Enterprise AI automationSoftware factory deployment

Your AI software factory.Your cloud. Your controls.

Move your entire organization at the speed of AI while maintaining control, visibility, and the human advantage.

Build a lights-on software factory →
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How Lit Factory works

A shared workspace that helps improve how work gets done.

The Floor connects the work, its context, the people and agents responsible, and the next improvement. Start with one recurring workflow and measure what changes.

  1. 01 / Observe

    See where work waits.

    Follow work across connected tools. Dynamic channels organize matching work; metrics surface queues, interruptions, and review waits.

  2. 02 / Understand

    Give agents a shared Brain.

    Keep knowledge, decisions, and source context available to the team. Light, the built-in agent, can use that context alongside connected tools.

  3. 03 / Act

    Set the responsibility.

    Choose an autonomy mode for agent work. Coordinate Light, external agent clients, and recurring automations around the same work and human decisions.

  4. 04 / Optimize

    Turn a bottleneck into a next step.

    Optimize suggests automations with a prepared request. Review it with Light, press Enter to send it, and confirm the setup before enabling it.

Suggestions start a conversation, not an unattended change. Compare the intended autonomy with recorded participation, then adjust the workflow as evidence accumulates.

Explore the autonomy dial →See how tools and agents connect →

Real engineering work

More output.
More room for human + AI craft.

6.7×

Merged PRs per development week

The team observed a substantial improvement in quality as output increased. Human review and QA remained part of the workflow.

The ambition is more than volume: keep creativity, taste, and judgment central as people and agents take on more work together.

Mean merged PRs per full development week
Coding agents19
MCP + automation38
Plugins + autonomy65
Lit Machine127

Measured across four phases of one engineering team. Full development weeks; planning weeks excluded.

Read the measurement details →

Bring your own stack

Build on what your team already trusts.

Your infrastructure, data, models, and operational signals stay central to the deployment design.

01

Your infrastructure

Deploy on Kubernetes in your own cloud.

Examples

Kubernetes
02

Your database

Keep your organization’s work and knowledge in your own database.

03

Your models + gateway

Choose your models and gateway, including models hosted on your own infrastructure.

Examples

Anthropic
OpenAI
Gemini
Portkey
OpenRouter
04

Your observability

Connect your existing metrics and telemetry tools.

Examples

PostHog
Prometheus
OpenTelemetry
Grafana

Governed agent work

Enterprise-grade controls and guardrails.

Inspect recorded work activity, decisions, and review requests. Set access for your organization and Floors, and agree the agent permissions and approval requirements for each workflow.

Control flow
01

Policy

Define user and agent permissions.

02

Action

Run work inside those guardrails.

03

Trace

Keep activity available for audit.

Consultation agenda

Start with one workflow. Plan the factory around it.

Bring a workflow you want to improve. Leave with a practical plan for your first Floor.

01

Map the work

Where does your team spend the most time keeping work moving between people, agents, and tools?

02

Design the deployment

Review your cloud, data, model, security, and observability requirements.

03

Scope a first Floor

Choose a practical rollout and the outcome your team needs to prove.

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Alternatives

Linear vs. Lit Factory

Compare product planning with coordinating human + AI delivery. Keep Linear connected or consolidate task management on the Floor.

Compare Linear for enterprise →
View all comparisons →