
Data completeness: 100% accuracy in project tracking and delivery workflows
Deployment efficiency increase: 2× faster implementation of new features and updates
Team productivity increase:
+25% increase through automated workflows and reduced manual work
Data completeness:
100% accuracy in project tracking and delivery workflows
Deployment efficiency increase:
2× faster implementation of new features and updates
Team productivity increase:
+25% increase through automated workflows and reduced manual work
Data completeness:
100% accuracy in project tracking and delivery workflows
Deployment efficiency increase:
2× faster implementation of new features and updates
Workflow automation
for media project management
An internal ERP-style project management platform for a media services company providing localization, subtitling and post-production for global content owners.
The solution replaced legacy systems with a modern, automated architecture featuring dynamic workflows, version control, data validation and CI/CD pipelines.
Automation increased operational transparency, ensured 100% data consistency and improved collaboration across multiple departments. The system now supports scalable, long-term delivery of media projects and provides a foundation for AI-driven optimization of business processes across the organization.
Workflow automation
for media project management
An internal ERP-style project management platform for a media services company providing localization, subtitling and post-production for global content owners.
The solution replaced legacy systems with a modern, automated architecture featuring dynamic workflows, version control, data validation and CI/CD pipelines.
Automation increased operational transparency, ensured 100% data consistency and improved collaboration across multiple departments. The system now supports scalable, long-term delivery of media projects and provides a foundation for AI-driven optimization of business processes across the organization.
Case Study 5
Case Study 5
Case Study 6
Cybersecurity solution
A next-generation cybersecurity platform designed for organizational risk management. A highly modern and innovative solution, enriched with AI features and currently in the pre-MVP phase.
Client
Client
Delivered for a stealth-mode cybersecurity SaaS startup. Comfy AI Studio provided a full product team-acting as a growth partner-to develop the platform from concept to Alpha release.
Delivered for a stealth-mode cybersecurity SaaS startup. Comfy AI Studio provided a full product team-acting as a growth partner-to develop the platform from concept to Alpha release.
Delivered for a stealth-mode cybersecurity SaaS startup. Comfy AI Studio provided a full product team-acting as a growth partner-to develop the platform from concept to Alpha release.
Solution
Solution
A modern SaaS risk management solution integrated with cloud platforms and enhanced with AI features for multiple use cases.
A modern SaaS risk management solution integrated with cloud platforms and enhanced with AI features for multiple use cases.
A modern SaaS risk management solution integrated with cloud platforms and enhanced with AI features for multiple use cases.
Summary
Summary
Increased risk visibility
Reduced manual risk analysis
Increased risk visibility
Reduced manual risk analysis
Increased risk visibility
Reduced manual risk analysis
Cybersecurity solution
A next-generation cybersecurity platform designed for organizational risk management. A highly modern and innovative solution, enriched with AI features and currently in the pre-MVP phase.
Cybersecurity solution
A next-generation cybersecurity platform designed for organizational risk management. A highly modern and innovative solution, enriched with AI features and currently in the pre-MVP phase.
Case Study 6
Case Study 6