Agentic Labs GTM brain

category

market profile

• text: The live site positions Glide as a context engine for agent deployments and lists evaluation and prompt optimization services.
• text: The earlier launch described Glide as a code-connected technical design editor; the relationship to today's context offering is not explained.
• text: Code intelligence vendors also compete for the engineering work of supplying repository context to AI agents.

personas

• title: Engineering lead deploying AI agents
  pains:

  • Agents lack organized context from code and customer data
  • Preparing and maintaining context requires engineering time
• title: AI product or evaluation lead
  pains:

  • Agent success is difficult to measure against business use cases
  • Prompts and models need iteration based on experience
• title: Developer working in an unfamiliar codebase
  pains:

  • Understanding a complex system takes time before implementation
  • Explanations at different levels of detail are difficult to maintain

icp

• text: Engineering teams building or deploying AI agents that need code and customer-data context; company size is unspecified.
• text: Organizations with business-specific AI use cases that need evaluation datasets and success metrics.

message pillars

• text: Reduce the work of preparing agent context.
• text: Build shared code understanding for agent workflows.
• text: Evaluate AI against business outcomes.

objections

• objection: Can it understand our specific codebase and data?
  response: The site describes code knowledge and data connectors; test ingestion and explanation quality on a representative repository and dataset.
• objection: How do we know an agent is improving?
  response: Define a business-specific evaluation set and metric before comparing agent behavior over time.

competitors

• name: Greptile
  website: https://www.greptile.com/knowledge-base
  why: Indexes codebases and supplies context to coding agents and code review.
• name: Sourcegraph
  website: https://sourcegraph.com/docs/deep-search
  why: Provides AI-assisted code search and repository understanding.

influencers

• name: Maksim Ivanov
  url: https://www.linkedin.com/posts/maksivanov_working-on-something-new-activity-7167912497616736258-2TFp
  why: Co-founder who posted the company launch.

keywords

• AI agent context management
• codebase knowledge base AI
• AI agent evaluation datasets
• codebase context for agents
• agent prompt optimization
• AI system design tools

voice

• technical
• concise
• outcome-focused

signals

• text: A team is deploying agents that need context from code or customer data.
• text: An AI product team is establishing evaluation datasets and metrics for business workflows.

pricing

motion

confidence

Founders

• name: Maksim Ivanov
  title: Founder/CEO
  role: CEO
  bio: Building self-assembling software. Previously at hedge funds and doing ML research