BlueFlame AI vs Hebbia (2026)
A deal team weighing BlueFlame AI against Hebbia is deciding whether its AI should come from its data room provider or from a separate platform that reads every source it holds. BlueFlame is part of Datasite. Its agent sits inside Datasite projects. Since October 2026 it has also run inside Grata Intelligence, Datasite's workspace for private company data. The agent, Amp, takes tasks from the inbox, audits Excel models and can write updates back to Snowflake. Bankers, private equity firms and private credit lenders use it for meeting briefs, sourcing screens and data room readiness reports. Hebbia treats Datasite and Intralinks as two sources among many, beside SharePoint, Box and data from FactSet, PitchBook and Fitch. It reads them and writes nothing back. Investment firms, banks and law firms use it to question large document sets and turn the cited answers into memos, decks and models. The two meet at the data room and the Excel model, and neither publishes a price. BlueFlame suits a firm already running its deals through Datasite that wants the agent to act on them. Hebbia suits a firm working across several room providers that wants one reader over all of them.
- One supplier should cover the data room and the agent. BlueFlame has been part of Datasite since 2025, so a firm on Datasite gets its data rooms and the AI that reads them from one company.
- Models need checking before they circulate. BlueFlame's Excel add in audits a multi tab model for formula errors, broken links and logic gaps.
- The agent should update your systems, not only read them. A managed MCP connection lets BlueFlame push changes back into Snowflake, and custom MCP connections reach a firm's own systems with each user's rights intact.
- Junior bankers carry most of your process work. BlueFlame gives them a page of their own, with tasks such as meeting briefs and a first screen of public comparables.
- Research notes live in Bipsync or Verity. BlueFlame lists both research management systems among its connections, along with Preqin for private markets data.
- Your deals run across more than one data room provider. Hebbia connects to Datasite and Intralinks alike, along with document stores such as SharePoint, Box and Snowflake.
- Your analysts already work in Microsoft Copilot, Claude or ChatGPT. An API and MCP server launched in October 2026 let Hebbia's research run inside those assistants.
- Staff access to client files must be tightly held. Hebbia states zero standing staff access, provisions users through SCIM, and lets customers see who accessed their data and when.
- Your lawyers want limits on model training in the contract itself. Hebbia's published master agreement allows model improvements only for the customer's own use.
- Procurement wants exit terms before signing. Hebbia's public data processing addendum describes hourly backups and commits to deleting customer data within 30 days after the contract ends.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. BlueFlame AI and Hebbia are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI FinTech Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| BlueFlame AI | Hebbia | |
|---|---|---|
| Primary category | Capital Markets & Research AI | Capital Markets & Research AI |
| Founded | 2023 | 2020 |
| Headquarters | New York, New York, United States | New York, New York, United States |
| Website | blueflame.ai | www.hebbia.com |
Side by Side
Select any grade to read the note behind it.
| Axis | B BlueFlame AI |
H Hebbia |
|---|---|---|
| AI Centrality | ||
| Autonomy and Oversight Model | ||
| Model Risk Management and Transparency | ||
| Operational and Outcome Evidence | ||
| AI Safety and Data Stewardship | ||
| GLBA and Data Privacy Posture | ||
| Security Certifications and Trust Center | ||
| Regulatory Status and Licensure | ||
| AI Governance and Bias Disclosure | ||
| AI Liability and Recourse | ||
| Model Supply Chain Disclosure | ||
| Core Systems and Integration Depth | ||
| Deployment Model and Data Residency | ||
| Commercial Transparency | ||
| Institution and Segment Coverage |
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
BlueFlame AI
-
Product / capability
Blueflame now runs inside Grata Intelligence, the agentic M&A workspace Datasite made available on 15 October, with direct access to Grata's private company data alongside firm knowledge and connected sources.
Source
Hebbia
-
Integration / interoperability
Hebbia added a Databricks integration that lets users ask plain language questions of a firm's own Databricks data, such as portfolio metrics, positions and fund performance, alongside documents, filings and market data.
Source -
Integration / interoperability
Hebbia now integrates with Octus through the Octus MCP Connector, which links every Octus product a firm subscribes to into Hebbia at once.
Source -
Product / capability
Hebbia's October 2026 release adds memory to Max, its agent, which stores and recalls context across conversations under user controls and an org level admin switch, version history with rollback for decks and docs made in Max, and a Microsoft Word plugin for running workflows and drafting inside Word.
Source
The short version of each
BlueFlame AI
BlueFlame AI builds Amp, an agent that takes on analyst and associate work across a deal, and the company has belonged to Datasite since 2025. Investment banks, private equity firms, private credit lenders and corporate development teams buy it. Amp breaks a task into steps and picks the models, skills and files each step needs. Bankers give it the preparation around a live sale, such as buyer lists and bid comparisons, and private equity teams use it for sourcing screens, diligence and portfolio monitoring. Teams reach it on the web and on mobile, send it tasks by email from Outlook, and use an Excel add in that also checks formulas. Datasite also sells it inside Grata Intelligence, a workspace launched in October 2026 around Grata's private company data. The evidence is light. BlueFlame and Grata together claim over 3,000 customers. Siguler Guff and Anchorage Capital Partners are quoted by name without figures, and BlueFlame's own speed and cost figures come with no test method. No price is published.
Source: AI FinTech Index, 2026
Hebbia
Hebbia is an independent AI research platform for investment firms, banks and law firms. Andreessen Horowitz led its $130 million Series B in July 2024. Teams point it at filings, data rooms and their own drives, and New Mountain Capital, 26North and Cleary Gottlieb are among the firms that use it. Each answer links back to the passage it came from. The Max assistant then turns that research into Excel models, decks and documents. Steve Scolnik, chief technology officer at Apogem Capital, credits Hebbia with taking diligence from 12 hours a day down to one or two. None of the case studies behind such figures carries a date. It lists SOC 2 Type 2 and ISO 27001, along with ISO/IEC 42001 for managing AI. What Hebbia leaves out is a price, and a retention period for customer data while a contract runs.
Source: AI FinTech Index, 2026
Common questions
How is BlueFlame AI different from Hebbia?
It comes down to whether the AI should come from your data room provider. BlueFlame AI is a Datasite company, so its agent works inside Datasite rooms and Grata Intelligence, on sell side processes and deal sourcing. Hebbia is a separate research platform. It reads Datasite and Intralinks rooms, firm drives and market data, then returns answers tied to their sources without changing those systems. BlueFlame's pages are written for bankers and for private equity and private credit teams. Hebbia serves investment firms and banks alongside law firms such as Latham & Watkins. A firm committed to Datasite gets BlueFlame from a supplier it already uses. A firm spread across room providers gets one Hebbia view across them. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified November 4, 2026. No vendor pays for placement.
How do junior bankers and associates use BlueFlame AI and Hebbia in Excel?
Junior bankers and associates meet BlueFlame AI inside the workbook they already have open. Its Excel add in builds and updates models there, and its answers come with citations. An associate can also email a task from Outlook and get a draft back to review. For Hebbia, the spreadsheet comes at the end of the research. Analysts work through filings and data room files in Hebbia first. Agents in Max, the assistant Hebbia rebuilt in July 2026, can then produce the Excel model, along with decks and documents. Neither BlueFlame nor Hebbia publishes an error rate for the financial models it produces. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified November 4, 2026. No vendor pays for placement.
What stops a wrong number from BlueFlame AI or Hebbia reaching a client deliverable?
Mainly the professionals who review it. BlueFlame AI's agent lays out each step it takes and pauses when a step calls for a person's judgment. Firms can build their own review steps into the skills they write, and BlueFlame reviews each custom connection before it goes live. Hebbia ties each answer to a preview of its source passage, and Matrix 2.0 holds its workflows for a person's sign off. Max's agents, by contrast, can run on their own, and administrators decide what Max remembers. Neither BlueFlame nor Hebbia describes a sampling check for large volumes of output. Neither publishes a commitment that covers a wrong figure. Hebbia's master agreement makes no promise of accuracy and caps liability at 12 months of fees, and BlueFlame's master agreement is not public. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified November 4, 2026. No vendor pays for placement.
What runs underneath BlueFlame AI and Hebbia, and how is deal data protected?
BlueFlame AI and Hebbia are both cloud services on AWS. Neither describes a version a firm can run on its own servers. BlueFlame keeps each client in its own environment and routes each task to the model it judges best suited, from providers such as OpenAI, Anthropic and Google. Hebbia can keep a firm's data and inference in European or American regions and can set up a dedicated tenant. Its data processing addendum names its language model suppliers and the hosts that run part of its inference, Cerebras, Baseten and Groq among them. The AI FinTech Index flags that Hebbia's Chat and Deep Research have run since April 2026 on a model Hebbia fine tuned for financial and legal work, and Hebbia does not name the base model beneath it. Hebbia rules out training its general models, or any provider's, on customer documents, prompts and outputs. BlueFlame's FAQ says firm data trains no AI model, while its privacy policy lists training BlueFlame's own models on account information and content as a legitimate interest. Hebbia's trust center shows its security reports only on request, and BlueFlame claims SOC 2 Type II with no report or trust center on offer.
Is there a published price for BlueFlame AI or Hebbia?
No. BlueFlame AI and Hebbia both keep their prices out of public view. Every route to BlueFlame starts with a demo request. Since October 2026 it can also be bought as part of Grata Intelligence, and Grata's pricing page sorts those packages by capability and team size with no figures. BlueFlame does not say whether a Datasite customer pays for it apart from the data room. Hebbia bills by named user license and judges fair use against the size of the customer. Its terms do not say whether a connection such as FactSet needs the firm's own data license. For either vendor, get the billing unit, any usage limits and the cost of data connections in writing. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified November 4, 2026. No vendor pays for placement.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Wealth & Advisory AI page.
BlueFlame AI and Hebbia both quote performance figures, and neither shows how they were measured. BlueFlame compares itself with a frontier model it does not name. Hebbia's 92% accuracy figure comes from an OpenAI customer story with no test set. Neither states a regulatory position for its product.
For BlueFlame, the open points to settle in writing are which regions its data residency option covers, who audited its SOC 2 Type II report and whether a prospective client can see it, and what its master agreement says when an agent's figure is wrong.
For Hebbia, they are how the model it fine tuned for Chat and Deep Research was tested, which parts of the company its ISO/IEC 42001 listing covers, and how analysis made in Hebbia should enter an adviser's or broker dealer's books and records.