Anchorhead GTM brain

category

market profile

• text: Agent teams need realistic, previously unseen tasks to distinguish capability gains from benchmark familiarity.
• text: Evaluation can support both development prioritization and evidence of value in enterprise sales.

personas

• title: Head of AI research or agent engineering
  pains:

  • Generic benchmarks miss failures in the actual research workflow
  • Internal teams lack time to source specialists and design unseen tasks
• title: AI product leader
  pains:

  • Cannot demonstrate agent quality on buyer-relevant work
  • Needs to prioritize fixes and justify model spend

icp

• text: AI product companies and frontier labs building agents for research or specialist workflows, regardless of size.
• text: Teams with a specific workflow to improve and enough iteration volume to benefit from repeated matched evaluation runs.

message pillars

• text: Ground evaluation tasks in domain expertise and real work.
• text: Find consequential failure cases to guide improvements.
• text: Make agent quality understandable to prospective buyers.

objections

• objection: We already run public benchmarks.
  response: Compare them with a small custom set based on the workflow customers actually buy; assess whether it reveals different failures.
• objection: Expert-created evals may not justify the cost.
  response: Start with one workflow and compare matched runs, including quality at lower model cost; commercial terms require discussion.

competitors

• name: Mercor
  website: https://www.mercor.com/enterprise-evals/
  why: Offers custom agent benchmarks and expert-driven enterprise evaluations.
• name: Confident AI
  website: https://www.ycombinator.com/companies/confident-ai
  why: Offers agent evaluation and production monitoring, an alternative route to measuring quality.

keywords

• AI agent evaluation
• custom agent benchmarks
• expert authored AI evals
• research agent benchmark
• domain expert evaluation
• agent failure analysis

voice

• direct and practical
• research-oriented
• outcome-focused

signals

• text: A company is launching a research agent and needs to demonstrate performance on unfamiliar tasks.
• text: An AI product team is evaluating cheaper models or trying to substantiate customer ROI.

pricing

motion

channels

• website
• Y Combinator directory

confidence

Founders

• name: Perbhat Kumar
  title: Founder/CEO
  role: CEO
  bio: ceo at Anchorhead. prev engineer at Amazon and Microsoft. worked on a home launcher redesign for Kindle Fire, and built enterprise-scale rag agents at Microsoft Copilot Studio