AI Tool

DaaX/LAKEer Review

LAKEer is an AI tool that transforms plain-English questions into verified answers from various unstructured sources, integrating with existing systems and adapting to evolving business terminology.

shipped Sep 9, 2026codefreemium

Domain rating16

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Why it matters

1Achieved 77.7% on Google DeepMind's FACTS Grounding Benchmark, surpassing Gemini 2.5 Pro's 74.3%.

2Offers a freemium model with a Free plan including 50 queries/month and a Growth plan at $399/month for 6,000 queries/month.

3Integrates with Teams, Slack, and offers a REST API for developers.

4Employs a DaaX 3D graph, knowledge graph provenance, and a multi-stage verification pipeline for factual accuracy.

About DaaX/LAKEer

Business Model

Subscription SaaS

Usage Pricing

$0.06 per query

Free Credits

50 queries/month

Platforms

Web

Target Audience

Businesses looking for trusted AI-driven insights from their unstructured data.

Pricing Plans

Free

$0/month

• 50 queries/month
• 25 pages ingested/month

Growth

$399/month

• 6,000 queries/month
• 2,500 new pages/month

Cost Examples

• First 50 queries: Free, Next 6,000 queries: $399

API Docs

Specs

API Docs

View Documentation →

API Available

Yes, public API

overview

What is DaaX/LAKEer?

DaaX/LAKEer is a factual grounding AI system architecture developed by DaaX that enables developers of AI systems, data scientists, and businesses in regulated industries to obtain trustworthy and verifiable answers from their unstructured data. It combines multi-channel retrieval, knowledge graph provenance, and a multi-stage verification pipeline to achieve high accuracy and industry-aware responses, mitigating hallucination issues often associated with large language models (LLMs). LAKEer ingests unstructured data, such as PDFs, Office documents, emails, and communications from platforms like Teams and Slack, to build a proprietary DaaX 3D graph. This graph incorporates domain-specific ontologies and company-specific terminology, allowing it to provide precise, evidence-backed answers to complex queries. DaaX announced on March 9, 2026, that LAKEer achieved the highest score ever published on Google DeepMind's FACTS Grounding Benchmark, scoring 77.7% on the public dataset. General availability was scheduled for April 2026, with self-service options launched for users to sign up for a free plan.

features

Key Features of DaaX/LAKEer

DaaX/LAKEer incorporates several technical features designed to ensure factual accuracy and robust information retrieval from enterprise data. Its architecture is built upon a 'defense-in-depth' approach, combining multiple layers of verification and knowledge representation.

Natural language queries: Transforms plain-English questions into verified answers.
Automatic sync with document changes: Keeps the knowledge base updated with evolving documents and terminology, addressing 'schema drift'.
Audit trail and verification of answers: Provides provenance for all answers, linking them directly to source documents.
Single-tenant security: Ensures data isolation and security for enterprise deployments.
API integration: Offers a REST API for integration with existing systems and custom applications.
Multi-channel retrieval: Gathers information from diverse unstructured sources including PDFs, Office documents, emails, Teams, and Slack.
Knowledge graph provenance: Utilizes a proprietary DaaX 3D graph incorporating domain-specific ontologies for deeper relationship understanding.
Multi-stage verification pipeline: Employs a structured process to validate AI-generated responses for factual accuracy.
Numeric value handling: Stores numeric values from tables and curves as true numbers, enabling accurate mathematical computations.
Industry-aware AI grounding: Leverages domain ontologies for contextually relevant and accurate responses.

use cases

Who Should Use DaaX/LAKEer?

DaaX/LAKEer is primarily designed for organizations and professionals who require highly accurate, verifiable, and hallucination-resistant AI-driven insights from their internal unstructured data. Its capabilities are particularly beneficial in regulated industries and for complex data environments.

Developers of AI systems and Data scientists: For ensuring factual accuracy and hallucination resistance in AI applications.
Businesses in regulated industries (e.g., oil and gas, finance, healthcare): For verifying claims against industry-specific business rules and identifying classifications that contradict regulatory precedence.
Oil & Gas companies: For OSDU-grounded search across well completion reports, logs, and technical documents, enabling reasoning over subsurface knowledge.
eCommerce businesses: For facilitating trustworthy agentic eCommerce in the Universal Commerce Protocol (UCP) era.
Semiconductor companies: For unlocking answers buried in data sheets, application notes, errata, and selection guides, creating a 3D graph of parts, parameters, and design guidance.
Networking professionals: For AI-powered network test automation with a verification layer to validate AI-generated network instructions before execution.

how to use

How to Use DaaX/LAKEer

LAKEer offers self-service options, allowing users to sign up and begin utilizing the platform with a free plan. The process involves ingesting organizational data and then querying it using natural language.

1Sign up for a DaaX/LAKEer account, starting with the Free plan.
2Ingest unstructured data from sources such as PDFs, Office documents, emails, Teams, and Slack into the LAKEer platform.
3LAKEer automatically processes the ingested data to build its proprietary DaaX 3D graph, incorporating domain ontologies.
4Submit natural language questions to LAKEer through its web interface or API.
5Receive verified answers grounded in the source documents, complete with an audit trail.
6Integrate LAKEer's API into existing applications for automated information retrieval and verification.

pricing

DaaX/LAKEer Pricing & Plans

DaaX/LAKEer offers a freemium model with predictable, outcome-based pricing across several tiers, designed to provide transparency and scalability for various enterprise needs. Custom plans are also available for specific requirements.

Free: $0/month, includes 50 queries per month, 25 pages ingested per month, and a total of 75 pages ingested.
Lift-Off: $199/month, includes 2,500 queries per month, 1,000 pages ingested per month, and a total of 3,000 pages ingested.
Growth (Most Popular): $399/month, includes 6,000 queries per month, 2,500 pages ingested per month, and a total of 7,500 pages ingested.
Turbo: $899/month, includes 15,000 queries per month, 6,000 pages ingested per month, and a total of 18,000 pages ingested.
Custom: Tailored plans available for specific enterprise needs, offering custom queries and page ingestion limits.

Pros

+Achieved the highest score (77.7%) on Google DeepMind's FACTS Grounding Benchmark, demonstrating superior factual grounding.
+Mitigates AI hallucination through a multi-stage verification pipeline and knowledge graph provenance.
+Integrates with enterprise systems like Teams, Slack, and offers a robust REST API.
+Provides predictable, outcome-based pricing with a free tier and clear usage limits.
+Handles numeric values from documents as true numbers, enabling accurate mathematical computations.
+Ensures data privacy with a 'never' policy for training on user data and single-tenant security.

Cons

−Requires ingestion of organizational data, which may involve initial setup and data migration efforts.
−While offering a free tier, advanced capabilities and higher usage limits are behind a subscription model.
−The focus on enterprise-grade factual grounding might be an over-specification for users with simpler, less critical document Q&A needs.
−Specific user reviews are not widely published, relying heavily on benchmark scores for technical validation.

Policies

Pricing Page

View Pricing→

Similar Tools

DaaX/LAKEer vs Competitors

DaaX/LAKEer differentiates itself in the market through its superior factual grounding capabilities, as evidenced by its top ranking on the Google DeepMind FACTS Grounding Benchmark. Its 'defense-in-depth architecture' and specific handling of numeric data provide distinct advantages over general-purpose AI tools.

ChatPDFOn Stork

Offers a straightforward web interface to chat with PDFs, Word, and PowerPoint documents, providing answers with footnotes to sources.

While ChatPDF is excellent for quick Q&A on individual documents, it might lack the advanced integration capabilities and knowledge graph construction that DaaX/LAKEer emphasizes for complex, multi-source business data. It's more focused on single-document interaction.

Humata AIOn Stork

Focuses on summarizing long documents, extracting insights, and supporting multi-document analysis with enterprise-grade encryption for security.

Humata AI offers multi-document analysis and strong security, similar to LAKEer's focus on business data. However, LAKEer specifically mentions 'ontology-guided 3D graph construction' for deeper relationship understanding, which Humata's description doesn't explicitly detail.

Chatize↗

Provides a completely free, ChatGPT-based file reader assistant that supports a wide range of document types (PDF, DOCX, XLS, PPT, EPUB, MD) without requiring registration.

Chatize is a great free option for quick, casual interaction with various document types. It lacks the advanced features like integration with existing systems, adaptation to business terminology, or the 'trustworthiness' benchmarks that DaaX/LAKEer highlights for enterprise-grade verified answers.

Onyx AI↗

An open-source AI chat solution designed to connect to internal documents, apps, and people, offering deep research and advanced chat features with answers grounded in team knowledge.

Onyx AI provides a powerful open-source framework for internal knowledge Q&A, offering flexibility for customization and data control. The trade-off compared to DaaX/LAKEer is the need for self-hosting and technical setup, whereas LAKEer is a managed freemium service.

See every DaaX/LAKEer alternative, compared→