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Adaption Labs

Category: Foundation Models / LLMs

An AI platform focused on 'adaptable intelligence,' building models that continuously learn and evolve in real-time from real-world experience rather than remaining static after pre-training. Adaption Labs was founded in 2025. The company is led by Sara Hooker. Based in San Francisco, USA. Team size: 10-50. Total funding raised: $50.0M. Latest round: Seed ($50.0M, Feb 2025). Key investors include Emergence Capital, Mozilla Ventures, Fifty Years, Threshold Ventures, Alpha Intelligence Capital, E14 Fund, Neo.

Founded
2025
Headquarters
San Francisco, USA
Team size
10-50
Total funding
$50.0M

Value proposition

Moves beyond the 'pre-train and freeze' paradigm to provide AI that adapts 'on the fly,' reducing the need for costly periodic retraining while maintaining high accuracy in dynamic environments.

Products and solutions

Adaptive Intelligence Platform, Continuous Learning Engine, Efficient Inference Infrastructure, Real-time Model Tuning API

Unique value

Directly challenges the industry's 'scaling race' by prioritizing model efficiency and real-time adaptability over simply increasing parameter counts and compute power.

Target customer

Enterprise organizations, AI developers, and industries requiring high-stakes real-time adaptation such as finance, healthcare, and autonomous systems.

Industries served

Generative AI, Enterprise Software, Finance, Healthcare, Robotics & Autonomous Systems

Technology advantage

Leverages the founders' deep expertise in model efficiency (Sara Hooker) and large-scale inference (Sudip Roy) to enable model updates without the massive computational overhead of traditional gradient-based methods.

How they differentiate

Focuses on 'continuous learning' architectures that adapt in real-time to new data, moving away from the industry-standard 'pre-train and freeze' model. Unlike competitors focusing on RAG (Retrieval-Augmented Generation) or brute-force scaling, Adaption Labs prioritizes model efficiency and on-the-fly weight updates.

Main competitors

Liquid AI, Contextual AI, Lamini, Glean

Key partnerships

Emergence Capital (Lead Investor), Mozilla Ventures, Fifty Years, Threshold Ventures, Alpha Intelligence Capital, E14 Fund, Neo

Notable customers

Stealth-stage enterprise pilots (Public names not yet disclosed)

Major milestones

Founded in 2025 by former Cohere and Google Brain executives Sara Hooker and Sudip Roy, Secured $50 million in Seed funding in February 2026, one of the largest seed rounds for an AI startup to date, Launched out of stealth in October 2025 with a focus on challenging the 'scaling race' through model efficiency, Launched Adaptive Data beta in February 2026, delivering 82% average increase in data quality across 242 languages, Announced Adaption Research Grant Program in March 2026 to support global academic researchers

Growth metrics

Early-stage startup; currently operating with a team of 10-50 employees and an active waitlist for its adaptive intelligence platform.

Market positioning

Enterprise AI infrastructure provider targeting high-stakes industries (finance, healthcare) that require real-time accuracy and data privacy.

Geographic focus

North America (Headquartered in San Francisco)

Patents and IP

No registered patents disclosed as of latest update; IP is centered on proprietary adaptive learning architectures and inference optimization.

About Sara Hooker

Sara Hooker is a distinguished AI researcher who previously served as the VP of Research at Cohere and the Head of Cohere For AI, where she founded and led the company's non-profit research division. Prior to Cohere, she spent over four years as a Research Scientist at Google Brain, focusing on model efficiency and interpretability. Her career began as a Data Scientist at Udemy.

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