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Artificial intelligence, built into the work you already do

AI that reaches production

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Most AI work stalls between the demo and production

Most AI work stalls between the demo and production

The prototype works. Then it meets real data, real permissions and real users, and the project quietly stops. What is missing is rarely the model. It is everything around it: where the data comes from, who is allowed to see what, how the output reaches a system somebody already uses, and who owns it on the Monday after launch. That engineering is the part we do.


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We run AI products of our own

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We run AI products of our own

Asscher AI is our enterprise AI product. Coggo is a veterinary AI that turns a consultation into a clinical note. Both are used by people who are not us, which means the problems described on this page are ones we have had to solve rather than read about. When we tell you something will be harder than it looks, it is usually because it was.


Start from a decision, not a technology

Start from a decision, not a technology

The useful question is not where AI could be applied. It is which judgement in your business is made often, made from information that is late or incomplete, and has a consequence somebody can measure. Answer that and the technology follows, usually smaller than expected. Ask it the other way round and you get a platform nobody uses.


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Build or buy, answered honestly

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Build or buy, answered honestly

Not every problem needs something custom. Sometimes the right answer is a product you can buy this week, and sometimes the product everyone recommends cannot meet the constraint you actually have. We will tell you which, including when it means less work for us. Asscher AI exists because some problems are common enough to productise. The custom work exists because some are not.

What we build

The shapes AI usually takes in the work we deliver

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Document and archive search

Making decades of records searchable by what they are about, not only the words they contain. Archist does this for news archives....
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Domain-specific assistants

Assistants that know one job deeply. Coggo writes the veterinary clinical note from the consultation itself.
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Workflow automation

Routing, approvals and handoffs that run themselves, with a person kept in the loop wherever judgement is needed.
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Prediction and quality

Forecasting demand, catching defects earlier, noticing the drift before it turns into scrap.
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The data underneath

Most AI work turns out to be data work: pipelines, permissions, and a definition of each number that everyone agrees on.
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Guardrails and review

What the system may do on its own, what a person has to approve, and how you show afterwards what happened and why.
Where we have built it
Six industries, and the AI work each one actually needed.
Publishing and media

Archives made searchable, print pages turned into digital stories, and advertising workflows that stopped depending on email.

Manufacturing

The Industry 4.0 implementation at the Times of India print units, and the machine and quality data that came with it.

Veterinary

Coggo writes the clinical note from the consultation. Woovet and VETport run the practices around it.

Retail and restaurants

RestroOS across restaurant outlets, and a retail platform running stores and an online shop on one system.

KeyBenifits

How an engagement runs

We start from one decision worth improving, not a survey of everything AI could touch
Something working against real data in weeks, rather than a discovery phase that ends in a document
You are told plainly where your data sits and who can reach it
Every model has a defined behaviour for when it is wrong, because sometimes it will be
Handover includes the runbook, the monitoring and what to do when quality drifts
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