Built for the work between teammates

Anva is a multiplayer AI workspace, founded by Aariv Bhalla and Rishaan Marwaha, so the context behind a team’s work travels with it.

Where it started

A Claude Code or Codex session holds more than the code. It holds why an approach was chosen, what failed, and what still needs checking. Working together, we kept finding that this stayed on one laptop: a teammate could pull the branch, but still had to ask what happened.

We wanted to see how much of the explanation could travel with the work. Anva collects the sessions a team chooses to share into one project context, prepares a brief and a code snapshot for a handoff, and lets the next person resume in a separate checkout with the brief ready for their agent.

A brief links its claims to the messages and commits behind them, and labels anything unsupported as an inference. That gives a team traceability. Correctness is still their call.

The founders

Aariv Bhalla

Co-founder

Aariv Bhalla is the co-founder of Anva, a multiplayer AI workspace built for collaboration with shared context. His experience spans AI reliability research, machine learning for healthcare, and building web and mobile applications. Working with AI as both a researcher and developer has shaped his understanding of its capabilities, its limitations, and the challenges of keeping context consistent across tools and teammates. He brings that perspective to building AI tools that make collaboration more connected and useful.

Rishaan Marwaha

Co-founder

Rishaan Marwaha is the co-founder of Anva, a multiplayer AI workspace built for collaboration with shared context. His experience spans developing AI tools, expanding AI literacy to more than 600 students, and advancing student-led technology policy. Working across product development, education, and advocacy has shaped his understanding of how people use AI, the barriers to adopting it, and the importance of preserving context across collaborative work. He brings that perspective to building AI tools that help people turn shared ideas into meaningful results.