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Best AI tools for finance and insurance

A live board of the AI tools that actually do finance and insurance work — research, market data, underwriting, claims and bookkeeping — scored on published criteria and recalculated every day.

Live boardRecalculated 12 August 2026 · 14 tools tracked
Live
#1NotebookLM8.25#2Perplexity Finance8.25#3Fiscal.ai (FinChat)7.75#4Koyfin7.50#5ChatGPT7.50#6Claude7.50#7Gemini7.50#8AlphaSense7.00#9Bloomberg Terminal AI6.50#10Sixfold6.50#11Hebbia6.25#12Eigen Technologies6.25#13Docyt6.25#14Gradient AI6.00

Today's ranking

Daily ranking of AI tools for finance and insurance, updated 12 August 2026
#ToolCategoryScore24h
1NotebookLM

Source-grounded notebook that answers only from the documents you upload.

Good for: Interrogating a pension statement, prospectus or policy pack with inline citations.

Research8.25unchanged since yesterday
2Perplexity Finance

Answer engine with a finance mode showing tickers, filings and cited sources.

Good for: Source-first company and macro research where you want the footnote.

Research8.25unchanged since yesterday
3Fiscal.ai (FinChat)

Company research assistant answering questions over standardised financial data.

Good for: Segment-level fundamentals and quick KPI history for listed companies.

Research7.75unchanged since yesterday
4Koyfin

Market data and screening platform with AI-assisted search and summaries.

Good for: Charting fundamentals and building watchlists without terminal pricing.

Markets7.50unchanged since yesterday
5ChatGPT

General-purpose assistant with web browsing, file analysis and data-analysis tooling.

Good for: Summarising filings, drafting budgets, explaining policy wording in plain English.

General assistant7.50unchanged since yesterday
6Claude

Long-context assistant strong on document reading and structured extraction.

Good for: Reading a 90-page annual report or an insurance policy end to end.

General assistant7.50unchanged since yesterday
7Gemini

Assistant integrated with Google Search grounding and Workspace documents.

Good for: Fast grounded lookups and spreadsheet-based money modelling.

General assistant7.50unchanged since yesterday
8AlphaSense

Enterprise market-intelligence search over filings, transcripts and broker research.

Good for: Professional document search with generative summaries over a licensed corpus.

Research7.00unchanged since yesterday
9Bloomberg Terminal AI

AI summarisation of news and earnings inside the Bloomberg Terminal.

Good for: Desk workflows where the underlying data licence already exists.

Markets6.50unchanged since yesterday
10Sixfold

Underwriting assistant that summarises submissions against an insurer's own guidelines.

Good for: Life and specialty underwriting triage with an auditable reasoning trail.

Insurance6.50unchanged since yesterday
11Hebbia

Matrix-style document analysis for diligence across large private-market datasets.

Good for: Extracting the same field across hundreds of contracts or memos.

Research6.25unchanged since yesterday
12Eigen Technologies

Document-intelligence platform used for policy, claims and contract data extraction.

Good for: Turning unstructured policy wording into structured, checkable fields.

Insurance6.25unchanged since yesterday
13Docyt

AI bookkeeping automation for categorisation, reconciliation and reporting.

Good for: Small-business back office where ledgers are already in a supported system.

Accounting6.25unchanged since yesterday
14Gradient AI

Risk-scoring and claims-analytics models for health, workers' comp and P&C insurers.

Good for: Portfolio-level loss forecasting and claim severity triage.

Insurance6.00unchanged since yesterday

What each tool is good for

#1 · Google

NotebookLM

Use for: Interrogating a pension statement, prospectus or policy pack with inline citations.

Watch out: Deliberately refuses outside knowledge — that is the point, not a fault.

#2 · Perplexity

Perplexity Finance

Use for: Source-first company and macro research where you want the footnote.

Watch out: Citations can be thin blogs, not primary filings — check the domain.

#3 · Fiscal.ai

Fiscal.ai (FinChat)

Use for: Segment-level fundamentals and quick KPI history for listed companies.

Watch out: Standardised data can differ from a company's own reported basis.

#4 · Koyfin

Koyfin

Use for: Charting fundamentals and building watchlists without terminal pricing.

Watch out: AI features sit on top of data tiers; coverage differs per tier.

#5 · OpenAI

ChatGPT

Use for: Summarising filings, drafting budgets, explaining policy wording in plain English.

Watch out: Will answer confidently without a source unless you demand citations.

#6 · Anthropic

Claude

Use for: Reading a 90-page annual report or an insurance policy end to end.

Watch out: No native market data; numbers must come from documents you supply.

#7 · Google

Gemini

Use for: Fast grounded lookups and spreadsheet-based money modelling.

Watch out: Grounding quality varies; always open the cited link.

#8 · AlphaSense

AlphaSense

Use for: Professional document search with generative summaries over a licensed corpus.

Watch out: Enterprise sales process; not an option for retail investors.

#9 · Bloomberg

Bloomberg Terminal AI

Use for: Desk workflows where the underlying data licence already exists.

Watch out: Terminal-only; capabilities are not available standalone.

#10 · Sixfold

Sixfold

Use for: Life and specialty underwriting triage with an auditable reasoning trail.

Watch out: Carrier deployment only; not a consumer quote tool.

#11 · Hebbia

Hebbia

Use for: Extracting the same field across hundreds of contracts or memos.

Watch out: Built for institutions; output still needs analyst review.

#12 · Eigen

Eigen Technologies

Use for: Turning unstructured policy wording into structured, checkable fields.

Watch out: Configuration-heavy; accuracy depends on your training set.

#13 · Docyt

Docyt

Use for: Small-business back office where ledgers are already in a supported system.

Watch out: Automated categorisation still requires a human close review.

#14 · Gradient AI

Gradient AI

Use for: Portfolio-level loss forecasting and claim severity triage.

Watch out: Model outputs need bias and regulatory review before pricing decisions.