AI assistant for safe, reliable productivity with code, collaboration, and integrations.
LAKEer
$0 /moStarting price
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About LAKEer
LAKEer converts plain-English questions into trustworthy answers drawn from PDFs, Office documents, emails, Teams and Slack. It uses a neuro-symbolic engine that combines vector and keyword retrieval with typed relationships and per-claim provenance to ground responses in source material. Users can ingest documents, add domain knowledge via pluggable cartridges, and teach company-specific terminology so the system understands internal acronyms and project names. Automatic sync keeps the index aligned when documents are added, deleted or updated and when business terminology evolves. The tool exposes a REST API and MCP server for integration into applications and provides an audit trail plus mathematical computations over the data. It targets industries where factual accuracy is critical, such as oil and gas via the OSDU ontology and agentic commerce via Good Relations.
Key features
- Natural-language question answering
- Supports PDFs, Office docs, emails, Teams/Slack
- Domain Knowledge Cartridges for industry ontologies
- Company Language Cartridges for internal terminology
- Automatic sync with document additions and deletions
- REST API and MCP server integration
- Audit trail and mathematical computations
- Single-tenant security
Use cases
- Searching policy manuals and compliance documents
- Answering customer-support queries from email threads
- Retrieving technical specifications from engineering PDFs
Pros
- Verified answers grounded in source documents
- Automatic synchronization with document changes and evolving terminology
- Pluggable domain and company-language cartridges
- REST API and MCP server for programmatic access
- Audit trail and mathematical computations over data
Cons
- No free tier beyond 50 queries per month
- Requires ingestion of documents before querying
- Limited to unstructured data sources listed
Frequently asked questions about LAKEer
What is LAKEer and what does it do?
LAKEer converts plain-English questions into trustworthy answers drawn from unstructured data sources such as PDFs, Office documents, emails, Teams, and Slack. It uses a neuro-symbolic engine to ground responses in source material with per-claim provenance.
Who should use LAKEer?
LAKEer targets industries where factual accuracy is critical, such as oil and gas via the OSDU ontology and agentic commerce via Good Relations. It suits organizations needing reliable answers from internal documents and evolving business terminology.
How does LAKEer ensure answers are trustworthy?
LAKEer achieved the highest score on Google DeepMind's FACTS Benchmark, which measures how accurately AI grounds answers in source documents. It combines vector and keyword retrieval with typed relationships and per-claim provenance to verify facts.
Can LAKEer integrate with existing applications?
Yes, LAKEer exposes a REST API and MCP server for integration into applications. Users can ingest documents, add domain knowledge via cartridges, and teach company-specific terminology before integrating search capabilities.
How does LAKEer handle changes to documents and terminology?
LAKEer automatically syncs with document additions, deletions, updates, and evolving business terminology. This ensures the index remains aligned without stale citations or outdated information.
What types of domain knowledge cartridges are available?
LAKEer offers pluggable domain knowledge cartridges such as General Purpose, OSDU Ontology for oil and gas, and Good Relations for agentic commerce. Users can also create custom cartridges using open standards like SKOS.
