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Blitzy

AI agents that modernize large enterprise codebases

Raised to date

$188.8M

of $190M offered across 1 Form D filing

Still open
$1.2M
Investors
38
Last filed
May 15, 2026

About

Blitzy is a Cambridge, Massachusetts AI company that builds an autonomous software development platform for large enterprises. The platform reverse-engineers an existing codebase into a knowledge graph and then orchestrates thousands of AI agents over extended inference runs lasting days or weeks to modernize legacy systems and build new applications, leaving human engineers to finish the remainder. It is aimed at codebases ranging from one million to over 100 million lines of code, and the company reports autonomously completing roughly 80% of a development project. Founded in 2023 by Brian Elliott and Sid Pardeshi, it raised $200 million at a $1.4 billion valuation in May 2026.

Built for codebases far larger than a model context window — up to 100M+ lines — by converting the repository into a knowledge graph first and then running thousands of coordinated agents across multi-day inference, rather than serving single-file coding assistance. It is model-agnostic, routing across Gemini, GPT and Claude, and reports 66.5% on the SWE-Bench Pro benchmark.

Funding

  • EquityFiled May 15, 2026Form D
    $188.8M/ $190M

Product

Blitzy

Autonomous software development platform

An agentic platform that maps a large enterprise codebase into a knowledge graph and orchestrates thousands of AI agents to autonomously produce production-ready software, whether modernizing decades-old legacy systems or building new applications.

  • Handles codebases from 1 million to over 100 million lines of code
  • Reverse-engineers existing repositories into a knowledge graph
  • Orchestrates thousands of coordinated AI agents

Built for

Global 2000 enterprises, especially in regulated industries such as financial services, insurance and government; named customers include State Street, QAD, Builders FirstSource and Grupo Nacional Provincial

People on file