Stop betting a quarter of corporate venture building on a few ideas.

Every venture building program starts with a field of ideas and down-selects to the 10 or fewer that are manageable to double-click into. Not because 10 is the right number, but because that's what the budget covers given the time and resources each concept takes to diligence – industry analysis, customer research, product wireframes, business model mock-ups – all before being down-selected further to the few that actually get launched.

Alloy's agentic engine changed the cost of diligence. Our engine is a set of specialized agents with defined mandates: one running industry research, one mapping competitive landscapes, one synthesizing customer interviews, one designing product, one modeling the economics. They all work together with an orchestrator handing outputs between them, and they build alongside human venture builders who still make every call.

Two Phases of AI-driven Diligence

With an agentic engine powering venture building, research that once took weeks now takes days. Once we generate 100 ideas, we split our diligence into two phases.

The first phase answers questions the world has already answered somewhere – market size, competitive landscape, industry dynamics. It’s driven by the AI engine and runs overnight on 100 ideas to down-select to ~10. The value is that prioritization happens with more information than a human-only research team ever could have gathered.

The second phase answers questions nobody has answered yet – does a new value proposition resonate with buyers, will they pay $25,000 a year, will users adopt it? The AI engine generates the outputs – industry research, clickable product prototypes, business model drafts – that enable a human team to go out into the real world and gather evidence on these questions. The result is a far more developed concept, faster – meaning every launch comes with more information, pressure-testing, and conviction.

What the down-select judged

Each of 100 ideas gets scored on the same business design rubric we apply for every Alloy venture –

• The Value Proposition: a defined Ideal Customer Profile, discrete Job to be Done, clear solution
• Profit Formula: a large enough market, validated pricing and ROI, traction
• Resource Model: clarity on talent, achievable implementation requirements
• Strategic Fit: clear alignment with the corporate partner’s needs, defined advantages from the corporate partner to the startup

Concepts in the first phase cannot achieve a perfect score: requirements like validated pricing and customer traction are the work of the second phase. But running more research than we ever could in phase one, on more ideas than we ever could, before generating a score and down-selecting, still means the quality of the ventures that we down-select to are higher than ever. The first phase doesn’t try to pick the winners, but rather establishes which concepts are credible enough to be worth the investment of phase two.

What changes when you can afford to test 100 ideas

When organizations can only afford to test 10 ideas, the pie-in-the-sky, transformational ideas are often the first to be cut, while the ideas that feel “more defensible” in a room, but might only make incremental progress, are easier to keep. Testing 100 ideas means the tax on being wrong is low. Even if a concept is harder to articulate, or requires testing some riskier assumptions, it goes through the same fast-paced phase one diligence – and some survive it.

Testing 100 ideas can also change organizational dynamics. With a full backlog of concepts that have already passed phase one diligence, when evidence mounts against a concept in phase two, there are fewer barriers to shifting to a new concept and starting again – protecting venture builders from one of the biggest resource drains. When evidence builds against an idea, killing it is easier.

Lastly, it’s not just that more ideas get tested faster through phase one. It’s also that concepts go into phase two with more definition. That means by the time human resources are committed, an idea has a working prototype, a list of assumptions that need to be proven, a drafted business model, and a landing page. These aren’t designed to be launch-ready – but they are ready to be taken into the real world to answer what is not yet known, and iterate.

Start with 100 ideas and surface the best

We don't pick winners. We make them, and making them starts with prioritizing with real diligence.

Across 40+ companies and 8+ studios, that's how Alloy builds. If your program is still double-clicking into ten ideas because ten is what the budget covers, that's the ceiling this engine is built to remove. Reach out and we'll walk you through what it would take to apply it inside your organization.