Continua AI
Continua AI is an AI-powered investigation workspace designed for professionals who need to analyze large, complex document sets. It transforms contracts, filings, transcripts, audio, and video into a shared working layer for multi-agent collaboration. The platform reads every page of the uploaded material and returns a cited report, with each claim backed by exact document and page references. It offers a context window of up to one billion tokens, enabling full-context reasoning instead of relying on retrieval-based top-k sampling, thereby minimizing blind spots in document analysis. Continua supports multimodal inputs and connects with over 20 leading AI models, allowing users to select the best reasoning engine for their specific task. The system emphasizes zero document retention after each task, making it suitable for handling sensitive material. It builds a live fact universe that captures events, relationships, conflicts, and changes across documents, and produces agent-native artifacts such as markdown and HTML-based files for downstream collaboration. Typical applications include due diligence, franchise FDD review, insurance claim rebuttals, commerce and transaction audits, medical chronology construction, bid package conflict detection, federal RFP compliance, grant NOFO review, and FDA 510(k) gap analysis. Continua AI is positioned as an enterprise-grade tool for professionals who require evidence-backed insights from extensive document sets.
- Category
- AI Research Tool
- Pricing
- Unknown
Problem solved
Professionals often need to cross-check claims across vast document sets, but conventional Q&A tools risk missing contradictions or citing the wrong source. Continua AI addresses this by processing the full context of all documents, flagging inconsistencies, and delivering a cited report with every claim traced to its exact document and page. This increases accuracy, auditability, and trust in AI-assisted analysis.
Use cases
- Due diligence: cross-check CIM claims against financials and contracts
- Franchise FDD review: verify disclosures and obligations
- Insurance claim rebuttal: find discrepancies in evidence
- Commerce and transaction audit: trace terms and covenants
- Medical chronology: build timelines from records
- Bid package conflicts: spot inconsistencies in RFP responses
- Federal RFP compliance: ensure bid meets all requirements
- FDA 510(k) gap analysis: compare submissions to guidance
Audience
- Business Users
- Enterprise
- Startups
- Researchers
Pros
- Cited evidence for every claim
- Zero document retention after task
- 1 billion token context window
- Multimodal input support
- Integration with 20+ AI models
Cons
- Pricing not publicly disclosed
- Requires uploading sensitive documents (though retained per task)
- May be overkill for small document sets
- Dependent on third-party model availability
Official website: https://askcontinua.com/
Canonical LambdaBase page: https://www.lambdabase.com/tools/continua-ai