Continua vs DocSend
Sharing, viewer analytics and AI analysis
DocSend is built around secure document sharing and engagement analytics. Continua can support those distribution primitives while also reasoning over the entities, policies, states, contradictions and decisions inside the documents.
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Capability matrix
| Capability | Continua | DocSend |
|---|---|---|
| TB-level ontology processing | ✅ Core | ❌ |
| Up to 1B-token working context | ✅ | ❌ |
| 100% page / corpus coverage | ✅ Core promise | ❌ |
| Web research | ✅ | ❌ Not core |
| Entity linking / state reconstruction | ✅ | ❌ |
| Contradictions / missing information | ✅ | ❌ |
| Whitebox reasoning | ✅ | ❌ |
| Multiple LLM vendors | ✅ | ❌ |
| Self-improvement / RSI / evolution | ✅ | ❌ |
| Persistent Projects / Spaces | ✅ | ✅ |
| Data rooms | ✅ | ✅ |
| Translation | ✅ | ◐ |
| Deal Q&A | ✅ | ◐ |
| Sharing + permissions | ✅ | ✅ Core |
| Viewer analytics | ✅ | ✅ Core |
| BI / dashboards / visualization | ✅ | ◐ Engagement analytics |
| Zero data retention | ✅ | ❌ Persistent storage/sharing model |
Where Continua is stronger
- Deep content and decision intelligence in addition to distribution.
- TB-level ontology processing and 1B-token context.
- Entity linking, contradiction detection and root-cause analysis.
- Web research combined with private files.
- BI/dashboard reasoning tied to document evidence.
- Multi-model orchestration and zero-retention analysis.
Where DocSend is stronger
- Focused secure document distribution.
- Simple link-based sharing and engagement analytics.
- Mature page-level document-consumption insights.
- Established fundraising/sales/deal-sharing workflows.
Why Continua is different
Process ontology from TB-level big data
Continua is designed to process TB-level heterogeneous data into a structured ontology of entities, relationships, policies, rules, constraints, context, states, claims, contradictions, gaps, timelines and causal relationships.
Up to a 1B-token working context
Continua can reason over an effective working context of up to 1 billion tokens, enabling investigations across corpora that exceed the native context of a single frontier model.
Full-context coverage
Continua is designed around 100% page / corpus coverage for investigations where one buried clause, addendum, event, requirement or contradiction can change the outcome.
Whitebox reasoning and steering
Users can steer what the investigation looks for, how evidence is compared, what criteria matter and how conclusions are composed.
Projects, data rooms and analytics
Continua can support persistent Projects, data rooms, sharing, permissions, viewer analytics, translation, deal Q&A, BI, dashboards and data visualization.
Multi-model self-improvement
Continua can orchestrate multiple LLM vendors and evolve investigation skills through self-improvement, RSI and evolution strategies.
DocSend tells you how people engage with documents. Continua can do that — and reason about what the documents mean.
Best-fit use cases
Frequently asked questions
Does Continua support web research?
Yes. Continua supports web source discovery and web research in addition to private-data analysis.
Does Continua support persistent Projects and data rooms?
Yes. Continua can support persistent Projects and data rooms, with sharing, permissions, viewer analytics, translation and deal Q&A.
Can Continua build dashboards?
Yes. Continua can support BI, dashboards and data visualization alongside document, structured-data and web evidence.
Does Continua always retain uploaded data?
No. Continua supports a zero-data-retention mode for sensitive investigations; persistence can be enabled intentionally for Projects and data-room workflows.
Make the complete evidence set computable
Process the files, web sources, structured data, policies, relationships and states — not just the passages a retrieval layer thinks are relevant.
Start with ContinuaRun Your First Investigation Free
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