Capabilities
What we engineer.
Deep, focused AI engineering. No prompt-and-pray, no theater.
Engineering Process
From signal to shipped.
A repeatable, transparent process from first call to production monitoring.
01
01
Discovery
Business goals, constraints, success metrics.
02
02
Architecture
Systems diagram, data model, integration map.
03
03
Prototype
Working slice in the real stack within 7 days.
04
04
Build
Iterative delivery, weekly demos, staged rollout.
05
05
Deploy
Blue/green cutover, observability, runbooks.
06
06
Optimize
Eval loops, cost tuning, feature expansion.
Technology Ecosystem
The stack behind the systems.
Battle-tested tools chosen for reliability, cost, and long-term maintainability.
AI Models
OpenAIClaudeGeminiLlamaMistral
Automation
n8nMakeZapierLangGraphCrewAI
Backend
Node.jsFastAPIPythonTypeScriptBun
Frontend
ReactTanStackViteTailwindFramer Motion
Databases
SupabasePostgrespgvectorRedisMongoDB
Cloud
VercelCloudflareRailwayRenderDocker
Voice AI
ElevenLabsTwilioDeepgramOpenAI RealtimeLiveKit
CRM
HubSpotGoHighLevelSalesforceZohoClose