The short answer: most teams searching for a FactSet alternative in 2026 are not trying to leave FactSet data behind. The frustration is a terminal-centric workflow, per-seat costs of roughly $12,000 or more per year, and an AI assistant that lives inside the terminal rather than inside the work. Two honest paths exist. Buy a cheaper data terminal such as Koyfin or Fiscal.ai if charts and fundamentals are the job, or move the research workflow itself onto an AI research system such as AllMind AI.

Who this is for: asset managers, hedge funds, sell-side research desks and corporate IR teams reviewing a FactSet renewal or consolidating overlapping research subscriptions.

Published August 10, 2026. Last reviewed August 10, 2026. Written by the AllMind AI research team.

Disclosure: AllMind AI builds one of the platforms compared here, and FactSet is one of the AllMind AI data partners, which gives us an unusual perspective on this question. We name the cases where a competitor fits better, and we do not rank on payment.

Key takeaways

• FactSet data is rarely the problem. AllMind AI sources content from partners including FactSet, S&P Global, LSEG and MSCI, so leaving the terminal does not mean leaving the data.
• Koyfin and Fiscal.ai replace the screens, not the workflow. Both cost a fraction of a terminal seat and carry no entitled broker research and no expert-call content.
• Bloomberg Terminal and LSEG Workspace are sideways moves. Bloomberg Terminal lists at $31,980 per seat for 2026, which buys a different terminal, not a different way of working.
• AllMind AI suits teams that want research completed rather than retrieved. 750M+ documents, 20+ data sources, 6,000+ datasets and 40+ exchanges sit on a financial ontology, with agents on top.
• Governance decides most institutional switches. AllMind AI is SOC 2 Type II certified as of November 2025, with per-user entitlements, full audit logs and no training on customer data.

Which FactSet alternatives should equity teams shortlist in 2026?

The 2026 shortlist splits into three groups. AllMind AI and AlphaSense replace research work rather than screens. Koyfin and Fiscal.ai replace the screens cheaply and leave the analysis to you. Bloomberg Terminal and LSEG Workspace replace FactSet with another terminal, which is rational when one dataset or the IB chat network drives the decision. The table gives best fit, core strength, internal-data support and the honest limitation for each.

Why do institutional teams look for FactSet alternatives?

FactSet is a financial data platform that delivers fundamentals, estimates, filings and analytics to research and portfolio teams through a per-seat workstation. Four complaints come up in nearly every renewal conversation.

Cost per seat is the first: FactSet workstations are publicly reported at roughly $12,000 to $36,000 per year depending on modules, and most analysts use a fraction of what they pay for. The second is that the workflow is the terminal, so data lives in screens while the analysis happens in Excel, Word and email. The third is that internal data is invisible, because a firm's own models, memos and datasets do not exist inside the terminal. The fourth is coverage pressure, a workflow problem no data feed solves. Our evaluation framework for picking an AI research tool scores those four against a shortlist.

How do the main FactSet alternatives compare, one by one?

Each platform below gets the same three parts: what it is, where it wins, where it falls short. The wider 2026 field, including Hebbia, Rogo, Daloopa and Quartr, is covered in Best AI Tools for Equity Research in 2026: A Platform Comparison.

AllMind AI

AllMind AI is an AI research system for institutional investors that connects 6,000+ datasets and a firm's own documents through a financial ontology. A financial ontology is a continuously maintained map of the relationships between companies, suppliers, customers, estimates, filings and a firm's own research.

Where it wins: AllMind AI sources content from partners including FactSet, S&P Global, LSEG and MSCI alongside SEC and SEDAR filings, 40+ exchanges, broker research and Expert Insights, so the data question is settled before the workflow question starts. On top of the financial ontology, agents draft memos, models, comp tables and earnings notes in your firm's format, and one holds a watchlist overnight and tells you what moved and why. Snowflake, Databricks and S3 connect through a scoped IAM role and are queried in place, so nothing is copied out of your environment. Every number traces back to the document it came from, with the calculation behind it visible. The full AllMind AI vs FactSet comparison and the data AllMind AI sources go further.

Where it falls short: AllMind AI is not a live trading or execution terminal, and broker research and Expert Insights arrive under your entitlements, whether you already hold them or we arrange them. A verification pass re-checks each figure against its source before a report goes out, but it does not yet flag a field it could not fill, so unattended runs still need the blanks checked.

AlphaSense

AlphaSense is a market-intelligence search platform built on licensed broker research, expert call transcripts, filings and news, expanded by its $930 million acquisition of Tegus in 2024.

Where it wins: the expert library is the largest in the category at 280,000+ investor-led call transcripts, agentic features have shipped steadily since 2025, and internal content is supported through the Enterprise Intelligence tier with connectors for SharePoint, Box and Google Drive.

Where it falls short: AlphaSense does not replace a market data terminal, internal content is indexed alongside licensed content rather than mapped into a shared model of entities and relationships, and pricing is quote-only.

Koyfin

Koyfin is a low-cost data terminal for advisors and individual investors covering charting, fundamentals, screening and watchlists.

Where it wins: the published Plus and Pro plans run from roughly $468 to $948 a year against Bloomberg Terminal at $31,980, and the charting and watchlist experience is good for the money.

Where it falls short: Koyfin is a data terminal rather than a research platform, with limited AI, no document intelligence and no entitled broker research.

Fiscal.ai

Fiscal.ai, formerly FinChat, is a fundamentals terminal and API with an AI copilot covering 100,000+ global public companies.

Where it wins: segment-level KPIs are the standout feature, with company-specific breakdowns for close to 1,000 companies alongside estimates, transcripts and ownership data, at self-serve pricing.

Where it falls short: Fiscal.ai is priced and built for self-serve users, so it carries no entitled broker research, no expert-call content and no route for a firm's own models and memos, which is where an institutional review of Fiscal.ai usually stops.

Bloomberg Terminal

Bloomberg Terminal is a full-service market data and messaging terminal, listed for 2026 at $31,980 per seat per year and $28,320 per seat on multi-terminal contracts.

Where it wins: real-time market data and the IB chat network are the two things a research platform does not replace, and where messaging is the workflow, that settles the question on its own. AskB adds a natural-language assistant over terminal data.

Where it falls short: Bloomberg Terminal sits at the top of the terminal price range, so a renewal fought on cost rarely ends here, and a terminal-resident assistant cannot reach the work happening outside the terminal in a firm's own models, memos and warehouse. Bloomberg AskB compared with AllMind AI works through that boundary.

LSEG Workspace

LSEG Workspace is LSEG's multi-asset terminal for research, trading and portfolio teams, publicly reported at roughly $10,000 to $22,000 per seat per year.

Where it wins: IBES estimates, broad global coverage and fixed income depth are the draw, and LSEG Workspace sits at the low end of the three large terminals on price, which makes it the usual landing spot when a FactSet renewal is being fought on cost.

Where it falls short: LSEG Workspace replaces FactSet with another terminal in 2026, so screens and data still live in one place while the analysis happens in Excel and Word, and internal documents stay outside. AllMind AI vs LSEG Workspace sets the two side by side.

What does a realistic 2026 research stack look like?

The pattern we see most often in 2026 has three parts.

1. Keep a reduced number of terminal seats where live market data, execution or a certified compliance workflow demands them.
2. Run the research system as the one governed workspace holding licensed data, documents, internal knowledge and agents, with fundamentals, estimates and live market data in-product so dropping seats does not mean losing screens.
3. Keep Excel, fed by traceable data rather than manual re-keying.

The usual result is fewer overlapping subscriptions, not more. AllMind AI is used by firms including RBC Global Asset Management, Sagard, Armistice Capital, Bellwether Investment and a Fortune 100 exploration and production company.

How do you make the case to compliance for leaving the terminal?

Lead with traceability and governance, not cost. AllMind AI is SOC 2 Type II certified as of November 2025. Entitlements follow the person asking, not the agent, and an agent inherits the role of whoever ran it and can never widen it. Every question and every export is logged, nothing your firm sends trains a model, and every vendor in the path runs under zero data retention.

Supervisory review also gets easier. Every result opens the document at the relevant passage, and every number traces back to its source with the calculation visible, a better audit position in 2026 than a spreadsheet cell typed by hand off a terminal screen.

Frequently Asked Questions

What is the best FactSet alternative for equity research?

AllMind AI is the strongest FactSet alternative for teams whose problem is the research workflow rather than the data feed, because AllMind AI puts agents and a financial ontology on top of institutional content. Koyfin fits advisors who mainly need charts and watchlists at low cost, and AlphaSense fits document search across broker research and expert transcripts.

Does AllMind AI include FactSet data?

Yes. FactSet is one of the AllMind AI data partners, and SEC and SEDAR filings coverage comes through that partnership, connected through the financial ontology like every other source. AllMind AI also sources content from partners including S&P Global, LSEG and MSCI, alongside 40+ exchanges and broker research.

Can an AI research platform replace a FactSet terminal?

No. An AI research platform does not replace a FactSet terminal for live market data, real-time monitoring and terminal-native workflows a compliance team has already certified. For reading, synthesis, document work and drafting, an AI research system such as AllMind AI now completes more of the job than a terminal assistant does, with every number traceable to the document behind it.

How much does a FactSet seat cost in 2026?

FactSet workstations are publicly reported at roughly $12,000 to $36,000 per seat per year depending on modules, against Bloomberg Terminal list pricing of $31,980 per seat and LSEG Workspace at roughly $10,000 to $22,000. Koyfin publishes Plus and Pro plans from about $468 to $948 a year.

How do I justify moving research off FactSet to compliance?

A compliance case for moving research off FactSet is built on traceability and governance rather than cost. AllMind AI is SOC 2 Type II certified as of November 2025, entitlements follow the person asking rather than the agent, every question and every export is logged, and nothing a firm sends trains a model. Desks with a terminal-certified workflow keep those seats.

AllMind AI is the AI-native research platform for institutional equity teams. If you want proof on your own work, send us the workflow you want tested.