Reflection AI
Asimov: the code-comprehension agent that reads your whole engineering org, not just code.
About
Reflection AI, founded in 2024 by former Google DeepMind researchers Misha Laskin and Ioannis Antonoglou, takes a different angle from code-generation tools: its Asimov agent is built to understand how software is built, ingesting not just code but emails, Slack messages, project updates, and documentation into a persistent team memory.
Asimov uses a deep-research architecture — multiple retriever agents feeding a combiner agent — to answer questions like 'explain our auth flow' with line-level citations to source files and commits. The company raised $2 billion at an $8 billion valuation in October 2025 (Nvidia, Sequoia, Lightspeed, Eric Schmidt) and announced Beam, a 501B-parameter open-weight model, in October 2026.
Worth knowing: there is no public pricing — procurement runs through enterprise sales, and access has been waitlist-gated. Independent analysis notes Asimov explains existing code rather than writing new code, so pair it with a generation tool rather than expecting both. The Beam model's early-access status means production bets should wait for the full release.
What it can do
- Deep-research code comprehension across repos and docs
- Answers with line-level citations to code and commits
- Persistent team memory of decisions and context
- Multi-agent retriever-plus-reasoner architecture
- Private-cloud deployment keeping data in customer control
Setup
Enterprise sales via reflection.ai. Deploys inside the customer's cloud (VPC model).
Prerequisites
Enterprise contract; cloud environment for VPC deployment.
Use cases
Works with
Trust score — 9/10
Scored 9/10 (verified tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 45; Trending score 86/100 from researcher assessment.
Sources
Every fact above was checked against these sources. Where a claim comes from the provider and couldn't be independently verified, the text says so.