AllMind vs FactSet
AllMind licenses 6,800+ premium data sources from 100+ providers and partners, including FactSet fundamentals and Revere relationships, joins them to firm systems and returns the memo, model or deck. FactSet is the terminal and distribution platform: book-of-record portfolio and risk analytics, cross-asset field depth, feeds, APIs, OMS, execution. Research production versus the direct operating surface, not data versus analysis.
One ontology over 6,800+ premium data sources plus your own Snowflake, Databricks or S3 tables, queried in place through a scoped IAM role. Agents run the long job and return a memo, model or deck, every figure traceable to its passage.
The Workstation: curated multi-asset fundamentals and estimates, real-time exchange feeds, and portfolio, attribution and risk analytics its own June 2026 release calls validated, audit-approved outputs relied upon as a book of record. The same content now also ships outward as MCP servers, feeds and APIs.
Buy FactSet for validated attribution and risk, direct cross-asset field depth, outbound feeds and APIs, order routing, or a FactSet-native book of record. Buy AllMind when licensed FactSet data must be researched with S&P, LSEG, MSCI, market, private, alternative and firm data in a long workflow that ends in a cited document.
Feature by feature
AI and agents
Natural-language chat across documents
- AllMind
- Supported
- FactSet
- Supported
Passage-level citation on every answer
- AllMind
- Supported
- FactSet
- Per product
Long-running multi-step research agents
- AllMind
- Supported
- FactSet
- Alpha, banking first
Scheduled or event-triggered automations
- AllMind
- Supported
- FactSet
- Trigger-based, alpha
AI-built models (DCF, LBO, comps)
- AllMind
- Supported
- FactSet
- AI for Banking, alpha
Decks and memos from a supplied template
- AllMind
- Supported
- FactSet
- Pitch Creator
Content and entitlements
Curated global fundamentals and estimates
- AllMind
- Licensed partner data, including FactSet
- FactSet
- Supported
Broker research included in the subscription
- AllMind
- Aftermarket, on a delay
- FactSet
- Entitlement-gated
Expert-call transcripts built in
- AllMind
- Supported
- FactSet
- Via your own expert network
Supply-chain and alternative data
- AllMind
- Supported
- FactSet
- Supported
Filings coverage
- AllMind
- Global filings; EDGAR & SEDAR+ named
- FactSet
- Supported
Your own data
Queries your warehouse in place
- AllMind
- Snowflake, Databricks, S3
- FactSet
- Not documented
Data room over your own files
- AllMind
- Supported
- FactSet
- Research management
Per-user entitlements the agents inherit
- AllMind
- Supported
- FactSet
- Not documented
Market data, analytics and execution
Real-time market data in the research workspace
- AllMind
- 40+ exchange & venue feeds
- FactSet
- Supported
Book-of-record portfolio and risk analytics
- AllMind
- Not supported
- FactSet
- Supported
Order management and execution
- AllMind
- Not supported
- FactSet
- LiquidityBook
Investor-relations CRM platform
- AllMind
- Not supported
- FactSet
- Irwin
Distribution and interoperability
MCP server for the client’s own agents
- AllMind
- Not supported
- FactSet
- Limited release
Content inside third-party AI platforms
- AllMind
- Not supported
- FactSet
- Supported
Data feeds and APIs into your own cloud
- AllMind
- Not supported
- FactSet
- Supported
Commercials and governance
Published list pricing
- AllMind
- Not supported
- FactSet
- Not supported
SOC 2 Type II stated publicly
- AllMind
- SOC 2 Type II · AES-256
- FactSet
- Not documented
Public financials and scale record
- AllMind
- Not supported
- FactSet
- Supported
Compiled August 30 2026 from FactSet’s third-quarter fiscal 2026 results (July 1 2026), its FY2025 Form 10-K, dated FactSet and partner press releases, and AllMind product documentation. Cells marked “Not documented” mean we could not find a public source either way, not that the capability is missing. FactSet is one of AllMind’s data partners, so several rows shown as ties reflect data AllMind sources from partners including FactSet. Two AllMind rows carry their limits: broker research arrives aftermarket on a delay that varies by broker, and live markets span North America and Europe rather than every region.
See AllMind on your own coverage→What AllMind does with the data after it arrives
A research answer is not a research deliverable
AllMind is bought for the long job, and it ends in a document rather than an answer. An agent works for minutes or hours across filings, transcripts, broker research, Expert Insights and the firm’s own tables, traversing an ontology of companies, suppliers, customers and estimates instead of retrieving documents one at a time. What lands is the artifact: a Word memo, an Excel model with live formulas, or a deck from one of 20+ investment-bank templates, every figure traceable to the passage it came from.
FactSet is building the same shape from the other end and is candid about the stage. Pitch Creator, for banker pitchbooks, was announced in January 2025. FactSet AI for Banking, the trigger-based agent suite built with Finster AI, was announced in alpha for select clients on March 30 2026 with broader rollout planned through 2026, with no general-availability announcement as of August 30 2026. Boundary: the template is AllMind’s, so a bespoke house format still gets a formatting pass, and the rating stays the analyst’s.
FactSet sends data out; AllMind brings your systems in
FactSet’s 2026 strategy is distribution: its content goes out to whatever agent the client already runs. Its own August 11 2026 architecture piece argues retrieval alone does not execute work and MCP closes the gap, and the product line follows: an unstructured data MCP, a vectorized data API, Event Hub, Intelligent Document Service, and a Portfolio Analytics MCP in limited release since June 26 2026. None of that replaced the screens: the same June 30 2026 Google Cloud partnership also puts Gemini inside the Workstation.
AllMind runs the other direction, bringing your systems in rather than shipping content out. The published integration estate spans RMS and portfolio systems, Snowflake, Databricks, Redshift, BigQuery, GCS, Azure, S3, Redis and MongoDB, plus Google Drive, SharePoint, OneDrive, Egnyte and Box. By integration scope, those systems join the licensed corpus in one ontology under per-user entitlements agents inherit and cannot widen. AllMind publishes no MCP server of its own.
The entitlement stack is the hidden cost of a terminal
FactSet is priced per user with everything else modular on top, so the entitlement stack is where the money goes. Content sets, analytics modules, exchange pass-through fees and feed licenses are separately entitled, and AI is now its own line: management said on the July 1 2026 call that over 10% of the quarter’s ASV growth came directly from AI SKUs, so an existing contract no longer means the AI is included.
AllMind carries the classes inside one governed workspace instead: S&P, FactSet, LSEG and MSCI data, broker research, Expert Insights transcripts with senior operators and industry specialists, global investor-relations data, live earnings and financials within minutes, alternative data, and sector data the founder describes across mining, healthcare and consumer staples. The limits travel with the claim. Live embargoed broker research still needs the firm’s own research-management entitlement, aftermarket research arrives on a delay that varies by broker, and AllMind is quote-based with no self-serve checkout and no monthly plan.
Where FactSet is strong
FactSet is the incumbent, and AllMind is proud to count it among its data partners. At May 31 2026 it reported ASV of $2,484.3 million up 7.1% organically, more than 9,100 clients, over 247,000 users, retention above 95%. Its June 26 2026 Portfolio Analytics MCP release calls those analytics validated, audit-approved outputs relied upon as a book of record. LiquidityBook, closed February 7 2025 for $243.2 million, added a FIX network reaching 200+ brokers and 1,600+ destinations across 80 markets.
Its AI work went into plumbing, not demos: over 450 clients engaged under contracts and trials by the July 1 2026 call, and a place among the licensed sources in Google Cloud’s Gemini Enterprise for Financial Services on August 25 2026. AllMind’s focus is what happens next, acting on that data to build the deliverable. Two fair caveats, both dated: AI for Banking was in alpha on March 30 2026, and July 7 2026 reporting noted the Google Cloud announcement published no launch dates, named users, pricing or audit evidence.
One does the research, the other holds and distributes the record
AllMind
The AI research system for institutional investors
A financial ontology with a governed workspace on top. Companies, suppliers, customers, estimates, filings and the firm’s own research are stored as entities and relationships across six layers: Data Engine, Ontology and Relationships, Research Engine, AI Agents, Permissions and Audit, and the Governed Workspace.
Agents traverse that graph for minutes or hours, reading licensed content alongside internal Snowflake, Databricks or S3 tables. What comes back is the artifact rather than the answer: a memo, a model with live formulas, or a deck, each figure traceable to its passage.
FactSet
The institutional data and analytics terminal
A data and analytics business built around the FactSet Workstation: curated fundamentals, estimates and reference data, portfolio, risk and fixed-income analytics, screening, and enterprise data feeds. Its own boilerplate claims over 47 years of expertise and offices in 19 countries.
Its AI push is now distribution as much as screens: Pitch Creator for banker slides, AI for Banking in alpha with Finster AI, a Portfolio Analytics MCP in limited release since June 26 2026, and a Google Cloud partnership putting Gemini in the Workstation and its MCP inside Gemini Enterprise.
What each one is good at, and what it costs you
AllMind
- 6,800+ premium data sources in one subscription, from S&P, FactSet, LSEG and MSCI data to broker research
- Snowflake, Databricks and S3 queried in place through a scoped IAM role, nothing copied out
- Agents run for minutes or hours, then return a Word memo, Excel model or deck
- Expert-call transcripts ship as a built-in content class, not a second contract
- Per-user entitlements agents inherit and can never widen, SOC 2 Type II certified November 2025
- AllMind states that a single automation can track up to 200 companies
- Not a live trading or execution terminal, and not a performance and risk book of record
- No public AllMind page claims an MCP server for a client’s own agents to call
- Quote-based only: no self-serve checkout and no monthly plan
- Coverage is 18 markets across North America and Europe; Asia, Africa and LATAM are roadmap, not shipped
FactSet
- Book-of-record portfolio, attribution and risk analytics a compliance function already signs off on
- LiquidityBook order management, reaching 200+ brokers and 1,600+ destinations across 80 markets
- MCP suite with over 450 clients engaged under contracts and trials, per the July 1 2026 call
- Content licensed outward as feeds, APIs and identifiers into a client’s own cloud
- Irwin, an investor-relations and capital-markets CRM, which AllMind does not offer
- A public company (NYSE and Nasdaq: FDS) with $2,484.3M ASV and retention above 95%
- No published list pricing: the pricing page carries a contact route and no numbers
- AI for Banking was announced in alpha on March 30 2026, with no GA announcement since
- Priced per user, with content sets, analytics modules, exchange fees and AI SKUs entitled separately
- We found no documented connector that runs analysis over a client’s own tables in place
What AllMind and FactSet actually cost
AllMind
Quote-based, nothing published
Institutional agreements are priced by quote after a sales conversation. Nothing is self-serve, there is no monthly tier, and that is a real limitation for one analyst who wants to sign up this afternoon and start reading. Depth also depends on connecting internal systems, so onboarding opens with a data conversation rather than a signup form.
- Published list price
- None
- Contract shape
- Quote-based institutional agreement
- Self-serve or monthly tier
- None
FactSet
No published pricing, priced per user with modules on top
Neither the FY2025 Form 10-K nor the third-quarter fiscal 2026 release quotes a seat price. Two numbers survive scrutiny, and neither is a price. One estimates a whole contract across anonymized buyers. The other is arithmetic anyone can redo on two figures FactSet disclosed itself, which produces a whole-book average rather than a seat.
- ASV divided by users (derived, not a price)
- About $10,000 per user per year
- Median whole contract
- $25,160 / yr, observed range $4,200 to $28,179
What changes the quote
The seat is the smallest part of a FactSet bill: everything else is modular on top of a per-user price. Content sets and analytics modules are separately entitled: real-time market data, estimates, ownership, fixed-income, private-company, regional and alternative data, with portfolio, attribution and risk the expensive modules. Feeds and APIs into your own cloud, exchange fees per venue per user, research-management tooling and contract term move it too.
AI is now its own line: over 10% of the quarter’s ASV growth came from AI SKUs and MCP access is sold as a paid product, so an existing contract does not include the AI. Q3 renewals extended about 30% in length.
The two FactSet figures are not like-for-like and neither is a price. The derived per-user average spreads feeds, services and every seat type across the whole user base, and the Vendr figure is a whole contract across anonymized buyers with no deal count published, on a page that itself states FactSet does not publish standard list pricing. The bands still circulating online, roughly $12,000 per seat or $12,000 to $36,000 per seat, trace to no source we could open, so they are not repeated here.
Which one you want, task by task
Performance attribution and ex-ante risk for a multi-asset book, signed off for the risk committee.
FactSet’s portfolio analytics are the book of record, and its own June 26 2026 release describes validated, audit-approved outputs relied upon as one. AllMind is a research system and does not produce a performance and risk book of record.
One agent that reads our Snowflake revenue tables next to the filings, broker notes and expert calls, and hands back a defensible initiation memo by Friday.
Query-in-place access to Snowflake, Databricks and S3 through a scoped IAM role, joined to the licensed corpus in one ontology, with the memo landing as a Word document whose figures trace back to the passage they came from.
Our engineers are building internal agents and want vendor data exposed as tools they can call.
FactSet’s MCP suite is in market and paid for: management reported over 450 clients actively engaged under contracts and trials, and about 20% of the top 100 clients paying for MCP, on the July 1 2026 call. No public AllMind page claims an MCP server.
Track what management says about tariffs across my whole coverage list, and refresh it every quarter without me asking.
A scheduled automation runs over the transcript corpus and the ontology, and AllMind states one automation can cover up to 200 companies. FactSet’s trigger-based agents are banking-first: management placed Capital Markets Intelligence in active or pipeline trials at over 30 of its top 100 banking clients on the July 1 2026 call.
We already pay for FactSet across the desk, and the analysts still spend two days a week assembling material by hand.
Keep the direct FactSet surface for exact FactSet fields, book-of-record portfolio and risk analytics, outbound feeds and APIs, OMS and execution, or an entitlement outside the enabled AllMind package. Put AllMind’s agents and Expert Insights on the multi-provider research and assembly work. The research seat is the category where genuine consolidation can happen.
AllMind and FactSet reward different edges: depth of work across your own data and licensed content, or governed breadth you can distribute anywhere.
Choose AllMind when the job is long and multi-source: an agent working for minutes or hours across filings, transcripts, Expert Insights and your tables, ending in a cited memo, model or deck.
Choose the direct FactSet surface when the requirement is exact FactSet field parity, book-of-record attribution and risk, order routing, an outbound exchange-licensed feed or API, or an entitlement outside the enabled AllMind package. If you run portfolio analytics or trading on FactSet this is an add decision, not a replace, except at the research seat bought to assemble material by hand.
AllMind vs FactSet, answered
Most teams run both, and which one you cut depends on the seat.
FactSet is one of AllMind’s named data partners, so several capabilities are genuine ties: the underlying content is the same content. Nobody moves portfolio attribution, risk or order routing off FactSet, and AllMind does not ask them to, because it is not a trading or execution terminal.
The overlap is the research seat: analysts who bought a Workstation mainly to read filings, transcripts and research and assemble material by hand. That is where consolidation happens.
See AllMind on your own coverage
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