We work with businesses in regulated and high-stakes environments. That shapes every engineering and process decision we make — from which AI frameworks we refuse to use, to how client credentials are handled, to what happens to your data when an engagement ends.
Autonomous agents are powerful — and dangerous when deployed carelessly. We deliberately avoid permissive agent frameworks with known prompt-injection exposure and internet-exposed deployment patterns.
Every agent runs with the minimum access needed for its task. No blanket system access, no standing root privileges.
Agent workloads run in isolated environments, separated from production systems and from each other.
Every agent action is logged and reviewable. If an agent did it, there's a record of it.
Actions with business consequences — payments, external communications, data deletion — require human review before execution.
We build on Claude and the Model Context Protocol, with private gateways so client data is never exposed to public training sets.
We execute mutual NDAs before discovery. Send us yours, or we'll provide one.
Scope, deliverables, timelines, and service levels defined in writing before work begins.
A PMP-certified founder owns every engagement end to end. One name on the line — not a rotating account team.
Delivery capacity beyond the founder is provided by named delivery partners, under confidentiality obligations, with US-based project oversight on every engagement. You always know who is doing the work.
| Subprocessor | Role |
|---|---|
| SmartData | Delivery partner — engineering capacity |
| Flexsin | Delivery partner — engineering capacity |
| Techtek | Delivery partner — engineering capacity |
Engagement-specific subprocessor disclosures available on request. Clients are notified before any new subprocessor touches their work.
Security questionnaires, diligence calls, architecture reviews — bring them. We'd rather answer hard questions up front than surprise you later.