Kortical
Kortical is an AI platform designed to accelerate the delivery of AI solutions, focusing on providing transparent AutoML, scalable deployme...
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What is Kortical?
Kortical is an award-winning, patented AI Cloud platform that delivers enterprise AI agents and machine learning solutions end-to-end. The platform combines AutoML that writes custom machine learning solutions from the ground up in code with agentic AI capabilities, enabling users to go from raw data to deployed ML apps in days or as little as 30 minutes for Instant Apps. Kortical supports both UI-based no-code model building and full code-driven SDK access, putting data scientists in control while massively increasing iteration speed with 50k+ model iterations possible in one week.
Key features include exploratory data analysis, assisted rapid custom data cleaning and feature engineering, AutoML model building with code options, most advanced model explainability that explains the exact model used rather than substitute models, one-click deployment & infrastructure via UI or API, ML app/service creation with deployment, self-learning AI that adapts to consumer and market behavior, and multi-agent graphs with memory for agentic AI. The platform connects to Outlook, Gmail, CRMs, ERPs, and data warehouses like Snowflake, and is GDPR compliant, ISO 27001 certified with role-based access and audit trails.
Kortical is for data scientists and coders who thrive on delivering significant business value and hate repetitive tasks, as well as citizen data scientists, enterprise teams in retail, recruitment, automotive and financial services, and companies that have data and need for AI but lack expertise to strategise or deliver. The platform has helped customers achieve 50x productivity boost for accountants, 10x for bookkeepers, 14.5x for engineers, 80% role automation in financial services, 5,000 hours saved in recruitment, and typical ROI > 600% across targeted workflows.
Kortical pricing
Pricing model: Free
Pricing details are not publicly listed on the website. Kortical requires contacting their team for a focused demo to explore pricing and the quickest path to production. The platform offers enterprise AI agents built end-to-end with their patented agentic AI platform. Optional services include helping companies strategise and deliver AI/Machine Learning solutions until they become self-sufficient. The platform appears positioned for enterprise clients in retail, recruitment, automotive, and financial services sectors.
Kortical pros
- Patented award-winning agentic AI platform
- AutoML writes custom ML solutions from ground up in code
- 50k+ model iterations possible in one week
- Production-ready apps live in as little as 30 minutes
- Both no-code UI and full code-driven SDK available
- Most advanced model explainability explaining exact model used
- One-click deployment environment management
- ISO 27001 certified and GDPR compliant
- Role-based access and audit trails for enterprise
- Multi-agent graphs with memory, not just prompt chaining
- LLM + Expert Systems hybrid with deterministic guardrails
- Intent reduction architecture reducing errors exponentially
- Process verification at each node catching drift before compounding
- Human-in-the-loop passes to human when not confident
- Self-learning AI that retrains with corrections
- Open source based with no vendor lock-in
- Connects to Outlook, Gmail, CRMs, ERPs, Snowflake
- EU-hosted systems with end-to-end encryption
- Azure deployment option for on-premise OpenAI
- 2M+ messages in production with zero brand incidents
- 16x faster at delivering AI solutions
- 6x typical success rate for data projects
- 90%+ success rate with Superhuman AI plus Instant apps
- Automatic model retraining with latest data
Kortical cons
- Pricing details not publicly available on website
- Requires contact for demo and pricing information
- May need enterprise-level commitment for full features
- Advanced features require coding knowledge
- Focus primarily on enterprise clients
- UK-based consulting may limit global availability
- Complex agentic AI may require training to use effectively
- No explicit free tier mentioned for individuals
- Azure deployment option requires additional setup
Frequently asked questions about Kortical
How do AI agents avoid hallucinations?
AI agents avoid hallucinations by only using information from your verified company data, not by guessing from general knowledge. When a customer asks a question, the agent retrieves the relevant answer from your knowledge base and uses that to respond. Guardrails include validation checks that keep the agent focused on its defined scope and prevent it from straying into topics it shouldn't. If the agent doesn't have enough information to answer confidently, it will say so rather than make something up.
Is my data private and secure with Kortical?
Your data stays private and secure. Kortical never uses your data to train AI models, and you always retain full ownership. All data is protected with end-to-end encryption, both at rest and in transit. Their systems are EU hosted, GDPR compliant and ISO27001 certified. For enterprise clients who need additional control, they can also deploy on Azure so you can use OpenAI on-premise.
Can humans interact with and correct AI agent outputs?
Yes. Kortical's AI agents automate as much as possible, but humans can interact and correct the outputs whenever the AI is unsure. Those corrections are then used to retrain the model, so the system learns and improves over time. Before any updated model goes live, it goes through business-defined acceptability tests. This gives you fully automated, self-learning AI with full reproducibility and humans always in control.
What is the difference between a chatbot and an AI agent?
A chatbot answers questions while an AI agent takes action. Chatbots retrieve information and respond. AI agents go further by connecting to your backend systems, tools and databases to actually complete tasks. For example, when a customer asks about their order, a chatbot might give a generic response. An AI agent can access your order management system in real time, retrieve the exact status, update details if needed, and resolve the issue in one conversation. Think of an AI agent as a digital worker that knows how to perform specific tasks and has the tools to execute them.
How does Kortical manage chained tool calls compared to other approaches?
Successful AI Agents require performing many chained actions to accomplish a goal. GPT-5 averaged 8.22 tool calls for successful tasks on an Agentic AI benchmark, while Kortical AI Agents successfully manage hundreds of chained tool calls in production. This is achieved through intent reduction architecture for less guessing and exponentially fewer errors, multi-agent graphs with memory (not just prompt chaining), LLM plus Expert Systems hybrid combining probabilistic flexibility with deterministic guardrails, and process verification at each node to catch drift before it compounds.
What industries trust Kortical AI Agents?
Kortical is trusted by teams in retail, recruitment, automotive, and financial services. They have achieved 80% role automation in financial services, saved 5,000 hours in recruitment (with Reed reporting over 5,000 hours automated with ROI over 600%), and deliver typical ROI greater than 600% across targeted workflows. Trusted clients include Santander, Deloitte, Charlotte Tilbury, Ford, and Reed.
What examples of AI Agents at work does Kortical provide?
Kortical provides two main examples: Email to CRM plus Next Action, which automatically extracts details from inbound emails, updates the CRM, and triggers the next step, ensuring compliance, improving data quality, and freeing approximately 10% of team hours for revenue-generating work. The second is R&D Tax Compliance Pre-Qualification, which pre-qualifies projects, sets up meetings, and prepares dossiers for review, providing faster processing and less wasted time for clients and advisors.
What systems and tools does Kortical work with?
Kortical works with your existing stack and connects quickly to tools you already use including Outlook, Gmail, leading CRMs, ERPs, and data warehouses like Snowflake. If a tool has an API, Kortical can likely talk to it. The platform also supports Azure deployment for enterprise clients needing additional control to use OpenAI on-premise.
What is Kortical's success rate compared to typical AI projects?
Only 8% of AI projects are successful typically. MIT reported 95% of GenAI pilots show no measurable bottom-line impact, with only 5% reaching production. Kortical's secret to increasing success rate to 90%+ is Superhuman AI plus Instant Apps. All of Kortical's AI Agent pilots have reached production. The platform delivers 16x faster at delivering AI solutions with 6x the typical success rate for data projects.
How does Kortical's AutoML differ from other AutoML providers?
Kortical's AutoML can build any ML solution and doesn't use templates like other AutoML providers. Kortical uses a patented approach using AutoML to write code building up completely custom solutions from the ground up. This has three main advantages: the AutoML builds from the ground up to find the best solution so results are world-class, users can read, understand and fully control the AutoML through the code, and it's easy to iterate, collaborate and version control snippets of code over clunky UI based interfaces.