Builds

Work that runs.

Four systems we designed, trained and put to work. Each written up the same way: the problem, the build, how it runs.

01

Catalyst

Sales and marketingLive

Fig. 01

A sales team made of tuned small models.

Problem
Our services solve different problems for every company, and often for every team inside it. Reaching the right person meant researching the account, the teams and what each one stood to gain. Generic AI writers only changed the first name.
Build
A chain of fine tuned small language models, each trained for one job. Together they research the account, map the problems we solve for each team, put a number on what those problems cost, and run the conversation in phases until there is a decision.
  1. 01

    Research

    The company, its teams, how it actually operates.

  2. 02

    Map

    Which problems we solve, and for whom.

  3. 03

    Cost

    Cashflow gained or burn avoided, in their numbers.

  4. 04

    Converse

    Replies, objections and follow ups, in context.

  5. 05

    Act

    Book the meeting, hand over, or step away.

Models
Fine tuned SLMs, one per task
Actions
Meetings, handoffs, objections, removals
Runs on
Your infrastructure, no per token bills
Available
Custom builds for each industry
02

Predictive Maintenance

Industrial motors and machinesDeployed

Fig. 02

Every machine announces its failure. Long before it stops.

Problem
Unplanned downtime is the most expensive way to learn a bearing was worn. Calendar maintenance replaces parts that had years left and misses the ones that did not.
Build
Deep learning models trained on vibration, motor current, temperature and acoustic signals from each asset. They learn what normal looks like for that machine at every load, flag the drift, name the likely fault and estimate the remaining useful life.
  1. 01

    Sense

    Vibration, current, temperature and sound at the bearings.

  2. 02

    Learn

    A baseline for every asset, at every load.

  3. 03

    Detect

    Drift from normal, well before an alarm would trip.

  4. 04

    Diagnose

    Bearing, imbalance, misalignment, looseness, winding.

  5. 05

    Plan

    Remaining useful life, inside the next maintenance window.

Signals
Vibration, current, thermal, acoustic
Output
Fault class and remaining useful life
Runs on
Edge nodes beside the machine
Connects to
Your CMMS, as work orders
03

Weld Defect Analysis

Non destructive testingDeployed

Fig. 03

Every weld read like your best inspector reads it. Every time.

Problem
Ultrasonic, magnetic particle and radiographic data is still read by hand, one scan at a time. Calls vary between inspectors and shifts, and the backlog holds production at the gate.
Build
Deep learning models trained across UT, MT and RT data. They locate each indication, classify the defect, size it and check it against your acceptance criteria, then hand the inspector a ranked queue to confirm.
  1. 01

    Ingest

    Phased array scans, MT images, films and digital radiographs.

  2. 02

    Locate

    Every indication found and outlined.

  3. 03

    Classify

    Porosity, slag, lack of fusion, cracks, undercut.

  4. 04

    Size

    Length and depth, judged against your criteria.

  5. 05

    Review

    The inspector signs off. The model learns from it.

Modalities
UT, MT and RT in one model family
Output
Location, class, size, verdict
Sign off
A qualified inspector, on every call
Runs on
Your network. Scans never leave site
04

Operations Audit

Logistics and manufacturingPartnering

Fig. 04

We find where the operation bleeds. Then we stay and fix it.

Problem
Margin leaks through a hundred small places: an idle machine, a half empty truck, a system nobody trusts, a step done twice. Reports name them. Few teams have the hands to close them.
Build
An end to end audit of hardware, operations and software, run on the floor with your people. We cost every bottleneck, design the fix and deploy it ourselves, with AI, operations research, supply chain optimisation and network design where they pay back.
  1. 01

    Walk

    Every line, dock, lane and system, on site.

  2. 02

    Measure

    What each bottleneck and bleed costs per year.

  3. 03

    Design

    Hardware, process and software fixes, ranked by return.

  4. 04

    Deploy

    Our consultants, working inside your organisation.

  5. 05

    Hand over

    Running systems and a team that owns them.

Scope
Hardware, operations, software
Methods
AI, operations research, network design
Delivery
Our consultants, on your site
Terms
A partnership, not a report

Your problem could be build 05.

Bring us the process that costs you most. We scope it, build it and stay until it runs.