Shivani Gupta — Co-Founder

Most operational businesses don’t struggle with work. They struggle with decisions. After working closely with contractors, manufacturers, traders and finance teams, I noticed a repeated issue — companies were committing money, materials and timelines without knowing the actual outcome beforehand. Projects were quoted using assumptions. Deals were accepted based on surface profitability. Inventory decisions were made on past experience. Execution problems were only discovered after 40–60% completion — when fixing them became expensive. At LogicLeap AI, I design the underlying decision-intelligence systems that evaluate real operational inputs and simulate outcomes before execution. The platform models: • expected project cost and margin • cashflow pressure during execution • material consumption patterns • pricing and demand behaviour • deal profitability risk Our goal is simple: help businesses see consequences before they commit capital. Products: Venture Vitals — project planning & costing intelligence DealPulse — financial decision evaluation TradeCast — supply-chain forecasting If your business makes execution decisions involving money, inventory or timelines, the right question isn’t “how to manage problems faster”. It is: “how to prevent the wrong decisions in the first place”.

Stackforce AI infers this person is a SaaS expert focused on operational decision intelligence.

Location: Bengaluru, Karnataka, India

Experience: 7 yrs 10 mos