AI consulting for ambitious businesses

Production AI that grows your revenue in weeks, not quarters.

We come in, diagnose where AI can actually move your revenue and your speed-to-market, then ship the solution end to end. Two weeks to a plan. Six to a working system.

A small senior team. Cloud and ML certifications from AWS, Google, and Microsoft. Production systems shipped from MVPs to platforms serving 100,000+ users.

  • AWS Certified
  • Google Cloud
  • Microsoft Azure
  • Databricks
  • CertifHub

Engagements

Four ways to work with us.

Fixed scope, fixed timeline, fixed price. Pick the smallest one that gets you to the answer.

2 weeks

AI Audit

From €9,000

A diagnostic of your business, your data, and three to five concrete ways AI can grow your revenue or cut your time-to-market. Ranked, costed, ready to act on.

  • Business & data review
  • Revenue-focused use-case shortlist
  • Six-week production plan
Request a call →

2–3 weeks

Automated Content Engine

From €5,000

An end-to-end blog that publishes itself. SEO-optimised long-form articles in your voice, on your domain. Same engine that powers blog.certifhub.com.

  • Programmatic generation
  • SEO & analytics built in
  • Hosted on your domain
Request a call →

3–6 months

AI Transformation

On request

Embedded engagement to scale AI across the business: multiple use cases, platform foundations, and the internal capability to keep shipping after we leave.

  • Roadmap across the business
  • Platform and MLOps foundations
  • Internal team enablement
Request a call →

Approach

We diagnose. We ship. Your revenue grows.

A repeatable process, not bespoke consulting wrapped in a slide template.

  1. 01

    Diagnostic

    Two weeks. We map your business, your data, and where AI can actually move revenue or speed-to-market. You leave with a written audit and a costed plan.

  2. 02

    Sprint

    Four to six weeks. One use case, shipped to production. Cloud-native, observable, documented, and handed over to your team at the end.

  3. 03

    Scale

    Three to six months. We embed alongside your team to roll out additional use cases and build the platform foundations that make the next ten easier than the first.

Case studies

Real solutions, shipped to production.

Most of our work is under NDA. Here are the domains and the outcomes. One named case at the top.

CertifHub homepage preview DataRoses solution

Online learning · Certification prep

CertifHub. 145,000+ questions in production.

Built from scratch with DataRoses. We designed the data architecture, built the LLM-powered question pipeline, shipped the platform end-to-end, and the automated SEO blog at blog.certifhub.com on top.

Questions live
145K+
Certifications
255+
Dev to launch
7 months
Visit CertifHub →
Confidential

Cleaning services

Full digital stack for a cleaning company

Replaced five disjointed tools with one platform: lead capture, automated quote generation, invoicing, e-signature, customer back-office, and the public site, all running under one roof.

Revenue impact
×12
Tools replaced
5 → 1
Confidential

Legal services · Law firm

Custom booking system for a law practice

Multi-format consultation booking (in-office, phone, written) with tiered pricing, deposits, document upload, and automated follow-up. Replaced manual phone scheduling end to end.

Consultation formats
3, automated
Scheduling
24/7
Confidential

Fashion wholesale · Paris

B2B + B2C platform for a fashion wholesaler

One e-commerce platform serving two audiences: B2B wholesale orders with tiered pricing, credit terms, and bulk checkout, plus a standard B2C storefront. A single back office for both.

Audiences
B2B + B2C
Back office
Unified

Why DataRoses

Built for teams that need this to work in production.

  • Production-grade

    We don’t hand over notebooks. Every engagement ships code with tests, CI, observability, and a runbook your team can operate without us.

  • Fast

    Two weeks to a diagnostic. Six weeks to the first production system. We treat your timeline as the constraint, not a polite suggestion.

  • Cloud-native

    AWS, Google Cloud, and Azure. Modern data and ML tooling. We build on what you already pay for, and we don’t lock you into bespoke stacks.

Frequently asked

Questions buyers actually ask.

How is DataRoses different from a big-five consultancy?

We ship production systems, not slide decks. A DataRoses audit takes two weeks instead of two months, and our sprint engagements deliver working software inside six weeks. We work in small senior teams without the layers of analysts and partners that drive consultancy bills.

Do we need clean data before you can help?

No. Almost every engagement starts with messy data. The audit identifies what is usable, what needs work, and what can be ignored for the first production use case. We design for the data you have today, not the data you wish you had.

What does the audit actually deliver?

A written diagnostic of your data and AI readiness, a shortlist of three to five concrete use cases ranked by impact and feasibility, and a costed roadmap to ship the first one in production within six weeks. You own the document and can act on it with us or with anyone else.

Can you work alongside our internal data team?

Yes. Most of our engagements run alongside internal teams. We document everything we build, pair on architecture decisions, and hand over operational ownership at the end of the sprint. Your team should be able to extend our work without us.

Where are you based and what timezones do you work in?

DataRoses Ltd is a UK company based in London. We operate across Europe in English and French, and align with client business hours for workshops and reviews.

Request a twenty-minute call.

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