Data you can trust. AI you can put to work.

First class data and AI operations for your next phase of growth.

Talk to us Who we work with

What we build

The operating layer underneath the decisions.

Data foundations.

One warehouse and automated pipelines, so every system feeds one source of truth.

BigQuery · Snowflake · dbt · Python

Reporting and dashboards.

Dashboards that update themselves. Fully custom dashboards, built around how your team actually reviews the business.

Looker · Looker Studio · custom web dashboards

KPI definitions.

Agreed definitions for the numbers your team uses to review the business.

AI agents and automation.

Intake, triage and drafting workflows that hand off to people only for exceptions.

n8n · Make · Zapier · LLM APIs

Knowledge and retrieval (RAG).

Search and Q&A over a company's own documents and records, inside the tools people already use.

Vector search · OpenAI embeddings · MCP

Operational data diligence.

Tracing whether a target's numbers come from real systems or someone's spreadsheet, before the price is set.

Who we work with

How we help you scale.

Private equity

Operating partners, deal teams and independent sponsors. Diligence, the build, exit readiness.

Automation agencies

Additional delivery capacity in your stack, plus data, software and AI when the scope goes further.

Federal primes

VetCert SDVOSB for data and AI subcontracting.

QoE firms

Operational and data diligence alongside your quality-of-earnings work.

How engagements run

Assess. Build. Support.

Assess.

A fixed-fee diagnostic that ends in a written build spec, including what is out of scope.

Build.

Fixed scope, fixed price, delivered in milestones. The first real business meeting runs on the new system within 30 days of go-live.

Support.

A bounded retainer with a documented handoff package at every renewal, so you are never locked in.

How we work Find your Level

Recent work

Built, shipped, in use.

Knowledge retrieval for a multi-department firm.

Problem: Staff spent time asking colleagues for answers that already existed across four systems.

Built: Ingestion from Google Drive, Slack, Asana and Slab into a vector index, answered from inside the AI assistant staff already use. Delivered with a channel partner.

Pricing engine and quote tool for a PE-backed specialty dealer.

Problem: Quotes ran on a spreadsheet one rep maintained, vendor pricing lived in five fabricator portals, and margin was reconciled by hand.

Built: One pricing warehouse fed directly from five fabricators' pricing APIs, a rebuilt pricing engine, and a quote tool with PDF output used daily by sales and design. Assessment first, then a fixed-price build in five milestones.

Knowledge-base pipeline for a venture-backed cybersecurity software company.

Problem: Two audiences, including an enterprise technology partner, needed different versions of the same documentation.

Built: One source repository publishing to two knowledge bases with automated filtering, variable replacement and a review stage.

SBA VetCert SDVOSB·Palantir American Tech Fellowship (2026)·OpenAI Select Partner·

Tell us what you're trying to make trustworthy.

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