Celonis vs Glean

By valuation, Celonis is the larger company at $13B versus $4.6B — a 2.8x difference. Size can also be measured by team: Celonis employs 1000+ people while Glean has 500 employees.

Celonis has raised more in total funding at $1.4B, compared to Glean's $600M — a gap of $800M. Combined, the two companies have completed 5 known funding rounds.

Celonis holds the higher Awaira Score at 90/100, compared to Glean's 82/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 8-point gap that reflects meaningful differences in scale or traction.

Celonis was founded by Alexander Rinke in 2011. Glean was founded by Arvind Jain in 2019. 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. Glean: Glean is an enterprise AI search and discovery platform founded in 2019 that helps organizations extract actionable insights from internal data. The company operates in the enterprise AI category, providing AI-powered search capabilities across fragmented corporate information systems including documents, emails, chat messages, and databases. Glean's core technology uses machine learning to understand context and intent, enabling employees to find relevant information and answers across previously disconnected data sources. The platform serves large enterprises seeking to improve productivity and knowledge accessibility. Glean competes in the growing enterprise search and generative AI market alongside companies like Perplexity and traditional search providers adapting to AI. The company has raised $600 million across multiple funding rounds, reaching a valuation of $4.6 billion as of its Series E stage. This funding positions Glean among well-capitalized AI startups addressing enterprise information retrieval challenges. The company targets mid-to-large organizations where data silos and information discovery present operational inefficiencies. Glean's growth trajectory reflects broader enterprise adoption of AI-powered search solutions as organizations increasingly prioritize knowledge worker productivity and unified information access across their technology stacks. Glean specializes in enterprise-specific AI search that unifies fragmented internal data sources rather than external web indexing.

Celonis was founded first in 2011, giving it 8 years of additional market experience. Glean was founded later in 2019. 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 Glean has approximately 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 Glean 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.