S-01
AI readiness and data foundation
A four-week diagnostic that ends in a costed sequence: where the data lives, which use cases pay back.
Deliverables
- Use-case scoring model
- Data and access map
- Costed 12-month sequence
Enterprise engineering
Engineering engagements, scoped to a production gate.
Every engagement ends in something operable — a costed sequence, a monitored system, an evaluation harness you keep.
Eight engagements
Pick the one that matches where you are stuck.
S-02
Production retrieval and knowledge systems
Retrieval that survives real corpora: hybrid search, structure-aware chunking, permissions, citations.
Deliverables
- Ingestion and refresh pipelines
- Eval set and quality gates
- Latency and cost budget
S-03
Workflow and back-office automation
Document-heavy processes end to end — intake, extraction, validation, exceptions, write-back.
Deliverables
- Process instrumentation
- Exception console
- Straight-through-rate reporting
S-04
Evaluation, guardrails and observability
Golden datasets and adversarial suites before go-live; drift, cost and evidence trails after.
Deliverables
- Golden datasets
- Guardrail policy
- Monitoring and alerting
S-05
Edge and on-premise AI with Xelec hardware
When data cannot leave site: distillation, quantisation, board selection, fleet management.
Deliverables
- Distilled model package
- Hardware reference design
- Fleet update path
S-06
AI governance and EU AI Act readiness
Risk classification, technical documentation, human oversight and logging for the systems you run.
Deliverables
- Risk classification register
- Technical documentation pack
- Oversight and logging design
S-07
Presales demo builds
A narrow, believable working demo your sales team can run live — seeded data, guardrails, no half-finished platform.
Deliverables
- Demo narrative and flow
- Hosted demo environment
- One-click reset and seed data
S-08
Inference cost reduction
Cut Claude and GPT spend by routing, caching and distilling — measured against your own traffic, not a benchmark.
Deliverables
- Cost and quality baseline
- Routing and caching policy
- Distilled model where it pays back
Also available
Hardware engineering from Xelec.
IoT systems, embedded prototyping, firmware and electronics product development — with or without AI.
Mapping
The problem you described, and the engagement that answers it.
| Symptom | What we do about it |
|---|---|
P-01 The pilot graveyard | Paid pilots with a written production gate — pass and we ship, fail and you keep the findings. |
P-02 The data is trapped in documents | Document intelligence and a data foundation built before any model work starts. |
P-03 Compliance is the real blocker | EU and US residency, model-choice control, DPIA-ready documentation, audit trails from day one. |
P-04 Nobody can prove it is right | Evaluation sets, citation-grounded answers, guardrails and drift monitoring, shipped with the system. |
P-05 Vendor sprawl and drifting spend | Model-agnostic architecture, cost telemetry per workflow, a path to smaller in-house models. |
P-06 Cloud-only AI cannot reach the floor | On-device inference on Xelec hardware — the capability most AI vendors do not have. |
How we contract
Four ways to work with us.
Discovery credits against a pilot. Pilots are fixed fee.
Discovery sprint
Length: 2 weeks
Commercials: Fixed fee
Use-case scoring, data reality check, costed sequence. Credited against a pilot.
You have candidate use cases and no agreed sequence.
Paid pilot
Length: 4–8 weeks
Commercials: Fixed scope, fixed fee
One use case to a written production gate, with the evaluation harness you keep.
You need proof that survives an operations review.
Build partnership
Length: Quarterly
Commercials: Embedded team
A senior team against a roadmap: production systems, runbooks, capability transfer.
You are building an AI portfolio, not one feature.
Managed operation
Length: Annual
Commercials: SLA-based
We run what we built — drift, cost, guardrails, upgrades — against an agreed SLA.
You want the system owned, not just delivered.
4–8 wks
Typical paid pilot
Fixed fee
No open-ended scope
You own it
Work product and models
Next step
Tell us where the programme is stuck.
We will tell you which engagement fits, or that we are the wrong partner.