Celonis vs Convin

Celonis has a disclosed valuation of $13B, while Convin'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 Convin's $10M — a gap of $1.4B.

Celonis holds the higher Awaira Score at 90/100, compared to Convin's 55/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 35-point gap that reflects meaningful differences in scale or traction.

Celonis was founded by Alexander Rinke in 2011. Convin was founded by Bharat Patidar 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. Convin: Convin is a conversation intelligence platform that records, transcribes, and analyzes sales and support calls to generate automated coaching, compliance monitoring, and performance benchmarking for contact centers. The platform uses AI to identify winning conversation patterns, flag compliance violations, and auto-score agent performance without manual review.\n\nThe company raised approximately $10M in Series A funding and serves inside sales teams and contact centers in BFSI, edtech, and insurance sectors across India. Convin's auto-quality-assurance feature allows contact center managers to evaluate 100% of calls rather than the traditional 2-5% manual sampling rate.\n\nThe contact center AI market in India is substantial, driven by the country's large outsourced services industry. Convin competes with established players but differentiates through a focus on automated QA and real-time agent guidance, reducing the cost and delay of manual performance management in high-volume call environments.

Celonis was founded first in 2011, giving it 9 years of additional market experience. Convin 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 Convin has approximately 50-200. 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 Convin 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.