Brainbase Labs GTM brain

Brainbase sells managed infrastructure for engineering teams to deploy, evaluate and improve AI agents in production.

category

AI agent infrastructure

market profile

  • text: Agent projects need production hosting, evaluation and observability across models and harnesses.
  • text: Regulated and large organizations may require private or on-premises deployment and access controls.

personas

  • title: AI platform engineering lead
    pains:
    • Operating separate agent runtimes and tracing systems
    • Preventing regressions as models and prompts change
  • title: Enterprise security or infrastructure leader
    pains:
    • Controlling agent permissions and sensitive data
    • Meeting deployment and audit requirements before rollout
  • title: Operations automation leader
    pains:
    • Manual invoice and inventory exception handling
    • Establishing trust in agent actions on business systems

icp

  • text: Organizations deploying internal agents across business workflows, including government and enterprises.
  • text: Engineering teams moving multiple agents from experiments into production, with eval and orchestration needs.

message pillars

  • text: Host and improve agents across models.
  • text: Evaluate changes before production.
  • text: Constrain actions and maintain visibility.

objections

  • objection: Can we keep workloads in our own environment?
    response: Private cloud, on-premise and hybrid deployment are listed; validate specifics with the team.
  • objection: Will an agent change break production?
    response: Use the advertised evals and regression testing to test changes against representative tasks.

competitors

  • name: LangChain LangSmith
    website: https://www.langchain.com/langsmith-platform
    why: Agent deployment, evaluation and observability overlap.
  • name: Amazon Bedrock AgentCore
    website: https://aws.amazon.com/blogs/machine-learning/a-shared-agentic-platform-for-wood-mackenzie-on-amazon-bedrock-agentcore/
    why: Managed agent runtime and governance compete for production workloads.

influencers

  • name: Milind Shah
    url: https://www.linkedin.com/in/mlndshh
    why: Posted about introducing Brainbase's agent cloud.

keywords

  • AI agent hosting
  • agent evaluation platform
  • agent orchestration
  • agent observability
  • private cloud AI agents
  • AI agent sandbox

voice

  • Technical and infrastructure-focused
  • Direct and capability-led
  • Enterprise-oriented

signals

  • text: Team is moving agent prototypes into production and needs regression checks.
  • text: Organization requires private deployment or scoped agent permissions.

stack

  • Slack
  • Zoom
  • AWS
  • Azure
  • Google Cloud

hiring

  • Member of Technical Staff, Infrastructure Engineering
  • Forward Deployed Engineer

pricing

model: freemium
starting price: $0/month; Teams $500/month

motion

hybrid

channels

  • SEO
  • LinkedIn
  • developer documentation

confidence

high

Founders

  • name: Gokhan Egri
    title: Founder
    role: Founder
    bio: Freeing up your company's workforce by automating repetitive data tasks at Brainbase (W24). Previously Co-founder and CEO at Leo (AI grader), Harvard CS PhD (dropped-out).

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