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AI processing

Classification at scale, measured.

AI applied to classification and extraction, with models selected on tested accuracy and cost per item.

Request a demoSee how it works

What changes.

The manual work it removes, and what you have instead.

Today

  • Manual product or record categorisation
  • Re-keying details from documents and emails
  • Inconsistent tagging across a team

With ai processing

  • Product and content categorisation
  • Data extraction from documents, PDFs and email
  • Data enrichment and cleansing
  • Accuracy and cost benchmarking before commitment

How it works.

Four steps, built around your process and your systems.

  1. Define

    The task, the categories and what an error costs, written down before any model is tested.

  2. Benchmark

    Candidate models tested on your real data, for accuracy and for cost per item.

  3. Integrate

    Results delivered into your systems, with access control and audit logging.

  4. Monitor

    Accuracy sampled continuously, and re-tested whenever a model changes.

Proven in practice.

From systems our founder designed and delivered in enterprise digital commerce.

Case study: AI categorisation3

3 AI model families benchmarked on accuracy and cost per item before one went live.

Read the case study

Every project, the same standard

Agreed scope, real-data testing, full documentation and your ownership on final payment.

Our approach

Questions.

Is our data used to train AI models?

AI workloads run on business API terms, under which your data is not used for model training by default. Data is processed only by services you approve.

How is a model chosen?

On measured accuracy against your real categories and on cost per item. The most capable model is not chosen automatically. Our guide on choosing an AI model sets out the method.

How long does it take?

Most builds are scoped at two to six weeks. Your written plan confirms the timeline.

All questions

Other solutions.

Integrations

Reliable connections between the platforms you already use, so information flows without manual re-entry.

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Reporting

Data collected, validated and assembled automatically, then delivered to the right people on schedule.

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Quality checks

Automated validation that tests every record against your rules and quarantines failures, with the reason recorded.

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Scheduling

Scheduling engines that allocate work against real capacity and re-plan automatically as conditions change.

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Internal tools

Applications that replace email chains and shared spreadsheets for the work your team repeats every day.

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Request a demo.

Every demo is built around your operations. Send a short brief. If we can deliver measurable value, we arrange a 20-minute session with the engineer who will lead your project.

Request a demoRequest a written assessment

Reply within one business day. Sessions scheduled to your time zone.