Priya Saiprasad has spent her career at the intersection of enterprise software, artificial intelligence, and growth-stage investing. Now, as a General Partner at Touring Capital, she is helping lead a venture firm built around a clear idea: the next generation of important software companies will use AI to change how work gets done.
Saiprasad co-founded Touring Capital after working across venture capital, mergers and acquisitions, and enterprise technology. Her background includes senior investment roles at SoftBank Vision Fund and Mayfield Fund, as well as an early role helping build M12, Microsoft’s venture fund. That mix gives her experience across the full path from company formation to commercial growth.
A career across venture capital and enterprise technology
Before Touring Capital, Saiprasad served as a Partner at SoftBank Vision Fund. There, she led investments in Pixis, Vendr, Observe.AI, CommerceIQ, Sendoso, and Skedulo. The companies reflect her focus on software, AI, analytics, and tools designed for business customers.
At Mayfield Fund, Saiprasad focused on investments in AI and analytics. Earlier, she was a founding member of M12, Microsoft’s venture fund, where her investments included Go1, WorkBoard, PandaDoc, Element AI, and Bonsai. She also worked on mergers and acquisitions and corporate development at Square.
That experience has shaped a career focused on technology that solves business problems. Saiprasad was named to Forbes’ 30 Under 30 list for Venture Capital in 2018, and she now holds several board positions alongside her work at Touring Capital.
Touring Capital’s bet on AI-powered software
Touring Capital is a San Francisco-based venture capital firm focused on backing the next generation of AI-powered software companies. The firm invests mainly in early-stage and early-growth businesses that are approaching product-market fit, the point when a product begins showing clear demand from its target customers.
Its focus goes beyond adding AI features to existing software. Touring Capital looks for companies using AI to transform enterprise workflows and create measurable customer value. That means examining how a product changes the work itself, not only how it changes the software interface.
AI has the potential to change how work gets done across nearly every industry. When software can perform work, it changes the product, the addressable market, the pricing model, and the economics of the company delivering it.
That shift creates a different set of decisions for founders. Companies approaching or demonstrating early product-market fit must decide which workflows to own, how much autonomy customers will accept, and how to turn early demand into repeatable growth.
Building advantages that strengthen with use
Touring Capital’s investment approach emphasizes durable data advantages, product flywheels, domain expertise, and clear paths to commercial scale. These ideas point to a long-term view of AI software, where the strongest companies build advantages that become harder to copy as their products gain experience and customers.
A durable data advantage can help a company improve its product through use. A product flywheel connects customer activity, better performance, and stronger demand. Domain expertise helps a team understand the workflows it wants to change, while a path to commercial scale connects technical progress with a business that can grow.
Touring Capital was founded by investors with experience across M12, Qualcomm Ventures, and SoftBank Vision Fund. Saiprasad’s own path through M12, Mayfield, and SoftBank Vision Fund is central to that experience, combining company-building knowledge with years of investing in enterprise technology and AI.
In 2025, Touring Capital closed an oversubscribed $330 million inaugural fund. The fund gives the firm a base for backing early-stage and early-growth companies as they work toward product-market fit and repeatable commercial growth.
The firm’s aim is to help founders build businesses whose competitive advantages deepen as the technology advances. For Saiprasad, that means looking for software companies where AI changes the work customers do, creates measurable value, and supports a business that can grow beyond its earliest demand.
