What Kortical does

Kortical is a London-based AI platform company founded in 2016 that operates the Kortical AI Cloud, an enterprise platform combining AutoML, ML Ops, and patented agentic AI capabilities. The platform serves customers across financial services, healthcare, automotive, recruitment, telecommunications, aviation, retail, and government — including Santander, Reed, Ford, BT, NHS, Deloitte, Publicis Sapient, Charlotte Tilbury, and HS2 — by deploying AI agents that perform real actions (not just chat suggestions) against back-office systems. Core technology components include distributed cloud-scale AutoML capable of 50,000+ model iterations per week, automated data cleaning and feature engineering, model explainability, one-click deployment, and a patented agentic architecture featuring intent reduction, multi-agent graphs with memory, an LLM + Expert Systems hybrid, and per-node process verification. The AI Agent Framework has processed 2M+ messages in production with zero brand incidents, and Kortical claims a 100% pilot-to-production conversion rate versus an MIT-reported industry average of 5% for GenAI pilots.

The business operates a hybrid revenue model comprising tiered SaaS subscriptions to the AI Cloud platform (monthly or annual billing with defined usage limits and overage fees), usage-based pay-as-you-go pricing for KorticalChat (the RAG-based chatbot product launched in 2024), and optional AI consulting services delivered by lean teams (typically one Data Scientist and one Domain Expert) for clients lacking internal AI expertise. Distribution combines enterprise field sales with named-account case-study conversion, self-serve PLG via free trials for both the platform and KorticalChat, joint webinars with marquee customers, and inside sales handling inbound demo requests. The company holds ISO 27001 certification, GDPR-compliant EU-hosted infrastructure, Carbon Neutral status (FY Oct 2023), and an optional on-premise Azure deployment path for regulated workloads. Kortical is a privately held UK limited company (Kortical Limited), with no disclosed institutional funding rounds, M&A activity, or parent company; Andrew Gray serves as CEO and Alex Allan as Chief Data Scientist and Co-Founder/CTO.

Name

Kortical

Legal name

Kortical Limited

Website

https://kortical.com

Company type

Private

Founded year

2016

Operating status

Operating

Headcount range

11–50 employees

Short description

Kortical is a London-based AI platform company offering an enterprise AI Cloud combining AutoML, ML Ops, and patented agentic AI. It serves financial services, healthcare, automotive, recruitment, telecoms, and government clients with AI agents that automate real workflows, supplemented by consulting services.

Ownership category

akta.pro rank

Product category

Enterprise AI Platform

NAICS

Software Publishers (5132), Custom Computer Programming Services (541511), Computer Systems Design and Related Services (54151)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

End-to-End Enterprise AI Platforms (MLOps & Model Lifecycle Management) (HDAEANAA)

akta.pro secondary industries

End-to-End MLOps & ML Platform Suites (HDAAABAA), AutoML & Low-Code ML Platform Operations (HDAAABAL), AI/ML Solution Integration & MLOps Enablement (BPAEAAAJ)

Keywords

• Automated machine learning
• Enterprise AI agents
• ML operations platform
• AI consulting services
• Predictive analytics software

Headquarters

HQ city

London

HQ country

United Kingdom

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

1. AI Platform SaaS Subscription: Subscription-based access to the Kortical AI Cloud platform providing AutoML, ML Ops, and AI agent capabilities. Customers pay subscription fees for the Subscription Level they purchase, which defines the extent of services and includes usage restrictions (number of message credits, bot identities, Customer Platforms, embeddings, and support level). Billed monthly or annually with automatic renewal. Overage fees apply if usage exceeds the subscribed tier.
2. Usage-Based (Pay-as-you-go): KorticalChat operates on a pay-as-you-go model in addition to subscription tiers. Customers can use message credits as needed. Usage automatically increases with overage fees if credit limits are exceeded. Provides flexibility for customers with variable usage patterns.
3. AI Consulting Services: Optional consulting services for companies that have data and need but lack internal AI expertise. Kortical helps companies strategise and deliver AI/ML solutions, specialising in getting companies from data and desire to a self-sufficient team repeatedly delivering business value. Consulting engagements are structured around lean delivery teams (e.g., 1 Data Scientist, 1 Domain Expert).
4. Enterprise Custom Development: Custom development work delivered through the AI platform and consulting engagements, including bespoke model building, feature engineering, and ML app deployment for specific enterprise use cases. Revenue recognised through project-based consulting and platform fees.

Pricing tiers

Go-to-market motion4 records

Distribution channels4 records

Marketing channels6 records

Core offering

Kortical operates an AI Cloud platform combining AutoML, MLOps, and patented agentic AI capabilities for enterprise customers. The platform enables data scientists to build, deploy, and scale ML models and AI agents via no-code UI or Python/R SDKs. Alongside the platform, Kortical delivers AI consulting services and standalone products such as Kortical Chat (RAG-based chatbot) and AI Video Personalisation.

Product overview

Kortical is an award-winning UK-based AI platform company offering a unified AI cloud platform with multiple integrated products and modules. The core offering is the AI Platform/AI Cloud, which provides AutoML capabilities (50k+ model iterations per week), exploratory data analysis, model explainability, and one-click deployment. Built on this platform are AI Agents (enterprise AI agents using patented agentic AI technology), Kortical Chat (RAG-based chatbot platform), and MLOps modules. The company also offers AI Consulting services and specialized products like AI Video Personalisation. The platform supports both UI-based no-code and code-based (Python/R SDK) approaches, enabling data scientists to build and deploy superhuman-performing ML solutions from raw data to production in weeks rather than months.

Differentiator

Problem solved

Functional benefit

Brands

• K-Chat: AI chatbot platform product brand operated by Kortical
• Kortical Chat
• Kortical AI Cloud
• Kortical AI Platform

Products and services

• AI Cloud Platform Cloud-based AutoML and MLOps platform enabling data scientists to build, deploy, and scale ML models. Supports binary/multi-class classification, regression, time series, NLP, and recommendation use cases. Features include assisted data prep, 50k+ model iterations per week, model explainability, and one-click deployment via UI or Python/R SDKs with no vendor lock-in.
• AI Agents

Quantifiable outcome

• 80% role automation achieved in financial services workflows
• +12 more outcomes

Named customers19 records

Segments9 records

Ideal customer profiles5 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration9 records

AI capability11 records

Feature11 records

Partnerships

One partnership is on record.

• IDE (Innovation Doctorate & Enterprise)minorStrategic or Co-development PartnerIDE (Innovation Doctorate & Enterprise) provided the research grant for the Ford predictive maintenance project (WaveAI project). IDE is an innovation and enterprise organisation that funds and supports collaborative AI research projects between academia and industry. Kortical and Ford collaborated with IDE on this research initiative, with IDE providing grant funding for the predictive maintenance study.

Scale indicators12 records

Recent moves6 records

Expansion highlights6 records

Broad incumbents

• AWS SageMaker: AWS SageMaker is the hyperscaler ML platform incumbent offering AutoML, training, deployment, and MLOps tightly integrated with AWS infrastructure. Comparable in capability to Kortical AI Cloud with significantly greater bundled pricing leverage.
• Databricks: Databricks offers a unified data and AI platform with AutoML, Feature Store, and MLflow for MLOps. A much larger incumbent that overlaps with Kortical's enterprise ML lifecycle offering while bundling data warehousing and broader analytics.
• Microsoft Azure Machine Learning: Azure ML is Microsoft's enterprise AutoML and MLOps suite. As a hyperscaler incumbent with bundled pricing and OpenAI integration, it represents a structurally similar offering to Kortical's platform with materially larger distribution and enterprise reach.
• Google Vertex AI: Google Vertex AI is the hyperscaler incumbent offering AutoML, custom model training, and MLOps on Google Cloud. Kortical explicitly markets against Google AutoML after winning head-to-head competitions, positioning Vertex AI as a direct incumbent competitor.

Direct peers

• H2O.ai: H2O.ai offers an open-source ML/AI platform with AutoML, Driverless AI, and MLOps capabilities, and competes head-to-head with Kortical on AutoML benchmarks. Comparable customer base in financial services and regulated industries, and similar positioning on cloud-scale distributed model training.
• DataRobot: DataRobot is the most direct competitor: an enterprise AutoML and MLOps platform that lets data scientists build, deploy, and manage ML models at scale. Directly comparable to Kortical AI Cloud's AutoML and MLOps modules and overlaps on the same financial services and regulated-industry buyer.
• Dataiku: Dataiku is an end-to-end enterprise AI platform covering AutoML, MLOps, and collaborative data science — directly comparable to Kortical AI Cloud. Targets the same enterprise buyers with similar code-plus-no-code tooling philosophy.

Regional players

• Faculty AI: Faculty AI is a London-based enterprise AI consultancy and platform provider. Closely comparable UK-headquartered peer focused on delivering applied ML solutions to regulated industries, competing directly for the same NHS, financial services, and public-sector opportunities.

Emerging players

• Abacus.AI: Abacus.AI offers an enterprise AI platform combining AutoML with applied LLM/agent capabilities, making it an emerging challenger that intersects with Kortical's agentic AI and AutoML positioning, particularly on AI agent workflows.
• UiPath: UiPath is a process automation platform that has been moving into AI-augmented automation, overlapping with Kortical's email-to-CRM and process automation use cases. Comparable buyer (enterprise operations) but anchored in RPA rather than ML-native automation.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/korticalai

Compliance2 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Kortical