- Specialization
- Not classified
- Business
- Agent Tooling
- Market
Software Developmentand 1 more market valuesLess
- Cross Industry
- Ecosystem
- Agents
- Customers
Developersand 1 more customers valuesLess
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Agents
- Business
- Agent Tooling
- Specialization
- Not classified
- Market
- Software Development, Cross Industry
- Customers
- Developers, Enterprises
- Delivery models
- Open Source, Hosted Software
- Revenue models
- Subscription
- Listing status
- Not classified
- Latest equity round
- Series A
- Reported funding amount
- Not classified
About
Sim builds an open-source AI workspace that enables technical teams to build, deploy, and manage AI agent workflows. Its differentiation is support for more than 1,000 integrations and major LLMs, with visual, conversational, and code-based workflow creation.
Market
Sim competes in the AI-agent platform and low-code workflow-automation market, combining visual workflow orchestration with major LLMs and a broad integration catalog. It positions itself as an open-source workspace that supports visual, natural-language, and code-based agent development, rather than only traditional task automation. Its differentiation is the combination of agent-specific building blocks, deployment and run-level tracing, self-hosting, and enterprise governance features such as role-based access, approvals, versioning, and audit trails.
Sim targets IT, operations, platform, engineering, and other technical teams at startups through large enterprises that want to build, deploy, and govern AI agents. Likely buyers include IT/platform leaders, engineering teams, operations leaders, and security or compliance stakeholders requiring access controls, approvals, versioning, and audit trails.
At a Glance
Problem
Sim targets the gap between conversational AI and software that can actually execute multi-step knowledge work. Teams need agents that can reason, plan, take actions, and operate across business systems, while conventional rule-based automation is poorly suited to variable, context-heavy tasks. The resulting economic pain is the human time and operational friction involved in moving information across a fragmented software stack. Sim’s clearest use cases are end-to-end workflows in research, operations, sales, and customer support, including document extraction, data entry, report generation, customer responses, content production, and cross-platform data synchronization.
Product / Service
Sim is an open-source AI workspace for building, deploying, and managing agents. Users can describe a system in natural language to Mothership, Sim’s conversational control plane, build it visually by connecting workflow blocks, or access it programmatically through an API. Agents can reason over files, knowledge bases, and tables; call tools and business applications; and expose completed workflows through an API, chat interface, or MCP server. The platform connects to more than 1,000 integrations and major model providers, including tools such as Slack, Notion, HubSpot, Salesforce, Gmail, databases, and search services.
The delivery model is both managed and flexible: teams can use Sim’s cloud-hosted service or self-host it with Docker Compose or Kubernetes, including local models through Ollama or vLLM. Logs, block-level execution history, staging-to-production workflows, and collaboration features are intended to make agent behavior reviewable and production-ready. Sim offers a free Community plan, paid plans beginning at $25 per month, and free self-hosting, while its core benefit is reducing the technical effort required to turn an automation idea into a testable, observable workflow.
Market
Sim competes in the AI-agent workflow automation and orchestration market, adjacent to no-code automation and developer workflow tools. Its most direct comparison set includes OpenAI AgentKit and n8n, while the broader alternative set includes Zapier, Make, and Gumloop. Sim differentiates itself by combining an open-source workspace, natural-language agent creation, visual workflow design, broad integrations, knowledge and data primitives, and deployment observability rather than treating AI as an add-on to simple app-to-app automation.
The company has meaningful early traction rather than appearing pre-product: Sim’s website claims more than 100,000 builders, YC reports more than 70,000 developers, and Standard Capital cited 17,000 GitHub stars and 60,000 developers on the platform in November 2025. Sim is YC-backed and raised a $7 million Series A led by Standard Capital in November 2025, with users reportedly ranging from YC startups to large enterprise and government teams. The available evidence does not disclose revenue, so its revenue status is best described as undisclosed rather than assumed to be pre-revenue.
Founders & Leadership
Funding History
Standard Capital
Recent News
Sim published a technical feature post describing secret provenance in agent runs. The post says Sim labels a secret when it is resolved into a running workflow and substitutes its exact value with the variable name as it moves through the run.
Sim’s HubSpot integration lets customers connect CRM data to AI agents and automated workflows that can read, reason over, and act on that data.
Sim Enterprise adds fine-grained access controls, single sign-on, audit logging, compliance features, and workspace forking on top of the Team plan.
Pulse2 reported that Sim.ai raised a $7 million Series A led by Standard Capital, advancing the Y Combinator-backed company’s agentic AI platform.
Active Roles
5Business Model
Sim uses a freemium SaaS model: users can start on a free plan, while paid Pro and Max subscriptions cost $25 and $100 per month respectively, with annual discounts. It also offers an Enterprise plan for larger organizations.