Gibran Secures $2.6 Million to Build Nature-Inspired, Adaptive Intelligence
- Gibran raised $2.6M led by Together Fund to develop adaptive, nature-inspired AI systems that augment human creativity and decision-making.
- The startup integrates evolutionary biology and complex adaptive systems with LLMs, focusing on human-aligned, evolving AI rather than automation.
- Founded by experts in biology, AI, and product design, Gibran will use the funds to grow its research team and build its core platform.
Gibran, an AI research startup, has raised $2.6 million in a seed funding round led by Together Fund to develop adaptive, nature-inspired artificial intelligence systems. The Bengaluru and US-based company is reimagining how AI collaborates with humans not to replace them, but to augment creativity, decision-making, and autonomy.
Gibran draws inspiration from evolutionary biology and complex adaptive systems to design AI that evolves with human users. “AI shouldn't replace people; it should expand how they think, create, and decide”, said Co-founder Govind Balakrishnan. The startup aims to go beyond the conventional paradigm of automation and scale by integrating large language models with principles found in natural systems.
The founding team includes Balakrishnan, who leads product vision and go-to-market efforts, alongside Edgar, a generative systems expert, Srikant Chakravarti, who specializes in distributed AI infrastructure, and evolutionary biologist and complexity theorist Suzanne Sadedin.
Together Fund, known for supporting AI-native ventures across the India-US corridor, praised Gibran’s unique approach. “This is not just about productivity it’s about human flourishing”, said Manav Garg, founding partner at Together Fund.
Gibran will use the fresh capital to expand its research team, enhance its core platform, and explore early applications in domains requiring adaptive, human-aligned AI systems. At a time when many AI startups rely on commoditized large language model wrappers, Gibran is carving out a niche by building systems that are self-organizing, context-sensitive, and closer in spirit to biological intelligence than to rigid programming logic.
With its interdisciplinary team and bold vision, Gibran is positioning itself at the frontier of AI innovation where machines learn and grow in tandem with the people they serve.
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