The short answer: For a bank or fund that needs research depth across public companies, entitled content and its own warehouse, AllMind AI is the Rogo alternative built for that work, on a quote-based contract. For the content layer alone, AlphaSense. For document-heavy diligence in a firm's own files, Hebbia or Model ML. For a deck that stays inside S&P data, Capital IQ Pro with the Farsight add-on due later in 2026. For pitch books and CIMs on a deal desk, Rogo remains the purpose-built choice.

Who this is for: heads of research and technology at investment banks and private-equity or credit funds, hedge fund analysts who inherited a Rogo seat, and corporate development and IR teams budgeting for 2027.

Published August 28, 2026. Last reviewed August 28, 2026. Written by the AllMind AI research team. Reviewed by Anwaar Malik, founder of AllMind AI.

Disclosure: AllMind AI builds one of the platforms compared here. We name the cases where Rogo or another competitor fits better, and no vendor paid to be listed. Every Rogo figure comes from rogo.com, a dated announcement or a labeled estimate.

Key takeaways

• Rogo is a deliverable engine for deal desks. Deal Room (August 6, 2026), the Rivanna acquisition (August 11) and Claude Opus 5 inside the platform (July 24) all point at the transaction itself.
• Rogo publishes no price. Sacra's figure of about $3,300 per seat per year is a directional third-party estimate; rogo.com/pricing was a 404 on August 28, 2026.
• The reasons teams look elsewhere are structural. Living coverage, buy-side and corporate research, and internal data joined to market data sit outside a pitch-book engine.
• AllMind AI is the alternative for that deeper job. Its ontology links each company to its filings, estimates, transcripts and the firm's own warehouse tables in one agent run.
• AlphaSense is a content layer and Rogo is not. AlphaSense states 500 million-plus documents and 300,000-plus expert transcripts as of August 2026; Rogo lists six outside data providers and generates the work product.

Why teams look for Rogo alternatives

AllMind AI, AlphaSense and Hebbia are the three names that come up when a Rogo user starts shopping, and the reason is scope. Rogo is shaped around deal deliverables for investment banking and private markets: rogo.com states 50,000-plus bankers and investors at 350-plus institutions as of August 28, 2026, and names Truist Securities, Nomura and Baird as customers. The four jobs below sit outside that workflow.

• Living coverage. A desk following 40 names through every quarter wants standing monitors on filings, transcripts and guidance.
• Buy-side and corporate research depth. Hedge fund analysts, asset managers and IR teams need the public record read for a thesis or a Street read, under their own entitlements.
• Internal data joined to market data. Positions, models and warehouse tables need to sit next to consensus and filings in one query; Rogo Intelligence (July 22, 2026) has no metrics published.
• Price and metering. Rogo publishes no price, and Credit Center (June 22, 2026) exists to help institutions manage and predict AI spend, so usage is metered.

Figures are as of August 2026 unless dated otherwise; the head-to-head is on our AllMind AI vs Rogo page.

Which inputs does a take-private pitch pull, and where do they live?

A take-private pitch pulls the offer price, the premium, the enterprise value, trailing revenue and its recurring share, from the 8-K, the 10-K and the firm's own precedent library. The example below uses a closed deal so every figure is public.

The question asked: "Build the inputs page for a take-private of Dayforce (DAY): offer terms, premium, enterprise value and the trailing revenue base from the last 10-K."

The sources: Dayforce's press release, Exhibit 99.1 to its Form 8-K of August 21, 2025 (EDGAR), and its Form 10-K for the year ended December 31, 2024 (EDGAR). Every figure is quoted from those documents or is our arithmetic on them; none is the output of any product.

What the documents say:

• Thoma Bravo agreed to acquire Dayforce for US$70.00 per share in cash, an all-cash transaction with an enterprise value of US$12.3 billion, announced August 21, 2025.
• The offer was a 32% premium to the unaffected close on August 15, 2025, the last trading day before media reports of a possible deal, with a minority investment from a subsidiary of the Abu Dhabi Investment Authority.
• Evercore advised Dayforce; Goldman Sachs and J.P. Morgan Securities advised Thoma Bravo, with Goldman financing. Thoma Bravo's completion release dates the close to February 4, 2026.
• Total revenue for 2024 was $1,760.0 million, up 16.3% from $1,513.7 million, and total recurring revenue was $1,517.3 million, up 17.0%. Live Dayforce customers rose 7.6% to 6,876, and Dayforce recurring revenue per customer reached $163,101.
• Our arithmetic: $12.3 billion of enterprise value is 7.0 times 2024 total revenue and 8.1 times 2024 recurring revenue, before any adjustment for float revenue or net cash.

On a Rogo desk, those bullets feed Felix, which builds the deck page and the comps tab in the bank's template. On AllMind AI the ontology holds Dayforce as one entity linked to its 8-K, its 10-K, its transcripts and LSEG (IBES) consensus, and each figure opens at its passage. A bank that wants the page in a house pitch-book format gets it faster from Rogo.

The next step is where the two systems part. The bank's precedent library and the coverage analyst's model sit in SharePoint and a warehouse; on AllMind AI those tables are read where they live, through an IAM role the firm's own engineers scope, and joined to the external corpus. A precedent screen across five years of the firm's own deals plus public 8-Ks is the hours-long run AllMind AI is bought for; see our guide to AI for M&A target screening.

Rogo alternatives by job: deliverables, coverage, data

AllMind AI covers the research and coverage job, AlphaSense and Daloopa the content and data layers, Hebbia and Model ML the document and deliverable layer, and Capital IQ Pro and Copilot the deliverable inside a tool the bank already pays for.

AllMind AI

AllMind AI is an AI research system for institutional investors, launched publicly on July 13, 2025, with a financial ontology under a set of research agents.

Where it wins: the long workflow that spans public data, entitled content and the firm's own systems. The ontology encodes the entities, relationships, evidence and entitlements of the market, so an agent asked for a software take-private precedent screen traverses company, filing, estimate and transcript objects rather than retrieving documents one at a time. Reports drafts investment memos, comps analyses, credit notes and company primers from cited sources, as a Word memo, a deck or an Excel model scaffold with pre-built formulas. Underneath sit S&P, FactSet, LSEG and MSCI data, broker research, Expert Insights transcripts and global investor-relations material.

Governance lives in the graph: an agent inherits the role of whoever ran it and can never widen it, deal walls map to roles, and every access is logged. Grids put a coverage universe down the rows and standing questions across the columns, with a subscription that flags when an answer changes as new filings land, the coverage job Rogo does not chase. Banks, hedge funds and large corporates run these workflows, typically retiring a research seat, a document-search seat and a monitoring tool.

Where it falls short: it is not a pitch-book factory. There is no deal-room or transaction-management layer, and a deck or model lands in a supplied or house template, so a strict house format still needs a formatting pass. Pricing is quote-based with no self-serve plan, so a retail or otherwise non-institutional user is better served elsewhere. Embargoed broker notes need the firm's own RMS entitlement, and aftermarket notes arrive on a delay that varies by broker.

AlphaSense: the content layer

AlphaSense sells enterprise search across licensed broker research, expert-call transcripts, filings and news, and it is the Rogo alternative when the missing piece is licensed content.

Where it wins: content Rogo does not license. The homepage states 500 million-plus documents, and the Expert Insights page states 300,000-plus transcripts with 8,000-plus added monthly, both as of August 28, 2026. Work Products, launched July 14, 2026, adds PowerPoint and Excel assistants and presentations of up to 40 pages from a single prompt, and the May 2026 product updates added 13 agents including Precedent Transaction Review and Industry Primer. Our AlphaSense vs Hebbia vs AllMind AI comparison goes deeper.

Where it falls short: the deal desk still assembles the pitch elsewhere. The Generative Grid is capped at 400 documents by 12 prompts per grid, and the connectors named are SharePoint, Box, Google Drive and Egnyte with no Snowflake or Databricks route. Pricing is quote-only; Vendr's median contract was a third-party estimate of $17,500 a year as of February 2026.

Hebbia: documents and data rooms

Hebbia is a document-analysis platform whose Matrix product runs prompts across large document sets, strongest in private equity, credit and banking data rooms.

Where it wins: the file-heavy diligence job. Matrix 2.0, announced August 26, 2026, extends Matrix to workflows over deal history, internal systems and external feeds that deliver the final models, memos, decks and emails, with a checkpoint for a person to sign off before the next step runs. Snowflake has been available inside Hebbia since July 8, 2026, and Preqin private-markets data since December 2025.

Where it falls short: it brings little market data of its own, so the universe is whatever the team loads or connects. Max, the agent that returns finished slides, reports or models, is rolling out to a small set of firms first per the July 30, 2026 announcement. Pricing is unpublished; the roughly $10,000 per seat figure is a third-party estimate from January 2026.

S&P Capital IQ Pro with Farsight: the deck inside the data

S&P Capital IQ Pro is the data terminal most banks already run, and Farsight is the deliverables platform S&P is adding to it.

Where it wins: the deck never leaves the licensed data. On July 23, 2026 S&P Global Market Intelligence announced a partnership with, and minority investment in, Farsight, a platform for client-ready pitch decks, CIMs and valuation materials, to be delivered as a Capital IQ Pro add-on later in 2026. S&P also acquired Drift AI, an Excel modeling tool (March 12, 2026), and Adaptive Retrieval (July 21, 2026) lets a firm's own agents assemble licensed S&P data by natural-language query. Our Capital IQ alternatives page covers the terminal side.

Where it falls short: Farsight had not shipped as of August 28, 2026 and no add-on price has been published, so a 2026 budget rests on a date S&P states only as later this year. Broker notes from other houses, expert transcripts and the bank's own warehouse stay outside the workflow.

Daloopa: the model-update layer

Daloopa is an AI fundamental-data provider that delivers source-linked model updates into Excel.

Where it wins: the numbers under the deck. Daloopa states 6,000-plus public companies, 14 years of history and 185-plus institutional clients on its homepage as of August 2026, with every datapoint linked to the filing it came from. Its MCP connectors put that data inside ChatGPT (December 9, 2025), Perplexity (April 30, 2026) and Microsoft 365 Copilot (June 25, 2026), and Rogo itself lists Daloopa among its data sources.

Where it falls short: it is a data layer, so it complements Rogo without replacing it. There is no deck, memo, monitoring or diligence product, the Free plan is capped at 3 data sheets, paid tiers are quote-only, and the company's two-hours-per-ticker saving claim carries no denominator.

Model ML: deliverables from your own systems

Model ML is a finance-agent platform that works inside Excel, PowerPoint, Outlook, its own app and a firm's systems, aimed at banks, consultancies and funds.

Where it wins: template and brand fidelity from data the firm already owns. Its blog index shows Office and Teams plugins (July 18, 2026), MCP support (July 21, 2026), Claude Opus 5 (July 24, 2026) and a post on financial data connectors and MCP (August 3, 2026), plus an HSBC Asset Management investment announced August 11, 2026. Its named products are Workflows, Grids, Document Review, Chat, Notetaker and Agentic Dashboards.

Where it falls short: it ships no market data, broker research or expert content of its own, so everything it surfaces comes through subscriptions the firm already holds. No customer counts are published, and pricing is quote-only.

Microsoft 365 Copilot: the tool the bank already licenses

Microsoft 365 Copilot is the assistant inside Excel, PowerPoint, Word, Outlook and Teams, listed at $30 per user per month on top of a Microsoft 365 license.

Where it wins: it is already approved by IT. On June 25, 2026 Microsoft shipped Copilot in Excel finance skills, including @comps-analysis, @deal-screening and @model-update, with six data connectors from CB Insights, Daloopa, FactSet, Morningstar, PitchBook and S&P Global. Rogo announced itself as one of the first launch partners for that release on June 26, 2026, so Copilot is where Rogo's output meets the bank's spreadsheet.

Where it falls short: there is no entitled research content, no coverage or deal workflow of its own, and the finance connectors read vendor data the firm separately licenses. The evidence, the memo and the monitoring still come from one of the platforms above.

What is the difference between Rogo and AlphaSense?

Rogo generates the work product and AlphaSense supplies the content, and most banks that run one also run the other. Felix builds decks, models and memos from the providers Rogo lists, and Deal Room has managed the transaction around them since August 6, 2026. AlphaSense searches and monitors a library it licenses itself, and its Work Products of July 14, 2026 push findings into PowerPoint and Excel.

Choose Rogo when the output is the deliverable in the bank's template, and AlphaSense when the job is finding what a broker, an expert or a filing said. AllMind AI fits when the two jobs are one workflow that also reads the firm's warehouse and keeps watching the names after the deal.

How much does Rogo AI cost?

Rogo does not publish pricing, rogo.com/pricing returned a 404 on August 28, 2026, and the only figure in circulation is Sacra's estimate of around $3,300 per seat annually. Treat it as directional: the Sacra page still shows the January 2026 Series C as the latest round, and Forbes reported more than $15 million of revenue and 25,000-plus users in April 2026, which implies a lower blended figure per user. Three signals matter more when you budget.

• Usage is metered. Credit Center, introduced June 22, 2026, exists to help institutions manage and predict AI spend, so a contract carries a credit pool as well as seats.
• Seat counts move the blended price. Rogo stated 35,000-plus professionals at 250-plus institutions at the April 2026 raise and 50,000-plus at 350-plus on rogo.com by August, so ask what seat count the estimate assumes.
• The funding stack sets expectations. A $75 million Series C led by Sequoia in January 2026 was followed by a $160 million Series D led by Kleiner Perkins on April 29. The $2 billion valuation attached to it was reported by Bloomberg and others, never stated by Rogo.

AllMind AI is quote-based on enterprise and per-seat terms, with no dollar figure published.

What AI tools do investment bankers use in 2026?

Bankers use Rogo for the deck, Copilot inside Excel and PowerPoint, Claude or ChatGPT for drafting, AlphaSense for research, and the terminal they already had. The only quantified adoption data is Rogo's own survey of 12 investment banks, published August 13, 2026. In it, 67% of firms graded their AI transformation a C and none an A, and 64% named change management the biggest unsolved issue.

• Rogo for pitch books, models and memos; Bloomberg reported on August 26, 2026 that it has made Singapore its Asia-Pacific hub.
• Microsoft 365 Copilot for the comps, deal-screening and model-update skills in Excel since June 25, 2026.
• Claude for Financial Services, with comps, DCF and teaser skills since October 27, 2025 and a pitch-builder template since May 5, 2026; OpenAI shipped Codex finance plugins on June 2, 2026.
• AllMind AI on the research side of the bank, where the sell-side desk needs the overnight wire sweep and the quarterly note in the published format; see our guide to AI tools for sell-side equity research.

When to stay with Rogo

Stay with Rogo when the output is the pitch book or the CIM, the bank's template is the standard, and the desk lives in Deal Room.

• A coverage group producing 20 or more pitch decks a quarter in a fixed house format. Felix builds in that template; every alternative here needs a formatting pass.
• A sponsor or sell-side team running diligence inside the data room. Rivanna's data-room querying, folded into Felix in August 2026, is a layer AllMind AI does not offer.
• A bank standardized on Rogo with Copilot in Excel. The June 2026 launch partnership means the deck-to-spreadsheet handoff is built.

The matrix below is the decision tool: pick the output type, then read across for the tool that carries its inputs.

The initiation and the standing monitor are the rows where a Rogo shop adds a second system; see our guide to AI initiating coverage reports. If the pitch deck is the only output you need, read our AI stock pitch decks piece first.

Frequently Asked Questions

What are the best Rogo alternatives?

It depends on which of Rogo's jobs you are replacing. AllMind AI covers living coverage across public companies, the firm's own warehouse and entitled content, and drafts the memo, comps and deck from cited sources. AlphaSense replaces the content layer with 500 million-plus documents and 300,000-plus expert transcripts. Hebbia and Model ML replace the document and deliverable layer, Capital IQ Pro with Farsight keeps the deck inside S&P's data, and Daloopa feeds the model.

How much does Rogo AI cost?

Rogo publishes no price and rogo.com/pricing returned a 404 on August 28, 2026, so every number you will see is an estimate. Sacra puts a seat at around 3,300 dollars a year, a directional figure on a page that still shows the January 2026 round as the latest. Rogo introduced Credit Center on June 22, 2026 to help institutions manage and predict AI spend, which signals usage-metered credits on top of the contract. Get a written quote with the credit terms before budgeting.

What is the difference between Rogo and AlphaSense?

Rogo is an AI analyst for banking and private-markets deliverables: its Felix agent builds decks, models and memos, and Deal Room, launched August 6, 2026, manages the transaction itself. AlphaSense is a search and monitoring platform over a content library it licenses, with Work Products since July 14, 2026 to push findings into PowerPoint and Excel. A bank typically runs both: AlphaSense finds the evidence and Rogo assembles the pitch.

What AI tools do investment bankers actually use?

In Rogo's own survey of 12 investment banks, published August 13, 2026, two-thirds of firms said most managing directors use AI weekly, and 67 percent graded their AI transformation a C. The stack behind that is Rogo for the deck, Microsoft 365 Copilot in Excel with the finance connectors of June 25, 2026, Claude for Financial Services for drafting, and AlphaSense for research. The data still comes from a terminal such as Capital IQ Pro or FactSet.

Does AllMind AI build pitch books and CIMs like Rogo?

AllMind AI drafts investment memos, comps analyses, company primers, Word memos, decks and Excel model scaffolds with pre-built formulas, each claim cited to its document. It does not carry a deal-room or transaction-management layer, and a deliverable lands in a supplied or house template, so a bank with a strict format standard still runs a formatting pass. For a pitch-book factory, Rogo is the purpose-built tool; for the research that feeds it and the coverage after the deal, AllMind AI is the deeper system.

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.