Nextail vs Celonis

Celonis has a disclosed valuation of $13B, while Nextail's valuation is not publicly available, making a direct size comparison difficult. Celonis employs 1000+ people.

Celonis has raised more in total funding at $2B, compared to Nextail's $17M — a gap of $2B. Combined, the two companies have completed 6 known funding rounds.

Celonis leads with an Awaira Score of 90/100, while Nextail sits at 43/100. That 47-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Nextail was founded by Joaquin Villalba in 2014. Celonis was founded by Alexander Rinke in 2011. Visit each company's profile on Awaira for a full founder biography.

Nextail: Nextail provides AI-powered retail merchandising and inventory optimisation software that helps fashion and apparel retailers manage stock allocation, transfer, and replenishment decisions across omnichannel networks using demand forecasting models and optimisation algorithms. The Madrid company focuses on the specific challenge of fashion retail, where short product lifecycles, large SKU proliferation, and seasonal demand patterns make traditional rule-based inventory management ineffective.\n\nThe company raised approximately $17 million in venture funding from investors including Target Global and JME Venture Capital. Nextail counts mid-market and premium fashion retailers across Europe and the Americas among its clients, deploying its platform to optimise inventory allocation decisions at the store, region, and channel level. The platform integrates with retail ERP and point-of-sale systems to consume transaction data and produce daily allocation and transfer recommendations that buyers and merchandisers execute through their existing workflows.\n\nNextail competes in the AI retail optimisation market against Blue Yonder, o9 Solutions, and RELEX Solutions, which address broader supply chain planning, as well as specialist fashion AI vendors including Heuritech and Impact Analytics. Fashion retail AI presents distinct modelling challenges compared to grocery or general merchandise optimisation because fashion demand is trend-driven and non-repeating, requiring models that can forecast demand for products with no sales history. The company focus on the fashion vertical gives it concentrated domain expertise in a segment where generic supply chain optimisation tools frequently underperform. Celonis: Celonis builds a process mining and execution management platform that uses machine learning to extract, visualise, and optimise business processes from event log data in enterprise systems including SAP, Oracle, Salesforce, and ServiceNow. The Munich company platform connects to enterprise software transaction records, reconstructs actual business process flows from data, identifies inefficiencies and compliance deviations, and provides AI-powered recommendations for process improvement.\n\nThe company raised approximately $1.4 billion including a $1 billion Series D round in 2021 from investors including Arena Holdings, Durable Capital, and T. Rowe Price, valuing it at $13 billion and making it one of Germany most valuable private technology companies. Celonis counts over 1,000 enterprise clients including Siemens, Uber, 3M, and Vodafone, with large deployments across order-to-cash, procure-to-pay, and accounts payable processes generating measurable working capital improvements and operational cost reductions.\n\nCelonis created the process mining software category and competes against SAP Signavio, IBM Process Mining, and Minit in a market it largely invented. The company has expanded from analytical process mining tools into execution management, embedding AI recommendations directly into enterprise workflows rather than producing reports for human review. This execution layer differentiates Celonis from pure analytics vendors and creates a stickier product that becomes embedded in operational processes rather than consumed as a standalone analysis tool.

Celonis got there first, launching in 2011 — that's 3 years of extra runway. Nextail didn't arrive until 2014. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Nextail has about 1-50 employees; Celonis has about 1000+. A bigger team usually means more revenue or heavier VC backing, but in AI, small teams can build at massive scale.

Yes — they're direct rivals. Both Nextail and Celonis compete in Enterprise AI, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.