OpenAI’s ChatGPT for finance now pulls from S&P Capital IQ, LSEG, Moody’s, and PitchBook. That reset the bar for AI-assisted research, and the rest of the field responded fast. Here are seven AI apps for financial research that hold up on desktop in 2026, from a hedge fund analyst’s console to a curious retail investor’s evening.
What to look for in a financial research AI
- Sourced answers. Every number needs a citation you can open. Answers without citations are guesses.
- Data provider coverage. S&P, FactSet, Refinitiv, PitchBook, or Sentieo each unlock different questions.
- Model choice. Being able to swap between GPT-5, Claude Opus, and a specialist finance model matters when the question changes.
- Watchlists and monitoring. A tool that only answers on demand is worth less than one that also pings you on filings.
- Export. Does it drop straight into Excel or a Word memo, or do you have to copy every table by hand?
- Data policy. Some tools train on user prompts. That is a non-starter for material non-public information.
Quick comparison
| App | Best for | Platforms | Free plan | Starting price/mo | Rating |
|---|---|---|---|---|---|
| ChatGPT for Finance | Cross-source research inside ChatGPT | Windows, macOS, Web | Free with limits | Business $30 | 4.6 |
| Perplexity Finance | Fast cited answers on public tickers | Windows, macOS, Web | Free with cap | Pro $20 | 4.5 |
| AlphaSense | Sell-side and buy-side research | Windows, macOS, Web | No | Enterprise pricing | 4.7 |
| FinChat.io | Individual investors, quick DCF | Windows, macOS, Web | Free with limits | Plus $39 | 4.6 |
| OpenBB Terminal | Open-source Bloomberg-style workflow | Windows, macOS, Linux | Free forever | Pro $80 | 4.5 |
| Boosted.ai | Portfolio managers scoring factors | Web app | No | Enterprise pricing | 4.4 |
| Kavout | Retail-friendly stock rankings | Web app | Free tier | Premium $19.90 | 4.2 |
The apps
1. ChatGPT for Finance – Best for cross-source research
ChatGPT for Finance is the new default for a mixed research question. Ask about a credit downgrade and it pulls the Moody’s note. Ask about a private company and PitchBook enters the chat. Everything comes back with source callouts.
Where it falls short: Only ChatGPT Business and Enterprise seats get the full data-provider set. The consumer Plus tier is thinner.
Pricing:
- Free: limited GPT-5 mini access
- Paid: Plus $20/mo, Business $30/user/mo, Enterprise custom
- Data providers: S&P Capital IQ, LSEG, Moody’s, PitchBook
Platforms: Windows, macOS, web.
Download: ChatGPT Business
Bottom line: The strongest pick if the team has ChatGPT Business seats and needs one interface across public and private markets.
2. Perplexity Finance – Best for quick cited answers
Perplexity Finance gives you a research answer in five seconds with sources attached. Ticker pages roll up filings, earnings call transcripts, and analyst notes with expandable citations. Pro Search runs multiple queries under the hood for a deeper answer.
Where it falls short: Data depth on private companies and credit is thin next to AlphaSense or ChatGPT for Finance. Best for public equities.
Pricing:
- Free: standard queries with daily cap
- Paid: Pro at $20/mo (adds unlimited Pro Search and Sonar model)
- vs ChatGPT: shallower private-company data, faster answers
Platforms: Windows, macOS, web.
Download: Perplexity Finance
Bottom line: The everyday tool for public-market work when speed and citation matter more than depth.
3. AlphaSense – Best for institutional research
AlphaSense is the sell-side and buy-side favourite for a reason. Its Smart Synonyms search reads intent, its transcript library covers thousands of companies, and its Generative Search summarizes across broker research the firm has licensed.
Where it falls short: Enterprise-only pricing puts it out of reach for individuals. The interface takes a week to learn.
Pricing:
- Free: no consumer tier
- Paid: enterprise, contact sales
- Data providers: broker research (bank-by-bank licensing), expert calls, filings
Platforms: Windows, macOS, web.
Download: AlphaSense
Bottom line: If your firm has an AlphaSense seat, use it. If it does not, the price will not fit a personal budget.
4. FinChat.io – Best for individual investors
FinChat.io rebuilt the retail research workflow around AI. Company pages ship with segment revenue breakdowns, KPI charts pulled from 10-K footnotes, and an AI chat that answers with the same underlying data.
Where it falls short: Coverage skews to US-listed companies. International tickers can be shallow.
Pricing:
- Free: limited chat and one company deep dive per month
- Paid: Plus $39/mo, Pro $150/mo
- Data providers: SEC filings, transcripts, KPI data
Platforms: Windows, macOS, web.
Download: FinChat.io
Bottom line: The best fit for a self-directed investor who wants the shape of a Bloomberg terminal without the price.
5. OpenBB Terminal – Best open-source workflow
OpenBB Terminal is a Bloomberg-style CLI and desktop app built in the open. Copilot inside OpenBB Terminal Pro answers questions about the loaded ticker using LangChain-style tool calls against live data.
Where it falls short: Steeper setup than a hosted app. The AI answers depend on the underlying data feeds you connect.
Pricing:
- Free: full open-source terminal
- Paid: Pro $80/mo (managed data, Copilot, and Excel add-in)
- Data providers: SEC, Yahoo, Polygon, Alpha Vantage, and paid connectors
Platforms: Windows, macOS, Linux.
Download: OpenBB
Bottom line: For power users who want to script their research and keep the tooling on their own machine.
6. Boosted.ai – Best for factor scoring at portfolio scale
Boosted.ai applies machine learning to score factors across a universe of stocks and surfaces which ones are drifting. Portfolio managers use it to explain today’s alpha or find candidates for the next rebalance.
Where it falls short: Enterprise pricing. Not a general research assistant.
Pricing:
- Free: no
- Paid: enterprise, contact sales
- Data providers: FactSet, MSCI
Platforms: Web with a desktop shell.
Download: Boosted.ai
Bottom line: For managers running quant overlays who need factor exposure explained without hand-building the model.
7. Kavout – Best for retail-friendly stock rankings
Kavout ranks US stocks with a Kai Score, an AI-derived composite that blends valuation, sentiment, technicals, and fundamentals. The desktop dashboard shows what changed each day and why.
Where it falls short: Rankings are black boxes. Non-US stocks are limited. Not a substitute for reading a 10-K.
Pricing:
- Free: limited access
- Paid: Premium $19.90/mo, Kai Signals higher tiers
- Data providers: multiple US public data feeds
Platforms: Web with a desktop shell.
Download: Kavout
Bottom line: The lightest option, useful for idea generation rather than deep work.
How to pick
- If your firm has ChatGPT Business or AlphaSense: use what is already paid for.
- If you invest for yourself and want depth: FinChat.io.
- If you want cited answers fast: Perplexity Finance.
- If you would rather script your own research: OpenBB Terminal.
- If you manage a portfolio and factor exposure matters: Boosted.ai.
- If you want a light idea generator: Kavout.
FAQ
Which AI financial research app is the most trusted? Institutional analysts still lean on AlphaSense and Bloomberg, and now increasingly on ChatGPT for Finance with the S&P and PitchBook integrations enabled. Individual investors trust FinChat.io and Perplexity Finance for public-market work.
Is there a free AI stock research tool? Perplexity Finance and OpenBB Terminal both have free tiers strong enough to run without paying. FinChat.io offers a limited free tier.
Can I upload my own spreadsheets for AI analysis? ChatGPT, Claude for Windows, and OpenBB Terminal all support uploading Excel or CSV. FinChat.io and Perplexity mostly work with data they already have.
Do these apps replace a Bloomberg Terminal? Not fully. Bloomberg still owns realtime pricing depth, chat, and messaging in the buy-side and sell-side workflow. OpenBB and FinChat.io get you a large fraction of the research angle for a small fraction of the price.
Are AI answers safe for regulated research? Only if the provider’s data policy matches compliance requirements. Read the enterprise terms before pasting anything material.
