Hivion Labs is a data-first AI studio. We clean up the data layer your business runs on, then build the agents, automations, and dashboards on top — live in weeks, improving every month.
Your sales, inventory, and marketing numbers live in ten spreadsheets and three logins. We build the warehouse and live dashboards that make Monday reporting happen by itself — the layer everything else stands on.
Agents that answer customers, qualify leads, and process documents — at 2 a.m., on Sundays, during festivals. Built on the data layer we fix first, they answer from facts; your team keeps the judgment calls.
Founders with an AI product idea: our agent factory turns it into a working MVP — real agents on a clean data model, deployed from day one. Something you can put in front of users and investors, not a demo that dies after the pitch.
We audit your workflows and data, rank where AI actually pays off, and ship one quick win before the sprint ends. A roadmap and working software — not a slide deck.
Org-wide data platforms built from zero at Georgia-Pacific and Cox Automotive — AWS pipelines, event-driven architecture, and the partitioning work that cuts processing costs at Fortune-500 scale.
Customers chat with an agent that helps them pick the right product. The agent confirms the wholesaler's price and drafts the order — a human approves before anything is final. Their marketing runs on the same stack.
A finance-domain client runs a weekly newsletter that's one of their top revenue products. Our pipeline pulls the latest market news, assembles the issue, and sends it on schedule — what was a weekly manual grind now runs itself.
I build the systems myself — no account managers, no hand-offs. Eight years building enterprise data platforms at Cox Automotive and Georgia-Pacific, from scratch both times; Hivion Labs exists because most businesses don't need more AI hype, they need their data fixed and their busywork gone. You'll work directly with me from audit to handover.
LINKEDIN →A free 30-minute audit maps your workflows and the data underneath them. A working prototype lands within 48 hours. Production ships in 2–6 weeks, scoped and quoted upfront — data layer fixed first, AI on top. Then we keep making it better, every month if you want.
Every project is scoped and quoted before we start. No meters running, no surprise invoices.
Code, credentials, docs, runbooks — everything transfers at delivery. Need a team to run it? We hire and train them, then hand over.
Built on tools you already run. Nothing proprietary, ever.
Retainers are optional and month-to-month. We earn the renewal.
We're a data-first AI studio. First we fix the data layer your business runs on — warehouse, pipelines, one source of truth. Then we build on top of it: custom AI agents, end-to-end workflow automation, and live dashboards. For founders, we also build AI product MVPs on the same agent factory. One team from "where should we use AI?" to a system running in production.
Big consultancies sell months of discovery and layers of managers; we ship a working prototype in 48 hours and you work directly with the people building. Bad data breaks bots — chatbot agencies learn that after launch. We're data engineers first: we fix the data layer, then automate on top of it.
It's our starting assumption. Most clients arrive with numbers spread across spreadsheets, tools, and inboxes — which is exactly why automation hasn't worked for them yet. Fixing that layer is phase one of every project: consolidate, clean, connect. Then the agents and automations sit on data they can trust. If your data were already perfect, you'd only need half of us.
Small and mid-size businesses worldwide — e-commerce and D2C, professional services, clinics, real estate, manufacturing, logistics. If your team is drowning in repetitive work or your numbers live in ten spreadsheets, you're our kind of client. Plus founders building AI products — see the MVP question below.
Every project is scoped and quoted after the free audit — once we understand your workflows, data, and scope. You approve the quote before work starts, and if the scope changes we re-quote openly — no hourly meters, no surprise invoices. Retainers are monthly, optional, and cancellable any month.
48 hours from kickoff you'll see a working prototype of the core workflow. Focused automations go live in 1–3 weeks; larger platforms in 2–6 weeks. You get a demo every week.
Yes. Our agent factory — the same agents, pipelines, and data models we run for client automations — turns your product idea into a working MVP in 2–6 weeks, scoped and quoted upfront. We start with the data model so it scales past the demo, and you own all the code from day one. Ideal for founders who need something real in front of users and investors, fast.
Every build ships with documentation and a full handover — you own the code and the data, no lock-in. Most clients choose a monthly retainer for monitoring and new automations, but it's optional and cancellable any month.
Claude and OpenAI models (plus open-source LLMs where they fit), Python and TypeScript, n8n for orchestration, Postgres/Supabase, Databricks for enterprise-scale data platforms, modern BI for dashboards, deployed on AWS or Vercel. We integrate with what you already use — WhatsApp Business, Zoho, Tally, Salesforce, HubSpot, Shopify, custom ERPs.
Book a free 30-minute AI audit. We map your workflows and where your data lives, rank the 2–3 highest-ROI automation opportunities, and send you a written summary — including an honest read on whether your data is ready for them. Useful whether or not you hire us. If we're a fit, a proposal follows within 48 hours and work starts within a week.
30 minutes, no pitch. You leave with an honest read on your data — and whether AI is worth it for you yet.