Shipsy vs Celonis

Celonis has a disclosed valuation of $13B, while Shipsy'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 Shipsy's $25M — a gap of $2B. Combined, the two companies have completed 6 known funding rounds.

Celonis leads with an Awaira Score of 90/100, while Shipsy sits at 60/100. That 30-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Shipsy was founded by Soham Chokshi in 2016. Celonis was founded by Alexander Rinke in 2011. Visit each company's profile on Awaira for a full founder biography.

Shipsy: Shipsy is an AI-powered logistics and freight management platform that enables shippers, 3PLs, and freight forwarders to manage multi-modal shipment execution, carrier selection, rate benchmarking, and real-time tracking across road, rail, air, and ocean freight in a unified dashboard. The platform uses AI to optimize carrier allocation, predict delivery delays, and automate customs documentation for cross-border shipments.\n\nThe company raised approximately $25M in Series B funding from investors including Z47 and Sequoia India, and has built a customer base of large enterprises and logistics companies across India, the Middle East, and Southeast Asia managing significant daily freight volumes. Shipsy's rate engine provides real-time freight rate benchmarking that helps procurement teams validate carrier pricing against market rates.\n\nGlobal trade complexity and supply chain disruption have increased demand for intelligent freight management platforms that provide visibility and optimization across fragmented multi-carrier logistics networks. Shipsy's multi-modal coverage and AI-driven optimization position it as a comprehensive logistics intelligence tool for enterprises managing complex international and domestic freight operations. 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 5 years of extra runway. Shipsy didn't arrive until 2016. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Shipsy has about 100-500 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 Shipsy and Celonis compete in Enterprise AI, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.