Sentient Labs has introduced the Recursive Open Meta Agent (ROMA), an open-source breakthrough that is rapidly gaining recognition as a pivotal milestone for India’s AI innovation landscape. Positioned not as a typical large language model but as a novel reasoning architecture, ROMA aims to transform how artificial intelligence interprets, manages, and executes complex problems through dynamic recursive task planning.
Himanshu Tyagi, co-founder of Sentient Labs, explained to AIM that ROMA represents a leap beyond current AI systems driven by opaque decision-making. He emphasized that “ROMA isn’t a model but a reasoning architecture, built to rethink how AI plans, coordinates and solves complex problems through its recursive task tree.” Leveraging its Atomiser and Planner working in synchronized cycles, ROMA decomposes objectives into granular, traceable tasks—bringing much-needed transparency to AI-powered actions and outcomes.
Tyagi also took a strong stance on the global safety narrative in artificial intelligence, saying big tech often employs “semantic gymnastics” to justify their dominance, while limiting visibility into critical internal processes. He argued that “true safety comes from openness and auditability.” To that extent, ROMA’s architecture is crafted so that every reasoning trace — from tool invocation to error detection — is visible to developers and researchers. This marks a clear shift away from black-box proprietary technologies that restrict public oversight.
ROMA is equally rooted in an open collaborative ethos. Its “borderless AI” framework invites global contributors to integrate models and agents without reliance on centralized enterprise infrastructure. Co-founder Sandeep Nailwal, known for co-creating Polygon and helping reshape decentralized finance, sees this initiative as a natural progression. For him, “Sentient is an attempt to decentralise intelligence itself. Intelligence should be a public good,” he said, noting that “no single company can out innovate a global open community.”
Early benchmarks suggest ROMA’s promise is more than conceptual. “ROMA’s early results back this up, with ROMA Search hitting 45.6 percent accuracy on Seal 0, surpassing Kimi Researcher and even Gemini 2.5 Pro,” demonstrating how open-source reasoning engines may soon outperform their centralized counterparts.
As ROMA matures, Sentient Labs hopes to catalyze a future where AI intelligence is democratized, auditable, and driven by collective global innovation rather than corporate control.
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