Building the operating layer for the next era of company building
AI is fundamentally changing how companies get built. We are shaping what comes next.
A new kind of operating layer
Company building is at an inflection point. Artificial intelligence is fundamentally reshaping how products are planned, built, and shipped, and how small teams stay aligned while they do it.
AI increases what a founding team can create, but it also raises the bar for clarity and coordination. At Thesis, we are building the tools for this era: a purpose-built system where people and agents operate together in one shared, structured environment.
Thesis unifies issues, projects, initiatives, inbox, documentation, and an AI agent that reads across the company. Instead of stitching together five products and losing context in the gaps, teams get one operating layer: fast, keyboard-first, and designed for craft.
Thesis is built by Atlas. We started from a simple belief: early companies deserve software that matches how they actually work. Tight loops, high ambition, and zero patience for tools that get in the way. We care deeply about speed, taste, and the quiet details that make software feel inevitable.
We’re a small team focused on the long game: making Thesis the default operating layer for the next generation of companies. If that resonates, we’d love to build with you.
What we build
Issues & projects
Track work with the speed of a modern issue tracker and the structure of a real product org: teams, cycles, views, and priorities in one place.
Thesis Agent
An AI that reads across your workspace: draft specs, summarize cycles, answer questions, and surface what matters before you have to ask.
Complete context
Docs, resources, integrations, and customer signal sit next to the work, so shipping never means losing the story behind a decision.
The man behind Thesis
Jaineel Shah · Founder, Thesis
I built Thesis because early companies deserve one place to run the work, not five tools that fight each other for context.
