We started building before the hype cycle.
Formulate AI is an ecosystem building intelligent applications, AI-native infrastructure, and developer workflows. Founded in 2020, based in Bangalore.
Built from conviction, not trend
We started in 2020 with a simple conviction: software was going to change fundamentally as AI became infrastructure-grade. Not in a theoretical sense — in a practical, systems-level sense that would affect how applications are built, how data is retrieved, how developers work.
We began building before the hype cycle, when most of the tools we needed didn't exist yet. That meant building them ourselves — infrastructure for AI workloads, tooling for developers, workflows for intelligent applications.
Today, Formulate AI is an ecosystem spanning four products: Agent for intelligent applications, Nyas for AI-native infrastructure, Context for team wisdom, and Learn for community and education.
We are based in Bangalore, India and operate with an engineering-first mindset. No AGI theatre. No revolution claims. Just practical systems for developers building AI-native software today.
Six years of building
Starting against all odds
Founded in Bangalore during one of the most uncertain periods. We started with a conviction about where software was heading and began building the foundation.
Grit
Shipped early products. Learned what AI-native infrastructure actually required in practice. Stayed focused when most were still skeptical about production AI.
Compass over map
Found our direction. Rather than following a rigid roadmap, we let engineering reality guide us — building Nyas, Context, and the foundations of the agent system.
Journey
The ecosystem took shape. Four products. A growing community. The industry started catching up to what we had been building.
AI-native systems
Full ecosystem mode. Intelligent applications, infrastructure, developer tooling, and open-source experimentation — all connected, all in public.
Ecosystem deepens
Nyas reaches production workloads. Context ships to VS Code marketplace. The open-source repos grow into a research layer for the ecosystem.
Now
Six years in. Still engineering-first. Still building the infrastructure the next generation of AI-native software will run on.
Principles we actually work by
Engineering over hype
We measure progress by systems shipped and developers helped, not by how many times we use the word "revolutionary". The work speaks.
Practical by default
Every tool we build solves a real problem for a real developer today. We don't build for hypothetical futures or conference demos.
Open by nature
Our experiments live in public. We share what we learn. An ecosystem is stronger when knowledge flows freely through it.
Systems, not features
AI-native software requires the whole stack to work together — retrieval, memory, orchestration, interfaces. We think at the system level.