AI Accountability
AI can have poor behavior
when not checked.
Get your AI to be accountable.
Stop settling for 91% good. Close the loop with verification at every step. Deploy AI that completes what it starts.
The completion rate of unverified AI solutions
Where edge cases, errors, and production failures live
What your customers and stakeholders expect
The 91% Problem
Poor behavior without accountability
Unchecked AI exhibits systematic failures that look like success until production.
Hallucinations
GPT-4 confidently invents facts, citations, and solutions. You ship them believing they're real.
→ Verification catches this
Incomplete Reasoning
Claude stops mid-proof. The logic looks sound but the conclusion never arrives.
→ Multi-tool chains complete it
"Looks Right"
Solutions pass code review and CI/CD. They fail in production with edge cases nobody tested.
→ Adversarial testing finds this
Partial Deliverables
Agents claim success on 91% of the task. The last 9% is where the real work starts.
→ Completion verification required
The Solution
Close the loop to 100%
Foundation tier adds verification layers at every step. No more "good enough."
Without Verification
GPT-4 → 91% solution
Hope it's right
Partial proof
Unverified claims
"Looks right"
No mathematical validation
Ships with hope
Fails in production
With Foundation Tier
GPT-4 → Magnum verify → 100% proven
Mathematical proof of correctness
Full proof + adversarial testing
Every claim validated
Mathematically verified
Formal proof systems
Ships with confidence
Production-ready guarantees
Accountability Stack
Make AI accountable
Multi-layered verification ensures 100% completion, not 91% good enough.
Titan Exhaustive
7-tool verification pipeline. Every phase validated before the next. Adversarial testing of final results.
- → bcalc discovers patterns
- → Magnum predicts structure
- → Compute validates numerically
- → Magnum verifies proof
- → Design experiments
- → Detect errors
- → Test adversarially
Magnum
Mathematical proof verification at research grade. Error detection and correction. Theorem validation.
- → Verify proofs before deployment
- → Find errors in reasoning
- → Predict mathematical structure
- → Test conjectures
- → Validate theorems
Auto-invent
Complete invention cycles from hypothesis to validated solution. No partial deliverables.
- → Mind opener explores angles
- → Idea fold tests via STEM
- → bcalc discovers connections
- → Genius_plus creates solution
- → CVI verifies constraints
Genius_plus
Self-correcting reasoning. Iterates until 100% correct. Learns from verification failures.
- → Generate initial solution
- → Self-critique and verify
- → Iterate on failures
- → Validate correctness
- → Complete until 100%
Stop settling for 91%
Make your AI accountable with Foundation tier. Close the loop to 100%.
$50,000+ annual commitment • Enterprise verification tools