Thirdlayer GTM brain

category

market profile

• text: Enterprise workflows span communications, documents, CRM and human handoffs, leaving important context fragmented.
• text: Teams deploying agents need evaluations tied to their own policies and outcomes, plus ways to learn from failures.

personas

• title: Head of AI or platform engineering
  pains:

  • Agents lack current organization-specific context and permissions
  • Teams cannot confidently improve production agents without repeatable evaluation
• title: Revenue operations leader
  pains:

  • Customer commitments and deal updates are scattered across CRM, email and chat
  • Manual handoffs make next steps and approvals easy to miss
• title: Operations or customer success leader
  pains:

  • Processes contain exceptions and decisions that generic agents miss
  • Needs staff oversight and evidence before automating consequential work

icp

• text: Organizations building internal AI agents for cross-functional operations using multiple communications and business applications.
• text: Enterprise AI product teams seeking context and evaluation infrastructure for agents embedded in their own products.

message pillars

• text: Turn operational knowledge into production agents.
• text: Continuously evaluate systems using company-specific standards.
• text: Learn from operational outcomes over time.
• text: Retain control of the learning assets.

objections

• objection: How can agents act safely on permission-sensitive data?
  response: The site describes role-aware access and human approvals; review the actual access model and security architecture for the intended systems.
• objection: Why not just use our existing evaluation tool?
  response: Thirdlayer combines operational context, agent workflows and company-specific evaluation; compare the overlap with existing tools in a focused pilot.
• objection: Will the system work for our exceptions and decisions?
  response: Test on historical work and held-out cases, including approvals and failure scenarios, before expanding access.

competitors

• name: LangSmith
  why: Agent engineering platform with tracing and evaluation, overlapping the evaluation layer.
• name: Braintrust
  why: Agent evaluation and observability platform for teams improving AI systems.
• name: Langfuse
  why: Open-source agent tracing and evaluation alternative for technical teams.

influencers

• name: Regina Lin
  url: https://www.linkedin.com/in/reginaclin
  why: Thirdlayer cofounder and CEO posts about agent context and technical events.

keywords

• enterprise AI agent platform
• AI agent evaluation platform
• enterprise agent context
• AI agent continuous learning
• AI workflow automation
• agent regression testing

voice

• Technical and confident
• Operational and outcome oriented
• Forward looking

signals

• text: Company is moving AI agents from prototypes into production and needs evaluation and oversight.
• text: Operations teams are trying to automate workflows across CRM, email and collaboration tools.

stack

• Slack
• Gmail
• Notion
• Salesforce

hiring

• Platform Engineer
• Forward Deployed Engineer
• Product Engineer
• Research Scientist
• Research Engineer
• Software Engineer Intern

pricing

motion

channels

• LinkedIn
• technical events
• research content

confidence

Founders

• name: Regina Lin
  title: Founder/CEO
  role: CEO
  bio: Regina is the co-founder & CEO of Dex. She studied Mathematics with a concurrent master's in Computational Science at Harvard (dropped out). She previously co-founded Contour AI, a devOps tool for LLM evaluation, helped build the MVP an ecommerce marketplace with 40K+ customers and worked in various tech investment roles.
• name: Kevin Gu
  title: Founder
  role: Founder
  bio: Co-founder of Dex. Prev Math & Stat at Harvard, quant/ML researcher at Jump Trading, IBM Research, QuantCo, Meta.