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