The AI Experimentby Xelec

Product studio

Products hardened by our own delivery work.

Each one started as something we had to build to get a client engagement into production.

Enterprise AI assistant · Available

Xelec Assist

Staff cannot find the answer that already exists inside your systems.

A grounded assistant over your documents, tickets and business systems. Every answer cites its source.

  • Answer-level citations and confidence
  • Row and document-level permission inheritance
  • SSO, audit log export, retention controls
  • Deployable in EU or US regions

Representative outcome

31%
fewer internal support tickets

Illustrative figure from an anonymised deployment. Yours is measured during the pilot.

Deployment options

  • EU region
  • US region
  • Your cloud tenancy
  • Private model hosting (Next)

OCR and document intelligence · Available

Xelec Extract

Back-office teams retype what a machine should read.

Structure-aware extraction for invoices, claims, IDs and contracts — scans and handwriting included.

  • Field-level confidence with human review
  • Table, stamp, signature and checkbox understanding
  • Schema mapping into ERP and claims systems
  • On-prem deployment for regulated data

Representative outcome

94%
field-level extraction accuracy

Illustrative figure from an anonymised deployment. Yours is measured during the pilot.

Diagram of document regions and field bounding boxes detected during structure-aware extraction

AI-optimized sales CRM · Available

Xelec Revenue

Sellers spend a third of the week maintaining the CRM.

A CRM that maintains its own records: calls summarised, accounts enriched, next action ranked.

  • Automatic activity capture from mail and calls
  • Deal-risk scoring with reasons, not a number
  • Territory and quota views for US and EMEA
  • Two-way sync with your existing CRM

Representative outcome

6.4 hrs
returned per seller per week

Illustrative figure from an anonymised deployment. Yours is measured during the pilot.

Deployment options

  • EU region
  • US region
  • Your cloud tenancy
  • Private model hosting (Next)

Evaluation and guardrails · Beta

Xelec Eval

You cannot ship what you cannot measure.

Our own delivery harness, productised: golden datasets, regression gates, drift monitoring.

  • Regression gates in CI for prompts and models
  • Hallucination, toxicity and PII detectors
  • Per-workflow cost and latency telemetry
  • EU AI Act documentation export

Representative outcome

0 silent
regressions since adoption

Illustrative figure from an anonymised deployment. Yours is measured during the pilot.

Deployment options

  • EU region
  • US region
  • Your cloud tenancy
  • Private model hosting (Next)

On-device inference runtime · Early access

Xelec Edge

The workload sits where the network does not.

Distilled models running on Xelec-designed boards. Vision, speech and capture with no data leaving site.

  • Distillation from your production traces
  • NVIDIA Jetson Orin Nano and Xelec board bring-up
  • Offline-first with store-and-forward sync
  • Fleet OTA updates and remote diagnostics

Representative outcome

38 ms
median on-device inference

Illustrative figure from an anonymised deployment. Yours is measured during the pilot.

Deployment options

  • EU region
  • US region
  • On-device, offline-first
  • Fully on-premise

Inference cost optimiser · Beta

Xelec Signal

Your frontier-model bill grows faster than the value it returns.

Every request goes to the cheapest model that still clears your quality bar — with caching, prompt compression and small-model fallbacks.

  • Quality-gated routing across Claude, GPT and open models
  • Semantic cache and prompt compression
  • Regression gates shared with Xelec Eval
  • Per-workflow cost, latency and quality telemetry

Representative outcome

60%+
target reduction in API spend

Illustrative figure from an anonymised deployment. Yours is measured during the pilot.

Deployment options

  • EU region
  • US region
  • Your cloud tenancy
  • Private model hosting (Next)

Industry-specific small language models · Available

Xelec Forge

A general-purpose model is paying rent on knowledge you never use.

We distil large models into compact, domain-tuned ones that beat the generalist on your one job — cheaper, faster, yours to host.

  • Trace and dataset curation from your own work
  • Distillation, fine-tuning and quantisation pipeline
  • Benchmark pack against the frontier baseline
  • Deploy in your region, on-prem or on the edge

Representative outcome

8×
cheaper per task than the frontier baseline

Illustrative figure from an anonymised deployment. Yours is measured during the pilot.

Deployment options

  • EU region
  • US region
  • Your cloud tenancy
  • Private model hosting (Next)

Next step

See one of these running against your data.

Bring a real sample — a messy invoice batch, a policy corpus. Demos on clean data prove nothing.