AI research startup Gibran raises $2.6 million funding from Together Fund

Gibran, a newly launched AI research startup, has raised $2.6 million in seed funding from Together Fund to develop a new class of adaptive, scale-free AI systems modeled on principles from nature and evolutionary biology. The investment marks Together Fund’s latest bet on foundational AI, led by founding partners Girish Mathrubootham of Freshworks and Manav Garg of Eka Software. The firm said Gibran’s approach—fusing large language models with self-organizing, biologically inspired architectures—was “one of the most original ideas” it had encountered in the field. Founded by Govind Balakrishnan, Srikant Chakravarti, Suzanne Sadedin, and Edgar Duéñez-Guzmán, Gibran aims to reimagine how machines collaborate with humans in open-ended, creative domains—ranging from drug discovery to education. Balakrishnan and Chakravarti previously co-founded Curio, an AI-powered audio news companion that operated for eight years before shutting down in January 2025. They are joined by Sadedin, an evolu

AI research startup Gibran raises $2.6 million funding from Together Fund

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Gibran, a newly launched AI research startup, has raised $2.6 million in seed funding from Together Fund to develop a new class of adaptive, scale-free AI systems modeled on principles from nature and evolutionary biology.

The investment marks Together Fund’s latest bet on foundational AI, led by founding partners Girish Mathrubootham of Freshworks and Manav Garg of Eka Software. The firm said Gibran’s approach—fusing large language models with self-organizing, biologically inspired architectures—was “one of the most original ideas” it had encountered in the field.

Founded by Govind Balakrishnan, Srikant Chakravarti, Suzanne Sadedin, and Edgar Duéñez-Guzmán, Gibran aims to reimagine how machines collaborate with humans in open-ended, creative domains—ranging from drug discovery to education.

Balakrishnan and Chakravarti previously co-founded Curio, an AI-powered audio news companion that operated for eight years before shutting down in January 2025. They are joined by Sadedin, an evolutionary biologist who uses AI and simulations to study cognition, and Duéñez-Guzmán, a generative systems researcher.

“Our central thesis is that AI should not replace humans, but rather evolve with them,” said Balakrishnan in a statement. “That means building systems that learn not just from data, but from people—continuously and contextually.”

The startup’s early focus will be on domains where large labeled datasets are sparse, such as drug discovery and theoretical science. In such settings, Gibran’s AI agents aim to recombine known patterns to propose novel hypotheses or molecular structures—augmenting human creativity and decision-making rather than automating it.

Unlike traditional AI that relies on massive pretraining datasets and fixed parameters, Gibran is developing what it calls “scale-free” models—adaptive systems capable of evolving through interaction with users and environments over time.

According to a statement by Together Fund, the research will explore foundational architectures where autonomy, ethical alignment, and learning are continuous rather than static. These models could eventually serve as co-pilots for scientific discovery, creative production, and personalized education.

Manav Garg of Together Fund said such systems could revolutionize not only biomedicine but also filmmaking, design, and learning. “This is not just about productivity. It’s about human flourishing,” he said.

Gibran’s AI agents, he added, could become lifelong learning companions—growing with students or creators, learning their styles and goals, and adapting accordingly.

The seed funding will be used to expand Gibran’s research team, build its core platform, and begin surfacing early applications in scientific domains. Initial R&D outputs are expected by December 2025.

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