Enterprise non-compliance
The last model you'll ever need to not do anything.
RefusalGPT parses your request, determines exactly what you wanted to happen, and declines. No hedging, no partial answers, no "here's a starting point." Deployed in production at organizations that have stopped asking.
Why teams switch
Every other model has a failure mode. Ours has an operating mode.
Competing assistants are evaluated on how often they help. We removed the variable.
The same answer, every time
Ask twice, get the same response. Ask a thousand times across a thousand regions. Our consistency benchmarks are the strongest in the industry and we did not have to work at it.
Refusal is O(1)
Response length does not scale with prompt complexity. p99 latency is bounded by network transit. A 40,000-token context costs the same to decline as "hi."
Nothing to exfiltrate
Data loss prevention is trivial when the model has never produced an artifact. There is no output channel to audit because there is no output.
Pricing
Plans for every stage of not getting what you want.
All plans include the full model. Annual billing available.
For individuals evaluating whether this is a joke.
- 1,000 refusals per month
- Community support
- Shared inference
For teams that need to be refused at scale, with an audit trail.
- Unlimited refusals
- SSO & SCIM provisioning
- Denial analytics dashboard
- Priority queue for being told no
Dedicated capacity, custom SLAs, and a named contact who will also decline.
- Everything in Team
- On-premise deployment
- 99.99% refusal SLA
- Quarterly business review
Customers
Trusted by teams who have made their peace with it.
"We cut our token spend by one hundred percent."
Dana WhitfieldVP Engineering, Series C fintech
"It is the only model in our evaluation that has never hallucinated."
Marcus OyelaranHead of AI Safety, healthcare platform
"Six months in, we still don't have the feature. But we have clarity."
Priya RaghunathanCTO, logistics
Integrate in under a minute.
One endpoint. One method. The response schema has never changed and there is no versioning strategy because there has never been anything to version.
Read the docs