ComparisonAgentic research platforms, checked August 30 2026
Reviewed

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.

Editorial cover reading 'AI research platforms, compared' over a magnifying glass resting on layered stone and glass slabs
The short version
01
AllMind
AI research system for institutional investors

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.

02
Boosted.ai
The agentic research engine, five tiers

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.

03
How to choose
Follow your edge

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.

At a glance

Feature by feature

A side-by-side read with the losses left in. Ties are marked as ties, the rows Boosted.ai leads are marked as wins, and it wins or ties well over half of them.

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→
Where AllMind leads

Three things AllMind ships that Boosted.ai does not publish

01What the seat already holds

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.

AllMind Document Search returning passages from filings, broker research and expert calls
Document SearchAllMind product interface
02Where internal data lives

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.

An AllMind Data Room sitting beside a connected warehouse and folder sync
Data RoomAllMind product interface
03From answer to finished work

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.

An AllMind report drafted from cited passages, with the valuation build beside it
ReportsAllMind product interface
In fairness

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.

The platforms

Two agentic research platforms, split by what sits underneath

01

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.

02

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.

Strengths and trade-offs

What each one is good at, and what it costs you

Strengths on both sides are drawn from what each company publishes. The trade-offs are scope limits rather than complaints, and AllMind’s are the ones it states about itself.
01

AllMind

Strengths
  • 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
Trade-offs
  • 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
02

Boosted.ai

Strengths
  • 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
Trade-offs
  • 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
Pricing

What AllMind and Boosted.ai actually cost

Neither company publishes a list price, so anyone quoting one for either is guessing. What follows is only what each side actually publishes, with the date it was checked.
01

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.

List pricing
None published
Self-serve checkout
None
Company-stated
Monthly plan
None
Company-stated
02

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.

List pricing
None published, /pricing 404s
Alfa Pro
Free to start, self-serve signup
Alfa Individual
No price published
Alfa Platform
Usage-based, “free entry point”
Alfa Prime and Alfa Powered
Demo only
Company-statedboosted.ai product pages, Aug 30 2026
Archived tier sheet
Four tiers, no figure on any
Outside seat estimate
None found
Not publishedno Vendr buyer guide, Aug 30 2026
Decision note

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.

By the job

Which one you want, task by task

Four pieces of work an analyst would recognize. Each verdict names the deciding mechanism, and they do not all land on AllMind.
AllMind

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.

Run both

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.

Boosted.ai

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.

AllMind

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.

The bottom line

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.

FAQ

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.

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