Rogo provides an AI platform built for finance that uses autonomous agents and a finance‑tuned large language model to automate end‑to‑end deal and investment workflows. The system integrates with enterprise tools such as SharePoint, Salesforce, Bloomberg and internal data lakes to generate auditable Excel models, investment memos and diligence decks, storing outputs in a secure, compliance‑ready environment.
Funding
Funding not disclosed
Founders
Product
Problem
Financial institutions rely on labor-intensive, multi-step processes to build models, draft investment memos, and assemble diligence materials. Existing generic AI tools lack the domain expertise and integration depth needed to automate these high‑stakes workflows reliably. Consequently, analysts spend excessive time on repetitive tasks, limiting capacity for higher‑value analysis.
Solution
Rogo delivers an AI platform engineered specifically for finance, deploying autonomous agents that can interpret and execute end‑to‑end deal and investment workflows. The agents are built on a finance‑tuned large language model and are embedded directly into enterprise systems such as SharePoint, CRM, market‑data feeds, filing repositories, and proprietary databases. By orchestrating data retrieval, calculation, and document generation, the platform produces auditable Excel models, investment memos, diligence decks, and slide presentations that meet institutional standards. All outputs are stored in a secure, compliance‑ready environment and can be accessed through a web dashboard or API for downstream integration. The deployment is customized per firm, combining enterprise‑grade security with a partnership approach that aligns the AI behavior with existing governance policies.
Target Audience
Primary customers are investment banks, private equity firms, asset managers, and corporate finance groups that require automated, high‑quality financial analysis and documentation at scale. The solution also serves compliance and risk teams that need auditable, traceable outputs integrated with existing enterprise systems.
Features
- Finance‑specific LLM trained on market data, regulatory filings, and historical deal documentation
- Autonomous agents that orchestrate data ingestion, quantitative modeling, and narrative generation without manual prompting
- Native connectors to SharePoint, Salesforce, Bloomberg, FactSet, and internal data lakes for real‑time information access
- Generation of fully auditable Excel workbooks and version‑controlled investment memos compliant with internal audit trails
- Role‑based access control and end‑to‑end encryption meeting industry security standards (e.g., SOC 2, ISO 27001)
- White‑glove deployment model with custom configuration, change‑management support, and ongoing model tuning
- RESTful API and SDK for embedding AI‑driven outputs into existing workflow tools and downstream analytics platforms
- Scalable cloud infrastructure that handles high query volumes while maintaining low latency for interactive use