BAG Ventures Raises $11.3 Million for AI Startups Built for Enterprise Work

BAG Ventures has finished raising its first fund after already spending about two years putting it to work. The firm announced the $11.3 million final close on September 30, 2026, backing early-stage enterprise AI startups with a specific pitch: capital accompanied by introductions to the people who might buy their products.

From an operator collective to a fund

Co-founders Bonita C. Stewart, a former Google vice president, and Jackson Georges Jr., a former CapitalG partner, developed the investment thesis while serving as entrepreneurs in residence at Google and CapitalG. Their firm also draws on BAG Collective, a community of more than 450 technology operators that BAG says has invested together since 2021.

Georges described the catalyst to TechCrunch as a gap between founders and operators. Founders needed access to organizations they hoped to sell into; senior operators wanted to help young companies but lacked a way to do it. BAG's response was to combine investment with warm customer introductions and hands-on advice about bringing products to market.

That approach is reflected in the fund's backers. BAG says it has 150 limited partners—the investors supplying the fund's capital—with 85% holding senior leadership roles and more than 25% bringing technical expertise in AI, engineering or security. They come from companies including Google, Snowflake, General Motors, Vanguard, Amazon and Nvidia.

Georges says the network can give founders customer introductions and institutional access that would otherwise take years to build. That is BAG's claimed advantage, rather than a promise that financing alone will get a startup through enterprise procurement.

The real value is coming from solutions that integrate deeply into legacy workflows and actually execute the work.

Jackson Georges Jr., BAG Ventures co-founder, speaking to TechCrunch

Ten investments before the final close

Fund I has already made ten investments across enterprise AI infrastructure, cybersecurity, industry-specific applications and workflows involving AI agents. BAG's checks range from $100,000 to $500,000, according to TechCrunch. The portfolio gives the fund an existing set of bets, rather than leaving its investment strategy entirely on paper.

Three companies BAG highlights

• Nomadic turns footage from autonomous vehicles and robots into structured, searchable datasets. BAG names Mitsubishi Electric, NATIX Network, Zendar and Michigan Tech among its customers.
• SXD makes AI software that BAG says eliminates material waste in industries such as fashion and automotive without requiring changes to factory processes.
• BizTrip is an AI travel agent that BAG describes as booking a complete business trip from a single sentence.

The next checks come with a revenue test

For future investments, Georges told TechCrunch he wants technical teams that have worked together before, a minimum viable product and at least one partner. He also asks for “a very clear path to monetization within 24 hours.” That is a stated screening preference, not evidence that every portfolio company can generate revenue that quickly.

His reasoning is competitive as well as commercial. Georges wants products embedded deeply in business workflows and built around proprietary data that cannot simply be scraped. He argues that startups offering little beyond access to a frontier model will be vulnerable as the model developers release more products themselves.

Regulated industries are another target. Georges points to securing internal data flows, setting acceptable-use rules and continuously testing systems for weaknesses. He also sees an opening in tools that manage identities and access permissions for AI agents, rather than only human employees.

BAG hopes to invest the remaining capital over the next two years. Georges is preparing for customers to buy completed jobs and outcomes instead of software seats priced per user. That remains his forecast, not a settled purchasing model. The remaining investments will show how BAG translates that expectation into companies it is willing to finance.