We build the systems
your AI actually
runs on.
Production AI agents, modern data warehouses, and intelligent automation — built by engineers, not consultants. We ship what others present.
AI matters. Almost nobody
is doing it right.
No Strategy
Random AI experiments with no roadmap, no prioritization, and no measurable ROI. Money spent, nothing shipped.
Broken Data
AI can't work when your data infrastructure is held together with duct tape, tribal knowledge, and prayer.
Tool Sprawl
Buying 15 AI tools nobody uses instead of solving actual workflow problems. Shelfware, not software.
No Adoption
Built it, nobody came. Change management is treated as an afterthought — or ignored entirely.
of companies say their AI initiatives have not delivered meaningful business value.
Five ways in. One goal.
We take on a handful of clients at a time so every engagement gets our full attention. Start wherever you need us most — most clients begin with an assessment, then expand.
AI & Data Readiness Assessment
Two-week sprint. Full audit of your tech, data, and workflows. You get a scored use-case matrix, prioritized roadmap, and 12-month implementation plan.
8–12 stakeholder interviews across your org
Tech & data infrastructure audit
AI opportunity scoring ranked by impact & feasibility
Executive-ready deliverable with ROI estimates
AI Agents & Automation
Production AI agent deployment, workflow automation, enterprise tool rollouts, and the change management to make it stick. Strategy through shipping.
Custom AI agent design, build, and deployment
Enterprise AI rollouts with adoption programs
RAG, knowledge platforms, and field diagnostics
GPU strategy, model fine-tuning, and inference infrastructure
Data Modernization
Pipeline architecture, Snowflake/dbt implementation, operational analytics, and custom BI — built by a team that's done it across PE-backed services companies, marketplaces, and startups.
Custom data connectors that outperform managed platforms
Change-data-capture for systems that delete records
Semantic layer — every metric defined once
Custom BI + AI analyst replacing traditional licensing
AI Executive Partnership
Fractional Chief AI Officer, embedded with your C-suite. We work hands-on to identify, build, and deploy AI across your business function. No decks — working software.
Direct Slack access to senior AI architects
3–5 quick wins identified in first 2 weeks
Build-vs-buy guidance and vendor evaluation
Team training and self-sustaining AI playbooks
AI & Data Retainer
We own and operate your AI and data systems long-term. Monthly sprints, continuous improvement, and a team that knows your stack inside and out.
Dedicated hours with sprint-based delivery
KPI tracking, optimization, and quarterly briefings
New use-case identification and tool upgrades
Department-by-department rollout management
We've already built this.
Every engagement below shipped to production. No prototypes. No POCs collecting dust.
Modern Data & AI Platform
Replaced legacy SQL Server with a full Snowflake/dbt warehouse, AI-powered analytics, semantic search, and Slack-integrated AI analyst — across 120+ locations.
AI Field Diagnostics Platform
Replaced a vendor-locked chatbot with a modern RAG platform — semantic chunking, transparent reasoning, and a knowledge management system for 300+ field technicians.
Agent Deployment Platform
Built a full-stack agent platform with auth, observability, code execution, and evals — enabling 10 custom agents across research, data, and internal ops.
Scalable GPU Infrastructure
Navigated the neocloud marketplace, brokered a strategic partnership, and stood up an always-on cluster for custom model training and inference.
ChatGPT Enterprise Rollout
Managed end-to-end migration of 1,200 employees from a legacy AI tool to ChatGPT Enterprise — hackathons, workshops, train-the-trainer, and executive coaching.
Always-On AI Strategy Agent
Deployed an agentic assistant connected to Slack and Notion for a senior partner — synthesizing portfolio status, strategy docs, and cross-functional updates on demand.
Not them.
| Big 4 / McKinsey | Internal Hire | Dev Shop | Relic AI | |
|---|---|---|---|---|
| Time to Value | 6–12 months | 3–6 months | 2–4 months | 2–4 weeks |
| Builds Things | Rarely | Yes | Yes | Yes — it's all we do |
| AI + Data Together | Separate teams | Maybe | Code only | One team, one stack |
| Exec Partnership | Advisor only | 1 person | No | Embedded |
| Understands PE | Some | No | No | Built for PE |
| Change Management | Separate engagement | Not their job | No | Included |
From first call to
production in weeks.
Assess
Stakeholder interviews, tech & data audit, AI opportunity scoring, executive readiness report.
Foundation
Data pipeline modernization, AI governance framework, pilot use case deployment, team training launch.
Scale
Department-by-department rollout, exec partnership activation, KPI measurement & optimization.
Optimize
Monthly performance reviews, new use case identification, tool upgrades & tuning, quarterly executive briefings.
Let's build
something real.
We intentionally limit the number of companies we work with at any given time. If we're a fit, we go deep — not wide. No pitch. No pressure. Just two engineers who want to understand your problem.