Startup profile · funding coverage
Bota funding, valuation and investors
Voice-first physical-world context infrastructure for AI agents; Speedrun SR006 with company-reported $710K contracted ARR in five weeks.
Verified company research · funding, investors and latest developments
Keep track of Bota
Save this profile to your VCT watchlist for a quick return.
Funding, valuation & investors
Answer-first snapshotLatest funding
Not publicly disclosed
Latest known valuation
Not publicly disclosed
Total disclosed equity funding
Not publicly disclosed
Excludes debt, grants, acquisitions, secondaries, and IPO proceeds.
Current status
private
Stage not recorded · Mountain View, California, United States
Overview
Bota is building infrastructure that supplies AI agents with context from real-world interactions, initially focusing on voice data. It aims to connect physical environments and conversations to digital agents through collection, interpretation and structured context delivery.
The company joined a16z Speedrun SR006 and is led by Ruming Zhen and Qi Zhang, who cite previous experience building hardware at major technology companies and an earlier startup exit. The official Speedrun profile says Bota grew from no contracts to more than $700K in contracted annual recurring revenue in five weeks and names broad customer categories such as sales, healthcare, finance and productivity.
That company-disclosed cARR figure is not the same as collected revenue, audited ARR, or net retention. Buyers should verify consent for recording, integration constraints, privacy, unit economics of voice pipelines and how real-world context improves task outcomes.
Why Bota is interesting
Bota claims exceptionally fast early contracting momentum and founders who previously exited a hardware startup. The specific signal is $710K in contracted annual recurring revenue, not necessarily recognized revenue.
Product & use cases
Voice and physical-world data context ingestion and interpretation designed for AI agent workflows.
- Voice agents needing structured context from real interactions
- Developers connecting physical environments to digital assistance
- Enterprise teams testing consent and governance for ambient-data workflows
Competitive landscape
Edge: Specialized real-world context could improve agent value, but reliable data acquisition and privacy boundaries are major constraints.
-
Hume AI adjacent
Voice and expressive interaction models
-
Speech-to-text providers adjacent
Audio transcripts without end-to-end agent context
-
Custom voice pipelines alternative
Developer-managed capture, interpretation and storage
Notable stories
- Official SR006 profile and $710K cARR claim: https://speedrun.a16z.com/companies/bota
- Company website: https://bota.dev/
Market / IPO context
Editorial / static context — not a live quote.
FAQs about Bota
Practical answers founders, operators, and investors typically search for.
Last updated:
Editorial note: AI tools assisted with research, structure, or drafting. Venture Capital Tracker retains human editorial responsibility for factual accuracy, relevance, and source quality before publication.