Nixtla, a time-series intelligence company building a foundation model purpose-built for forecasting, has raised $16 million in Series A funding to accelerate the development of production-grade forecasting, anomaly detection, and AI-powered time-series tools. The round was led by Energize Capital, with participation from True Ventures and GreatPoint Ventures.
Founded four years ago, Nixtla was created to reduce the cost and operational burden of maintaining time series forecasting systems at scale. The company argues that despite the importance of forecasting across industries, many organizations still rely on approaches that are expensive to build, difficult to maintain, and unreliable in production. Nixtla said it is applying the same class of algorithms that have advanced language and vision models to time-based data, aiming to improve decision-making by reducing uncertainty and enabling more effective planning.
Nixtla said it has grown from an open-source library into a broader time-series intelligence platform, citing more than 45 million downloads and use by startups and large enterprises, including Microsoft, Zalando, and Decathlon. The company said its enterprise tools can generate up to 42% more accurate forecasts, support anomaly detection, and deliver 10x the inference efficiency of traditional methods.
The company also highlighted customer outcomes it attributes to its platform, including a 35% increase in store-level forecast accuracy at a retail brand and an 85% reduction in forecasting false alerts at a mobility company. Nixtla said demand planning, inventory management, energy forecasting, and logistics are among its core use cases, and noted that TimeGPT has become a recognized industry standard and a requested skill in job postings at companies such as OpenAI, DoorDash, and Tesla.
Nixtla’s product lineup includes the Nixtlaverse open-source library, which it says has more than 15,000 GitHub stars, and TimeGPT, which it describes as the first production-ready foundation model for time-series forecasting. The company said recent releases, including TimeGPT 2.1 and Nixtla Enterprise 2.0, added multivariate modeling and agentic forecasting capabilities. It also noted strong G2 ratings for time series forecasting and predictive analytics, with favorable scores for ease of use, value, and return on investment.
Nixtla said it will use the new capital to strengthen and scale its production-grade models across both its enterprise offerings and open source ecosystem, while expanding hiring across engineering, product, and sales.
KEY QUOTES
“This Series A allows us to accelerate what matters most, building production-ready systems that solve real forecasting and decision-making problems. We’re growing our team with experienced engineers and researchers, investing deeper in product innovation, and continuing to build in the open alongside the practitioners who use our tools every day.”
Max Mergenthaler Canseco, Co-Founder and CEO, Nixtla
“Time series data sits at the center of energy and industrial operations. The Nixtla team is transforming how organizations can use that data, from improving battery deployment schedules to anticipating supply chain interruptions. We’re excited to partner with the Nixtla team as they scale this foundational capability to build a stronger, more resilient economy.”
Juan Muldoon, Partner, Energize Capital; Board Member, Nixtla
