Fuel Cycle transforms market research with an Agentic AI platform on AWS
Industries
Market Research
Tech & TOOLS
AWS Bedrock, Multi-Agent AI,
Foundation Models, AWS Cloud,
Natural Languages Interfaces
Teams & Services
AI & Agentic, Product Design & Development, AWS Engineering
milestones
Transformed to an Agentic architecture
Industry
Market Research
Tech & TOOLS
AWS Bedrock, Multi-Agent AI,
Foundation Models, AWS Cloud,
Natural Languages Interfaces
Teams & Services
AI & Agentic, Product Design & Development, AWS Engineering
milestones
Transformed to an Agentic architecture
Loka helps Fuel Cycle change the game
with a future-ready platform.
The situation
Market research is evolving rapidly. Brands no longer have weeks to wait for research reports or static dashboards. They need AI that can reason through complex questions, orchestrate multi-step workflows, and deliver insights that drive immediate business decisions.
Fuel Cycle, an AI-native decision intelligence platform that helps enterprises continuously understand customers, partnered with Loka to modernize its flagship AI products. The goal was to move from a traditional AI architecture to an Agentic platform on AWS Bedrock that could support sophisticated research workflows, leverage multiple foundation models, and evolve as AI capabilities continue to advance.
The challenge
Fuel Cycle’s existing AI could generate insights but lacked the flexibility to orchestrate complex, multi-step reasoning across diverse research scenarios. Researchers needed a platform that could understand natural language requests, dynamically select the best AI model for each task, and execute sophisticated workflows without requiring technical expertise.
The solution also needed to be future-ready. Fuel Cycle wanted an extensible architecture its own engineering team could own, customize, and continue enhancing as new models and capabilities emerged. At the same time, performance, cost efficiency, and enterprise-grade reliability remained essential for production workloads.
The solution
Loka partnered closely with Fuel Cycle’s engineering team to rebuild its AI platform around an Agentic architecture powered by Amazon Bedrock. Rather than relying on a single model, the new platform intelligently leverages multiple foundation models, selecting the most appropriate model for each research task while allowing configurations to evolve over time.
Researchers can now interact with the platform using natural language to launch complex, multi-step research workflows. Agentic AI coordinates analysis across qualitative and quantitative data, surfaces the most meaningful insights, and automates tasks that previously required significant manual effort.
Throughout the engagement, Loka worked alongside Fuel Cycle’s engineers, transferring knowledge while building a scalable architecture the customer could independently extend and maintain.
"At the center of every research study is a consumer, a patient and our solution really help their voices to be amplified.”
What we delivered
Multi-model AI orchestration: Built on AWS Bedrock, the platform intelligently leverages multiple foundation models, allowing Fuel Cycle to optimize performance, cost, and quality for different research scenarios.
Agentic research workflows: Researchers can initiate complex, multi-step analysis pipelines using natural language instead of manually coordinating multiple AI tools and processes.
Actionable decision intelligence: The new architecture goes beyond generating summaries by helping researchers uncover meaningful signals, synthesize findings, and move from insight to action faster.
Reusable AI architecture: Loka designed a modular, extensible framework that Fuel Cycle can continuously evolve as new models, capabilities, and customer use cases emerge.
Engineering enablement: By embedding directly with Fuel Cycle's engineering team, Loka ensured the platform could be independently maintained, extended, and scaled long after the engagement concluded.
Project results
Fuel Cycle successfully modernized its production AI platform with a flexible, Agentic architecture built for the next generation of AI-powered research. Researchers can now execute sophisticated workflows through natural language, select the best AI model for each task, and complete complex analyses faster and at lower cost. Built on Amazon Bedrock and engineered in partnership with Loka, the platform also gives Fuel Cycle a scalable foundation for continuously adopting new foundation models and Agentic capabilities. Highlights include:
90%: cutting analysis time by nearly 90% delivers the same depth of insight for a fraction of the effort.
Pennies per study: AWS Bedrock and intelligent model orchestration dramatically reduced AI processing costs while maintaining excellent results.
Insights: Researchers now generate more nuanced searches and richer research summaries that better capture context and meaning.
Future-ready: Fuel Cycle's new Agentic AI platform enables continuous innovation through reusable, multi-model workflows built on AWS Bedrock.
