Helping Fetch.ai Scale into a Production-Ready AI Platform
Fetch.ai builds decentralized infrastructure that enables autonomous AI agents to discover, connect, and transact across digital systems, powering a network where individuals, businesses, and developers can deploy and interact with AI on their own terms. Its platform enables agents to discover, connect, collaborate, and transact across digital systems. Its ecosystem includes ASI:One for personal users, FlockX for teams, and AgentVerse for developers building and deploying agents.
Productivity multiplier reported by the client after Atomic embedded in team leadership roles.
Day 7 retention improved significantly after feature and stability improvements.
Supported 100K+ votes during ArtPrize, one of the largest public art competitions in the world.
Client Outcomes
“Atomic embedded deeply with our team and helped translate fast-moving ideas into working systems. That partnership significantly increased our output, ultimately driving an 8x improvement in productivity.”
Atomic helped Fetch.ai turn an experimental AI product into a scalable platform
Fetch.ai brought in Atomic to help productionize a fast-moving AI product ecosystem. The client had strong academic and technical ideas, but needed support building production-grade systems, reducing technical debt, and creating a foundation the team could keep building on.
Atomic embedded with Fetch.ai’s teams to stabilize core systems, improve observability, guide product thinking, and help move ideas into working software. That work centered primarily on ASI:One, where Atomic helped improve retention, reduce failure points, and support real user growth in a highly iterative environment.
Built a reusable event bus for AI agent communication
Atomic built a backend event bus that gave Fetch.ai a common path for AI messages to move through the system. That replaced a more convoluted approach with limited observability and gave the team a foundation they could build on as new agent-driven features were added.
Productionized a fast-changing AI ecosystem with shared engineering patterns
Fetch.ai’s teams were moving quickly across ASI:One, FlockX, and AgentVerse. Atomic helped bring stability to that environment by creating reusable frontend patterns, improving code quality, and turning early prototypes into production-grade systems that could scale without adding the same level of stress and technical debt.
Established a scalable approach to AI-assisted product development
Atomic used AI intentionally in both product development and product architecture. The team worked with tools like LangGraph to build agent flows, explored evals for testing non-deterministic behavior, and paired AI-assisted development with strong engineering judgment rather than treating generated code as final output.
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