Data infrastructure that makes AI work for your business
Claude, ChatGPT, and the tools built on them are only as good as the data they can reach. We design, build, and run the structured data layer that turns your business knowledge into something AI can actually use.
Off-the-shelf AI doesn't know your business
Generic models are impressive — until you ask them about your pricing, your policies, or your customers.
Knowledge scattered everywhere
Your pricing, policies, product specs, and expertise live in PDFs, inboxes, spreadsheets, and people's heads. No AI tool can reliably reach any of it.
Ungrounded answers
Without a source of truth to draw from, AI fills the gaps with plausible-sounding guesses. Fine for brainstorming — a liability for anything customer-facing.
Systems that can't talk
Your website, store, and CRM each hold a piece of the picture, with no shared, API-accessible layer connecting them to the AI models you want to use.
From scattered knowledge to a working AI data layer
A build-and-run engagement in four stages.
Audit & schema design
We map where your business knowledge lives today and design a structured schema for how it should be organized — so every downstream tool draws from the same model of your business.
Build the source of truth
We consolidate your content, data, and expertise into a structured, API-accessible repository — a single canonical layer your whole stack can query.
Connect your AI
We wire the layer into Claude, ChatGPT, and the systems around them, so assistants, automations, and integrations are grounded in your real data instead of guessing.
Run and grow it
We stay in the engine room after launch — keeping data fresh, growing the schema, and adding new integrations as your needs expand.
Once the foundation is in place, the tools come fast
Every one of these draws from the same structured layer — build one, and the next gets easier.
Sales & RFP response
Answer security questionnaires, RFPs, and sales requests in hours instead of weeks — with every response drawn from approved, current information.
Customer-facing assistants
Chat and support experiences that answer from your actual products, policies, and pricing — not a model's best guess.
Internal copilots
Give your team AI that knows your SOPs, your clients, and your history — not just the public internet.
Grounded content
Marketing and product content generated in your voice, from your facts — at a pace a small team could never match by hand.
Connected commerce & CRM
Push structured product and customer data to Shopify, HubSpot, Salesforce, and beyond — from one canonical source.
Whatever comes next
New models and AI tools arrive monthly. With a structured data layer in place, adopting them is a connection — not a rebuild.
Built and run — not handed off
Since 2013, we've built and operated sales, marketing, and e-commerce systems for growing businesses. We don't deliver a strategy deck and disappear — we implement, operate, and stay accountable for the systems we build. Your AI data infrastructure gets the same treatment: a one-time build to stand up the foundation, and an ongoing engagement to keep it fresh, growing, and connected.
This is how we build for our own clients
Two engagements where a structured data layer turned AI from a demo into a working operation.
Salty Cape: One Headless CMS, Every Channel
Hogy embraced a headless CMS to power Salty Cape: a Sanity content layer feeding a Next.js front-end, an AI-enabled publishing operation, and additional channels like the app and the book.
Industrial Defender: An AI-Powered Content Publishing Pipeline
An OT cybersecurity leader rebuilt its web publishing operation around Webflow and Claude — turning landing pages, case studies, SEO pages, and solution briefs into a structured, repeatable pipeline.