Startup profile · funding coverage
Sentra.app funding, valuation and investors
Organizational-memory graph for enterprise AI agents across company tools; SR006 alumnus with $5M seed.
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Funding, valuation & investors
Answer-first snapshotLatest funding
Seed
$5M · January 28, 2026
Latest known valuation
Not publicly disclosed
Total disclosed equity funding
$5M
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
seed · San Francisco, California, United States
Investors in latest funding
Lead: a16z Speedrun , Together Fund
Overview
Sentra.app builds a managed memory system joining company meetings, files, messages, code and CRM activity into a permissioned context layer for employees and agents. It integrates through APIs and MCP with tools including Slack, GitHub and collaboration systems. Instead of asking each agent to re-read every document, Sentra tracks evolving decisions and commitments.
The company joined a16z Speedrun SR006 and announced a $5M seed on January 28, 2026, co-led by a16z Speedrun and Together Fund with participation from several early-stage investors. It publicly described a paid pilot at SoftBank.
Sentra markets large reductions in token spend and improved coding agent benchmark performance, but those results are company-run studies; buyers should independently reproduce baselines, confirm permission inheritance, compare data egress and calculate ongoing storage costs. Enterprise value depends on avoiding stale or incorrect memory that could cause agents to act on outdated instructions.
Why Sentra.app is interesting
Sentra participates in the enterprise context-infrastructure race, with a $5M seed co-led by Speedrun and Together Fund. It emphasizes persisted decisions and permission-aware retrieval rather than repeated ungrounded prompting.
Product & use cases
Connect company sources, build permission-aware decision memory, and give humans or agents relevant context through governed APIs and MCP.
- Engineering agents needing cross-repository decision history
- Leadership tracking commitments from meeting and task systems
- Customer-facing agents combining account activity and internal policies
Funding history (newest first)
Competitive landscape
Edge: Persistent, linked and permissioned enterprise memory may improve context quality but must prove provenance and freshness.
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Glean direct
Enterprise search and assistants over business sources
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Hindsight adjacent
Long-term agent memory infrastructure
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Traditional RAG alternative
Document retrieval without a fully managed decision graph
Notable stories
- SR006 company: https://speedrun.a16z.com/companies/sentra
- Funding and initial pilots: https://www.prnewswire.com/news-releases/sentraapp-raises-5m-to-build-the-collective-mind-for-next-generation-enterprises-302671875.html
- Platform and self-reported benchmark detail: https://www.sentra.app/
Market / IPO context
Editorial / static context — not a live quote.
FAQs about Sentra.app
Practical answers founders, operators, and investors typically search for.
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