We help engineering teams adopt AI, build AI-powered products, and replace legacy vendors with in-house systems.
You own everything we ship. No SaaS. No lock-in.
AI work held to the standards that matter. SOC2, ISO 42001, NIST AI RMF, HIPAA, FedRAMP, and the cloud frameworks your auditors care about.
Every engagement follows the same arc, whether you're rolling out AI to your team or shipping an AI product to your users.
From Claude Code rollouts to shipping AI products. We handle the hard parts. Strategy. Security. The actual build.
Claude Code, Cursor, Copilot, or custom internal AI tools. We design the rollout with data boundaries, access controls, and review policies. Adoption without the security team pulling the emergency brake.
Agentic workflows. Document and RAG pipelines on sensitive data. LLM features embedded in your existing product. Evals that catch regressions as you iterate. We deploy on AWS (including Bedrock and GovCloud), GCP, or Azure with VPC private links, network segmentation, and audit-grade logging. FedRAMP, HIPAA, and ISO 42001 ready where required. Your data never trains a third-party model. Local or private models when nothing can leave the environment. Built to scale and stay cost-efficient in production.
Modern AI tools changed the math. Teams are replacing legacy SaaS vendors with in-house systems they actually own. We help you evaluate the tradeoffs, team, timeline, ongoing maintenance, and real cost, then chart the path forward. We can build it with you or help you stand up the in-house team. Either way, we set up the evals and monitoring to keep the new system safe and working in production.
Model access controls, data governance, content filtering, eval frameworks, and ISO 42001 or FedRAMP certification where required. Your security team gets a framework they can defend. Your engineering team gets to ship.
The rigor behind our AI work. We run SOC2 readiness, HIPAA, ISO 27001, FedRAMP, and penetration tests end-to-end when you need them. Most engagements complete in 2 to 4 weeks.
PE and VC firms hire us to assess acquisition targets. Is the AI stack real or a thin wrapper? What’s the data moat? What’s the security exposure? We deliver a diligence report your deal team can act on.
A look at the work we've shipped for teams like yours.
AI Engagements Shipped
Production work for teams across regulated enterprise, healthcare, investment firms, govtech, and more.
Hedge Fund · Azure
A hedge fund training ML models on Azure to predict deal flow. We audited the full cloud setup. Identities, secrets, network paths, and the data flowing into their ML pipeline. We ranked every issue by risk and worked alongside their team to close the gaps. Their risk committee got the audit trail. The ML team kept shipping.
Healthcare Startup · HIPAA
A healthcare startup pre-launch with a HIPAA roadmap and zero infrastructure. We helped them hire their first engineer, stood up a HIPAA-compliant AWS account from scratch, rolled out Claude Code across the team with guardrails, and built the RAG pipeline for safely searching their legal and patient documents. They shipped from ground zero.
Every company is racing to adopt AI. Most are doing it without a plan, without guardrails, and without anyone on the team who's shipped AI at scale. We're the team that has. We bring security engineering rigor to every line of it.
Security teams are rejecting AI rollouts. Engineering teams are shipping AI anyway. We break the stalemate. Security gets a framework they can defend. Engineering gets a path they can move on. Weeks, not quarters.
We’re not a SaaS. Every workflow, every system, every line of code is tailored to you and lives in your infrastructure. We can run it, or we can help you hire and stand up the in-house team that does. Keep us on or walk away with everything. No lock-in. No per-seat fees.
We don’t just advise. We build. Our engineers integrate LLMs into production systems, ship agent products, stand up RAG on real data, and write the evals that keep it honest. You get people who’ve shipped, not a slide deck.
Working AI systems. Governance your security team can defend. Build-vs-buy reports your board can act on. No 200-page PDFs. No generic recommendations. Every deliverable is written for the audience that has to use it.
Real findings from real engagements. The rigor we bring to every AI rollout, product build, and governance program.
“I detected a public S3 bucket (prod-data-backup) containing PII. This violates your data classification policy. I’ve generated a Terraform patch to enforce private access.”
“Your "Employee Onboarding Policy" is missing from the evidence room. This is required for SOC2 CC1.2. We drafted a policy based on your current workflows.”
“5 new engineers have not completed their security awareness training within the 30-day window. We flagged this for your HR team.”
“Your RDS instances are not using encrypted storage at rest. While not a current breach risk, this is a best practice recommendation for your roadmap.”
“Your customer-facing LLM endpoint has no prompt injection defense. We detected 14 exploit patterns in production logs from the last 30 days. We drafted input guardrails and an eval harness to verify.”
“Offboarding incomplete for user "jdoe". GitHub access remains active 48h after termination date. We flagged this for immediate revocation.”
“Your OpenAI API calls include customer PII with retention enabled. We mapped the data flow, configured zero-retention endpoints, and drafted the data processing addendum.”
“Detected unencrypted HTTP traffic to internal load balancer "payment-lb". This exposes internal data. Recommend enabling TLS 1.2+ termination immediately.”
“Container vulnerability scan found "Log4j" in production image "payment-service:v2.1". This is a critical RCE risk. Immediate patch required.”
“Your customer support chatbot has no content filtering or output monitoring. User data is being sent to a third-party API without a data processing agreement. We recommend adding guardrails and updating your vendor agreement before scaling this deployment.”
Talk to us about what you're trying to ship. We'll scope the engagement, give you a timeline, and explain exactly what you'll own at the end.
No SaaS. No per-seat fees. You pay for the engagement. You own the outcome.
Every engagement is scoped to what you're trying to ship. A Claude Code rollout. An agentic product build. A build-vs-buy advisory sprint. An ISO 42001 certification. A SOC2 audit. Tell us the outcome and we'll give you a fixed price and a delivery date.
