Venture Studio
Veritis Venture Studio identifies high value problems, validates them with the enterprises that have them, recruits the people to solve them, and supplies the technology, capital, and enterprise access required to launch them.
Six Steps from Problem to Scale
We start with a large enterprise problem or market dislocation, usually one we have seen from inside a delivery engagement.
We test it with the enterprises that have the problem: Customers, market, economics, product thesis. Most ideas do not survive this step, which is the point.
An MVP, an AI and cloud architecture that will hold at scale, and a security foundation built in from the start rather than retrofitted before the first enterprise audit.
We find the people to run it. Sometimes they arrive first, and we build around them.
Initial capital, design partners, and first customers, frequently from within the Veritis Group client base.
Enterprise go to market, continued funding, and the compliance groundwork enterprise buyers will audit.
Why This Works?
An early stage company selling into the enterprise faces the same obstacles in the same order. Nobody will take the meeting. The security questionnaire arrives and takes three months. Integration with the customer's existing systems becomes the actual product. Procurement tasks for a SOC 2 report that does not exist yet.
None of that is a product problem, and none of it is solved by building faster. We have spent 21 years and more than 600 implementations on the buying side of exactly those conversations. When a Veritis company reaches that stage, it is not encountering the process for the first time.
The Operating Advantage Behind Every Company We Start
Enterprise introductions through Veritis Group's client relationships across automotive, banking and financial services, energy, government, healthcare, manufacturing, and telecom. Design partners who will actually pilot. And the practical knowledge of how each of those organizations makes a purchasing decision.
Architecture and engineering review from people who have built and deployed enterprise systems at scale. The infrastructure and AI decisions that are expensive to reverse get made once, early, by people who have made them before.
Funding at formation and through growth, from our own balance sheet, with no external timeline attached to it.
Security and compliance foundations built in from the start, designed for the audits enterprise buyers actually run, by teams that have been through them repeatedly. Go to market support as the company reaches that stage.
We want to meet operators, technologists, and domain experts working on problems in enterprise AI, whether that is inside a company you have already started, or an idea you have not acted on yet.
If you have spent years inside an industry and know exactly which problem is worth solving, that is often a better starting point than a deck.
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