Enterprise AI Red-Team Program
Continuous adversarial testing of your AI estate, mapped to the frameworks your buyers ask about.
view the engagement →Every current service and price, in one place. Start with the lane that matches the work: security, a fixed outcome, agentic delivery, or senior expert ownership.
Human-led adversarial testing, safety architecture, and ongoing hardening for consequential AI systems.
Continuous adversarial testing of your AI estate, mapped to the frameworks your buyers ask about.
view the engagement →A one-week exposure read on a single AI system before committing to a broader assessment.
view the engagement →Apply functional-safety discipline to AI boundaries, independent monitoring, failure handling, and evidence.
view the engagement →Ongoing remediation guidance, ship-time retesting, and monitoring for a changing AI surface.
view the engagement →Fixed-scope work for teams that know the problem to resolve or the outcome to ship.
Test one workflow with a working proof and a prioritized production plan; the fee is credited toward a build.
view the engagement →One production-grade agent or automation, shipped with tests, documentation, and full ownership.
view the engagement →A system or AI architecture review with an executive-readable risk register, remediation plan, and walkthrough.
view the engagement →Turn a generative or vibe-coded system into a go-to-market readiness plan and executable issue deck.
view the engagement →AIWG-run, multi-model delivery with human review, explicit limitations, and artifacts your team keeps.
Answer one important question with multi-model research, clean synthesis, confidence notes, and an auditable source trail.
view the engagement →A bounded codebase review with ranked findings and an executable issue list.
view the engagement →Turn scattered code, notes, tickets, and existing documentation into a focused, human-edited docs pack.
view the engagement →Extract and normalize documents, tables, media, or messy source material into usable structured data.
view the engagement →Move one bounded system, corpus, or content slice with comparison, verification notes, and a next-pass map.
view the engagement →Start with one tactical blocker or scope a larger expert-led build around an owned outcome.
A compact expert pass on one concrete technical question, decision, review point, or blocker.
view the engagement →A larger expert-led build with senior architecture, hands-on execution, visible checkpoints, and a clean handoff.
view the engagement →Bring the decision, workflow, or system that is stuck. We will help identify the smallest useful starting point—and say when none of these engagements is the right fit.