Most teams enter through an assessment — and the report becomes the plan for everything after it. Every engagement is fixed-scope, evidence-backed, and priced before we start. No meter running.
If you already know the narrow surface your buyer or team cares about, use one of the focused assessment pages below. If not, start with the full product-readiness assessment.
01 · AI Product Readiness Assessment
The door — an AI production-readiness & security review for AI apps, agents, RAG, and MCP systems. A fixed-scope red-team, evaluation, and production-readiness audit measured in days, not months — because your deal has a date on it. You leave with an evidence-backed report your buyer’s security team accepts, a fix plan, and one retest pass.
Focused assessment pages
- AI Security Assessment for Startups — buyer-ready AI security evidence for startups before launch, enterprise procurement, diligence, or production scale.
- LLM Red Teaming Service — prompt injection, jailbreaks, tool-use abuse, data leakage, output integrity, and evidence your security reviewer can inspect.
- RAG Security Assessment — retrieval authorization, cross-tenant leakage, indirect prompt injection, citation integrity, and context handling.
- AI Agent Security Assessment — tool permissions, excessive agency, approval gates, memory, workflow state, and audit traces.
- MCP Security Assessment — MCP servers, tools, resources, prompts, secrets, authorization, and agent workflows.
- AI Security Review Before Enterprise Procurement — a buyer-facing AI security review for teams clearing enterprise procurement or security questionnaires.
02 · Prototype-to-Production Hardening
The expansion. Your AI product works in the demo. We make it secure, stable, tested, and production-ready — security hardening, test coverage, an evaluation harness, infrastructure and monitoring, and handover documentation your next engineer can run.
03 · AI/SaaS Build and Run
The long game. Full SaaS and AI products, end to end — then kept sharp with continuous evaluation, monitoring, and scheduled re-assessment as models and threats move. Your stack, your repo, your ownership — always.
Not sure which fits? Look at what we’ve shipped, read how we test, inspect the sample AI assessment report, verify the public proof links on the Phixe verification profile, or send us your AI workflow and we’ll tell you where teams in your position usually start.