Factory
Factory provides an enterprise platform for agent-native software development, enabling engineering teams to plan, build, review, and ship software using autonomous agents called Droids that operate across terminal, IDE, browser, Slack, and CLI environments. The platform emphasizes sovereign, model-independent intelligence that keeps enterprise data within controlled environments, and includes analytics to track token consumption, agent effectiveness, and productivity tied to merged work. Factory is deployed at organizations such as MongoDB, EY, Bayer, Zapier, and Clari, with reported results including 31x faster feature delivery and 96.1% shorter migration times.
- AI Agents
- Developer Tools
- Artificial Intelligence
- Software Only
Funding
Raised to date
$420MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
across 5 rounds
+20Not disclosed · Series C Extension
Announced Oct 2026 · from article date
Disclosed cumulative: $405M
Founders
Founder details are not available yet.
Product
Problem
Enterprise engineering organizations face significant challenges in scaling software delivery while maintaining quality, security, and governance. Traditional development workflows are bottlenecked by manual processes, and the adoption of AI coding tools often raises concerns about data privacy, compliance, and uncontrolled use of models that may send sensitive information to external LLMs.
Solution
Factory provides an enterprise platform for agent-native software development, enabling teams to plan, build, review, and ship software with autonomous agents operating across desktop, terminal, web, and CLI environments. The platform delivers sovereign, model-independent intelligence that keeps enterprise context within a controlled environment, and supports governed self-improvement where a system continuously turns enterprise signals into validated production software. Droids, the platform's autonomous agents, maintain consistent memory across tools and platforms, allowing them to follow engineers through workflows without losing context. Factory also offers analytics that break down token consumption by model and user, agent effectiveness metrics, and productivity tracking tied to actual merged work, all designed to reduce AI spend rather than grow it.
Target Audience
Primary customers are enterprise engineering organizations and software teams seeking to integrate autonomous AI agents into their development workflows, including regulated industries like fintech that require strict data privacy and security standards. The platform also targets forward-deployed engineering teams and organizations looking to adopt AI-native development practices at scale.
Features
- Droids available across multiple interfaces including terminal, IDE, browser, Slack, Jira, CLI, and web for flexible collaboration and delegation
- Sovereign, model-independent intelligence architecture that keeps enterprise data within controlled environments and supports models like NVIDIA Nemotron for high-security deployments
- Governance framework allowing teams to set goals and policies while Droids plan, build, and validate changes autonomously
- Analytics suite tracking Factory Standard Credits (FSC) consumption by model and user, plus autonomy ratio and tool call metrics
- Agent effectiveness dashboards showing adoption per team and engineer, active users (DAU/WAU/MAU), sessions, and messages over time
- Productivity tracking connecting agent usage to shipped work including file changes, git commits, pull requests, and language breakdowns
- Enterprise organizational model designed for AI-native workflows, including role-based access control and team/repo-level activity breakdowns