Auquan vs Rogo (2026)
Two agentic platforms for institutional finance, both candid that autonomy is the point, separated by what a reviewer can hold onto afterward. Rogo is the finance native analyst, named at the top of advisory from Rothschild to Nomura, with 35,000 professionals across 250 institutions. Numbers are grounded in retrieved data rather than model arithmetic, every claim carries a citation, and the model supply chain is documented in detail through engineering case studies with its own providers, OpenAI among them. Its agent goes further than analysis, committing work into the deal file and running outreach sequences to prospective buyers, with no approval gate described before either. Auquan is the workflow completer: credit prescreens, screening results, monitoring and sustainability reports executed independently end to end. Tier one names adopted it at seed stage, a global bank, a global insurer and one of the largest asset managers, and revenue tripled inside a year. Its gap is the mirror image: no citation mechanism, no review gate and no confidence signal are described anywhere. One shows its working; the other finishes the job.
- End to end execution is the purchase. Credit prescreens, diligence memos, screening results and sustainability reports completed as whole workflows rather than assisted steps, with revenue tripling in under a year on that thesis.
- Tier one adoption at seed stage validates the bet. A named global bank, global insurer and one of the largest asset managers, plus a quarter of the top 25 private equity firms, each survived diligence a young vendor rarely does.
- Regulated workflow reach matters. Know your business screening, ongoing monitoring and limited partner reporting sit inside the agent's scope, covering compliance production work Rogo's deal focus does not address.
- Traceability is your control requirement. Numbers grounded in retrieved data rather than model arithmetic and citations on every claim let a banker verify before relying, where Auquan describes no citation mechanism at all.
- The model chain is named. Engineering case studies with its providers, OpenAI among them, identify the cloud, the model family and the layered architecture, with named customers from Rothschild to Nomura and 35,000 professionals.
- Work lands where your deal lives. The agent commits output into spreadsheets, presentations and the data room itself, closing the workflow without re keying, integration depth Auquan's ingest only design does not attempt.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Auquan and Rogo 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
| Auquan | Rogo | |
|---|---|---|
| Primary category | Capital Markets & Research AI | Capital Markets & Research AI |
| Founded | 2018 | Not published |
| Headquarters | London, United Kingdom | New York, New York, United States |
| Website | www.auquan.com | rogo.com |
Side by Side
Select any grade to read the note behind it.
| Axis | A Auquan |
R Rogo |
|---|---|---|
| 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 |
The short version of each
Auquan
Auquan completes institutional finance workflows independently end to end: credit prescreens, screening results, monitoring and sustainability reports. Tier one names adopted it at seed stage, a global bank, a global insurer and one of the largest asset managers, and revenue tripled inside a year. According to the AI FinTech Index, no citation mechanism, no review gate and no confidence signal are described anywhere, so the buyer of finished work inherits the job of verifying it. Engagement separation between institutions on opposite sides of transactions is equally undescribed.
Source: AI FinTech Index, 2026
Rogo
Rogo supplies a finance native analyst named at the top of advisory from Rothschild to Nomura across 35,000 professionals and 250 institutions. It grounds numbers in retrieved data and cites every claim. According to the AI FinTech Index, it documents its model supply chain in detail through engineering case studies with its providers, OpenAI among them. Its agent goes beyond analysis, committing work into the deal file and running outreach to prospective buyers in live transactions, with no approval gate described before either. Engagement separation between institutions on opposite sides of the same deal is not described.
Source: AI FinTech Index, 2026
Common questions
Is Auquan better than Rogo for agentic finance work?
Both are candid that autonomy is the point, and they differ on what a reviewer can hold afterward. Rogo grounds numbers in retrieved data with citations on every claim, so its working is inspectable. Auquan executes credit prescreens, screening, monitoring and sustainability reports independently end to end with no citation mechanism, review gate or confidence signal described anywhere. One shows its working; the other finishes the job, and the choice is which property your supervision framework needs more. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 12, 2026. No vendor pays for placement.
How does the adoption evidence compare?
Rogo's is named at the top of advisory, Rothschild to Nomura, 35,000 professionals across 250 institutions. Auquan's is tier one adoption at seed stage, a global bank, a global insurer and one of the largest asset managers, with revenue tripling inside a year. Both are strong; Rogo's names are attributable and Auquan's are categorical. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 12, 2026. No vendor pays for placement.
Whose model supply chain is disclosed?
Rogo's, documented in detail through engineering case studies with its own providers, OpenAI among them. That gives a model risk function the fourth party answer it needs on day one. Auquan does not disclose its supply chain. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 12, 2026. No vendor pays for placement.
What autonomy controls are missing?
Rogo's agent commits work into the deal file and runs outreach sequences to prospective buyers in live transactions, with no approval gate described before either. Auquan's independent end to end execution carries no review step, confidence indication or thin evidence flag. The autonomy is the pitch at both, and the containment is the buyer's job at both. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 12, 2026. No vendor pays for placement.
What shared structural question applies?
Both serve institutions that routinely sit on opposite sides of the same transaction, and neither describes how engagement separation is enforced, which belongs in the supervision analysis before deployment at either. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 12, 2026. No vendor pays for placement.
Where does each publish the most, and the least?
Rogo publishes most on its citations and its model supply chain, and describes no approval gate before its agent acts and no engagement separation. Auquan publishes most on its adoption, tier one names at seed stage and revenue tripling inside a year. It describes no citation mechanism, review gate, confidence signal or engagement separation, and does not disclose its supply chain. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 12, 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 Capital Markets & Research AI page.
Both platforms serve institutions that routinely sit on opposite sides of the same transaction, and neither describes how engagement separation is enforced. Rogo's agent sends outreach to counterparties in live deals with no described approval gate, and Auquan's independent end to end execution comes with no review step, confidence indication or thin evidence flag; both belong in your supervision analysis before deployment.