KLKortical Limited logo

Kortical Limited Unclaimed

Enterprise AI

kortical.com

London, England, United Kingdom

Kortical provides an enterprise AI platform and services to help data science teams build, deploy, and govern AI and ML solutions.

Kortical is a technology company that provides an enterprise AI platform and related services to help data science teams deliver AI and ML solutions at scale. The company focuses on enabling organizations across industries to build, deploy, and govern AI-enabled workflows—from data preparation and model development to production deployment and operational monitoring—while emphasising security, compliance, and governance. Kortical emphasises empowering data scientists and engineers to move from raw data to production-ready applications quickly, with an emphasis on reducing time-to-value, improving model reliability, and enabling collaboration across teams. The organization highlights its enterprise-ready platform, support for end-to-end lifecycles, and proven ability to automate and accelerate AI initiatives. Kortical communicates a mission to help clients, partners, and teams build the AI future and to deliver tools that make advanced analytics more accessible, scalable, and controllable within regulated environments. The content on the website describes a focus on data science workflows, capability to deploy AI and ML apps, and a commitment to privacy, security, and international standards. The audience includes data scientists, engineers, and decision-makers seeking to operationalize AI at scale while maintaining governance and security.

Kortical’s mission is to help you build the AI future.

What we offer

Kortical AI Platform

Accelerate AI project success with automated model building, secure deployment, and governance features.

kortical.com/products/ai-platform

Kortical AI Consulting

Service

Empowering organizations to execute successful AI initiatives efficiently.

kortical.com/products/ai-consulting

Kortical AI Video Personalisation

Boost customer engagement with tailor-made videos that enhance conversion rates.

kortical.com/products/ai-video-personalisation

Kortical MLOps

Streamline ML app deployment and management for faster AI success.

kortical.com/products/ai-platform/ml-ops

Kortical Chat

Enhance customer interaction with a powerful AI chatbot that automates responses and improves user satisfaction.

kortical.com/products/ai-agents/kortical-chat

K-Chat

Enhances customer service by providing instant support and improving conversion rates through personalized interactions.

k-chat.com

Market segments

Market size by segment

Growth potential (CAGR)

MLOps and model deployment

2.43 Billion USD37% CAGR

Capabilities to build, deploy, monitor, automate, and optimize machine learning models across hybrid cloud and edge environments.

Automated model building and feature engineering

3 Billion USD32% CAGR

Platforms that automate data preparation, exploratory data analysis, feature engineering and AutoML to accelerate model discovery and reduce time-to-value for data science teams.

Conversational AI and virtual assistants

15.59 Billion USD22.3% CAGR

Capabilities to build and run chatbots and virtual assistants across websites, embeds, and messaging channels for customer engagement and support.

Personalized video campaigns

3 Billion USD18% CAGR

Mass personalized video and dynamic content delivery for marketing and customer communications, with multi-channel delivery, personalised landing pages and campaign analytics while supporting regulatory controls.

AI governance and compliance

0.89 Billion USD45.3% CAGR

Frameworks and controls to govern AI assets, manage model risk, enforce policies, ensure explainability and auditability, and support regulatory compliance.

More information about our offering

Kortical AI Platform

Kortical AI Platform is an enterprise cloud platform that enables data science teams to own ML models from raw data through feature engineering, model building, and scalable production deployment. It offers end-to-end lifecycle support, built-in AutoML across thousands of models, automated data preparation, model governance, and secure production deployments with enterprise SLAs. The platform easily integrates with commonly used tools and supports time-series data, data dashboards, and API-based services.

  • Enhances Data Quality
    Improve data quality and reduce manual effort with automated processes that clean and prepare your data efficiently for analysis.
  • Maximizes Model Performance
    Ensure optimum model performance by utilizing AutoML, which tests numerous models to identify the best fit for your data.
  • Streamlines Workflow
    Streamline your workflow with a platform that simplifies the entire machine learning lifecycle from data ingestion to model deployment.
  • Simplifies Transition to Production
    Effortlessly transition to production with one-click deployment, complete with enterprise-level service level agreements to ensure ongoing performance.
  • Supports Big Data
    Enables seamless processing of large datasets, crucial for modern data-driven applications.
  • Ensures Compliance
    Maintain compliance and ethical AI practices with integrated explainability tools that clarify model decisions.
  • Delivers Instant Insights
    Enables rapid understanding of data through automated analysis, identifying issues before modeling.
  • Facilitates Informed Decision-Making
    Experience actionable insights and informed decision-making with real-time analytics that integrate seamlessly with your existing tools.
  • Simplifies Time-Series Analysis
    Easily handle time-based data analysis with built-in support that transforms time-stamped data into formats ready for effective modeling.
  • Prioritizes Key Features
    Focuses efforts on impactful features, enhancing model performance and efficiency.
  • Enhances Data Communication
    Creates visual representations of data insights, facilitating easier stakeholder discussions.

Kortical AI Consulting

AI consulting services to help organisations plan, design and execute AI initiatives. Provides guidance on data readiness, model selection, deployment strategies and governance.

  • Define AI Goals Clearly
    Establishes a clear AI vision and roadmap, aligning with organizational objectives for measurable impact.
  • Facilitate Smooth Deployment
    Provides hands-on assistance in preparing data, selecting suitable models, and planning deployment to ensure successful results.
  • Ensure Compliance and Security
    Guides organizations in maintaining compliance with regulations and managing risks associated with AI deployment.
  • Enhance Internal Expertise
    Provides training sessions and resources for internal teams to independently manage AI initiatives in the future.
  • Assess Data Quality
    Identifies gaps in data quality and readiness, enabling effective machine learning model development.

Kortical AI Video Personalisation

Personalised video engine that generates a unique video for each customer by combining name, vehicle, renewal date and offer. Delivered via email or SMS with a personalised thumbnail and a landing page, all while supporting GDPR, ISO 27001, and EU/US hosting. Includes real-time campaign analytics.

  • Enhance User Relevance
    Make communications feel personal and relevant, increasing engagement and response rates.
  • Create Unique Video Experiences
    Deliver a tailored video to each customer, enhancing their experience and improving retention rates.
  • Ensure Data Safety
    Meet industry regulations and maintain customer trust with top-notch security practices.
  • Track Campaign Performance
    Gain insights into how each campaign performs with detailed metrics to optimize future efforts.
  • Drive Effective Conversions
    Each customer lands on a tailored page that enhances conversion opportunities.
  • Engage Across Channels
    Reach customers through their preferred channels for optimal engagement.

Kortical MLOps

Deployment and lifecycle management platform for ML apps. Enables one-click deployment and rollback, version tracking and governance, multiple environments, and CI/CD for enterprise SLAs.

  • Automate Builds And Deployments
    Facilitates seamless updates and quick iterations to ensure reliability and performance for machine learning applications.
  • Guarantee Performance And Uptime
    Aligns machine learning applications with business service requirements to enhance operational effectiveness and user confidence.
  • Simplify Deployment Process
    Reduces the complexity and time involved in launching machine learning models into production.
  • Safeguard Updates With Testing
    Allows testing in isolated environments to prevent disruptions and ensure stability during deployment.
  • Ensure Model Accountability
    Maintains visibility and control over machine learning models, ensuring compliance and facilitating audits.
  • Efficient Resource Allocation
    Simplifies the provisioning and management of computational resources necessary for machine learning operations.

Kortical Chat

Kortical Chat is an AI agents platform for building and deploying conversational agents tailored to your business needs, enabling instant customer support 24/7.

  • Protect Customer Data
    Build trust with your customers as the platform adheres to strict data protection regulations.
  • Engage Customers Anytime
    Ensure your customers receive immediate support at any hour, improving satisfaction and retention rates.
  • Create Chatbots Easily
    Empower users to design custom chatbots tailored to their unique requirements without any technical expertise.
  • Understand Customer Needs
    Gain valuable insights into your customers' queries to refine your products and services continuously.
  • Deploy on Any Site
    Easily embed the chatbot on your existing platforms to streamline customer interactions across different channels.

K-Chat

K-Chat is an advanced AI chatbot solution designed to automate customer interactions, providing instant responses and support for various inquiries in multiple languages, available 24/7.

  • Provides Immediate Support
    With K-Chat available 24/7, customers can get answers to their inquiries instantly, increasing overall customer satisfaction and potentially reducing support costs.
  • Engages Global Customers
    By offering support in various languages, K-Chat can cater to diverse customer bases, fostering better communication and understanding.
  • Reduces Operational Costs
    By automating inquiries, K-Chat minimizes the need for additional human resources, thus lowering overall customer support expenses.
  • Cuts Down Response Times
    By handling routine inquiries automatically, K-Chat reduces the burden on customer service teams, allowing staff to focus on more complex issues.
  • Enhances Customer Experience
    By personalizing product suggestions, K-Chat assists customers in finding products that meet their specific needs, increasing satisfaction and conversion rates.
  • Drives Business Strategy
    The analytics provided by K-Chat help businesses understand customer preferences, enabling them to optimize their offerings and marketing approaches.

References

Methodology and sourcing behind the figures shown above.

MLOps and model deployment

Primary sources in the searchResults report a 2024–2025 market base of roughly USD 2.1–2.4 billion and forecast rapid expansion. Precedence Research (updated 2026) estimates USD 2.43B in 2025 and a 37% CAGR to 2035; KBV Research provides a similar base (USD 2.08B in 2024) and a comparable high-growth CAGR (39.3% to 2032). I therefore use Precedence's 2025 figure (USD 2.43B) as the market-size estimate and its 37% CAGR as the growth potential, noting other sources show a similar high-growth range.

Automated model building and feature engineering

Search results show AutoML market estimates ranging from ~$1.0B (2023) to $3.7B (2026) with high growth (c.42–45% CAGR) and feature-engineering/feature-platform submarket estimates of $1.4–1.8B (mid-2020s) with lower but strong CAGR (12.8–23.8%). Combining these adjacent submarkets and weighting toward the larger AutoML forecasts yields a mid‑2020s combined market estimate of about $3.0 billion and a near‑term growth potential of roughly 32% CAGR (consensus between aggressive AutoML forecasts and more conservative feature-engineering forecasts).

Conversational AI and virtual assistants

Estimates based on multiple market reports in the provided results. MarketResearchFuture lists 2025 size at $15.59B and a 22.3% CAGR (2025–2035). Other forecasts (MarketsandMarkets, Grand View via K2view, Mordor) show 19.6–31% CAGR and 2024–2026 sizes of $11.6B–$25.7B; the selected values reflect the consensus midpoint and MRFR forecast.

Personalized video campaigns

Used the provided advertising video production market sizing (USD 66.5B in 2024) as the parent market. Personalized video campaigns are a specialist subset (platform SaaS, dynamic creative, personalized landing pages, campaign services). Conservatively estimated this segment at ~4–5% of the broader advertising video production market (~USD 3.0B) given current adoption and vendor revenues. Growth potential is higher than the broader market (Zion CAGR ~12.5%) because personalization adoption, AI-driven automation, and multi-channel demand should accelerate platform and services revenue — estimated ~18% CAGR for personalized video campaigns.

AI governance and compliance

Primary estimate uses MarketsandMarkets (detailed 2024 baseline and 2024–2029 CAGR). Other search results report a range (NextMSC/AWS: ~USD 0.62B 2024, CAGR ~51%; MarkSparks: USD 2.85B 2024, lower multi‑year CAGRs). I selected MarketsandMarkets as the baseline and noted corroborating but variable estimates across reports.

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