- Specialization
- Not classified
- Business
Software Applicationsand 1 more business valuesLess
- Agent Tooling
- Market
- Cross Industry
- Ecosystem
- Agents
- Customers
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Agents
- Business
- Software Applications, Agent Tooling
- Specialization
- Not classified
- Market
- Cross Industry
- Customers
- Enterprises
- Delivery models
- Hosted Software
- Revenue models
- Subscription
- Listing status
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- Latest equity round
- Seed
- Reported funding amount
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About
Trace builds a workflow-orchestration platform for B2B and enterprise teams, especially nontechnical operations groups. It connects systems such as Slack, Jira, and Notion, builds shared operational context, and routes work between AI agents and human employees—differentiating it from standalone AI tools.
Market
Trace competes in AI-native workflow automation and enterprise workflow orchestration. It positions itself as an operational context layer that understands how a company works, builds an organizational knowledge graph, and routes each task to an AI agent or human rather than relying only on conventional app-to-app automation. Its differentiation is the combination of shared cross-system context, visual processes, and human-in-the-loop execution.
Trace targets modern B2B organizations and cross-functional teams with complex, repetitive workflows spanning tools such as Slack, Jira, and Notion. Its likely buyers are operations, IT, and AI-transformation leaders seeking to coordinate AI agents and human judgment across departments; the evidence does not specify a precise company-size segment.
At a Glance
Problem
Trace addresses the operational drag created when companies try to deploy AI agents across fragmented, human-led workflows. The company says teams can lose about 40% of productivity to repetitive work such as chasing updates, filling documents, coordinating departments, and handling support. The pain is not simply a lack of capable models: employees often do not know which tasks to automate, which agents to use, or how to provide the relevant context when information is scattered across workplace systems.
The core use case is back-office and cross-functional automation, especially client onboarding, account management, document processing, HR screening, and sales operations. In a typical onboarding workflow, for example, Trace can automate document extraction and routine updates while routing approvals, legal review, and relationship-sensitive work to the appropriate people. This targets the economic bottleneck of adding operational output without proportional headcount growth.
Product / Service
Trace is an AI orchestration layer and B2B SaaS workflow platform. It connects to systems such as email, Slack, Airtable, Jira, Notion, and internal knowledge sources, then builds a company knowledge graph of people, teams, projects, clients, tickets, and their relationships. Teams describe a process in plain English; Trace converts it into a visual workflow whose tasks have dependencies, inputs, outputs, statuses, and assignees.
AI agents execute the automatable tasks, while human tasks pause and notify the right person. Permissioning, audit trails, review and rerouting controls, and approval gates are designed to keep humans in charge of consequential decisions. The intended benefit is context-aware automation: agents receive the organizational information needed for each subtask rather than starting from scratch, and the system learns from repeated workflows to identify further automation opportunities.
Market
Trace competes in enterprise AI orchestration, workflow automation, and the emerging context layer for agentic work. Its differentiation is the combination of a company-wide knowledge graph, visual process orchestration, and human-in-the-loop execution rather than a standalone chatbot or a simple point-to-point automation tool. The competitive field includes Anthropic’s enterprise-agent initiatives and productivity platforms such as Atlassian Jira, which are adding their own AI agents; broader workflow and orchestration platforms are also adjacent alternatives.
Trace is an early but launched company, not merely pre-product. It launched through Y Combinator’s Summer 2025 cohort and announced a $3 million seed round in February 2026 from Y Combinator and other investors. The company reported more than 30 businesses using Trace and, in a later company update, more than 550 active workflows across its customer base. It also reported that roughly 10–14% of tasks were assigned to its agents at that stage, indicating meaningful early usage while the product was still expanding its agent suite, integrations, and upmarket enterprise footprint.
Founders & Leadership
Funding History
Y Combinator
Y Combinator
Recent News
Trace launched with $3 million in seed funding from Y Combinator, Zeno Ventures, Transpose Platform Management, Goodwater Capital, Formosa Capital, and WeFunder, with additional investment from angel investors. The company is developing workflow orchestration software that builds a knowledge graph from tools such as email, Slack, and Airtable, then delegates work between AI agents and human employees.
Trace announced its workflow automation platform, which connects to tools such as Slack, Jira, and Notion to identify automation opportunities and route tasks to AI agents or human workers. The launch post said more than 30 companies were already using Trace to automate repetitive work.
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Get notified when they postBusiness Model
Trace uses a SaaS subscription model with a free entry plan, paid Pro subscriptions, and an Enterprise offering for custom solutions. Its paid-subscription revenue is evidenced by the company reporting sales of 62 Pro subscriptions.