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Document analysis 2026 Rank: #992

Continua AI ✓

Deep research on your own files, every page read, every claim cited.

Source rating 5.0 (1) 516 views 11 saves 1 comments Free Trial
1B Context Window AI Investigation AI Research Agent
More categories (4)
Chat With PDF Alternative Cited Reports Conflict Detection Document analysis
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Verdict

A quick read before you dig into the full page.

Best if
Deep research on your own files, every page read, every claim cited
Skip if
English-optimized; limited multilingual support
Pick this when
100% page coverage — no RAG, no sampling

Considering OdysseyGPT instead? Compare side by side

Overview

ChatGPT's deep research reads the web. Continua does deep research on the pile you can't paste anywhere: 10,000 pages of contracts, medical records, financial filings, claim files, or transaction exports — up to 1B tokens in one investigation.

It reads every page — no RAG, no sampling, no retrieval lottery — and returns an investigation report where every claim cites its exact source page. Then the part nothing else does: it flags where your documents contradict each other. The pre-existing condition buried in provider #4's records. The amendment that quietly changed a requirement. The denial letter that conflicts with the policy's own endorsement. Every finding is inspectable — tagged cited, conflicted, duplicated, or unused — so you can audit the reasoning, not just trust it.

Used for medical chronologies, acquisition diligence, RFP compliance, insurance claim rebuttals, refund-fraud audits, and covenant reviews. Zero document retention after each task. First tasks free, no card required.
  • 1b-token Context Window
  • 100% Page Coverage (no Rag)
  • Per-claim Citations & Lineage
  • Cross-document Conflict Detection
  • Inspectable Findings (cited / Conflicted / Duplicated / Unused)
  • Zero Document Retention
  • Pdf, Docx, Xlsx, Csv
  • Exportable Reports
Continua AI website

Access & connections

Where you can use Continua AI.

Platforms

Web

Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • Tabular
  • Text

Output

  • Tabular
  • Text

Highlights

  • SOTA

Models

Text

GPT 5.6 Sol Claude Fable 5

Image

Claude Fable 5

Coding

Claude Fable 5 Deepseek V4 Pro

Pros & cons

Pros

  • 100% page coverage — no RAG, no sampling
  • Page-level citation on every claim
  • Flags contradictions between documents
  • 1B-token context window
  • Zero data retention after each task
  • OCR for scanned PDFs
  • Documents + spreadsheets in one investigation (PDF, DOCX, XLSX, CSV)
  • Inspectable reasoning (audit every finding)
Show 2 more
  • Editable reasoning — correct a step and re-run from that step, not from zero
  • Follow-up research keeps lineage consistent — citations and findings stay stable

Cons

  • Reports take minutes
  • Premium models require credits or subscription
  • No mobile application
  • English-optimized; limited multilingual support
  • Not open-source
  • No native API yet

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Releases 1

Initial release July 21, 2026 Current
Initial release of Continua AI.

Imported reviews 1

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KK Xavier Jul 21, 2026 v@ initial release

We built Continua because every "chat with PDF" tool we tried failed the same way: retrieval grabs a few chunks, answers confidently, and misses the qualifier on page 1,847. In high-stakes documents that's not an inconvenience — it's a lost case, a bad acquisition, a rejected claim.

So we went the opposite direction: no RAG at all. Continua reads 100% of every page (up to 1B tokens in one task), returns a report where every claim cites its exact page, and — the part we're proudest of — flags where your documents contradict each other. Every finding is inspectable and tagged: cited, conflicted, duplicated, or unused.

Where it shines today: medical chronologies, acquisition diligence, RFP compliance, insurance claim rebuttals. Where it's still rough: reports take minutes (we read everything — that's the cost), no API yet, English-optimized.

We're in public beta and genuinely want hard feedback — bring your nastiest document pile and tell us where it breaks. I'll answer every comment here.

FAQ 12

What industries can Continua AI be applied to?
Continua AI is utilized across various industries, including law, healthcare, finance, and franchises.
What can Continua AI's 'enterprise context intelligence' do?
Continua AI's 'enterprise context intelligence' assesses documents and provides insights by utilizing six separate 'lenses' to evaluate information. This includes mechanisms for state reconstruction, compression of historic data, schema discovery, causality identification, policy enforcement, and probe generation. It can implement policy-enforced actions, manage long-running executions, and interface with other systems like OMS, payments, support, and more.
What are Continua AI's six lenses?
Continua AI's six lenses for 'enterprise context intelligence' are State, Compression, Schema, Causality, Policy, and Probe. The 'State' lens reconstructs current conditions from event logs and feedback, 'Compression' distills extensive history into a minimal context pack, 'Schema' discovers patterns and classifications without manual construction of taxonomies, 'Causality' identifies root causes and evaluates what-if scenarios, 'Policy' converts experiences into executable standard operating procedures, and 'Probe' generates test cases at rule boundaries to expose unknowns and verify potential instances of failure.
What sort of documents can Continua AI analyze?
Continua AI is able to analyze a diverse range of document types, such as contracts, financial filings, transcripts, medical records, policies, and more.
How does Continua AI handle data privacy?
Ensuring data privacy is a top priority for Continua AI. It enforces a strict policy of zero document retention once a task has been completed, ensuring no user data is stored or retained.
What is Continua AI's approach to citation tracking?
Continua AI provides comprehensive citation tracking by thoroughly analyzing documents, tracing every finding back to its source, and producing reports with citations. This provides users the ability to validate the source of information.
How does Continua AI handle large scale documents?
Continua AI is designed to handle the analysis of large-scale documents with ease. It comprehensively reads through every page, from start to finish, to extract information. This is done irrespective of the length or complexity of a document.
Can Continua AI be used for high stakes decision making?
Yes, Continua AI is specifically designed to aid professionals in high-stakes decision making, particularly in relation to complex document handling. Use cases vary from federal RFP compliance to acquisition diligence and insurance claim rebuttals, among others.
What does Continua AI offer for medical chronology?
For medical chronology, Continua AI can produce a cited chronology that includes all provider dates, diagnoses, treatment gaps, and any conflicts around pre-existing conditions that a defensive lawyer might exploit.
How does Continua AI assist in federal RFP compliance?
For federal RFP compliance, Continua AI can identify and flag every 'shall,' eligibility rule, and scoring weight across the RFP or Notice of Funding Opportunity (NOFO), including any areas where amendments or FAQs have changed the rules.
How does Continua AI aid in acquisition diligence?
In terms of acquisition diligence, Continua AI aids by reconciling Confidential Information Memos (CIMs) against actual financials, detecting change-of-control clauses, and flagging any details that the seller may have glossed over.
What are the use cases for Continua AI's insurance claim rebuttal?
For insurance claim rebuttals, Continua AI can reconstruct the effective policy after endorsements and find every place where the carrier's denial conflicts with the actual policy language.
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