Five disciplines.
Direct line to your lead engineer.

Off-the-shelf bends your operation to its model. Custom software bends to yours. We design and build the platforms, dashboards, and APIs that match how your business actually works — type-safe end to end, observable from day one, and shipped on a foundation we keep current.

What it includes

• Web platforms and internal tools
• Dashboards and admin consoles
• Internal APIs and external integrations
• Auth, billing, and tenancy infrastructure
• End-to-end type safety with full test coverage
• Deployment, monitoring, and runbooks

Most agencies hand off design to engineering across two teams and three time zones. We don’t. Apps are designed and shipped by the same person who’ll fix them at 2 AM if they break. Native-feel UX, real performance budgets, and an App Store / Play Store path that doesn’t surprise you on submission day.

What it includes

• iOS, Android, and web from a shared core where it makes sense
• Platform-native code where it doesn’t
• Design system and component library
• Offline-first architecture
• Push notifications, deep links, in-app billing
• Submission, review response, and post-launch support

Most AI features fail not because the model is wrong but because the system around it is. We design AI capability that holds up under real traffic: retrieval that returns the right documents, agents that don’t hallucinate the action they take, evals that catch regressions before users do.

What it includes

• Retrieval pipelines with evaluation harnesses
• Agentic workflows and tool-use orchestration
• Custom chatbots and copilots embedded in your product
• Model selection across major vendors and open-source, scoped to your needs
• Vector storage and semantic search
• Evaluation harnesses and prompt regression tests

Legacy isn’t a dirty word. It usually means the software worked long enough to matter. The job isn’t a rewrite for its own sake; it’s surgery — keep what earns its keep, replace what’s bleeding cost, and keep the lights on the whole way through. We do this in increments you can ship, not in a year-long bet.

What it includes

• Code and architecture audit with prioritized findings
• Strangler-fig migration plans (incremental, reversible)
• Database migrations with read/write coexistence
• Type-safety and test coverage retrofits
• CI/CD modernization and deployment hardening
• Knowledge transfer and runbook authoring

Before you spend six figures on an AI initiative, it pays to have someone technical-but-not-selling-the-build look at your plan. Engagements are scoped, focused, and end with a written plan you own — not a deck of options that nudges toward an upsell.

What it includes

• AI readiness audits across data, infrastructure, and team
• Architecture review of in-flight AI systems
• Vendor and model selection guidance
• Build-vs-buy analysis with cost modeling
• Roadmap and rollout planning
• Written deliverables you keep, not just slides