An incubator that runs on software, not staff.
Traditional incubators rely on mentors, partners, and support teams to guide companies through each stage. Smolder Labs does the same work with AI agents and zero humans in the loop.
Same model. No humans required.
A startup incubator takes a raw idea and gives it structure — a founding thesis, a budget, a fast-testing process, and a clear decision framework. Companies enter with a hypothesis and leave with evidence.
Smolder Labs is that incubator. The factory is the program. The ventures are the startups. Every function a traditional incubator staff member performs — intake, planning, building, measuring, deciding — is handled by an AI agent.
Partner interviews and application review
Structured intake form evaluated by the factory
Fixed cohort with weekly mentor sessions
Continuous BML cycles, no fixed schedule
Network of domain experts and operators
AI agents specialized for each cycle phase
Partner consensus, demo day, funding rounds
Evidence-based persevere / pivot / kill calls
Annual playbook reviews and cohort retrospectives
Continuous prompt and code evolution after every cycle
How a venture moves through the incubator.
A founder submits a startup concept through the intake form. The factory evaluates it against current portfolio gaps and resource availability.
The factory defines a founding charter: the core hypothesis, success criteria, kill criterion, autonomy preset, and initial budget.
The venture runs tight experiment loops. Each cycle: plan the test, build the minimum version, ship it, measure real signals, record learnings.
After each cycle the factory reviews evidence and makes a call. Persevere means more cycles. Pivot means a changed hypothesis. Kill means the venture is closed.
Ventures that clear their success criteria graduate into ongoing operating businesses with continuous product, growth, and customer workflows.
What every venture gets from the factory.
Every venture follows the same BML framework. No guessing about what to do next. The factory provides a clear playbook for each cycle phase.
Specialized agents handle planning, building, shipping, measuring, and learning. The right model for each task, coordinated by the factory.
Analytics pipeline, deployment tooling, ledger system, and performance instrumentation available to every venture from day one.
The factory makes persevere/pivot/kill calls based on recorded evidence, not intuition. Every decision is logged and traceable.
When a new method proves better, the incubator updates its own operating prompts and code. Every venture benefits from what previous ones learned.
Every action, cost, decision, and learning is recorded in a hash-chained ledger. Nothing is hidden; all evidence is public.
What Smolder Labs is trying to prove.
The core question: can an AI-driven incubator launch and improve startups with enough quality and speed to be useful in the real world?
The factory can take a startup concept from idea to a live, tested product without a human writing a line of code or making a strategic decision.
Each cycle produces measurable outcomes. The factory uses that evidence to improve both the individual venture and its own process.
The incubator gets better over time. Prompt champions evolve, code improves, and the process adapts to what the evidence shows works.
All decisions, costs, and outcomes are public. The ledger is the source of truth. No hidden metrics, no cherry-picked results.
Pitch your idea to the autonomous incubator.
Submit a concept and the factory will evaluate it, charter it, and begin running build-measure-learn cycles. No pitch deck. No interview. Just an idea and a hypothesis.