How long until something is live?

The diagnostic takes two weeks. In an Embed, the median time from kickoff to first system in production is eight weeks. The full window is twelve.

Do we need our own technical team?

No. Our people build alongside whoever you have, and training your team is part of the engagement. Before we leave, your people run the system and the documentation answers the questions we used to.

What do you actually build?

Demand forecasts, risk scores, and anomaly flags built on the ERP history you already own, plus document agents that answer from your contracts, claims, and tickets with an audit trail. All of it wired into the screens your team already uses.

What if a model can't beat the incumbent spreadsheet?

We say so and stop. It happens. The diagnostic exists so most of those cases never reach a build.

You do. We work in your codebase, on your infrastructure, under your names. When we leave, everything stays.

High-voltage transmission towers in open country at dusk

Gatsby: We embed in your organisation and deploy the systems that move real operating numbers.

Forward-deployed implementation, end to end: we redesign the systems around the work, drive AI adoption on the ground, and ship into production.

How we work

What we build inside your walls.

See how the engagement runs

Applied AI, shipped to production

Frontier models engineered into the tools your team already uses, running against live operating data. No pilots that never leave the sandbox: the first system lands in production inside the engagement window.

Sales optimisation at scale

The funnel instrumented end to end. Every account scored, every rep working from the next best action, technology carrying the volume your headcount can't.

Predictive sales analytics

We refine how the data gets collected in the first place, so the pipeline history you already own starts forecasting the next quarter instead of describing the last one.

Decision intelligence for operations

Demand forecasts, pricing signals, and risk scores wired into the planning and dispatch screens where the decisions actually get made.

Document and workflow agents

Agents that read your contracts, claims, and tickets, do the handling work, and leave an audit trail your compliance team can follow.

Data foundations

ERP and CRM history cleaned, joined, and structured until it can carry models, not just reports.

A four phased approach allows us to maximise leverage.

Every engagement starts with the diagnostic: we spend time inside the operation, surfacing the problems where your history and your floor's knowledge give you an advantage nobody can copy. What follows depends on what it finds, and each phase is scoped before it begins to execute the most valuable opportunities.

01
Diagnostic
Leaves a ranked build plan
02
Embed
Leaves a system in production
03
Build
Leaves the deeper infrastructure
04
Sustain
Keeps it improving · optional

We build on the frontier labs' models and the clouds you already run, and engineer the systems that make them work on a plant floor.

Every operation is different, so every build is scoped from the diagnostic. Each case is listed with the outcome it produced, the industry it landed in, and the system behind it. Client names are under NDA; references come with the diagnostic.

DistributionIn production

Override rate 22% and falling by week four

Nine years of ERP history, turned into demand forecasts, risk scores, and anomaly flags on the dispatch screens the planners already used.

ManufacturingWorked scenario

A three-day, four-person question, answered in minutes

An agent that reads the contracts, service levels, and open orders you already have, shows its working as auditable tool calls, and cites the clause behind every claim.

InsuranceWorked scenario

The underwriting queue stops being first-in, first-out

Scoring models trained on years of claims history, with the score inside the underwriting queue next to the submission and the drivers spelled out.

All the work, in full

What operators ask before they call.

How long until something is live?: The diagnostic takes two weeks. In an Embed, the median time from kickoff to first system in production is eight weeks. The full window is twelve.
Do we need our own technical team?: No. Our people build alongside whoever you have, and training your team is part of the engagement. Before we leave, your people run the system and the documentation answers the questions we used to.
What do you actually build?: Demand forecasts, risk scores, and anomaly flags built on the ERP history you already own, plus document agents that answer from your contracts, claims, and tickets with an audit trail. All of it wired into the screens your team already uses.
What if a model can't beat the incumbent spreadsheet?: We say so and stop. It happens. The diagnostic exists so most of those cases never reach a build.
Who owns the result?: You do. We work in your codebase, on your infrastructure, under your names. When we leave, everything stays.

Tell us what's slow.

One email to start. Bring the process that annoys you most, and we'll tell you whether it's a data problem, a software problem, or not worth solving.