Runtime vs Rogo
Runtime is the agent harness for payment and fintech operations teams. Rogo is an AI research platform for bankers and investors.
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 |
Two different jobs
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 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.
Both are good products. The right one depends on the work you're trying to hand off.
Why payment teams choose Runtime
Built for money movement
Payment work is mostly exceptions: a held payout, an ACH return with an odd code, a dispute where the evidence contradicts the claim. Runtime agents reason through those cases on their own computers, across your ledger, processor, bank files, and tickets, and stop for a person before anything moves money.
Your data stays yours
Agent computers run in your AWS, GCP, or Azure account, or you self-host the whole platform. Card numbers, SSNs, and secrets are masked before any prompt or log, and you can serve open-weight models locally for PCI and PII work.
One harness for every team
Support, payment ops, finance, risk, and compliance all build on the same harness, so one stuck payment is one investigation, not four. Every run is stored with its evidence, approvals, and cost, ready when an auditor or sponsor bank asks.
An engineer, not an account executive
A forward-deployed AI engineer who has built payment infrastructure maps your processes, builds the first agents with your team, and sets up guardrails.
When Rogo makes sense
- 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
When Runtime makes sense
- You run payments, banking, or lending operations and the queue keeps growing
- The work needs judgment on exceptions, not just a fixed sequence of steps
- Card data or PII has to stay in your environment
- You need approvals on money movement and an audit trail your sponsor bank will accept
- You want one platform for every team that touches a transaction
See Runtime on your busiest queue
Bring one SOP. A forward-deployed AI engineer builds the first agent with your team, inside your cloud.