Celonis vs DevRev

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

Celonis has raised more in total funding at $1.4B, compared to DevRev's $100M — a gap of $1.3B.

Celonis holds the higher Awaira Score at 90/100, compared to DevRev's 63/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 27-point gap that reflects meaningful differences in scale or traction.

Celonis was founded by Alexander Rinke in 2011. DevRev was founded by Dhruv Jain in 2020. Visit each company's profile on Awaira for a full founder biography.

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. DevRev: DevRev is an AI-powered platform that connects product development and customer success workflows, enabling companies to link customer issues, feature requests, and support tickets directly to engineering work items, creating a continuous feedback loop between what customers experience and what developers build. The platform combines CRM, issue tracking, and AI-powered customer insight synthesis into a unified product-led growth tool.\n\nThe company raised approximately $100M from investors including Khosla Ventures and Mayfield Fund, with a founding team that includes veterans from Nutanix with a track record of building enterprise infrastructure companies. DevRev has attracted customers among SaaS companies seeking tighter alignment between go-to-market and product development organizations.\n\nThe traditional separation of CRM and engineering tools creates significant information loss as customer feedback fails to systematically inform product prioritization. DevRev's integrated approach addresses this alignment problem with AI that surfaces customer-validated priorities for engineering teams, targeting a workflow integration gap that has been underserved by both CRM vendors and project management tools.

Celonis was founded first in 2011, giving it 9 years of additional market experience. DevRev was founded later in 2020. In AI, even a year or two of head start can translate into significantly more training data, customer relationships, and institutional knowledge.

Celonis has approximately 1000+ employees, while DevRev has approximately 200-500. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, Celonis and DevRev are direct competitors — both operate in the Enterprise AI space and likely target overlapping customer segments. This comparison is especially relevant for buyers evaluating both platforms.