Bring us one job

The work, up close.

Real agent runs, the workflows behind them and where people stay in charge. We keep our clients’ names private.

Hours of re-keying. Now minutes of review.

A UK valve supplier · Operations

The ask
Engineers spent hours per datasheet copying 50+ fields out of PDFs before they could quote.
What we built
A document agent that reads varied manufacturer layouts, handles nested fields and works through whole batches, then feeds the quote.
Who’s in control
It flags the fields it’s unsure of, so engineers check a handful rather than all of them.
The result
About 6 minutes per datasheet, down from hours. 97.3% field accuracy across 120 test documents.
Task 381
954 fields extracted. 49 held back for an engineer.

A live run, caught mid-job: the agent spots its own failed correction and retries it.

  1. Starting valve specification analysis
  2. Now that I have your approval, I will start the detailed extraction of all technical specifications from the documents.
  3. Detailed specifications extracted
  4. Now that I’ve processed your documents, I’ll double-check to see if any parts are missing their corresponding datasheets.
  5. Missing datasheet links resolved
  6. Validating your field correction
  7. Field correction validation failed: missing required field
  8. Scheduling retry #1
Parts
61
Fields
954
Need review
49
#Data sheetTagTypeSub-typeSize
1 70%BV-210 No datasheet10-XV-101ABall valve–10" × 8"
2 70%BV-210 No datasheet10-XV-101BBall valve–10" × 8"
3 70%BV-210 No datasheet10-XV-104ABall valve–12" × 10"
4 70%BV-210 No datasheet10-XV-104BBall valve–12" × 10"
5 70%BV-340 No datasheet10-XV-112Ball valveTrunnion mounted8" × 6"
6 70%BV-340 No datasheet10-XV-230Ball valveTrunnion mounted10" × 8"
7 70%BV-210 No datasheet10-ESDV-305Ball valve–10" × 8"
and 54 more parts
Task 381, replayed from the live system’s log. Amber marks what the agent flagged for a person to check. Datasheet codes and tags have been replaced to protect the client.

“We used to dread spec sheets. Now the system handles it in minutes.”

Senior engineer, a UK valve supplier

Expertise, built into the product.

Product capabilities

The ask
Engineers on site need expert technical guidance during the job, without waiting for a callback.
What we built
Sam, a voice agent on a heating technical line. It takes the call, asks the right questions and talks the engineer through the fault.
Who’s in control
The qualified engineer on site stays responsible for the diagnosis and the work.

An investment analyst inside a property platform.

Customers of a property investment platform get a full investment case for any property, then ask the analyst follow-up questions in the product.

  1. AssessThe property and its market.
  2. Build the caseFlip and rental yield, side by side.
  3. AnswerFollow-up questions, in the product.

More agents at work.

Support that reaches into the code, inspection from a photo, and a team of agents coordinating a whole operation.

It finds the bug. It drafts the fix.

For a logistics platform, a support agent checks past tickets, live shipment records and the source code, finds the cause and drafts the patch. An engineer reviews every fix before it ships.

Every ticket

  1. A support ticket comes in, day or night.

  2. The agent searches the knowledge base and past tickets.

  3. It checks the live shipment records.

  4. It reads the source code to find the cause.

  5. It writes the patch and explains it.

  6. An engineer reviews and approves.

The path every ticket takes through the agent.

Rack damage, spotted from one photo.

For a warehouse racking specialist, vision agents audit a rack from a single photograph.

  • Upright 3, level 1 Impact damage. Inspect before loading.
  • Beam locks All present.
Sample image

A team of agents. You’re in charge.

In build. Six agents cover routes, customers, demand and commercial operations for a logistics operator. The team decides which agents can act, suggest or stay off.

In build · Example handoffs

  • Tom

    Routes

    Suggest a route adjustment when traffic changes the collection schedule.

    Team set: actTask overview

  • Sophie

    Commercial

    Review the change in trade demand before adjusting the commercial plan.

    Team set: actTask overview

  • Alex

    Customer service

    Answer routine collection questions; pass exceptions to the customer service team.

    Team set: suggestTask overview

  • Priya

    Demand

    Flag weather-related demand changes for operations to review.

    Team set: actTask overview

  • Marcus

    Operations

    Check stock and vehicle capacity against the demand forecast.

    Team set: actTask overview

  • Zara

    Revenue

    Compare promotion performance and suggest the next test.

    Team set: actTask overview

Example handoffs from the system we’re building, with client details removed.

Beyond AI: a complete product, field to cloud.

For a housing developer, native iOS and Android apps capture sites room by room with 360° cameras, work offline and feed a cloud pipeline that turns the imagery into 3D models. The same team builds our AI work.

What job could AI help with?

Pick the one that sounds familiar. You don’t need to arrive with an AI solution in mind.

For your customers

Customers need technical guidance while they work, without waiting for someone to pick up.

What we built for a heating technical lineSam, a voice agent that takes calls from gas engineers on site and talks them through the fault.

From a real call

EngineerI’m getting a resistance of about 7,000 ohms across it.

Sam (AI)That’s quite a bit lower than expected for room temp. That would suggest the sensor’s reading hotter than it actually is…

Hear an AI agent respond to a qualified engineer’s technical questions.

Hear the call

For your team