We help bank CIOs consolidate sprawling SaaS subscriptions and build strictly governed, in-house replacements using harness-driven AI development.
Every external vendor expands your attack surface. You spend months on security reviews for tools that ultimately force your proprietary data onto third-party servers.
Per-seat licenses and usage tiers penalize your growth. You are renting generic software at a premium when your internal teams could own bespoke solutions.
Roadmaps are dictated by the vendor's VC board, not your operational needs. You are forced to adapt your enterprise workflows to their product constraints.
AI-native engineering isn't just generating code. It's about rigorous, observable delivery. We train your engineers to manage AI agents via strict testing harnesses, ensuring every deployment is predictable and auditable.
Requirements are written as executable constraints before a single line of code is generated.
AI models generate code within strict, isolated environments devoid of production access.
Generated code must pass continuous, aggressive testing harnesses to proceed.
Your engineers remain the ultimate arbiters, reviewing and merging validated pull requests.
Built for environments where compliance is non-negotiable.
We don't bring external risk; we help you eliminate it.
Every line of code traces back to a specification and an evaluation run. No black boxes. Complete lineage for your risk team.
The software we help you build lives on your infrastructure. Your proprietary data never crosses an external boundary.
No big-bang disasters. We identify high-cost, low-complexity SaaS tools and replace them systematically, proving ROI early.
Model the financial impact of replacing rented software with owned, AI-native infrastructure.
Illustrative Assumptions: Build requires 80 human review hours per system (assuming 80% automated agent scaffolding). Maintenance projected at 20 hours/month per system.