Runtime vs Rogo
Runtime is the agent harness for payment and fintech operations teams. Rogo is an AI research platform for bankers and investors. Compare users, data, actions, and deployment.
TL;DR: Runtime is the stronger choice for operations: agents that work payment, risk, and compliance queues inside your cloud and take actions with approvals. Rogo is a leading research platform for investment banks and investors.
| Feature |  Runtime |  Rogo |
|---|---|---|
| What it is | Agent harness for payment and risk ops | AI research platform for finance |
| Users | Payment ops, risk, compliance, support, finance | Bankers, investors, analysts |
| Premium market data | Connect your own sources | Built-in partnerships (LSEG, FactSet, S&P) |
| Works your internal systems | Ledger, processor, bank files, tickets | Research data and documents |
| Takes actions with approvals | Yes: replies, reserves, releases | Produces research outputs |
| Runs in your cloud | Yes, or fully self-hosted | Hosted platform |
| Each agent gets its own computer | Yes | No |
Rogo and Runtime at a glance
Rogo is an AI platform for global finance. Bankers and investors at firms like Rothschild, Jefferies, and Lazard use it for research: company profiles, comps, CIMs, pitch material, and diligence, backed by data partnerships with LSEG, FactSet, S&P Global, and PitchBook.
Runtime is the AI agent harness for payment teams. From payment ops to risk, compliance, and support, anyone on the team can build agents that work their queues on their own computers inside your cloud, called from Slack, Teams, email, SMS, or voice, with approvals and a full audit trail.
Rogo is for the front office: bankers and investors producing analysis. Runtime is for the back office: the teams that keep money moving.
How they differ
Research outputs versus operational actions
Rogo's output is research: a profile, a comp set, a memo, a deck. Runtime agents work queues and take actions, such as replying to a merchant, applying a reserve, or releasing a payout, each one approved by a person first. The output is a resolved case with the evidence attached.
Market data versus your internal systems
Rogo's strength is premium market data through its partnerships. Runtime agents work in your own systems: the ledger, the processor, bank files, and tickets, plus portals with no API through a browser on the agent's own computer.
One platform across the back office
A single stuck payment touches support, payment ops, finance, and risk or compliance, and each team usually investigates it separately. Runtime gives them one investigation and one record. Teams start with one sharp use case and add agents for the next team on the same harness.
Data and models in your cloud
Runtime agent computers run in your AWS, GCP, or Azure account, or fully self-hosted, with any model you choose. Card numbers and SSNs are stripped from prompts and logs, and every run is recorded for your auditor or sponsor bank.
Where Rogo is stronger
- Premium market data. Built-in partnerships with LSEG, FactSet, S&P Global, and PitchBook.
- Banker and investor workflows. Profiles, comps, CIMs, pitch material, and diligence.
- Front-office references. Used at firms like Rothschild, Jefferies, and Lazard.
- Document outputs. Built to produce memos and decks, not just answers.
Which should you choose
Choose Rogo if
- Your users are bankers, investors, or analysts doing research
- You need premium market and company data built in
- Outputs are documents: profiles, comps, memos, decks
- The work is front-office analysis, not back-office operations
Choose Runtime if
- Your users are payment ops, risk, compliance, finance, or support teams
- Agents need to work your ledger, processor, and bank data
- Agents should take actions, with approval before money moves
- Data and models have to stay in your cloud
See Runtime on your busiest queue
Bring one SOP. A forward-deployed AI engineer builds the first agent with your team, inside your cloud.
Frequently asked questions
What is Rogo used for?
Bankers and investors use Rogo for research: company profiles, comps, CIMs, pitch material, and diligence, backed by data partnerships with LSEG, FactSet, S&P Global, and PitchBook.
Is Rogo good for fintech operations teams?
Rogo is built for front-office research, not back-office operations. Payment ops, risk, compliance, and finance teams working held payouts, returns, disputes, and recon breaks are better served by an agent harness like Runtime.
What is the difference between Rogo and Runtime?
Rogo produces research outputs from market data and documents. Runtime agents work operational queues across your ledger, processor, bank files, and tickets, and take actions like replies, reserves, and releases after a person approves.
Can Runtime run in my own cloud?
Yes. Runtime agent computers run in your AWS, GCP, or Azure account, or fully self-hosted, with any model you choose, including open-weight models in your cloud.
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