Startup profile · funding coverage
Abliteration.ai funding, valuation and investors
Developer-controlled LLM API serving legitimate high-risk research workflows; SR007 alumnus with company-reported $7M ARR.
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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 · Palo Alto, California, United States
Overview
Abliteration.ai offers hosted language models and compatible APIs for researchers and organizations whose legitimate technical work can be blocked by generic refusal-heavy assistants. The company markets policy gateways, optional audit metadata and prompt-retention controls intended to help organizations define their own acceptable-use boundaries. It joined Speedrun SR007.
The official portfolio description says it exceeded a $7M annualized revenue run rate and grew eightfold in the preceding month; those are startup claims, not audited revenue or independently verified recurring contracts. The founders cite prior inference-platform experience at major technology companies.
Enterprise diligence should verify safeguards, contractual restrictions, cybersecurity authorization, data handling, evaluation quality, and whether usage-based income is appropriately annualized. The company must be distinguished from unrelated domain names selling or indexing 'abliterated' models.
Why Abliteration.ai is interesting
Abliteration.ai reports crossing a $7M annualized revenue run rate in its official a16z profile, a high-visibility traction signal for an SR007 company. The figure is self-reported and independently unverified, and the product's sensitive-use orientation brings compliance challenges.
Product & use cases
Hosted language-model API compatible with familiar SDKs and an optional policy gateway for specialized, authorized research workflows.
- Authorized red teams testing security workflows
- Safety researchers building synthetic evaluation datasets
- Enterprises needing explicit custom model-use controls
Competitive landscape
Edge: Developer control and custom policies may appeal to specialized research customers but raise governance and misuse questions.
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OpenRouter adjacent
Multi-model AI API routing
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Self-hosted open-weight models alternative
Maximum policy ownership with hardware and operating costs
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Enterprise LLM APIs incumbent
General-purpose hosted model APIs with stricter policies
Notable stories
- Official SR007 report of ARR run rate: https://speedrun.a16z.com/companies/abliteration
- Product, governance and retention disclosures: https://abliteration.ai/
Market / IPO context
Editorial / static context — not a live quote.
FAQs about Abliteration.ai
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