We implement AI for mid-market companies who cannot afford to lose control of their data or their decisions. One firm, strategy to production. We stay until it works.
Employees don't ask permission. Copilot, ChatGPT, and a dozen others are already running inside your organization. Gartner estimates 40% of firms will face a shadow AI security incident this year. Kiteworks found 63% of organizations cannot enforce limits on what AI is actually doing with their data. The risk is not a future decision. It is a present condition.
Move Fast
Why Not Both?
Stay Safe
32.7%
AI code accepted without revision
LinearB, 2026, 8.1M PRs
66%
of developers cite AI's "almost right" problem
Stack Overflow, 2025, 49K+ devs
40%
of orgs will face a shadow AI incident this year
Gartner forecast
63%
cannot enforce purpose limits on AI systems
Kiteworks, 2026
19% slower
Developer output with AI tools (believed 24% faster)
METR, 2025
The gap between AI confidence and AI control is where our clients find us.
No handoffs between vendors. No lost context. No re-explaining your business to a new team every phase. The knowledge stays, the accountability stays, and the work keeps moving.
Controls from day one, not an afterthought. We design for compliance, data protection, and explainability before we write a single line of code.
Not until the contract ends. Not until the hours run out. Until it works. This is contractual, not marketing.
Three offers. One progression. Start with knowing where you stand.
We work with companies in industries where AI cannot fail.
Providers, payers, healthtech
Banks, funds, fintech
Law firms, legal tech
Carriers, brokers, insurtech
Series B+ with data to protect
Published analyses on AI governance, implementation failure, and what the data actually shows.
AWS and New Relic ship automated rollback. But error-rate triggers cannot catch AI's hardest failure: plausible wrong answers that return HTTP 200.
Product teams face the biggest structural shift since Agile. The winners won't have the best AI. They'll have the best governance.
Three independent sources converge: AI speed without governance produces negative outcomes. The pattern echoes a 30-year electrification delay.
OpenAI retired its own coding benchmark. 59% of tests were flawed, all frontier models contaminated. The measurement gap is a governance gap.
OpenAI data shows frontier workers are 6x more productive. The gap is real, but the binary framing is wrong.
A prompt injection in Cline's issue triage bot led to a supply chain compromise. Three composed weaknesses. One GitHub account required.
Start with an Assessment. Four weeks. Clear answers. No commitment to what comes next.
Schedule Your Assessment CallNo commitment required. Let's just talk.