We build machine-learning tools sized for teams of 10 to 500. Tell us the bottleneck; we ship a working prototype in four weeks.
Every project starts with a question: what decision are you making today that data could make better? Here are the four areas where we see the fastest payoff.
We train models on your historical sales, inventory or maintenance logs and deliver forecasts you can query through a simple dashboard. Most clients see a 15–22% improvement in forecast accuracy within the first quarter after deployment.
Invoices, contracts, compliance forms: our extraction pipeline reads them, pulls the fields you care about and pushes structured data into your ERP. A typical integration handles around 3,000 pages per hour with under 2% error rate.
We design chatbots and voice assistants grounded in your product catalogue and support history. They answer in your brand's tone, escalate when confidence drops below a threshold you set, and log every interaction for review.
Raw model output is useless if no one looks at it. We pair every AI module with a live dashboard tailored to the people who act on the numbers, whether that is a warehouse supervisor or a finance director.
We keep the process short and transparent. No six-month discovery phase, no 80-page requirements document.
A 45-minute video call where we map your data sources, define the metric you want to move, and agree on what "good enough" looks like. This call is free.
We spend one to two weeks examining your data quality, gaps and volume. You receive a written report with a go/no-go recommendation. If the data is not ready, we tell you plainly.
Within four weeks of the audit sign-off, you get a working prototype connected to a sample of your live data. We iterate on feedback in weekly sprints until the output meets the agreed accuracy target.
Once approved, we deploy to your cloud environment or ours. Every contract includes 90 days of monitoring and bug-fixing at no extra charge. After that, ongoing support plans start at £400 per month.
"We asked them to reduce the time our accounts team spends matching invoices. The tool they delivered cut that task from twelve hours a week to under two."
Finance manager, Kelvin Logistics
"Their chatbot handles about 60% of our inbound support tickets without any human involvement. Response times dropped from four hours to under a minute for those queries."
Head of customer success, Bridgepoint SaaS
"I appreciated that they told us our initial idea was not feasible with the data we had. They proposed a simpler model that still saved us roughly £90k a year in waste."
Operations director, GreenPack Manufacturing
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