Zapata Quantum, Inc.

Q2 2024 revenue was $2 million, up from $1.43 million in the year-ago quarter and $1.22 million in Q1 2024. Gross margin was 36% versus 19.7% a year ago and 13.6% in Q1 2024. Operating costs were $8.09 million, GAAP operating loss was $7.37 million, and GAAP net loss was $15.58 million, including $8.23 million of non-cash expense tied to a forward purchase agreement derivative liability. On the balance sheet, cash and cash equivalents were $7.16 million at June 30, 2024, and net cash used in operating activities was $6.11 million. The company said it raised $6.06 million net through financing in Q2, including $5.30 million through its equity line of credit, and later entered an additional purchase agreement with Lincoln Park for up to $10 million of common stock subject to conditions. Management did not give formal forward guidance, but said second-half professional fees should moderate, and that the $30 million-plus pipeline could convert over roughly the next 12 months.

Christopher Savoie framed the quarter as evidence that Zapata’s small-model, ensemble-based AI approach is gaining traction versus large-language-model-centric competitors. He emphasized that the company’s edge is in structured numeric and time-series problems, secure deployment on customer cloud environments, and avoiding vendor lock-in. His tone was optimistic and strategic, especially around defense, financial services, and the ability to expand within existing accounts like Andretti Global and DARPA.

Sumit Kapur focused on the company’s operating model and how gross margin should improve as customers move through the MDLC lifecycle from discovery to deployment and monitoring. He said the Q2 margin improvement and revenue growth reflect increased penetration and customer progression, while also noting that earlier-stage work carries lower margins than later-stage deployments. On costs, he said the large Q2 expense increase was mostly due to one-time public listing and S-1/ELOC-related professional fees, and added that second-half charges should moderate considerably. He also pointed to $7.16 million of cash at quarter-end, $6.11 million of operating cash burn, and $6.06 million raised through financing in Q2.

Analysts focused on how to prioritize the many opportunities in the pipeline, when the $30 million-plus pipeline might turn into revenue, and whether competition could slow Zapata down. Management said the opportunity set is relatively balanced across verticals, but Christopher Savoie singled out defense and financial services as especially attractive and noted that enterprise deals can be multi-million-dollar, multi-year cycles. Jon Zorio said the pipeline deals are already qualified with budget, need, and timeline established, but typically convert over about a 12-month cycle, and that hiring will remain pragmatic and demand-driven. When asked about competition, Savoie said incumbents such as Microsoft, Palantir, and C3.ai are the main rivals, but claimed Zapata competes favorably because it can move from POC to production and deliver ROI.