About Ziplabs
Building with the whole business in view.
Ziplabs is a venture-building platform for enterprise AI and software. We explore where AI can change how important work gets done and build the product and the system that make it dependable. Where an opportunity is strong, we develop it into a business with customers, a route to market and economics that hold up.
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What we look for
Enterprise work that is expensive to do badly, where the next step depends on interpretation and people are accountable for the result. Dependable software changes how that work gets done. Unreliable software is quickly abandoned.
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What we bring
Product leadership, engineering and go-to-market experience applied to one problem. Customer discovery shapes the system design, and what the system can reliably do shapes the price.
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What we develop
Much of the exploration is meant to rule things out. The opportunities that justify further investment become ventures through product development, market validation and the team the work requires.
Three questions, asked together
Each answer constrains the other two.
Product
Who is this for, what does it replace and why would someone change how they work?
Technical
Where should an agent decide, what may it touch and how will we know it worked?
Commercial
What is a result worth to the buyer, and how does the product reach them?
Enterprise adoption depends on what the system can be trusted to do, and that decides what a buyer will pay for. The price in turn limits how much review and infrastructure the product can afford. We keep all three in view from the first customer conversation.
Examples of current work
Selected explorations in organizational context, agent actions and evidence-driven decisions, alongside a broader interest in AI-native business applications and agentic workflows.
- Organizational contextExploring how agents can draw on an organization’s records, relationships and decision history across systems, with provenance, currency, permission boundaries and unknowns made explicit.Read more
- Agent actions and accountabilityAutonomy granted in proportion to what a task requires and what an agent has shown it can do reliably, with the authority behind each action clear and its effects open to review.Read more
- Investigations and evidence synthesisExploring agent-assisted investigations that connect evidence across systems, surface gaps and support faster, better-grounded human decisions.Read more
Sajjad Masud leads Ziplabs, which he founded, from customer discovery and product strategy through engineering, go-to-market and commercialization.
His experience runs from hands-on engineering through product and executive leadership, including founder, CPO and CEO roles in startups and established organizations. A foundation in AI and machine learning, distributed systems and database engineering shapes how he approaches product architecture and what enterprise software needs in order to run reliably.
He has shaped product and go-to-market strategy alongside enterprise customers, partners and boards. His work has included building new businesses and leading technology-driven change in how established organizations operate and take products to market.
He holds an MBA from Harvard Business School and an MSE in Computer Science & Engineering from the University of Michigan.
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