Start from your problem, not our catalog.
Six common starting points, the products that fit them, and exactly how working with us proceeds.
Which team are you on?
Security & compliance review
Vet AI dependencies with signed audits, and gate risky UI patterns in CI with an auditable trail.
Reliability & on-call
Evidence-linked root-cause diagnosis from telemetry you already collect — with zero payload exposure.
Digital commerce
Catch false urgency, sneaked basket items and confirm-shaming before release, on every build.
Web3 & autonomous agents
Replay-proof, signed risk verdicts your own contracts verify — advisory, never a kill-switch.
Finance & operations
A defensible SaaS-waste estimate with its basis shown, plus credible open-source alternatives.
AI platform engineering
Vet what enters the stack, verify what changes it, and diagnose what breaks it.
How the products show up in one team's year.
An illustrative journey — not a customer case study — showing where each product enters.
A developer adds a new AI package
The package is sandboxed, scanned for CVEs and probed against the OWASP LLM Top 10. It ships with a signed audit — or it doesn't ship.
signed-audit.jsonThe checkout flow around it goes to review
The build is linted for risky patterns before release. Findings gate the merge and land as a hashed evidence bundle in CI.
evidence-bundle.jsonAn autonomous agent asks to move funds
Axiom fuses that audit result with quorum-verified chain state into a signed verdict the governing contract recovers on-chain itself.
signed-verdictTwo weeks later, latency spikes
Payload-free telemetry becomes an evidence graph, a root-cause diagnosis and the highest-confidence fix — recorded so the next recurrence is cheap.
diagnosis + fix recordFinance asks what the stack costs
Overlap and waste are estimated with the formula shown, alongside ranked open-source alternatives and a migration path.
From first look to production.
No pressure to jump stages. Most people stop at a demo and come back later — that's fine.
Learn
What we build, and why
See the product
Interfaces & real output
Technical call
With someone who built it
Demo
Against your own system
Pilot
Scoped, time-boxed, honest
Enterprise
Rollout & support
How each product plays out in practice.
Illustrative walkthroughs, not customer case studies — we don't have any we can publish yet, and we say so on the Trust Center. These show the mechanics of a real run.
AI dependency verification
A team is about to adopt a new open-source agent framework for a customer-facing feature.
Incident investigation
A production AI assistant starts timing out on roughly 8% of requests, with no code deployed that week.
Agent authorization
An autonomous treasury agent requests permission to rebalance a position above its usual threshold.
Procurement analysis
Finance asks IT to explain why the SaaS line item grew 18% year over year with no new headcount.
How working with us is structured.
We don't publish price lists — scope varies too much for a number to be honest. Here's the shape instead.
Open evaluation
Read the docs, run the CLI locally, verify a signed report yourself. No conversation required.
Prove it on your system
A scoped, time-boxed engagement against a real workload of yours, with clear success criteria agreed up front.
Rollout & support
Production deployment with onboarding, support terms and a named contact.
Fully offline
For environments with no egress. Several products are designed for exactly this.
Something else
Research collaboration, OEM, or a use case we haven't met yet. Ask.
We'd rather quote something we can stand behind than publish a number that turns out to be wrong for your scope. Tell us the workload and constraints, and you'll get a straight answer — including "this isn't ready for you yet" if that's the truth.