DevRev vs Galatek

Neither company has publicly disclosed a valuation, making a definitive size comparison difficult. DevRev employs 200-500 people, while Galatek has 1-50 employees.

DevRev has raised $100M in disclosed funding across 0 known rounds. Galatek's funding history is not publicly available.

DevRev holds the higher Awaira Score at 63/100, compared to Galatek's 30/100. The Awaira Score is a composite metric factoring in valuation, funding, stage, team size, and market presence — a 33-point gap that reflects meaningful differences in scale or traction.

DevRev was founded by Dhruv Jain in 2020. Galatek was founded by Wei Huang in 2019. Visit each company's profile on Awaira for a full founder biography.

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. Galatek: Galatek develops AI customer engagement and personalisation tools for enterprise clients in retail, financial services, and telecommunications, applying machine learning to customer behavioural data to generate personalised content, product recommendations, and communication timing optimisation across digital customer touchpoints. The Singapore company targets enterprises in Southeast Asia seeking to improve customer retention and revenue per user through AI-driven personalisation at scale.\n\nThe company is early stage with seed-level funding from Singapore and regional venture investors. Galatek builds on the availability of rich digital behavioural data from Southeast Asian consumer platforms to train personalisation models that improve engagement metrics across email, app push notification, and in-product recommendation surfaces.\n\nGalatek operates in the customer engagement AI market alongside Braze, Klaviyo, and regional personalisation platforms. Southeast Asia digital consumer market, characterised by high mobile penetration, young demographics, and rapidly growing e-commerce adoption, creates favourable conditions for AI personalisation tools that can increase conversion and retention in competitive consumer-facing industries. The company early stage reflects the broader opportunity in bringing enterprise AI personalisation capabilities to Southeast Asian businesses that have not yet adopted the ML-driven engagement optimisation tools that have become standard at large Western technology companies.

Galatek was founded first in 2019, giving it 1 year 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.

DevRev has approximately 200-500 employees, while Galatek has approximately 1-50. A larger team often signals higher revenue or venture backing, but in AI, smaller teams are increasingly capable of building at scale.

Yes, DevRev and Galatek 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.