Services / Research through delivery

Build what the business needs next.

We bring AI research, product engineering, security and infrastructure into one delivery team. Start with a specific need; the work can grow from a focused integration to a complete platform.

01 / AI systems

AI systems & agents

Research and build agents that can reason over company knowledge, use business tools and hand over with context. We design the surrounding system as carefully as the model: identity, retrieval, action permissions, evaluation and recovery.

A support assistant may need to understand a question, inspect an order and prepare a change. We separate those privileges so a useful answer never silently becomes an unauthorised action.

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From knowledge to an authorised action.

  1. Retrieve the evidence.
  2. Choose a bounded tool.
  3. Check the proposed action.
  4. Keep a person in control.
Business scenario

An assistant for a complex product

A distributor has product sheets, compatibility rules and order history in different systems. A proposed assistant retrieves evidence, explains a recommendation and hands unusual requests to a specialist. The customer sees the source; staff retain control of commitments.

Business scenario

An internal research desk

A team needs to compare information across documents. An agent gathers permitted sources and drafts a structured brief, preserving citations and unresolved contradictions. Review happens before the brief informs a business decision.

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02 / Automation

Data & business integrations

We connect the systems you already use and automate data transfers and document processing. We define who handles failures, how operations can be safely retried and what records are kept for review.

The difficult cases determine the design: a supplier changes a format, an API times out after accepting a request, a document disagrees with an order. Those cases belong in the workflow from the beginning.

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The document arrives ready to review.

  1. A PDF invoice arrives in the shared inbox.
  2. Read the fields and find the purchase order.
  3. Put discrepancies beside their source.
  4. A reviewer approves the next step.
Business scenario

A purchasing review queue

An invoice is compared with its order and delivery record. Differences appear beside the original evidence. The proposed workflow records a reviewer’s decision, then sends one authorised update to the accounting system, with a stable reference for retries.

Business scenario

One customer history across systems

Sales and operations use different tools. An integration carries the agreed fields between them, records ownership of each field and routes conflicts to a named person instead of allowing competing updates to overwrite one another.

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03 / Platforms

Custom software platforms

Design and build the full product: the experience customers use, the tools your team needs and the services behind both. We connect product decisions to architecture, delivery and the cost of operating what we create.

We give permissions, payments, support and administration tools the same care as the pages customers see.

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An idea becomes something people can use.

  1. Begin with a real day in the business.
  2. Bring the repeated actions into the product.
  3. Give each person a clear view of their work.
  4. Put a useful first release into their hands.
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04 / Computer vision

Computer vision & applied ML

We build models that classify documents, detect defects or make predictions for a specific task. We check the data and likely failure cases, then define how the result will be used and who will review it.

A good result on a dataset is only a beginning. We plan for lighting changes, unfamiliar inputs, drift and the cost of a missed issue, using thresholds that fit the job.

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Direct a person's attention to what needs it.

  1. An image enters the inspection queue.
  2. Find the feature we agreed to look for.
  3. Keep the evidence beside the classification.
Business scenario

Inspection with evidence attached

A quality team receives images from different cameras. The proposed system locates suspect regions, keeps the original frame and routes uncertain images for review. Acceptance is measured separately for each defect category and operating condition.

Business scenario

A document classification pipeline

Incoming material is grouped by content and layout, with unfamiliar types held aside. Corrections are collected for a later evaluated release rather than silently teaching the live model from every click.

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05 / Direction & training

Technical direction & enablement

Work through a technical decision with the people responsible for its outcome. We research feasibility, design the first useful release and work alongside the team as the system enters everyday use.

We choose tools with your team, weighing maintenance costs and the manual work that remains. We explain each option’s advantages and limits so your team can make future decisions too.

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Leave the team able to carry the work.

  1. Bring a real task to the table.
  2. Practise an ordinary case, a mistake and a reason to stop.
  3. Let the team challenge the answer and improve the design.
  4. Rehearse the hand-off, then keep the learning close.
Delivered · Education

The Art of Programming

Python and AI taught to more than 100 people through projects they build themselves. The course, learning platform and student reviews show the teaching behind our approach to technical enablement.

Illustrative engagement

Training built from a team’s own workflow

An operations team brings recurring cases and difficult exceptions. We prepare exercises in its approved tools, compare the outputs with existing practice and turn the lessons into a short operating guide that changes with the system.

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Team training is part of delivery.

We prepare materials around your actual systems and work through them with your employees.

Our approach to forward-deployed engineeringFollow the delivery process