We build GPT-powered apps end-to-end and connect them to real business systems via MCP — securely, reliably, and fast.
The key is not “chat”. The key is an app that can safely use your existing backend: APIs, databases, internal services, CRM/ERP, and workflows — with proper permissions, guardrails, and observability.
Product discovery, architecture, UI/UX, implementation, deployment, and ongoing iterations — shipped as a real product, not a demo.
We implement MCP servers/tools around your systems and make them usable by GPT apps: clean contracts, consistent schemas, versioning, and safe execution.
We don’t rewrite your business. We wrap and adapt what you already have (REST/GraphQL, DBs, queues, internal services) into reliable capabilities the AI can use.
Permissions, data access rules, redaction, rate limits, and safe tool execution. We design the system so failures are controlled and auditable.
Logging, traces, evaluations, feedback loops, and cost controls — so you can improve outcomes and keep the system predictable.
A simple packaging so decision-makers can evaluate risks and move fast.
Identify high-leverage workflows, map data sources, define permissions, and build a realistic roadmap.
Wrap your backend into MCP tools with schemas and safe execution, then validate on real scenarios.
Build the product experience: UI, conversation flows, actions, approvals, and error states.
Ship to real users, measure outcomes, add guardrails, and improve quality with feedback and evaluations.