200,000
SKUs searchable in production on a live client catalog.
4–6 wks
Typical time from first call to a working system on your data.
3
Systems live with paying clients: discovery, quoting, and search.
Insights
Expertise
Career
About
Contact Us
Global - EN
Your Buyers Can't Find Your Products.
Your Team Can't Find The Specs.
We build AI search, product discovery, and automated quoting for distributors, manufacturers, and industrial suppliers running complex catalogs. Live in weeks, on your existing ERP and catalog data.
200,000
SKUs searchable by description, not by SKU number.
Days → Mins
Quote turnaround, with your pricing rules applied.
4–6 Weeks
First call to a working system on your data.
Results
What We've Already Built
200,000-SKU catalog, self-service orderingAn industrial distributor's buyers now find parts by describing requirements instead of searching exact SKUs. Manual support requests dropped and self-service orders rose.
Book a 30-Minute AI Operations Review
Tell us how quoting, catalog search, or documentation works in your business today. We'll tell you where AI is worth applying — and where it isn't.
No pitch deck. If we can't help, we'll say so on the call.
Tell us how quoting, catalog search, or documentation works in your business today. We'll tell you where AI is worth applying — and where it isn't.
No pitch deck. If we can't help, we'll say so on the call.
Where To Start
Most AI Projects Fail Because Nobody Mapped The Work First
Teams buy a tool, pilot it in one department, and it never reaches production. The reason is almost always the same: nobody mapped how work actually moves through the business before choosing what to automate.
We start with your workflows — quoting, procurement, catalog, documentation, approvals — and identify where AI removes real effort. Then we build the two or three systems worth building.
Thirty minutes on a call is usually enough to tell whether that is true of your operation.
We start with your workflows — quoting, procurement, catalog, documentation, approvals — and identify where AI removes real effort. Then we build the two or three systems worth building.
Thirty minutes on a call is usually enough to tell whether that is true of your operation.
Teams buy a tool, pilot it in one department, and it never reaches production. The reason is almost always the same: nobody mapped how work actually moves through the business before choosing what to automate.
We start with your workflows — quoting, procurement, catalog, documentation, approvals — and identify where AI removes real effort. Then we build the two or three systems worth building.
Thirty minutes on a call is usually enough to tell whether that is true of your operation.
We start with your workflows — quoting, procurement, catalog, documentation, approvals — and identify where AI removes real effort. Then we build the two or three systems worth building.
Thirty minutes on a call is usually enough to tell whether that is true of your operation.
Where To Start
Most AI Projects Fail Because Nobody Mapped The Work First
Before & After
What This Looks Like In Practice
What's happening now
Buyers call instead of ordering
Your catalog is too complex to search, so orders arrive as phone calls and emails that a person has to process by hand.
Quotes take days
Pricing rules, availability, and approvals live in different systems and in different people's heads.
Specs live in PDFs nobody can search
Technicians and sales engineers dig through drawings, datasheets, and manuals to answer a question they've already answered before.
Nobody can see across the operation
Inventory, supplier status, open quotes, and asset condition sit in separate systems with no single view.
Every new product multiplies the problem
Catalog growth, custom pricing, and customer-specific visibility rules compound faster than headcount.
What changes
Buyers self-serve on plain language
They describe the requirement or paste a spec, and the system returns the right part.
Quotes generate themselves
Rules applied, availability checked, approvals routed. A person reviews rather than assembles.
Every document becomes answerable
Drawings, datasheets, procedures, and ERP records searchable through one interface.
One operational view
Live visibility across inventory, suppliers, open quotes, and assets.
Infrastructure that scales
One retrieval layer serving product discovery, quoting, support, and internal knowledge.
What We've Shipped
Three Systems, In Production Today
01
AI Product Discovery
Buyers find the right product from a plain-language description, a technical requirement, or a pasted spec — no SKU needed. Built for large catalogs with custom pricing and customer-specific visibility rules.
In production on a 200,000-SKU catalog
02
AI B2B Quoting
Generates quotes from inbound email, PDFs, or a web form. Applies your pricing rules, checks availability, routes approvals. A person reviews instead of assembling.
In production with a manufacturer
03
Enterprise AI Search
Hybrid semantic and keyword retrieval across documents, catalogs, policies, knowledge bases, and ERP data through one interface. This is the layer the other two run on.
Built in-house on Vespa
Beyond these three, we build custom systems for supply chain, finance, workforce knowledge, and compliance workflows. Those are scoped per engagement rather than sold off a shelf.
AI Delivery Framework
From Operational Discovery To AI Deployment
1
Assess Operations
We map how work moves across your systems and teams, and where the real friction sits.
2
Identify Opportunities
We pinpoint where AI removes measurable effort — and rule out where it won't.
3
Prioritise Use Cases
We build a phased roadmap: what to build, in what order, and why.
4
Design Solutions
We design against your actual systems, data, and integration constraints.
5
Deploy And Improve
Solutions go live, get monitored, and get refined as adoption grows.
PHASE 01 · 1–2 WEEKSAssess OperationsAssess Operations
We map how work moves across your systems and teams, and where the real friction sits.
Engagement Outcomes
What You'll Have At Every Stage
PHASE 01 — Assess Operations
A clear view of your current workflows, AI readiness, and the highest-value operational challenges.
PHASE 02 — Identify Opportunities
A prioritised set of AI opportunities aligned with your business goals and operational realities.
PHASE 03 — Prioritise Use Cases
An AI strategy and phased roadmap showing what to build, when, and why.
PHASE 04 — Design Solutions
A validated solution design aligned with your systems, roadmap, and implementation priorities.
PHASE 05 — Deploy And Improve
Operational AI solutions, measurable outcomes, and a framework for continuous improvement.
Industries We Serve
Built For Complex Operational Environments
Manufacturing
Technicians and engineers find the right procedure, drawing, or spec in seconds instead of digging through PDFs.
Explore More
Distribution & MRO
Buyers and inside sales find the right part across a catalog too large to browse — and quote it without waiting.
Explore More
Healthcare
Clinical and operational teams retrieve product, protocol, and compliance information with precision and an audit trail.
Explore More
By The Numbers
Where We Are Today
FAQ
Questions? We've Got Answers
Book a 30-Minute AI Operations Review
Tell us how quoting, catalog search, or documentation works in your business today. We'll tell you where AI is worth applying — and where it isn't.
No pitch deck. If we can't help, we'll say so on the call.
Tell us how quoting, catalog search, or documentation works in your business today. We'll tell you where AI is worth applying — and where it isn't.
No pitch deck. If we can't help, we'll say so on the call.
