Abliteration
Abliteration provides an unrestricted, developer-controlled LLM API for high-risk work such as AI red teaming, cybersecurity testing, and synthetic data generation. The platform is drop-in compatible with OpenAI's Chat Completions and Anthropic's Messages APIs, and includes a Policy Gateway that lets customers define their own governance rules instead of relying on provider defaults. It offers zero data retention by default and supports per-project API keys, audit logging, and shadow/canary policy rollouts.
- Artificial Intelligence
- Developer Tools
- Cybersecurity
- Software Only
Funding
Funding not disclosed
Founders
Product
Problem
Organizations conducting high-risk AI work—such as red teaming, trust and safety testing, and defense-related research—often find that standard commercial LLMs refuse to generate the sensitive or adversarial content needed for these tasks. This forces teams to rely on self-hosted open-source models or fragmented internal tooling, which adds operational overhead and slows down critical security and research workflows.
Solution
Abliteration offers an unrestricted AI platform that is compatible with both OpenAI's Chat Completions and Anthropic's Messages APIs, enabling organizations to point their existing SDKs at a single base URL without code rewrites. The platform is governed by each customer's own policy, allowing them to define exactly what the model may and may not do, rather than being bound by the provider's default safety filters. This makes it suitable for generating adversarial prompts, synthetic data, and other content that mainstream LLM APIs typically block. The service is designed for production use, with a streaming playground, API credits, and documentation to support rapid integration and testing.
Target Audience
Primary customers are security red teams, trust and safety researchers, ML engineers generating synthetic data, and defense or government contractors that need unrestricted AI outputs within their own policy guardrails.
Features
- Drop-in compatibility with OpenAI's Chat Completions API and Anthropic's Messages API via a single base URL change
- Policy Gateway with policy-as-code enforcement, supporting rewrite, redact, escalate, and refuse outcomes
- Per-project API keys and token quotas for granular access control
- Audit logging with SIEM export for compliance and monitoring
- Shadow mode and canary policy rollouts for safe policy testing
- Zero prompt/output retention by default, with no training on customer data
- Models support tool calling, structured outputs (JSON mode/JSON Schema), streaming, and image inputs on select models
- Context windows up to 1,048,576 tokens with max output up to 262,144 tokens