March 16, 2026 — A joint artificial intelligence accelerator program run by Google and venture firm Accel has selected five Indian startups for its latest cohort, pointedly excluding the multitude of superficial “wrapper” applications that dominated submissions.
The program, called Atoms, reviewed over 4,000 applications. Accel partner Prayank Swaroop told TechCrunch that roughly 70% of rejected proposals were AI wrappers. These startups layered basic AI features like chatbots onto existing software without reimagining core workflows.
Moving Beyond Superficial AI
Investor wariness of wrapper startups is growing as foundational AI model makers continue to add features. Startups that don’t build defensible technology risk becoming quickly obsolete.
“Many applications were not reimagining new workflows using AI,” Swaroop said. He noted that other denied applications fell into crowded sectors like marketing automation and AI recruitment tools, where differentiation is difficult.
The selected startups will receive up to $2 million in funding from Accel and Google’s AI Futures Fund. They also get up to $350,000 in cloud and AI compute credits from Google.
Enterprise Focus Dominates Applications
India’s growing AI ecosystem remains heavily oriented toward business applications. Swaroop said the application pool reflected this trend.
About 62% of submissions focused on productivity tools. Another 13% targeted software development and coding. This means approximately three-quarters of all proposals were for enterprise software rather than consumer products.
Swaroop expressed a desire to see more applications in sectors like healthcare and education. The program received nearly four times the applications of previous Atoms cohorts, with many first-time founders applying.
Selected Startups and Strategic Goals
Jonathan Silber, co-founder and director of Google’s AI Futures Fund, said the five chosen companies align with areas where Google expects deeper real-world AI adoption. The program does not mandate exclusive use of Google’s models.
“If a company is using an alternative model, that means Google has work to do to build the best model in the market,” Silber told TechCrunch. He described a strategic “flywheel” where startup feedback helps Google DeepMind teams improve future models.
The selected startups for the latest cohort are:
- K-Dense: Building an AI “co-scientist” to accelerate research in life sciences and chemistry.
- Dodge.ai: Developing autonomous agents for enterprise ERP (Enterprise Resource Planning) systems.
- Persistence Labs: Focusing on voice AI for call center operations.
- Zingroll: Creating a platform for AI-generated films and shows.
- Level Plane: Applying AI to industrial automation in automotive and aerospace manufacturing.
Broader Investment Context
The Atoms program, announced in November, specifically targets early-stage startups building AI products with links to India. The initiative is part of a larger wave of AI investment in the region.
Industry analysts note that the selection criteria signal a maturation phase for AI venture capital. The focus is shifting from easily replicable applications to startups solving complex, domain-specific problems with proprietary technology.
According to NASSCOM reports, India’s AI market is projected for significant growth, driven by enterprise adoption. Programs like Atoms aim to cultivate a pipeline of startups that can compete globally in applied AI sectors beyond simple automation.
The next steps for the five startups involve intensive mentorship and development support from both Google and Accel teams. Their progress will be closely watched as a barometer for the next wave of Indian AI innovation.
This article was produced with AI assistance and reviewed by our editorial team for accuracy and quality.
