We build and maintain systems that collect, check, and update your business data, or keep watch on the competitors and markets you follow. Verified results land in the tools your team already uses, and your people approve anything the system isn’t sure about.
AI agent development
Supplier price lists, product catalogs, and spec sheets collected, matched to your SKUs, and checked against your rules, then written into your ERP, PIM, or store on a schedule. Anything uncertain waits for your team’s review.
Built for distributors, wholesalers, and ecommerce teams
Competitor pricing, features, and product launches tracked at the source. Real changes are confirmed, compared with what came before, and sent to your team in Slack or a weekly brief, with links to the evidence.
Built for B2B SaaS product teams and research firms
Who it’s for
The common thread is information someone on your team collects, checks, and re-enters manually every week, with no engineer free to automate it.
Suppliers send price lists as spreadsheets, PDFs, and portal exports, and someone reconciles them against your catalog every week.
What we handle
Several product feeds have left you with duplicate listings, missing attributes, and specs that no longer match what you sell.
What we handle
You compete with 5 to 30 companies, and you hear about their new features and pricing changes from prospects before anyone else.
What we handle
Your analysts rebuild the same company lists and profiles for every engagement before the real analysis can even start.
What we handle
How it works in practice
Every run follows the same pattern. Information comes in, gets checked against your rules, and only then lands in your systems. Anything uncertain goes to a person, not into your catalog. These examples are illustrations, not client work.
Specialty distributor
A supplier sends its monthly price list
Comes in:2,400 rows of new prices, with three new pack sizes
Checked
Approved prices updated in your ERP, with a run report
What you get
Each build is made for your sources and your systems, and we keep it running after launch.
Results are written to your ERP, PIM, store, CRM, or a shared sheet through their own imports and APIs. No new dashboard for your team to learn.
Low-confidence matches, unusual price changes, and conflicting facts wait for a person. Your team’s decisions become the rules for later runs.
Each update keeps its source, the date it was checked, and the value it replaced, so anyone can trace a number back to where it came from.
Sites get redesigned and suppliers change file formats. We watch every run, get alerted when a source breaks, and fix it as part of upkeep.
Control
Your team keeps ownership and the final say. We build, run, and maintain the system around those decisions.
Ownership and approvals
Build and upkeep
How it works
Step 1
We watch the work as your team does it today, gather real examples, and confirm we’re allowed to use each source. It’s a paid check, credited toward the build.
Step 2
We agree on what counts as correct before writing code, then build and test against your own records until the results clear that bar.
Step 3
It goes live with your review queue in place. We watch every run, report on the results, and repair sources as they change over time.
Fit
Agents earn their keep on recurring, messy work. If a simple script or an inexpensive tool does the job, we’ll tell you.
Pricing
Every project is different, so there’s no rate card. You get a written quote for the build and the monthly upkeep before we start.
Each part is quoted separately.
One written quote
Before work begins
You own the code, the accounts, and the data.
You can export your data and end the upkeep at any time.
Sources, accuracy, ownership, and pricing. If your question isn’t here, ask it in the form at the top of the page.
Often a script or your software’s own import is enough, and we’ll say so. Agents are worth it when inputs are messy, need interpretation, or come from many sources in different formats. Most of what we build is ordinary code, with AI used only for the ambiguous parts, like matching and classification.
Supplier feeds and files you’re entitled to, your own systems, public pages whose terms allow it, and licensed data you already pay for. We check access rights before building. We don’t get around logins, paywalls, or anti-bot protection, and we don’t collect personal data.
Every run is checked. If a source changes its layout or format, the run is flagged instead of writing bad data, and we repair it as part of the monthly upkeep.
Results are checked against rules you agree to, such as required fields, valid SKUs, and limits on price changes. Anything that fails or looks uncertain goes to your review queue, and every change keeps a link to its source.
You do. We build in your accounts wherever possible, the data lives in your systems, and you can export everything and end the upkeep at any time.
It starts with a paid feasibility check on real examples, credited toward the build. After that you get a written quote for the build and a monthly upkeep fee. Data and model fees are billed at cost, within limits you set.
Tell us what your team collects or checks manually, where it comes from, and where it should end up. We’ll tell you honestly whether an agent, a script, or an existing tool is the right fit.
Describe the task