Factory
A self-improving, agent-native system that automates your entire software development lifecycle.
Enterprise·Technical·Powered by Model-agnostic (supports multiple LLM backends)·API available
Key strengths
Full SDLC automation from triage to monitoringModel-agnostic with support for multiple LLMsFlexible deployment: SaaS, Hybrid, On-Prem, and Air-GappedSelf-improving system via continuous signal ingestionHigh-throughput code generation with built-in validation gates
Enterprise pricing
Self-hostable
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- CI/CD signal ingestion — Connect Factory to GitHub, Jira, PagerDuty, or other tools to feed live signals into the triage and monitoring pipeline stages for closed-loop automation.
- Multi-model LLM orchestration — Assign and swap LLM backends per pipeline stage, optimizing for latency, cost, and context size depending on the task (e.g., fast model for code gen, reasoning model for planning).
- Automated merge gate enforcement — Integrate the Validate stage into your PR workflow to run automated checks and block merges below quality thresholds, reducing human review load.
- On-Prem / Air-Gapped deployment — Deploy the full Factory stack within a private data center or air-gapped environment to meet strict compliance and data residency requirements.
- KPI-driven pipeline optimization — Instrument each SDLC stage with throughput metrics (LOC/day, cycle time, MTTR, token efficiency) and use the feedback loop to continuously tune automation configurations.
- SDLC-wide context sharing — Leverage Factory's shared context layer so that signals and learnings from triage automatically inform code generation and validation, eliminating context loss across stages.