Expert.ai provides the EidenAI Suite, a hybrid AI platform that combines domain knowledge, neuro‑symbolic reasoning, knowledge graphs, and large language models to extract, enrich, and analyze structured and unstructured data. The solution offers sector‑specific modules for regulated industries such as insurance, finance, and pharmaceuticals, delivering automated risk assessments, compliance checks, and workflow automation while maintaining model explainability and secure API‑first integration.
Funding
$29.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Enterprises often face fragmented, unstructured business data that is difficult to interpret, leading to slow decision cycles, elevated risk exposure, and suboptimal operational efficiency. Traditional analytics tools lack the contextual understanding required to translate complex data into actionable insights across regulated industries.
Solution
Expert.ai delivers the EidenAI Suite, a hybrid AI platform that fuses deep industry expertise with advanced AI techniques—including neuro‑symbolic reasoning, knowledge graphs, large language models, generative AI, and agentic AI. The suite provides fully deployable, sector‑specific solutions that automate data extraction, enrich content, and generate risk‑aware recommendations. By integrating AI directly into existing workflows, organizations can accelerate decision making, reduce compliance and fraud risk, and scale operations while maintaining a transparent, human‑centered control layer. The platform’s modular architecture ensures scalability and measurable ROI, aligning AI outcomes with strategic business objectives.
Target Audience
The primary customers are large enterprises in regulated sectors—such as insurance, pharmaceuticals, finance, media, and government—that need AI‑driven insight, risk mitigation, and process automation at scale.
Features
- Hybrid AI engine that combines domain knowledge with neuro‑symbolic AI for logical reasoning over heterogeneous data sources
- Knowledge‑graph layer that unifies structured and unstructured information, enabling contextual query and relationship mapping
- Large Language Model (LLM) pipelines for natural‑language understanding, summarization, and generation across documents and communications
- Generative and agentic AI modules that automate routine tasks such as content enrichment, compliance checks, and customer‑service interactions
- Industry‑tailored solution packs (e.g., insurance risk assessment, pharmaceutical regulatory review, financial crime detection, media content workflow, public‑sector document management)
- Secure, API‑first integration framework compatible with enterprise data lakes, ERP, and CRM systems
- Transparent model explainability and audit trails to satisfy regulatory and governance requirements
- Cloud‑native deployment options with on‑premise support for low‑latency, high‑security environments