Artian vs Rogo (2026)
The decision is buy the analyst or build the workforce, across a wide evidence gap. Rogo is the finished worker: a capital markets analyst named at the top of advisory, Rothschild, Jefferies, Lazard, Moelis and Nomura among more than 250 institutions and 35,000 professionals. It carries screening, memo drafting, data room diligence, model construction and buyer outreach end to end and commits the output back into the firm's own tools. Its model supply chain is published in detail through engineering case studies with OpenAI. Artian is the factory: a planner that reads your runbooks, standard operating procedures and business process graphs and generates hundreds of interconnected agents from them. A natural language builder serves business technologists, and orchestration places people inside the workflow graph. No customer is named anywhere; its proof is founders who ran AI and electronic trading at exactly the institutions it now sells to. The chasm runs both ways once oversight enters. Rogo is candid that autonomy is the point, and the candor cuts: work arrives already committed into the deal file, outreach goes to counterparties in live transactions, and no approval gate is described anywhere, so the buyer of the mature product inherits the job of containing it. Artian treats containment as the design, with approval points institutional and execution visible, and asks the buyer to trust machinery no named institution has yet evidenced in production. A firm that needs analyst capacity this quarter has one real option on this page. A firm automating its own documented operations on its own approval terms is looking at the other, and underwriting the youth.
- Your approval structure must survive adoption. Orchestration places people inside the workflow graph, approval points follow your own rules, and execution is kept visible and explainable, the containment property the finished analyst on this page does not describe.
- Your operations are documented and repetitive. The planner generates the agent population from runbooks, standard operating procedures and process graphs you already maintain, aimed at recurring first and second line incidents rather than deal work.
- Process owners extend it themselves. A natural language builder lets business technologists create agents alongside engineers, so coverage grows with the people who know the procedures.
- You need analyst capacity now, evidenced. Named adoption spanning Rothschild, Jefferies, Lazard, Moelis and Nomura, 35,000 professionals across 250 institutions, growth traceable through public material, and a major bank's growth arm among the diligencers.
- The workflow closes without re keying. Reading from data rooms, filings and deal databases such as S&P Global, FactSet and Crunchbase, then committing memos, models and materials back into spreadsheets, presentations and the deal room itself.
- The chain underneath is published. OpenAI as model provider, the layered architecture and which model does which job are disclosed through joint engineering case studies, with numbers grounded in retrieved data and citations on every claim.
This comparison is published by AI FinTech Index, an independent research platform that publishes independent ratings of AI vendors for financial services. Artian 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
Side by Side
Select any grade to read the note behind it.
| Axis | A Artian |
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
Artian
Artian builds the factory rather than the worker. A planner reads an institution's runbooks, standard operating procedures and business process graphs and generates hundreds of interconnected agents from them. A natural language builder serves business technologists, orchestration places people inside the workflow graph, and approval points are institutional by design. According to the AI FinTech Index, containment is the stated design and evidence the open question. No customer is named, no deployment result is published, and no model provider is disclosed beneath a claimed model risk governance framework. The planned agent exchange raises, in the company's own words, the question of who owns an agent generated from proprietary runbooks. A firm automating its own documented operations on its own approval terms is the natural buyer, and it is underwriting the youth.
Source: AI FinTech Index, 2026
Rogo
Rogo supplies the finished worker, a capital markets analyst named at the top of advisory: Rothschild, Jefferies, Lazard, Moelis and Nomura among more than 250 institutions and 35,000 professionals. It carries screening, memo drafting, data room diligence, model construction and buyer outreach end to end and commits output back into the firm's own tools. According to the AI FinTech Index, its model supply chain is published in detail through engineering case studies with OpenAI. Its candor cuts too: autonomy is the point, work arrives already committed into the deal file, outreach goes to counterparties in live transactions, and no approval gate is described anywhere. The buyer of the mature product inherits the job of containing it, and engagement separation between institutions on opposite sides of one deal is equally undescribed.
Source: AI FinTech Index, 2026
Common questions
What is the actual choice between Artian and Rogo?
Buy the analyst or build the workforce. Rogo is a finished capital markets analyst named at Rothschild, Jefferies, Lazard, Moelis and Nomura across 35,000 professionals. Artian is a factory generating agents from your own runbooks, with no customer named anywhere. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
How do the oversight postures invert?
Rogo is candid that autonomy is the point, committing work into the deal file and sending outreach to live counterparties with no approval gate described, so the buyer inherits containment. Artian treats containment as the design and asks the buyer to trust unevidenced machinery. The chasm runs both ways. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
Which vendor discloses its model chain?
Rogo, through joint engineering case studies that name OpenAI as provider and set out the layered architecture and which model does which job. Artian names no provider beneath a platform claiming built in model risk governance. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 2026. No vendor pays for placement.
What remains unpublished at both?
A security attestation, hosting arrangement, liability position, and any aggregate accuracy figure for the work the agents produce. Graded by AI FinTech Index against the same capability axes from each vendor's own published materials, verified August 23, 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.
The evidence chasm cuts both ways, so what is missing differs in kind. Rogo's references exist and what is missing is the control build. No approval gate is described before its agent commits work into the deal file or sends outreach to counterparties in live transactions.
The same platform serves institutions that routinely sit on opposite sides of one deal with no described engagement separation, and its open supply chain still leaves unstated what confidential deal content its model providers retain. Artian's controls are described and what is missing is a reference: no customer is named and no deployment result is published.
Its planned agent exchange extends, in its own words, eventually across institutions, raising who owns an agent generated from proprietary runbooks, and no model provider is named beneath a platform claiming built in model risk governance. Neither publishes a security attestation, hosting arrangement, liability position or aggregate accuracy figure for the work its agents produce.