A whole flow, automated end to end.
Example · Pricing automation for rental carsOur team uses AI to build a deterministic pricing system. It pulls data from systems that were never connected: fleet, past transactions, bookings, cost sheets, competitor rates.
It applies your pricing logic and guardrails and publishes prices that a team used to set by hand. Thousands of data points, processed within seconds, every day.
Your team handles the exceptions and the judgment the data cannot show.
A language model watches for what the data does not contain yet. It researches events that move your prices: a wave of flight cancellations for a rental fleet, a competitor promotion, a supply disruption.
It flags the affected cases with a recommendation. The deterministic core stays stable. The AI layer makes it smarter at the edges.
Information locked in documents, turned into a structured decision.
Example · Tender and supplier bid evaluationBids arrive as PDFs, spreadsheets, and slide decks, each in its own format. The system extracts prices, terms, delivery dates, and certifications into one structured database that did not exist before.
From it, it builds a scored bid comparison and a financial model per scenario. Every figure links back to its page. The same extraction builds a searchable knowledge base per supplier.
A language model evaluates the bids and enriches them with what the documents leave out: web research, public registers, your own databases, past performance.
It checks where a bid's assumptions are inconsistent, which clauses carry risk, and what is missing against the requirement. It drafts the evaluation memo with a recommendation and the evidence attached.
Your team makes the award decision.
One team, one assistant built on its documents and systems.
Example · Service technician assistant for an industrial groupOur team uses AI to build a service knowledge system. It connects sources that were never connected: machine manuals, service history in the ERP, the parts catalog, warranty records. Access per role.
Part numbers, warranty status, and past repairs come straight from the source systems, never from a model. Every answer shows where it came from.
The technician asks in plain language: "Model 4200, error E17, what did we do last time?" The assistant returns the manual page, the last two repairs on that machine, and the parts on the van.
After the job, it drafts the service report and the parts order for the technician to confirm. We train the team on site, until asking the assistant is the first thing a technician does.
We spent years inside tech startups and large companies, building, running, and automating the processes we now specialize in. We know what it takes for a system to work in daily operations, and what a team needs before it trusts one.
Leads client work, scoping, and delivery.
Leads architecture and engineering.