Kortical
London, United Kingdom
About
Kortical is a London machine-learning consultancy delivering models end to end on its own AI platform, working across document automation, forecasting and predictive maintenance.
Who They Work With
Enterprises with a defined prediction or document-automation problem that want a model in production in weeks.
Based on 8 client engagements with a source URL · researched 7 Sept 2026
Our Take
Kortical sells both a platform and the people to use it, and the cases show both. The Deloitte tax engagement is the clearest: a six-month build that took a tax computation from five hours to six minutes at above 90% accuracy, with a Deloitte partner quoted by name.
NHS Blood and Transplant is the deepest—platelet supply and demand modeled across 40 blood products and 15 distribution hubs, reported at a 54% reduction in expired platelets and the elimination of ad hoc inter-hub transport—and it followed an earlier NHSBT project on kidney-donation waiting times.
The BT and MBNL predictive-maintenance work is labeled a pilot rather than a deployment, catching 52% of tower failures in advance from a six-week build; the distinction is theirs, and it is worth crediting.
Registered headcount is 2-9 against site copy describing a consulting team at scale, so establish who actually delivers before the license and the consulting hours are quoted together.
Key strengths
- Deloitte tax automation is quantified and attributed: five hours to six minutes, above 90% accuracy, quoted by a named Deloitte partner
- The NHS Blood and Transplant work spans 40 blood products across 15 hubs at a 54% reduction in expiries, and is a repeat engagement
- The case studies distinguish pilot from production—the BT and MBNL work is labeled a pilot rather than presented as deployed
Good to know
- Registry headcount is 2-9 while the site describes a consulting team at scale—ask how many people would staff your project
- The company LinkedIn link points at a personal profile and no team page is published—ask for the delivery team's names
- Platform and services are sold together—ask what the license costs after the engagement ends and whether the models run without it
Reviewed by Gabor Kiss
Founder & Curator, AIAgencies.eu · 7 Sept 2026
Based on the agency's publicly available portfolio. Own this agency? Claim your profile to provide additional context or request a review update.
Notable Clients
Every engagement documented in a published case study
Documented engagements: Deloitte, NHS Blood and Transplant, BT, MBNL, The Edit LDN, Publicis Sapient, Reed, and Ford. All 8 carry a source URL on file.
Industries
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