DaaX

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DaaX is an advanced enterprise search platform that leverages neuro-symbolic AI to provide precise, trustworthy answers across both structured and unstructured data sources. By integrating large language models (LLMs) with context graphs, DaaX enables users to query their entire data ecosystem using natural language, delivering accurate responses grounded in the organization's own information. Key Features and Functionality: - LAKEer: Facilitates natural language search across unstructured data, including PDFs, Office documents, emails, and messaging platforms like Teams and Slack. - SQLer: Converts natural language queries into SQL, allowing seamless interaction with structured databases such as MS SQL, MySQL, PostgreSQL, and Oracle. - Neuro-Symbolic AI Engine: Combines LLMs with context graphs to ensure responses are both contextually relevant and verifiable. - Single-Tenant Security: Ensures data privacy and security by maintaining isolated environments for each client. - Scalability: Handles millions of documents and complex queries with high performance, suitable for large-scale enterprise applications. Primary Value and Solutions Provided: DaaX addresses the challenge of retrieving accurate and reliable information from vast and diverse enterprise data sources. By enabling natural language queries across both structured and unstructured data, it empowers users to obtain precise answers without the need for specialized technical skills. This capability enhances decision-making processes, improves operational efficiency, and unlocks valuable insights from previously inaccessible data silos.

LAKEer

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Ask your unstructured data anything with LAKEer. Get the most trustworthy answers in seconds. LAKEer turns plain-English questions into verified answers from PDFs, Office docs, emails, and Teams/Slack. LAKEer achieved the highest score ever published on Google DeepMind's FACTS Benchmark. And with developer tools that automatically keep LAKEer in sync with document additions and deletions, evolving business terminology, and changes to your domain knowledge. You can make this a domain search platform for building reliable agentic AI systems by authoring and plugging in domain ontologies, business vocabularies and business rules

LAKEer-Search Unstructured Data

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Product name: DaaX LAKEer Tagline Verified AI answers from your documents, with citations. LAKEer lets teams ask questions in plain English across PDFs, Office files, email and Teams/Slack, and get answers verified claim by claim against the source documents, with citations and an audit trail. Highest published score on Google DeepMind's FACTS Grounding benchmark. Most AI search tools give one confident answer and leave you to work out which parts are true. LAKEer checks before it answers. It searches your unstructured data (PDFs, Office documents, emails, and Teams and Slack messages), drafts an answer, then breaks it into individual claims and verifies each one against the retrieved sources. Unsupported claims are removed or repaired, and every sentence in the final answer links to the document it came from. LAKEer combines a knowledge graph with vector and keyword retrieval, so it can follow relationships across many documents rather than matching isolated passages. Numbers in tables are calculated deterministically, not guessed by a language model, and every answer comes with an audit trail. On Google DeepMind's FACTS Grounding benchmark, which measures whether AI answers stay faithful to their source documents, LAKEer scored 85.7%, the highest score on their public dataset. Domain knowledge cartridges add industry vocabulary and rules (for example energy/OSDU or e-commerce), and you can upload your own company terminology so answers use your language. Answers are returned in the language of the question. LAKEer runs single-tenant, and your data is not used to train language models. Use it through the Developer Dashboard, or build it into your own applications and AI agents through the REST API or MCP server. Pricing is based on queries and pages, not tokens, so costs are predictable. A free plan is available. Key features Natural-language search across PDFs, Office documents, email, Teams and Slack Claim-by-claim verification of every answer against source documents Citations and source links for every sentence Full audit trail for each answer Knowledge-graph retrieval across multiple documents Deterministic calculations over tables and figures Domain knowledge cartridges and custom company vocabulary Multilingual: answers in the language of the question REST API and MCP server for integration with apps and AI agents Single-tenant deployment; no training of LLMs on customer data Usage and cost reporting Categories Primary: Enterprise Search Software Secondary: Knowledge Management Software; AI / Retrieval-Augmented Generation (RAG); Document Management Typical customers Enterprise knowledge, legal and compliance, operations and engineering teams in regulated or document-heavy industries (energy, financial services, telecom, e-commerce), and developers building AI agents that need grounded answers. Deployment: cloud (single-tenant SaaS); API and MCP access