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Industries

For enterprises that run on real operations

Proven patterns, adapted to each sector's data and to the people who make its decisions.

01

Steel, metals & heavy industry

Integrated plants, mills and process industries

A modern plant records thousands of readings every minute, and most of that data is only used to explain yesterday. Joined up and read by the right models, it guides the operator during the shift, shows the plant head where the losses are this week, and tells the commercial team what next quarter's inputs will cost.

  • Shop floor: live output, energy, quality and downtime signals, with less manual logging
  • Plant management: production planning, yield tracking and maintenance before breakdown
  • Commercial: raw-material and price projections, cost-to-serve and margin by order

02

Industrial equipment & engineering

Equipment distributors, service networks and engineering groups

Equipment businesses carry a large installed base, deep parts inventories and field teams spread across territories. AI connects machine, service and commercial data across that value chain, so parts are where they are needed, problems are seen before a breakdown, and every technician works with the knowledge of the best one.

  • Parts and service demand forecasting across branches and depots
  • Equipment health and uptime monitoring from machine and service records
  • Sales, rental and field-service productivity, with product knowledge on hand

03

Textiles & apparel

Mills, garment makers, traders and distributors

Input prices swing, fashion cycles shorten and competition arrives on every order. Most textile businesses already record what they need in billing systems, stock registers and order messages. Brought into one view, that record supports faster design, production matched to demand and quicker collection.

  • Design: virtual samples, print and colour options, and trend signals before a metre is cut
  • Make: stock, orders and job-work in one view, producing what sells at a known cost
  • Sell: wider catalogues, sharper pricing and receivables collected sooner

04

Trading, distribution & supply chain

Importers, exporters, distributors and logistics operators

Trading margins are made in purchasing, stock and paperwork. AI gives a trading business a live view of each of them, and removes the manual reconciliation between suppliers, warehouses, logistics partners and customers.

  • Stock, order and margin visibility across products, locations and counterparties
  • Price and demand projections to time purchasing and release working capital
  • Document automation for invoices, shipping papers and reconciliations

05

Financial services & investment firms

Regulated investment firms, family offices and advisers

Regulated firms hold exactly the information that should not be sent to a public AI service. We build private AI and research platforms that keep proprietary work inside the firm, and portfolio, deal-flow and monitoring systems for investment teams.

  • Private AI over deal rooms and research libraries, inside the firm's perimeter
  • Portfolio, deal-flow and investee monitoring platforms with automated reporting
  • AI use that meets regulatory, audit and client confidentiality requirements

06

Real estate & hospitality

Developers, brokers, asset managers and hotel operators

Property and hospitality businesses compete on pricing, response time and occupancy. AI brings market, enquiry and operating data together, so pricing follows demand, no enquiry goes cold and owners see the whole portfolio in one place.

  • Market and pricing intelligence across listings, transactions and occupancy
  • Lead qualification and guest assistance that respond in the customer's language
  • Portfolio, leasing, maintenance and operations dashboards for owners

Across every industry

The same five verticals, from first assessment to ongoing management

Explore our verticals

Talk to us about your operation

Tell us what you run, where the data sits and where the pressure is. We reply within one business day.