We built Factory a product that makes autonomous engineering feel safe to trust.
Factory ships production code end-to-end — signal intake, triage, planning, execution, validation, shipping, monitoring — with minimal human intervention. But handing an agent real production systems is a trust problem before it's a design problem, and no engineering leader signs off on a black box.
- Made every deployment, validation, and model decision legible inside the product, so teams watch the system work instead of taking its word for it
- Designed around "Model Independence" — teams choose their own AI models instead of being locked into one
- Built to ship as SaaS, hybrid, on-premise, or fully air-gapped, depending on how much a team needs to keep in-house
A brand and product system built for engineers, not just their VPs — one that makes "agent-native" feel like an operating reality instead of a pitch-deck word. Backed by Sequoia Capital, Khosla Ventures, NEA, Insight Partners, and NVIDIA, and used by teams at Podium, Adyen, Groq, and Chainguard. Tellingly, Factory builds Factory using Factory.
Elysium turned Factory's dashboard into something engineering leaders actually trust — every model decision, every deployment, is visible instead of hidden behind a black box. It doesn't just say autonomous, it proves it, deployment after deployment.
What did Elysium Designs do for Factory?
We designed Factory's product UI/UX and brand identity, translating an agent-native software development platform into an interface engineering teams can trust with production code.
Who is Factory?
Factory (factory.ai) is a San Francisco-based agent-native software development platform that automates the software development lifecycle, backed by Sequoia Capital, Khosla Ventures, NEA, Insight Partners, and NVIDIA, and used by engineering teams at Podium, Adyen, Groq, and Chainguard.
How long did the Factory project take?
Elysium Designs delivered Factory's product UI/UX and brand identity in 7 weeks.
What was the result?
A product experience that makes Factory's model-independent, full-lifecycle automation legible at a glance — live deployment counts, validation pass rates, and token efficiency are surfaced directly, so engineering leaders can see the system working instead of trusting it blindly.
