Continua vs Power BI + Copilot
Evidence intelligence vs traditional BI
Power BI is a mature BI platform centered on structured data and semantic models. Continua can also deliver BI, dashboards and visualization — but adds reasoning across massive unstructured evidence, policies, documents, entities, states and web sources.
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Capability matrix
| Capability | Continua | Microsoft Power BI + Copilot |
|---|---|---|
| TB-level ontology processing | ✅ Core | ◐ Strong semantic modeling, but not the same evidence-ontology workflow |
| Up to 1B-token working context | ✅ | ❌ |
| 100% page / corpus coverage | ✅ Core promise | ❌ |
| Web research | ✅ | ❌/◐ Not Power BI's core job |
| Entity linking | ✅ | ✅/◐ Through modeled relationships |
| Policy / context / state reconstruction | ✅ | ◐ Requires modeling/upstream preparation |
| Contradictions / missing information | ✅ | ◐ Data logic, not native document investigation |
| Whitebox reasoning / steering | ✅ | ✅ Strong semantic/report model control |
| Multiple LLM vendors | ✅ | ❌ Microsoft ecosystem |
| Self-improvement / RSI / evolution | ✅ | ❌ |
| Persistent Projects / workspaces | ✅ | ✅ |
| Data rooms | ✅ | ❌/◐ |
| Translation | ✅ | ✅/◐ |
| Deal Q&A | ✅ | ❌/◐ |
| Sharing + permissions | ✅ | ✅ |
| Viewer analytics | ✅ | ✅ Usage analytics |
| BI / dashboards / visualization | ✅ | ✅ Core strength |
| Zero data retention | ✅ | ❌ Persistent enterprise data platform |
Where Continua is stronger
- BI across structured and unstructured evidence.
- TB-level ontology extraction from documents, policies, reports, transcripts, spreadsheets and web sources.
- 1B-token evidence reasoning plus full-corpus document coverage.
- Native contradiction, gap, policy, requirements and root-cause analysis.
- Entity linking and source-level evidence lineage.
- Zero-retention mode for sensitive investigations.
Where Power BI + Copilot is stronger
- Mature enterprise BI ecosystem.
- Powerful semantic models and DAX.
- Deep Microsoft Fabric integration.
- Established interactive report and governance stack.
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.
Power BI tells you what the modeled data says. Continua can show the dashboard, then reconstruct why the entire evidence base says it.
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
Attach the file pile, ask the hard question, get back a cited report with every conflict flagged. No credit card. Two free tasks per week.