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OutSystems

Also known as: OutSystems Agent Workbench, OutSystems Mentor, Agentic Systems Platform

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Agent builderindependentVerified 2026-07-07

Enterprise AI powered low code platform whose Agent Workbench lets teams build, test, orchestrate, and govern custom AI agents on top of existing systems, with broad model flexibility, an Enterprise Context Graph, a golden dataset evaluation suite, sovereign deployment control, and built in observability.

OutSystems, based in Boston with roots in Portugal, is a leading AI powered low code platform that has repositioned itself as an Agentic Systems Platform for building, orchestrating, and governing AI agents alongside applications. Founded in 2001 and now led by chief executive Woodson Martin, it is a large, privately held enterprise vendor whose network spans more than sixty million end users, over five hundred partners, and customers in more than seventy five countries. Its thesis is that the enterprise AI race is not won by faster experiments but by trusted, governed agentic systems that scale, and that low code is the fastest path from pilot to production without adding tool sprawl.

The platform pairs two AI pillars. OutSystems Mentor is an AI partner that accelerates the whole software lifecycle, generating, delivering, and monitoring applications, while Agent Workbench, generally available since late 2025, is an end to end low code environment for building and orchestrating custom AI agents, already with thousands of agents in development across a community of certified builders. Agent Workbench brings three capability sets together: model and data integrations that let teams connect a model once and reuse it, with broad support spanning Anthropic, Azure OpenAI, Bedrock, Gemini, Mistral, Databricks, watsonx, and open source options and the ability to hot swap models to optimize cost and quality without rewiring; full agent lifecycle management to build, test, deploy, and monitor with low code and the context of the whole app portfolio; and multi agent orchestration through a visual, drag and drop interface. It grounds agents in an Enterprise Context Graph, enforces guardrails and granular access controls, tracks agent reasoning, quality, and cost with built in observability, and includes an Evaluations feature that tests agent logic against a golden dataset with an automatic judge before anything reaches production.

OutSystems is a mature, enterprise proven platform whose strengths are unusually broad for an agent builder: strong model flexibility, sovereign and hybrid deployment control over where agents run and data resides, a genuine agent evaluation suite, and deep governance, and it does not itself drive a browser. It targets the problem of agent sprawl by putting agents, apps, humans, and workflows under one governed platform. For an enterprise that wants to build many custom agents on top of its existing systems with security, model choice, and lifecycle control, without stitching together point tools, OutSystems is a strong and category leading fit; a small team wanting a quick single agent, or a purely code first framework, will find it an enterprise platform built for scale and governance.

Vendor details

Canonical URL

https://www.outsystems.com

Category

Agent builder

Subcategory

Enterprise low-code platform for building and orchestrating AI agents

Funding status

Independent and privately held, headquartered in Boston with engineering roots in Portugal, founded in 2001 and led by chief executive Woodson Martin. OutSystems is a large, enterprise proven low code vendor backed by major private investors, whose network spans more than sixty million end users, over five hundred partners, and active customers in more than seventy five countries across twenty plus industries. It launched Agent Workbench into general availability on September 30, 2025, reporting more than five thousand five hundred agents in development, and unveiled its Agentic Systems Platform powered by the Enterprise Context Graph at its 2026 ONE conference, and it is named a Leader in the G2 2026 AI Agent Builder Grid.

Company status

independent

Use cases & customers

Primary use cases

custom AI agent developmentmulti agent orchestrationagent lifecycle and governancelegacy system modernization with AI

Target customers

large enterprises and IT organizationslow code and platform development teamsregulated and sovereignty sensitive industries

Deployment options

cloudhybridsovereign cloudself managed

Integrations

OutSystems connects agents to APIs, databases, ERP, CRM, and legacy systems through prebuilt connectors and extensible services, wrapping and extending core systems without rip and replace. Agent Workbench connects a model once for reuse across agents, with broad support for Anthropic, Azure OpenAI, Bedrock, Gemini, Cohere, Mistral, Databricks, IBM watsonx, Vertex AI, and Hugging Face, and the platform works with agentic coding tools including Claude Code, Codex, and Kiro.

In practice

Different teams are spinning up fragmented AI agents with no shared governance, creating sprawl, security gaps, and stalled pilots. OutSystems Agent Workbench puts every agent, app, and workflow under one governed platform with access controls and observability.

You want custom agents deeply wired into your ERP, CRM, and legacy systems, but coding them from scratch is slow and risky. OutSystems lets teams build and orchestrate agents visually on low code, grounded in your enterprise context and connected through prebuilt integrations.

You cannot put an agent in front of users without proving it works. OutSystems Evaluations tests your agent logic against a golden dataset with an automatic judge, so you see whether a prompt or tool change improved or broke behavior before deploying.

Sources & related URLs

Research notes

Added via Crunchbase agentic discovery CSV, enriched full fidelity 2026-07-07. Categorized Agent builder on the low code agentic systems platform, Multi-agent platform secondary. Batch high under straight scoring on model flexibility (Model F, many providers, hot swap), sovereign and hybrid deployment (Dep F), and a genuine golden dataset evaluation suite (Eval F). Independent; large privately held enterprise vendor, founded 2001.

Capability coverage

12.0 / 14 capabilities · 86%

Integrations & Tool CallingConnects agents to APIs, databases, ERP, CRM, and legacy systems through prebuilt connectors, wrapping and extending core systems, and works with coding tools like Claude Code and Codex, OutSystems docs 2026-07-07 Full
Workflow OrchestrationBuilds and orchestrates multi agent workflows and patterns through a visual drag and drop interface, coordinating agents, apps, humans, and workflows in one place, OutSystems docs 2026-07-07 Full
Knowledge Grounding & RAGGrounds agents in an Enterprise Context Graph and structured and unstructured enterprise data, interpreting real time context from user input, system state, and history, OutSystems docs 2026-07-07 Full
Human Oversight & GuardrailsProvides built in human oversight with low code guardrails for security, behavior, and ethics, strict access controls, and human and AI collaboration, OutSystems docs 2026-07-07 Full
Security, Identity & GovernanceDelivers enterprise grade governance with granular access controls, auditing, guardrails, and DevSecOps to run agents safely and predictably at scale, OutSystems docs 2026-07-07 Full
Observability & AuditabilityTracks agent reasoning, response quality, and costs in real time with built in observability, full execution traces, and single view portfolio management, OutSystems docs 2026-07-07 Full
Memory & State PersistenceGrounds agents in historical interactions and an Enterprise Context Graph for stateful context, though a distinct persistent agent learning memory is not the emphasis, OutSystems docs 2026-07-07 Partial
Deployment & Data ResidencyOffers flexible hybrid and sovereign cloud deployment with control over where agents run and where data resides for regional, industry, and sovereignty requirements, OutSystems docs 2026-07-07 Full
Prebuilt Agents, Templates & PacksProvides reusable low code building blocks, prebuilt connectors, and agent templates and patterns, with thousands of agents built across its community, OutSystems docs 2026-07-07 Full
Triggers & Channel CoverageInvokes agents across apps, workflows, and events on the platform, though a dedicated broad real time or multi channel agent trigger framework is not the emphasis, OutSystems docs 2026-07-07 Partial
Model Flexibility & RoutingConnects a model once for reuse across agents with broad support for Anthropic, Azure OpenAI, Bedrock, Gemini, Mistral, Databricks, and open source, and hot swaps models to optimize cost and quality, OutSystems docs 2026-07-07 Full
APIs, SDKs & MCP ExtensibilityCombines low code and high code extensibility with APIs, custom connectors, the ability to integrate any model, system, or data, and support for external coding agents, OutSystems docs 2026-07-07 Full
Testing, Debugging & OptimizationIncludes an Evaluations feature that tests agent logic against a golden dataset of inputs, expected outputs, and tool calls, with an automatic judge and full execution traces, OutSystems docs 2026-07-07 Full
Browser & Computer UseBuilds and orchestrates business agents rather than driving a browser or operating a computer interface as a first class capability, OutSystems docs 2026-07-07 Unable to verify

Recent platform changes

No recent material changes tracked yet.

Pricing

Free tier to start building; production enterprise pricing quoted, scaled to applications, agents, users, and environments

enterprise engagement scaled to applications, agents, users, and environments

Contact onlyHigh variable costFree tierTrial available

What is public

A free tier to start building is public, but production enterprise pricing is quoted through direct engagement rather than listed.

Billing mechanics

A free tier to start, then enterprise engagement scaled to applications, agents, users, and environments, with AI model usage adding inference cost, though production rates are not disclosed.

Cost watchouts

Enterprise pricing scales with applications, agents, users, and environments, and AI model usage adds inference cost, so production deployments grow well beyond the free tier.

Variable cost rationale

Enterprise pricing scales with applications, agents, users, and environments, and agents add AI model inference cost, so total cost grows with the size of the agentic footprint.

Additional watchouts

Confirm how the platform prices applications, agents, users, and environments, and factor in AI model inference cost, since the free tier does not reflect production scale.

Sales call required

Mixed (some tiers require a call)

Free / trial

Free tier available to start building agents; enterprise pricing quoted

Key ambiguities

A free tier is public, but production enterprise pricing is not listed and depends on applications, agents, users, environments, and AI usage.

Verified 2026-07-07

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