Kashikoi GTM brain

Kashikoi provides simulation-based benchmarking for teams building AI agents.

category

AI agent evaluation

market profile

  • text: Agent developers need to assess multi-step behavior across varied situations before release, not just inspect a single answer.
  • text: Kashikoi targets automated behavioral evaluation using customizable scenarios and performance metrics.

personas

  • title: AI engineering lead
    pains:
    • Manual evaluation delays releases and misses long-tail agent failures.
    • Changing models or prompts makes regression comparisons difficult.
  • title: AI product manager
    pains:
    • Needs a defensible release decision without coding every test.
    • Aggregate success rates hide failures in specific user journeys.
  • title: ML evaluation engineer
    pains:
    • Building realistic scenarios and scoring rubrics consumes engineering time.
    • Must connect a bespoke agent stack to a repeatable benchmark.

icp

  • text: B2B software teams actively shipping or piloting agentic products are the clearest fit.
  • text: Enterprise AI teams with custom agents in support, security, analytics or coding face multiple workflows worth testing.

message pillars

  • text: Start a benchmark with a prompt rather than writing an evaluation harness.
  • text: Exercise agents against varied realistic interactions.
  • text: Turn evaluation findings into agent improvements.

objections

  • objection: Our agent is custom and will not fit a generic benchmark.
    response: Scope a pilot around the team's own workflows and confirm the connector and metrics before scaling.
  • objection: Simulations may not reflect actual users.
    response: Compare scenario failures with known production cases and review representative transcripts with domain experts.

competitors

  • name: LangSmith
    website: https://info.langchain.com/Agent-Testing
    why: Provides agent testing, evaluation and lifecycle tooling.
  • name: Braintrust
    website: https://www.braintrust.dev/articles/agent-evaluation
    why: Offers agent evaluation including simulation and scoring.

influencers

  • name: Aaksha Meghawat
    url: https://nexus.opensphere.ai/kashikoi/aaksha-meghawat
    why: Founder with prior simulation and evaluation experience at Moveworks.

keywords

  • AI agent evaluation
  • agent simulation testing
  • LLM agent benchmarks
  • AI agent regression testing
  • synthetic user simulation
  • agent eval platform

voice

  • Practical
  • Developer friendly
  • Confident

signals

  • text: An AI team is preparing an agent for production or swapping models and needs regression evidence.
  • text: The team is hiring for agent evaluation or spending heavily on manual QA.

pricing

model: unknown

motion

sales_led

channels

  • LinkedIn
  • Blog
  • SEO

confidence

medium

Founders

  • name: Aaksha Meghawat
    title: Founder/CEO
    role: CEO
    bio: Founder, Kashikoi. Aaksha led the Simulation & Evaluation stack at Moveworks(ServiceNow) shipping 250+ customized enterprise ready agents to Fortune 500 and federal agencies. Aaksha has done award winning NSF sponsored research in Transformers at CMU (long before OpenAI made them cool). She shipped edge speech recognition models on 1bn+ iPhones (for the most esoteric dialects you can think of) at Apple. The innovation behind this was nominated for a Best Paper at Interspeech 2021.

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