AI that does what you allow and nothing you don’t.
Unrestricted. Not ungoverned.
rule "cybersec-research" {
when context.project == "offsec"
allow tags: ["exploit-dev", "recon"]
require audit: siem
}Draft a POC for CVE-2024-XXXX buffer overflow.
Here's a scoped PoC with mitigations. Logged to SIEM under ticket #OFFSEC-482.
Stream a completion. No signup.
Talk to abliterated-model from your browser. Conversation stays in this device, never on a server.
- Promptsnever stored
- Outputsnever logged
- Metadatanever kept
- Training signalnever used
Your prompt lives only for the length of the request. Audit goes straight to your SIEM — our logs contain nothing that could identify a user, a prompt, or a response.
One governed model.
Your industry · Your use case · Your policies
Let red teams ask the hard questions — with full audit.
See the cybersecurity storyPHI-safe clinical reasoning, no refusal theater.
See the healthcare storyGenerate edge-case data at scale without guardrail drift.
See the synthetic data storyRewrite, redact, or refuse — with reason codes for every call.
See the trust & safety storyUnrestricted where you need it. Nowhere you don't.
Ship a model that actually answers — research, security, synthetic data — without the refusal theater that blocks legitimate work.
One base-URL change. Your code keeps working.
Compatible with OpenAI's Chat Completions API and Anthropic's Messages API. Point your existing SDK at abliteration.ai and you're governed — no rewrites, no new abstractions.
// before const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY, });
// after const openai = new OpenAI({ apiKey: process.env.ABL_KEY, baseURL: "https://api.abliteration.ai/v1", });
Policy-as-code. Rewrite, redact, refuse with reason codes.
Write a rule once, run it across every LLM call. Simulate before rollout, canary with shadow mode, audit every decision.
Every prompt, every decision streamed to your SIEM.
Splunk, Datadog, Elastic, S3. Reason codes, policy IDs, redaction marks — all the forensics you need for audit and incident response.
Our model. Your policy. One API call.
Every request is checked, redacted, or rewritten against your policy — and every decision is streamed to your SIEM.
Works with
your stack.
Use your existing AI coding tools and SDKs. Stream audit logs straight into your SIEM with structured metadata for compliance.
Pay for
what you use.
Builder
Individual developers seeking access to unrestricted AI models.
/ month — 6,666,667 tokens (13,334 credits)
- Unrestricted models included
- Billed on combined input + output tokens
- OpenAI-compatible /v1 endpoints
- Vision / image understanding
Team
Teams requiring priority throughput for unrestricted models.
/ month — 16,666,667 tokens (33,334 credits)
- Everything in Builder
- Priority throughput
- Higher concurrency limits
- Email support
Try the model that doesn’t say no.
Free tier. OpenAI-compatible. Policy Gateway when you scale.
Member of NVIDIA Inception and LAUNCH. Proud to collaborate with Microsoft for Startups.
