AllMind vs Boosted.ai
AllMind is an AI research system for institutional investors, with licensed content, a financial ontology and the firm’s own warehouse underneath it. Boosted.ai sells Alfa, an agentic research platform in five tiers, from an individual product up to white-label embedding.
Both monitor a coverage list and both write the brief. The split is what each one holds behind it.

Reads filings, broker research and Expert Insights expert-call transcripts alongside the firm’s own warehouse tables, then produces the model, the memo or the deck, with every figure traced back to the passage it came from.
Alfa’s agents monitor companies, portfolios and markets continuously, investigate material events, and return source-linked briefs and memos, sold from an individual product up to institutional deployments and white-label embedding.
Choose AllMind when the work is deep, multi-source, and ends in something that has to survive an investment committee. Choose Boosted.ai when the constraint is breadth of coverage, a free front door today, or research embedded in somebody else’s app.
Feature by feature
Research depth and output
Cited answers over primary documents
- AllMind
- Supported
- Boosted.ai
- Supported
Memos and research notes
- AllMind
- Supported
- Boosted.ai
- Supported
Multi-model adversarial debate on a thesis
- AllMind
- Not supported
- Boosted.ai
- Limited partner cohort
Excel models (DCF, LBO, comps) with live formulas
- AllMind
- Supported
- Boosted.ai
- Not documented
Decks from investment-bank templates
- AllMind
- Supported
- Boosted.ai
- Not documented
Edits existing PPTX, DOCX and XLSX files
- AllMind
- Supported
- Boosted.ai
- Not documented
Continuous coverage
Scheduled research runs
- AllMind
- Supported
- Boosted.ai
- Supported
Event-triggered briefs on filings and earnings
- AllMind
- Supported
- Boosted.ai
- Supported
Position-aware portfolio alerts
- AllMind
- Not documented
- Boosted.ai
- Supported
Stated scale of a single automation
- AllMind
- 200 companies
- Boosted.ai
- Not stated
Entitled content and data
Broker research included in the seat
- AllMind
- Aftermarket, on a delay
- Boosted.ai
- Unclear
Expert-call transcripts built in
- AllMind
- Supported
- Boosted.ai
- Not documented
Named premium data partners
- AllMind
- S&P, FactSet, LSEG, MSCI
- Boosted.ai
- S&P, S3, ORATS, OWL (May 2025 archive)
Stated corpus scale
- AllMind
- 750M+ documents
- Boosted.ai
- 150K sources
Stated coverage figure
- AllMind
- 40+ exchange and venue feeds
- Boosted.ai
- 15,000+ companies
Internal data and governance
Your warehouse queried in place
- AllMind
- Snowflake, Databricks, S3
- Boosted.ai
- Unclear
Upload your own documents
- AllMind
- Supported
- Boosted.ai
- Yes, Nov 2025 tier sheet
Entitlements agents inherit and cannot widen
- AllMind
- Supported
- Boosted.ai
- Configurable
SOC 2 Type II
- AllMind
- Supported
- Boosted.ai
- Supported
ISO 27001 certified
- AllMind
- Targeted Q1 2027
- Boosted.ai
- Supported
ISO 42001 (AI management system)
- AllMind
- Not supported
- Boosted.ai
- Supported
Distribution and developer access
Public API for agents and events
- AllMind
- Not documented
- Boosted.ai
- Supported
MCP integration
- AllMind
- Bloomberg and AlphaSense bridges
- Boosted.ai
- Supported
White-label embedding under a partner brand
- AllMind
- Not supported
- Boosted.ai
- Supported
Commercial
Published list pricing
- AllMind
- Not supported
- Boosted.ai
- Not supported
Free self-serve entry
- AllMind
- Not supported
- Boosted.ai
- Alfa Pro only
Compiled from public sources and AllMind documentation, Boosted.ai re-checked live on August 30 2026. “Unclear” cells are not publicly documented today: sell-side data access and document upload appear only on its November 2025 tier sheet, whose pricing page now returns a 404. Partner names come from logo files on the May 2025 archive of its homepage, dated to that snapshot, since no Boosted.ai partner list or count is public now. Its ISO and SOC 2 marks are company-stated on boosted.ai/security: the trust center renders client-side and shows no certificate detail. Scale figures come from each vendor’s own materials, are not like-for-like, and print as claims rather than scores.
See AllMind on your own coverage→Three things AllMind ships that Boosted.ai does not publish
The content is in the subscription, not on a second invoice
Broker research and Expert Insights come inside an AllMind seat. Expert Insights is expert-call transcripts with senior operators and industry specialists, reached from a toggle in Chat, its own tab, or a Data Room, so a desk reads them without holding an expert-network contract. Broker research runs on an entitlement split worth understanding before signing: aftermarket research is included on a delay that varies by broker, and research still under embargo needs the firm’s own RMS entitlement. Around those sit S&P, FactSet, LSEG and MSCI data, alternative data, live news from thousands of sources, global investor-relations data, and live earnings and financials within minutes.
Boosted.ai reads a different library. Its agents work across what it states are 150,000 financial sources, plus filings, transcripts and events for more than 15,000 companies, and it names no expert-call library anywhere. The only public trace of sell-side content is an Enterprise-tier bullet on a pricing page that now returns a 404.
Your warehouse answers the question without leaving your account
AllMind reads the firm’s own warehouse where it already sits, and never copies it out. A scoped IAM role reaches Snowflake, Databricks and S3, and Data Rooms take in the documents that never reached a warehouse through Google Drive and OneDrive folder sync. The ontology is what makes the join worth anything: internal tables and external filings become entities and relationships on one map, so an agent walks from a holding to a supplier to an estimate instead of returning five documents. Per-user entitlements carry into every agent run and can never widen, and every access in or out is logged.
Boosted.ai’s public record on internal data is thinner and older. Its November 2025 tier sheet listed custom document storage at every tier, with structured-dataset upload and unspecified custom integrations at Enterprise, and none of that language survives on the current site. No warehouse connector appears anywhere on it, past or present, so a firm whose data lives in Snowflake should ask before assuming.
The model and the deck come out of the same seat as the answer
AllMind turns the answer into the artifact without leaving the seat. It produces Excel models, including DCF, LBO and comps with live formulas and standard banking color conventions, Word memos and research notes, and PowerPoint decks drawn from 20+ investment-bank templates, plus edits to PPTX, DOCX and XLSX files a colleague already started. Every figure carries the passage it came from and the calculation that produced it, and a verification pass re-checks the numbers before a report ships. The honest limit: output lands in a supplied template, so a desk with a bespoke house format still runs a formatting pass, and the narrative and the rating stay the analyst’s.
Boosted.ai delivers source-linked briefs and reports, and at the Alfa Prime tier a citable memo carrying bull, base and bear cases. It traces its claims back to filings and transcripts too. What it does not publish is a model builder.
Where Boosted.ai is strong
Boosted.ai is ahead of AllMind on certifications, and that is the cleanest win on this page. It states SOC 2 Type II alongside ISO 27001, ISO 27701 and ISO 42001, and ISO 42001 is the AI management standard vendor reviews are starting to ask for. Boosted.ai states all of that itself: its trust center renders client-side, so certificate scopes, auditors and validity dates could not be read. AllMind holds SOC 2 Type II, certified November 2025, with ISO 27001 targeted for Q1 2027.
The Alfa ladder is also wider than AllMind’s, running from an individual product through Alfa Pro for analysts, Alfa Prime for institutional teams, Alfa Powered for platforms that want research inside their own app, and Alfa Platform for developers. Alfa Pro’s free signup is a real self-serve door, not a demo request. Alfa Prime, announced August 24 2026, sets independent models arguing bull and bear with a moderator reporting where they disagreed, though Boosted says it is opening that tier to a limited number of institutional partners.
Two agentic research platforms, split by what sits underneath
AllMind
The AI research system for institutional investors
A governed workspace whose spine is a financial ontology: companies, suppliers, customers, estimates, filings and the desk’s own research held as entities and the relationships between them, so an agent walks the map instead of retrieving documents.
Licensed content sits inside the seat, and the firm’s own Snowflake, Databricks and S3 tables stay where they are, read through a scoped IAM role. Agents run for minutes or hours across many data points and finish in Excel, Word or PowerPoint rather than in a chat window.
Boosted.ai
The agentic research engine, sold in five tiers
Alfa’s agents monitor companies, portfolios and markets continuously, investigate material events, and return source-linked briefs and memos. The ladder runs from an individual product through Alfa Pro, Alfa Prime for institutional teams, Alfa Powered for brokerages and platforms, and Alfa Platform for developers.
The company says it monitors 150,000 financial sources and supports firms with $5 trillion in client assets, the same figure its homepage carried in May 2025. Quantitative machine learning is still a described component; the stock-selection and factor screens of 2022 are gone.
What each one is good at, and what it costs you
AllMind
- Broker research and Expert Insights expert-call transcripts included as built-in content classes
- Warehouse tables in Snowflake, Databricks and S3 read where they sit, never copied out
- A financial ontology joining internal tables to filings, estimates, suppliers and customers
- Live-formula DCF, LBO and comps models, Word memos, and decks built on 20+ investment-bank templates
- Per-user entitlements every agent inherits and cannot widen, with every access logged
- SOC 2 Type II certified November 2025, AES-256 at rest, TLS 1.3 in transit
- No self-serve checkout and no monthly plan, so nothing starts without a sales conversation
- ISO 27001 is targeted for Q1 2027, and SOC 2 Type II is the certification in hand
- Live embargoed broker research needs the firm’s own RMS entitlement, aftermarket arrives on a delay
- Output arrives in a supplied template, so a desk with a bespoke house format still reformats
Boosted.ai
- SOC 2 Type II plus ISO 27001, 27701 and 42001 certifications, as its security page states
- Alfa Pro starts free on a real self-serve signup, with no procurement cycle
- A financial event bus, a finance-native agent catalog and an MCP integration
- Alfa Powered embeds research under a partner’s own brand by iFrame or API
- Multi-model bull, bear and moderator debate across model families at Alfa Prime
- Independent reporting put it at 300+ clients and $3 trillion in client assets in November 2024
- No published price anywhere, and boosted.ai/pricing returned a 404 on August 30 2026
- Alfa Prime is open to a limited number of institutional partners rather than on sale
- The advertised public docs are unreachable, and every Alfa Platform button goes to a contact form
- No expert-call library is documented, and its only sell-side trace is an archived Enterprise bullet
What AllMind and Boosted.ai actually cost
AllMind
Quote-based, nothing published
Every quote comes out of a sales conversation. Nothing is sold self-serve and there is no monthly plan, so anyone buying for themselves rather than an institution is better served by a self-serve tool. What a seat carries is entitled content the desk would otherwise license separately, which is the thing worth comparing rather than a number.
- Self-serve checkout
- None
- Monthly plan
- None
Boosted.ai
No pricing page at all today
boosted.ai/pricing returned a 404 when checked on August 30 2026, and no dollar figure appears on any Boosted.ai product page. The page that existed until at least November 2025 named four tiers and attached no figure to any of them. Alfa Pro’s free signup is genuine and self-serve. Alfa Platform advertises a free entry point, but every call to action on that page routes to a contact form.
- Alfa Platform
- Usage-based, “free entry point”
- Alfa Prime and Alfa Powered
- Demo only
- Outside seat estimate
- None found
What changes the quote
On the Boosted.ai side, the archived tier sheet meters tokens, document storage, data-source breadth, watchlist and portfolio counts, scheduling rights and seat count, with sell-side data access and structured-dataset upload reserved for Enterprise. Alfa Platform adds a usage meter on API and event-bus calls, and Alfa Powered is a partnership deal, not a seat count.
On the AllMind side, a quote moves on seats, which entitled content classes the firm switches on, how many internal systems are connected, and automation volume. Broker research moves it most: research under embargo is gated on the firm’s own RMS entitlement, while aftermarket research arrives on a delay that varies by broker.
The two contracts are not like-for-like. A Boosted.ai free or Pro seat is a monitoring product; an AllMind seat carries licensed content a desk would otherwise buy separately. Nobody publishes a seat estimate for Boosted.ai: Vendr has no buyer guide for it, and the only outside dollar figure in circulation is a scraped 2023 revenue estimate, which is not a price and is not used here.
Which one you want, task by task
Initiate coverage on a name nobody on the desk has owned, with a model and a note by Friday.
The deciding mechanism is the deliverable stack. AllMind builds the DCF and the comps with live formulas and drafts the note in the same seat where the filings and the broker research were read. Boosted.ai documents briefs, reports and memos, and publishes no model builder.
Watch 300 tickers and tell me each morning if anything material moved.
Both fire on filings and earnings and both return a source-linked brief. The tiebreak is what happens next: if the follow-up needs expert-call transcripts or broker research, AllMind already holds them; if the desk wants a fast position-aware alert on a book it knows, Boosted.ai is the more direct purchase.
Put an AI research experience inside our brokerage app, under our own brand, by next quarter.
Alfa Powered is built for exactly this: embedded by iFrame or API, under the partner’s branding, with OEO and CIRO guardrails named on the page. AllMind sells seats into firms and has no white-label product to bid here.
Answer an LP question that needs our Snowflake performance tables joined to filings and sell-side estimates.
The deciding mechanism is that the Snowflake tables never move. A scoped IAM role reads them where they sit, the ontology joins them to the filings and estimates around them, and the agent inherits the asker’s entitlements. The only internal-data capability Boosted.ai documents publicly is upload, on an archived November 2025 tier sheet.
Choosing between them comes down to where your edge actually lives: depth over content and systems you already pay for, or breadth of coverage and research that ships inside somebody else’s product.
Choose AllMind when the work is long and multi-source, when the sources are not free, and the answer has to survive an investment committee. The ontology carries the agent from a company to its suppliers, and the model comes out of the same seat.
Choose Boosted.ai when the constraint is coverage rather than depth, or when research has to live inside somebody else’s product. A team that wants a free front door today, ISO 42001 in the vendor file, or an MCP endpoint for its own agents should start there.
AllMind vs Boosted.ai, answered
Yes, for institutional teams whose work depends on licensed content and internal firm data.
Both monitor a coverage list, fire on filings and earnings, and return source-linked work, so the split is underneath. AllMind carries broker research and Expert Insights expert-call transcripts inside the seat, joins the firm’s own Snowflake, Databricks or S3 data in place through a scoped IAM role, and traverses a financial ontology rather than retrieving documents.
Boosted.ai carries breadth of continuous monitoring, a free entry point on Alfa Pro, a developer platform with MCP, and a white-label product. If the work is wide, or has to live inside somebody else’s app, Boosted.ai is the better fit.
See AllMind on your own coverage
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