Kinaxis (KXS) used its appearance at Citi's 2026 Global TMT Conference on Wednesday to lay out an accelerated artificial-intelligence strategy centered on its Maestro platform, while reporting continued double-digit growth in its subscription business.
First-half 2024 SaaS revenue and annual recurring revenue each grew roughly 20% year-over-year, and better than 20% on a constant-currency basis, according to CEO Razat Gaurav and CFO Herb Eppich. Growth has improved by about 500 basis points compared with the period 12 to 18 months earlier.
The company invests approximately 18% of revenue in research and development. Its intellectual-property portfolio now includes more than 100 granted patents and over 200 pending applications. Kinaxis has filed close to 50 patents year-to-date, with 46% focused on AI use cases in supply-chain operations.
Kinaxis said its three-phase AI rollout is progressing through distinct stages. Phase one, already deployed, integrates standard large language models—including Google Gemini, Anthropic Claude and OpenAI ChatGPT—alongside retrieval-augmented generation and conversational interfaces. Phase two introduces six pre-built agent capabilities and an Agent Studio for custom agent development. Phase three, still in early stages, targets operational orchestration extending into execution systems, which the company called its highest-value expansion opportunity.
About 10% of Kinaxis's customer base is currently engaged in active paid trials or full deployments of Maestro Agents, the company said.
Kinaxis also expanded details on its forward-deployed engineering model, currently active in North America, Europe and India, with future plans to bring it to Japan and other regions. Cross-functional pods combine supply-chain process architects, data-engineering leads and data scientists to embed closer to customers.
The company highlighted a broad customer footprint spanning aerospace and defense, energy, automotive and consumer goods. Customers include NextEra, Enel, Engie, Raytheon, Pratt & Whitney, L3Harris, Bell Helicopter, Rolls-Royce, Lockheed Martin, Unilever, Ford, General Motors, Qualcomm and Merck. Collectively, Kinaxis customers manage more than $500 billion in inventory, and the company estimated that AI-driven optimization could unlock a 5% to 15% reduction in inventory costs.
Chief technology partners named during the session included Google, Microsoft, Anthropic, OpenAI, Databricks and NVIDIA. Kinaxis acknowledged competition from SAP and Oracle in the supply-chain management software space.
Gross profit margin was cited at 66%, with return on equity at 21%. The company also confirmed it expects FedRAMP certification to be completed by the end of 2025, a milestone aimed at expanding access to U.S. government contracts.
