Glean vs Celonis

By valuation, Celonis is the larger company at $13B versus $7.2B — a 1.8x difference. Size can also be measured by team: Glean employs 500 people while Celonis has 1000+ employees.

Celonis has raised more in total funding at $2B, compared to Glean's $770M — a gap of $1.2B. Combined, the two companies have completed 8 known funding rounds.

Celonis leads with an Awaira Score of 90/100, while Glean sits at 82/100. That 8-point gap reflects real differences in funding, scale, and traction — it's not a vanity metric.

Glean was founded by Arvind Jain in 2019. Celonis was founded by Alexander Rinke in 2011. Visit each company's profile on Awaira for a full founder biography.

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. Glean operates in the Enterprise AI sector and is headquartered in United States. Founded in 2019 by Arvind Jain, Glean has raised $770M in total funding, achieving a valuation of $7.2B as of its latest round. The company's funding journey includes a Series A of $30M in 2020, a Series B of $40M in 2021, a Series C of $100M in 2022, a Series D of $200M in 2023, a Series E of $230M in 2024. The most recent round was led by Sequoia Capital. With approximately 500 employees, Glean has established itself as a Series F-stage player in the Enterprise AI market. The company holds an Awaira Score of 82/100, reflecting its strong position across valuation, funding trajectory, team scale, and market influence. Glean competes in a rapidly evolving segment alongside other Enterprise AI companies. Based in United States, Glean is part of a growing international AI ecosystem attracting talent and investment. The Enterprise AI space has attracted significant investment in recent years, with companies racing to capture enterprise and consumer demand for AI-powered solutions. 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 8 years of extra runway. Glean didn't arrive until 2019. In AI, that kind of head start means more training data, deeper customer relationships, and a bigger talent moat.

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