Abliteration
Hosted unrestricted LLM that answers cybersecurity, red-team, and training-data prompts without per-request refusals and generates labelled synthetic datasets
The product is a hosted unrestricted large language model platform that handles cybersecurity, red-team, trust & safety, and synthetic training-data prompts without per-request refusals that block legitimate research and testing. It sells to developers, data teams, IT and security teams, red teams, trust & safety teams, and ML researchers in businesses and government and defense organizations. It is positioned as an OpenAI-compatible alternative governed by customer-written policy-as-code rather than provider defaults.
Key features
- Unrestricted LLM inference
- OpenAI-compatible API
- Anthropic-compatible API
- Policy-as-code governance
- Allow/refuse/rewrite/redact/escalate decisions
- Reason code on every decision
- Stream logs to SIEM
- Versioned policies with shadow mode
- Canary rollouts
- Chain-of-thought sidecars
- Live web-search grounding with citations
- Schema-validated dataset generation
- Preference pairs and eval rows
- Adversarial corpora generation
- Paid 3-row dataset preview
- Multi-destination export to Hugging Face
- Export to S3/GCS/Azure/Kaggle
- X0.1/day
- Blog
- Marketplace
- API
- Docs
- Security teams
- Software developers
- Government public sector
Recent go-to-market activity
- RT @bosanac: @BarDarlingLocal ngmi use @abliteration_ai and @OpenAI astra 6 on codex
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- RT @KaitoAI: Fastest-growing projects over the past week ↓ https://t.co/dCpb6SwmmY
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