AI-Powered Software in United States
LLM-integrated applications, recommendation engines, computer vision, and AI features that ship inside real products. Delivered to United States teams on your calendar.
LLM-integrated applications, recommendation engines, computer vision, and AI features that ship inside real products. US founders and operators move fast and expect production-grade work. We lock scope and price before code, commit a ship window, and deliver against a metric — replacing agency hour-clocks and stalled internal projects.
US buyers choose between offshore shops that go quiet after handoff and US agencies billing senior-partner rates for mid-level delivery. Sector rules — HIPAA, SOC 2, state privacy law — get bolted on after launch instead of scoped before the first line of code, and a hemisphere of overlap gets treated as a nice-to-have instead of a delivery requirement. That is the environment ai-powered software has to be built into, not around.
- 01Identify where AI genuinely improves the product experience.
- 02Prototype the feature against real usage to prove value.
- 03Forge the feature into the product with proper UX and guardrails.
- 04Harden with evals, cost controls, and monitoring.
- LLM-integrated web applications
- AI feature development
- Chatbot & assistant integration
- AI recommendation engines
- Computer vision integration
- AI-powered search in products
- Predictive analytics features
- GPT / Claude / Gemini integration
- SOC 2-ready architecture and audit logging from day one
- HIPAA-scoped data handling for health-adjacent products
- State privacy patterns (CCPA/CPRA-aware data flows)
- Stripe/ACH-native billing and payments
- Enterprise SSO/SAML for mid-market and enterprise buyers
What you can expect
Questions, answered straight
Yes. Aligned to ET / CT / PT working hours. From SaaS MVPs to enterprise modernization — senior engineering aligned to US time zones and shipped on your calendar.