Professional Services
Secure AI agents for critical systems
TypeScope designs and builds production-grade AI agents for organizations where data confidentiality, regulatory compliance, and capability auditability are non-negotiable.
Built for where security is not optional
We work with organizations where a compromised AI agent causes real harm — to users, to operations, or to trust. If any of the following describes your situation, we should talk.
Your AI agent touches sensitive data
Customer records, financial transactions, health information, or confidential business data — where unauthorized access by generated code is not an acceptable risk.
Regulators or auditors require evidence
Compliance teams need more than a policy document. They need a demonstrable, inspectable boundary — something they can show to an auditor and point to in source code.
A security failure would be costly
Operational disruption, liability, reputational damage, or loss of user trust — where the consequence of getting it wrong is severe enough that "move fast and fix it later" is not a strategy.
How we work
Proof, not promises
Security guarantees are compile-time properties, not runtime checks or policy documents. We can show exactly which capabilities an agent may use — and prove it cannot exceed them.
LLM vendor neutral
Jo agents work with any LLM — Claude, GPT-4, Mistral, Llama, or your own fine-tuned model. We have no commercial relationship with any LLM vendor, and we keep it that way.
Full transparency
The agents we build are open to inspection. Capability boundaries are visible in the source code and type signatures. Security reviewers can read exactly what is permitted — no black boxes.
Your data stays yours
We deploy on your infrastructure. No data leaves your environment unless you explicitly wire that capability. Air-gapped deployments are a first-class option, not an afterthought.
Customer success first
We measure success by your deployment's reliability and security in production — not by contract size. We build for the long run and remain available as your system evolves.
Deep technical integrity
We tell you what Jo can and cannot guarantee. The security model has published limits — resource exhaustion, implementation bugs, prompt misuse within granted scope. We explain these upfront.
How an engagement works
Discovery
We map your use case, data flows, and required capability boundaries. We identify what the agent must access, what it must never access, and what your compliance or audit requirements impose.
Capability design
We design the interface library — the precise set of typed capabilities the agent receives. This document is the security contract. Your team reviews and approves it before any code is written.
Build & verify
We implement the trusted harness, the capability interfaces, and the agent prompt engineering. The compiler enforces the approved security contract at every build. You receive a verifiable artifact.
Evaluation & feedback
You run the agent against real or representative workloads. We establish evaluation benchmarks and track success rate metrics to measure quality over time. If capability boundaries need adjusting, we loop back to step 2 and iterate.
Security review & handover
We walk your security team through the capability boundaries, the compiler guarantees, and the limits of those guarantees. We deliver full source code, documentation, and deployment runbooks.
Ongoing support
SLA-backed support covering compiler updates, security incident response, and capability boundary adjustments as your system evolves.
Start with a conversation
Tell us about your use case. We will give you an honest assessment of what Jo can guarantee, what it cannot, and whether it is the right fit for your requirements.
Contact us