Trace GTM brain

Trace orchestrates cross-department workflows by giving AI agents shared operational context and routing judgment calls to people.

category

AI workflow orchestration

market profile

  • text: Organizations struggle to take isolated AI agent experiments into end-to-end work across disconnected systems and teams.
  • text: Trace is positioning an operational context layer alongside workflow automation and human oversight.

personas

  • title: COO or business operations leader
    pains:
    • Client onboarding and approvals stall across departments
    • Teams lack shared visibility into owners, context and handoffs
  • title: AI transformation or automation lead
    pains:
    • Agent pilots lack the context needed for reliable execution
    • Technical teams become a bottleneck for workflow design

icp

  • text: Mid-sized enterprises with cross-functional workflows and several connected systems are a stated target.
  • text: Teams with repeatable onboarding, approvals or similar processes and meaningful human judgment requirements are plausible early accounts.

message pillars

  • text: Coordinate people and AI across the organization.
  • text: Carry context from operational processes into automation.
  • text: Improve collaboration by understanding handoffs.

objections

  • objection: Can agents act safely on sensitive processes?
    response: Start with a bounded workflow and explicit human approvals, then verify permissions and auditability before expanding.
  • objection: Will the tool connect to our existing agents?
    response: Confirm current integrations and SDK availability; the funding announcement described a third-party SDK as planned.

competitors

  • name: Prefect
    why: Workflow orchestration platform that can compete for automation work, with a more technical orientation.
  • name: LangChain
    why: Offers agent orchestration tooling for teams building AI workflows.

influencers

  • name: Tim Cherkasov
    url: https://www.linkedin.com/posts/timcherkasov_hey-everyone-big-news-we-just-activity-7360714023094411264-Nl5z
    why: Co-founder who publicly introduced the product and its workflow thesis.

keywords

  • AI agent workflow orchestration
  • human in the loop automation
  • enterprise AI context layer
  • cross functional workflow automation
  • AI agent task routing

voice

  • operational
  • ambitious
  • clear

signals

  • text: AI agent pilots are underway but lack process context or production adoption.
  • text: A company is redesigning cross-department onboarding or approval workflows.

pricing

model: unknown

motion

sales_led

channels

  • LinkedIn
  • X
  • press

confidence

medium

Founders

  • name: Tim Cherkasov
    title: Founder/CEO
    role: CEO
    bio: Co-founder and CEO of Trace. Former product manager at Copper, a digital asset custodian, where he delivered an institutional offering for State Street. Fintech background across hedge funds and scaleups as a data scientist. Built startups since 17 in retail tech, travel, and web3.
  • name: Artur Romanov
    title: Founder/CTO
    role: CTO
    bio: Co-founder and CTO of Trace. Former senior engineer at Deliveroo who built the grocery data-enrichment ML pipeline (millions of items, thousands of retailers). Multi-time founder; led backends in logistics and finance, and deployed workflow automation across engineering and ops.

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