AlphaSense is the strongest tool for enterprise-grade equity research — AI-powered natural-language search across SEC filings, earnings transcripts, broker research, and a network of over a million pre-qualified experts, priced per seat in the $10,000–$40,000+ a year range. Fiscal.ai (formerly FinChat) wins when you want an AI copilot trained specifically on fundamentals, where every answer traces back to the actual filing or earnings call it came from. Koyfin wins on price for independent investors and advisors who want professional-grade research without Bloomberg or FactSet cost. All three answer the same underlying question — what does the data actually say about this company — at three very different price points and levels of depth.
Where each one actually wins
AlphaSense searches millions of documents — filings, earnings calls, broker research, news — using natural language, and its Expert Calls product gives direct access to a network of over a million pre-qualified industry experts. This is institutional-grade research infrastructure, and the pricing reflects that: enterprise contracts, not public self-serve checkout.
Fiscal.ai built its AI copilot specifically for fundamental equity work, trained on filings and earnings calls so its answers trace back to the underlying numbers instead of producing a generic, unsourced summary. Its Plus and Pro tiers ($24–$64/mo) make it the accessible option for a serious individual analyst or small team, not just enterprise buyers.
Koyfin covers granular data for 80,000+ companies globally across decades of history, plus global macroeconomic data — a genuinely professional-grade market research workspace, priced from $39/mo, that most independent investors and financial advisors get real value from without touching an enterprise contract.
Quick comparison
| Tool | Core strength | Starting price | Best fit |
|---|---|---|---|
| AlphaSense | Enterprise document + expert search | $10K-40K+/seat/year | Institutional research teams |
| Fiscal.ai | AI copilot traced to real filings | $24/mo | Serious individual analysts |
| Koyfin | Broad market data, low cost | $39/mo | Independent investors & advisors |
Which one should you actually use?
Use AlphaSense if you're on an institutional research desk and need enterprise-wide search across filings, transcripts, and expert calls — the price only makes sense at that scale. Use Fiscal.ai if you want an AI copilot for fundamentals work that you can actually trust because its answers cite the source. Use Koyfin if you're an independent investor or a small advisory practice that needs professional research depth without a five-figure annual bill.
FAQ
Is AlphaSense worth it for an individual investor, not an institution? Almost never — its pricing model and feature set (expert call networks, enterprise document search at scale) are built for institutional research teams, and an individual investor gets far more value per dollar from Koyfin or Fiscal.ai.
Can I trust an AI copilot's financial analysis without checking the source myself? Treat any AI-generated financial answer as a starting point to verify, not a final answer — Fiscal.ai's advantage specifically is that it traces answers back to the source filing or call, which makes that verification step fast rather than eliminating the need for it.
Do these tools replace a human financial analyst? No — all three are research acceleration tools, not a replacement for the judgment call of what a number actually means for an investment decision. They compress the time to find and organize data; interpreting it is still a human job.
What's the realistic cost difference for a small research team? A 3-5 person team would pay well into six figures annually for AlphaSense seats, versus a few hundred dollars a month total for Koyfin or Fiscal.ai — the gap is large enough that most teams below a certain size never seriously consider AlphaSense at all.
Related guides
- Best AI Stock Screener Tool in 2026
- Best AI Crypto Portfolio Tracker in 2026
- Best AI Tool for Turning Legal Research into a Client-Ready Memo in 2026
- How Sales Teams Turn Competitor Intel into Battlecards in 2026
- Best AI Tool for Competitor Research in 2026
- Explore Research & Data tools
*Ratings and pricing reviewed monthly. Last updated August 2026.*
Bogdex · Founder & editor, woska
Bogdex builds and curates woska, testing AI tools against real workflows to judge which ones actually save time rather than which have the longest feature list.