Captions vs Celonis

By valuation, Celonis is the larger company at $13B versus $500M — a 26x difference. Size can also be measured by team: Captions employs 150 people while Celonis has 1000+ employees.

Celonis has raised more in total funding at $2B, compared to Captions's $100M — a gap of $1.9B. Combined, the two companies have completed 5 known funding rounds.

Celonis leads with an Awaira Score of 90/100, while Captions sits at 67/100. That 23-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Captions was founded by Gaurav Misra in 2021. Celonis was founded by Alexander Rinke in 2011. Visit each company's profile on Awaira for a full founder biography.

Captions: Captions is an enterprise AI company founded in 2021 that develops video understanding and analysis technology. The platform uses computer vision and machine learning to automatically generate captions, transcripts, and metadata from video content at scale. Captions serves organizations across media, enterprise communications, and compliance-heavy industries that need to process large volumes of video efficiently. The company's core technology focuses on speech-to-text conversion, speaker identification, and content indexing to make video searchable and accessible. Its platform integrates with existing video infrastructure and content management systems, enabling automated compliance, accessibility, and discoverability workflows. Notable applications include internal communications, training video management, and regulatory compliance documentation. Captions has raised $100 million in total funding and achieved a $500 million valuation as of Series C stage. The company competes in the growing market for enterprise video AI alongside providers like Rev and other transcription platforms, while differentiating through video-specific capabilities and enterprise-grade infrastructure. The funding trajectory reflects investor confidence in the video accessibility and searchability market, though Not disclosed regarding specific customer counts or revenue metrics. Growth appears tied to increasing enterprise demand for automated video processing and compliance documentation. Captions addresses the enterprise need to make video content machine-readable and searchable through automated AI analysis rather than manual workflows. 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 10 years of extra runway. Captions didn't arrive until 2021. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

Captions has about 150 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 Captions and Celonis compete in Enterprise AI, targeting many of the same buyers. If you're evaluating one, you should be looking at the other.