Description
Upsonic is an enterprise AI platform for turning operational workflows into AI agents. It focuses on regulated industries, banking, fintech, insurance and manufacturing among them, where accuracy, auditability and control matter as much as automation.
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At the center of the platform is AgentOS, the infrastructure Upsonic uses to run, observe and improve agents in production. AgentOS is framework- and language-agnostic: a business can bring agents already built with IBM, LangChain or its own tooling and put them under the same production layer instead of rebuilding them. It handles tracing, so a team can see which tools an agent used and why, evaluation against benchmark test cases, and deployment.
Upsonic emphasizes governance alongside automation. Teams can restrict which tools, data and actions an agent can access, apply guardrails to protect personal information and detect prompt injection, and set human-in-the-loop checkpoints so an agent escalates decisions that need a person's approval, with every action logged for an audit trail. On the testing side, AgentOS evaluates not just an agent's final answer but the path it took, tool calls, retrieved evidence and OCR fields among them, and re-tests agents against the same benchmarks whenever a prompt, model or agent version changes.
Upsonic has built agents for tasks such as merchant onboarding and KYB checks, underwriting, financial-statement analysis, transaction reconciliation and customer communication. It connects to Slack, Microsoft Teams, Google Drive, SharePoint and Salesforce, and to internal systems through MCP, APIs or custom tools, with scoped permissions per agent. The company also maintains an open-source agent framework that it says has passed 1 million downloads and 8,000 GitHub stars.
Upsonic positions itself for enterprises, particularly regulated financial and operational teams, and pairs the software with Forward Deployed Engineers who work with a client's teams from discovery through deployment and ongoing improvement. Pricing isn't published; Upsonic sells through a demo and sales conversation rather than self-serve sign-up.
- CategoryAI Agent Builders
- Pricing ModelContact sales
- DeploymentSelf-hosted, VPC, On-premise
- PlatformsWeb
Upsonic's Core Features
AgentOS production layer: tracing, evaluation and deployment for AI agents
Framework- and language-agnostic: works with agents built on IBM, LangChain or custom stacks
Guardrails for PII protection and prompt-injection detection
Human-in-the-loop checkpoints with immutable audit trails
Automated regression testing of agents across prompt, model and version changes
Prompt and context caching to reduce repeated processing cost
Prebuilt agent workflows for merchant onboarding, underwriting and reconciliation
Integrations with Slack, Teams, Google Drive, SharePoint, Salesforce, MCP and custom APIs
Open-source agent framework (1M+ downloads, 8,000+ GitHub stars)
Forward Deployed Engineer support for implementation
How to use Upsonic?
Book a demo: Talk with Upsonic's team about the workflow you want to automate.
Define the workflow: A Forward Deployed Engineer helps map the process and requirements.
Build or bring an agent: Use Upsonic's agent framework, or connect an agent already built elsewhere.
Set guardrails: Configure which tools, data and actions the agent can access, plus human-approval checkpoints.
Deploy on AgentOS: Run the agent in production with tracing and evaluation turned on.
Monitor and improve: Review traces and test results, then update the agent as workflows change.
Upsonic's Use Cases
- Merchant onboarding
- Underwriting
- Reconciliation
- Financial analysis
