[01]Data first, then agents
We do both halves: the pipeline that produces clean, current, traceable data, and the agents that act on it. Most shops only do the second, which is why their pilots stall.
Provenance on every row: where it came from, when it was fetched, and how fresh it is.
AI-native studio. Agent loops do the volume, and whoever architects your system writes it.
[02]Who we are
We are partners in an AI-native merchant bank, and we built the platform it runs on. Not a vendor relationship, our own skin.
[03]In short
Three numbers and three ways of working. Everything below is the long version.
80 TB
Public web data
Already collected and refreshed monthly. You start from the data instead of paying for the collecting.
14M+
Job posts, still growing
Upwork, LinkedIn and web jobs, tracked in real time. AI feeds turn them into leads for our customers, with provenance on every row.
10+
Built into revenue
Apps and SaaS we built, ours and our clients'. All of them make money. That is the test we build to.
AI-native
How we build
Agent loops do the volume. Whoever architects your system writes it, and reviews everything that ships.
SOC 2, GDPR, CCPA
How we handle data
We have run a SOC 2 programme and shipped under GDPR and CCPA. Public data only, provenance on every row, no fake accounts.
No pilots
How we ship
The real thing, in your repo, on your infrastructure. The pilot is where other shops stall.
That is the half we build.
[04]What we offer
01
Data intelligence
Collection, enrichment and monitoring at web scale.
02
Reverse engineering
When there is no API, we make one.
03
AI agents and automation
Agents that do real work inside a company.
04
Product engineering
Web and mobile. New, inherited or rescued.
Start with the hard part.
Fixed price, three to five days.
[05]How to start
Every engagement gets a fixed price and a date before anything is built. The audit is how we get to both.
[01]
Fixed price, three to five days
Feasibility audit
Whether it can be got or built, at what freshness or scope, and what it costs to run. You get the answer in writing, including when the answer is no.
[02]
Fixed price and a date, both set by the audit
Pipeline build
Extraction, normalization and delivery into your warehouse or behind your own API, with provenance on every row.
[03]
Fixed price and a date, both set by the audit
Agent or RAG build
Agents, retrieval and interfaces over your data or ours. Evals and a human in the loop until the output has earned the trust.
[04]
Fixed price and a date, both set by the audit
Product build
Web or mobile, new or into a codebase that already exists. Shipped in your repo, on your infrastructure, and in both stores when it needs to be.
[05]
Monthly, and never required
Keep-it-running retainer
Sources change markup, add limits and start blocking. Monitoring, source drift and block-rate maintenance, for as long as you want it.
No lock-in. You own the code, the prompts and the data, on your own infrastructure.
Book a feasibility audit[06]How it works
The audit sets that date before anything starts, and it is the normal case rather than the rush case.
Day 1
Scope
One call, then a written plan with a fixed price and a date. Not a discovery phase.
Day 2-3
Architecture
The design for your systems and constraints, agreed before anything is built.
Day 4-8
Build and test
Working software every day, in your repository, on your infrastructure.
Day 9-10
Ship and hand over
Live, documented, and yours. We train whoever is going to run it.
A pipeline that worked last month can quietly return nothing. This is the part nobody quotes for.
Monitoring
Row counts, freshness and block rates watched, so a source that stops answering is an alert and not a surprise in a quarterly report.
Source drift
Sites change markup, add rate limits and add bot detection. We keep the extraction working through it, and say so when a source is no longer worth the fight.
Handover
You own the code, the prompts and the data. We document the failure modes and train whoever is going to run it, whether or not you keep us on.
[07]Our stack
[08]How we work
No account managers, no delivery leads, no junior inheriting a spec. You talk to the people building the thing.
Six years of production software, including a serverless backend at millions of daily requests. Two years running our own AI products.
[09]Research
Two datasets we collect and keep current, and what we find when we read them.
By UpHunt / Our own product
Every public posting we have indexed, with skills, budgets, categories, contractor tiers and client activity intact. Query it in your own database the day you buy it.
By LinkFetch / Our own product
Full descriptions, parsed salaries, and applicant counts tracked as they move. Up to 100,000 new postings a day, and no personal profiles, now or later.
By UpHunt Team / Our own product
The market shrank 19% in a year, but not evenly. AI postings grew 21% through the decline and now take a fifth of the feed, AI work carries a 58% budget premium, and entry-level briefs fell almost twice as fast as the market did.
[10]Answers
No. Most projects start with a short paid audit to map the process and work out what automation is worth. If we don't think it makes sense for you, we'll tell you. Ongoing support is available but never required.
Have a question?
[11]Let's get started
Every enquiry goes straight to an engineer. Not a sales inbox, not a form queue.
Book a free 30-minute call. No deck and no discovery phase. If it looks worth building, the next step is a fixed-price feasibility audit.
