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 2024. 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","Reid Hoffman"].
- Founded
- 2024
- 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)","Reid Hoffman (Strategic Investor)","Strategic AI angel investors and research syndicates"]
Notable customers
["Stealth-stage enterprise pilots (Public names not yet disclosed)"]
Major milestones
["Founded in September 2024 by former Cohere and Google Brain executives","Secured $50 million in Seed funding in February 2025, one of the largest seed rounds for an AI startup to date","Launched out of stealth with a focus on challenging the 'scaling race' through model efficiency"]
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.
Official website: https://www.adaption.ai