Production AI systems.

Not demos. Not decks. Systems that ship.

We build the AI infrastructure your team needs but can't staff for. Multi-stage pipelines, evidence-based generation, real-time monitoring — deployed to your cloud in weeks, not quarters.

The AI gap

There's a gap between what AI can do and what most companies have actually deployed. That gap is filled with:

  • // AI strategy consultants who can't write code
  • // Dev shops that build ChatGPT wrappers and call it "AI integration"
  • // Enterprise platforms that cost $500K and take 6 months to configure

You need engineers who've shipped production AI at scale. That's what we do.

Services

You don't need an AI strategy. You need an AI engineer.

Start here

Architecture Sprint

$5,000 – $8,000 · 1–2 weeks

We audit your AI setup — or design one from scratch. You get an architecture document, tech stack recommendation, build plan, and cost projection.

Most popular

System Build

$15,000 – $40,000 · 4–8 weeks

We build the core system: pipeline architecture, integrations, deployment. Production-ready, on your cloud, documented, with a full handoff.

Examples

  • Document intelligence pipelines
  • AI-powered generation systems
  • Real-time operations dashboards
  • Scoring and routing engines
Extend

Ongoing Engineering

$5,000 – $10,000/mo · Month-to-month

Iterations, monitoring, feature additions. For teams that need AI engineering capacity without a full-time hire.

Work

Selected projects. Anonymized details. Real results.

Professional Services

Document Intelligence Pipeline

Built an AI system that extracts evidence from 10+ document types, consolidates findings through a multi-stage pipeline, and generates 15-page narrative reports with source attribution.

8 hours → 45 minutes per report

Azure OpenAI Cosmos DB Typst Python
Consulting / Operations

Real-Time Resource Optimization

Built a routing algorithm that matches resources to engagements across 4 scoring dimensions with calendar intelligence, historical pattern analysis, and real-time capacity management.

101 endpoints, 32-table schema, sub-second routing

Next.js TypeScript Socket.io MS Graph
DevOps / SRE

Operational Intelligence Dashboard

Built a 12-signal monitoring system providing real-time security telemetry, cost management, infrastructure health, and attention-prioritized alerts for multi-environment cloud deployments.

12 security signals, parallel evaluation, live streaming

React Flask Azure Monitor KQL
Operations / Intelligence

Executive Automation System

Built an automated intelligence system that synthesizes email, calendar, and project data into daily executive briefings with decision tracking, commitment monitoring, and natural language search across 700+ documents.

Automated daily intelligence, semantic search over all org memory

TypeScript MS Graph MCP Python

How it works

01

Discovery call

15 minutes. You tell us what you need. We tell you if we can build it.

02

Architecture sprint

1–2 weeks. We map the system, prove the approach, estimate the build.

03

Ship it

4–8 weeks. We build, deploy, document, and hand off. You own everything.

Every engagement starts with an architecture sprint. It's how we ensure we're building the right thing — and how you evaluate us with minimal risk.

Ready to ship?

Book a 15-minute discovery call. No pitch deck. No sales process. Just a conversation about what you need built.