Unlike the language models you are familiar with when talking about AI, expert.ai incorporates human knowledge to make answers more accurate and nuanced.
It took over 400 human years to develop expert.ai, and it is unique in today’s crowded AI marketplace.
expert.ai technology grew from the understanding of expert.ai’s computational linguists that the meaning of speech and written words arises from human experience and context. It does not have a statistical basis. Expert.ai understands that the nuance of language does not solely rely on the pattern of words and phrases in the same way that probabilistic AI, such as Large Language Models (LLMs), Predictive AI or Generative AI applications do.
expert.ai uses a hybrid approach to AI, integrating multiple technologies alongside Agentic AI, Symbolic AI, LLMs, and Generative AI, which are components of the EidenAI Suite.
This fundamental difference means that solutions using expert.ai are more accurate, repeatable, explainable and have lower operating costs. expert.ai is the result of the life’s work of the company’s generous founders, Marco and Stephan. (link to their profile on expert.ai). Each has invested more than 30 years in developing the field of artificial intelligence.
Let’s explore what expert.ai offers our customers
Ready to deploy solutions
Expert.ai has a suite of out-of-the-box, domain-specific NLU solutions, pre-trained for fast implementation in various industries on premises or as a cloud solution.
More than 300 firms of different sizes use expert.ai successfully for automation or knowledge discovery.
Insurance
Banking & Finance
Healthcare
Pharmaceuticals
Life Sciences
Government
Mining &
Manufacturing
Information Management Services
Expert.ai Development environment
Expert.ai’s web-based natural language understanding (NLU) platform enables organisations to build transparent, high-performing language models by blending Symbolic AI with machine learning. It is a comprehensive NLU environment designed to help organisations extract meaning from unstructured text.
The mature semantic graph allows subject matter experts to see how the AI models understand and interpret the context and relationships within natural language queries in a more human-like way.
It provides:
Low-code rule authoring for non-technical users
Support for hybrid pipelines combining ML and symbolic AI models
Scalable, governed deployment through the EidenAI Suite ecosystem
Built-in semantic intelligence for deep text understanding
Symbolic AI uses human-readable rules and logic to interpret language, as opposed to purely statistical or neural methods that result in “black boxes”.
Teams can move faster, with reduced risk, and deliver results in language-intensive processes, without sacrificing transparency, control, or compliance.
The environment is best for:
Organisations that need tailored NLU models without heavy coding effort.
Data scientists, IT teams and data operations leaders managing large-scale NLP applications.
Expert.ai EidenAI Suite
EidenAI Suite is a comprehensive, modular, end-to-end environment for building, deploying and managing natural language AI solutions.
Its value proposition rests in its hybrid approach, which combines several different AI techniques to provide a more robust and accurate understanding of unstructured text.
EidenAI Suite is designed for business teams seeking rapid time-to-value with minimal setup, particularly for complex processes or enterprise applications.
It allows firms to incorporate state-of-the-art artificial intelligence with a flexible and modular architecture developed and proven by expert.ai and other preferred AI models over the years.
What makes Eiden Suite stand out?
Hybrid AI Approach
Combines symbolic AI (rules, taxonomies, ontologies) with machine learning for maximum accuracy and explainability.
Built for Compliance
Transparent outputs and audit trails support regulatory and legal needs.
Enterprise-Ready
Designed for integration with complex enterprise environments (cloud/on-premise).
Cross-Functional Collaboration
Enables collaboration between technical and domain experts.
Key components of the EidenAI Suite
Hybrid AI Framework: This is the core of the platform’s functionality. It integrates and orchestrates selected AI technologies to support ready-to-use or custom solutions, including:
Symbolic AI
A rules-based, knowledge-driven approach that is highly explainable and provides a deep understanding of language structure and meaning.
Machine Learning (ML) & Deep Learning
For tasks that benefit from pattern recognition in large datasets, such as sentiment analysis and classification.
Large Language Models (LLMs) & Generative AI
For tasks like content summarisation, generation, and conversational interfaces.
Agentic AI
A key component for advanced automation. It enables the system to act autonomously, reason through multi-step processes, and proactively achieve business goals without constant human intervention.
Platform for Natural Language Workflow
This web-based environment where users design, train, and manage their AI solutions.
It provides an end-to-end workflow for:
Data Preparation
Tools for collaborative annotation and labelling of text data.
Model Building
The ability to create custom, rule-based models and train machine learning models.
Performance Measurement
Dashboards to run experiments and measure key metrics like precision, recall, and F1 scores.
Intelligent Document Processing (IDP)
This component extracts structured data from unstructured or semi-structured documents. It can process all text formats like PDFs, Word documents, images, or XML, eliminating the need for manual data entry and validation.
Knowledge Graph and Taxonomy Management
Offers automatically generated custom knowledge graphs as a central repository for entities, concepts, and the relationships between them. This is crucial for disambiguation capabilities and deep language understanding for model optimisation and automation. Tools for managing and creating taxonomies in-house are also ready to install.
Domain-Specific Solutions
Expert.ai provides pre-built embedded knowledge for insurance, finance, life sciences and more. This includes specialised ontologies and language models already trained on industry-specific terminology and concepts, accelerating development and improving accuracy for those sectors.
API and NLP Ecosystem
The platform’s open and flexible design offers a Natural Language API that allows developers to integrate the suite’s capabilities into their applications. It also supports integrations with popular AI models and business intelligence tools (like Tableau and Qlik).
Out-of-the-Box Solutions from expert.ai
We believe in getting to value fast. Expert.ai’s out-of-the-box solutions are pre-built, domain-specific applications that combine a unique hybrid AI approach with industry-specific knowledge.
The philosophy behind these solutions is to be “smarter from the start” by combining expert.ai’s proprietary knowledge-based AI with machine learning and large language models (LLMs). This hybrid approach provides high accuracy and explainability, especially for complex, language-intensive tasks.
expert.ai’s powerful natural language solutions can be deployed immediately, without extensive development or training.
Domain-Specific Language Models and Solutions
Instead of a generic tool, expert.ai offers specialised solutions tailored for particular industries. These solutions come pre-loaded with industry-specific knowledge, taxonomies, and rules, which are essential for understanding jargon and business-specific language.
Insurance
solutions automate tasks across the entire value chain, from claims to underwriting. They are pre-tuned to extract key data automatically from various documents like claim forms and medical reports, categorise submission packages, and route claims based on urgency or severity.
Banking & Financial Services
solutions focus on risk mitigation, compliance, and streamlining customer interactions. They analyse financial documents, emails, and customer feedback to identify key entities and sentiments.
Healthcare & Pharma
solutions accelerate research and development. They extract connections between biomedical entities from scientific literature, monitor clinical trials, and analyse regulatory reports to speed up quality control.
Media & Publishing
solutions help with content enrichment and discovery. Out-of-the-box, they automatically tag and classify content, extract key topics and entities, and help with knowledge base creation.
By leveraging our pre-trained models and deep knowledge graphs, you can unlock the full potential of your unstructured text from day one.
Pretrained Knowledge Models and Taxonomies
A key component of expert.ai’s out-of-the-box offering is the availability of pre-built knowledge models and taxonomies.
Knowledge Graph
The NLU platform has a ready-to-use and easily customisable knowledge graph. The graph is a vast network of concepts and relationships, which the platform uses to disambiguate the meaning of words in context. This is crucial for achieving a high level of accuracy and is a significant advantage over systems that rely solely on statistical analysis.
Pre-built Taxonomies
Expert.ai provides pre-built content taxonomies for automatic document classification and metadata enrichment. The taxonomies are aligned with industry standards and best practices, allowing companies to start organising their content from day one.
Why Choose expert.ai Out-of-the-Box Solutions?
Accelerated Time-to-Value
Launch your AI initiatives in weeks, not months. Proven pre-built solutions significantly reduce the time and resources needed to get up and running.
Unmatched Accuracy
Hybrid AI technology, combining symbolic and machine learning approaches, ensures a deeper, more accurate understanding of your data from the start.
Ready for Customisation
While our solutions are ready to go, they are not black boxes. They provide a solid foundation that can be easily customised to fit your unique business processes and data, giving you the best of both worlds.
