Agentic Labs Analysis
What is Agentic Labs?
Agentic Labs builds Glide, a context engine that collects, cleans, and organizes context for AI agent deployments. The company describes its mission as helping AI systems grow, adapt, and evolve through better context handling. Its site emphasizes code knowledge bases, data connectors, evaluation sets, reward modeling, and prompt optimization for agent workflows.
Location
New York, NY 10011, United States
Employees
1-10
Founded
2023
Company Stage
Seed
YC Batch
W24
Product Features & Capabilities
- Generate up-to-date documentation for entire codebase, explore project understanding at various levels, automatically create summaries of code changes, handle specific and high-level questions with AI, understand documentation behind answers, integrate with Github, Gitlab, and Bitbucket, maintain version control for code and documentation, export to documentation platforms like Confluence and Gitbook, customize documentation appearance.
Who are the founders of Agentic Labs
MI
Maksim Ivanov
Founder
RM
Robert McKnight
Founder
Market Focus
Agentic Labs primarily focuses on the software development industry, specifically integrating artificial intelligence into the software development process to enable systems to grow, adapt, and evolve.
Investors
- Fellows Fund
- Phoenix Investment Club (San Francisco)
- Pioneer Fund
- Rebel Fund
- Transpose
- Y Combinator
Competitors Overview
Agentic Labs operates in the AI software development market and faces competition from several notable companies. Its main competitors include:
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CodeStory: Specializes in enhancing programming workflows through AI integration in software development. Their product, Aide, is an AI-native editor designed to improve coding efficiency.
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GitHub: A well-known software development platform that allows users to build, scale, and deliver software products. GitHub provides hosting, code previewing, and integration features, making it a comprehensive tool for developers.
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Docxonomy: Focuses on AI-powered insight and analytics solutions within the enterprise search industry. Their platform is designed to enhance data accessibility and insights for businesses.
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Intuita: A code evolution platform that simplifies dependency upgrades, mass refactoring, and migration projects for codebases of any size, leveraging AI to streamline these processes.
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Stenography: Utilizes AI to simplify coding and communication about code, offering an API that aids developers in their coding tasks.
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Poolside: Focused on building advanced AI for software development, specifically through its Reinforcement Learning from Code Execution Feedback (RLCEF) model, offering a secure and private alternative for companies.
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Crane Ai: Assists designers and developers in building software using AI, although specific details about their offerings are not provided.
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Internet Soft: Specializes in digital transformation, AI/ML, core banking, cloud consulting, and blockchain consulting.
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Backstop: Provides AI discovery software and e-discovery services that significantly reduce the time and cost of document review while maintaining accuracy.
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Acellere: Offers an AI-powered software analytics platform aimed at scaling software development exponentially.
Notable differences or advantages among these competitors include CodeStory's focus on AI-native editing, GitHub's extensive integration capabilities, Poolside's emphasis on security and privacy, and Docxonomy's analytics solutions.
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