Company profile

adaption Tech Stack

AI research lab building models that adapt in real time without retraining

Technology, Information and Internet San Francisco 11–50 employees Privately Held

Adaption is a San Francisco AI lab building models that keep learning from real-world interaction instead of relying on costly retraining cycles. Its stack spans training (PyTorch, JAX), inference serving (vLLM, SGLang, TensorRT-LLM) and GPU-level work (CUDA, NCCL, Triton), pointing to full-stack optimization. Hiring is research-led and senior-heavy, with a new GTM Lead role signaling an early push to build a commercial engine.

Tech Stack 31 technologies

Core StackPython PyTorch TensorFlow C++ Rust React TypeScript HubSpot Figma Ashby Apache Spark Apache Flink Go Kubernetes Apache Iceberg JAX vLLM SGLang TensorRT-LLM CUDA NCCL OpenAI API Triton Discord Notion LinkedIn Recruiter Ray Apache Beam Dask Ray Data+1 more

What adaption Is BuildingChallenges and projects from their job posts

◆Challenges

AI models frozen, not adapting to the world
Achieving model and system-wide efficiency gains
High cost of synthetic data generation
No established GTM playbook or commercial engine
Entering a competitive market

▲Active Projects

Real-time model adaptation and learning
Cross-stack optimization
Feedback-driven adaptive algorithm design
Synthetic data steering for model improvement
Gradient-free exploration methods
Real-time algorithm co-design

Hiring Activity

Steady40 roles · 10 in 30d

Department

Research

Engineering

Sales

Seniority

Senior

Junior

Mid

Notable leadership hires: GTM Lead

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About adaption

Adaption develops AI systems designed to adjust as real-world conditions change, aiming for efficient intelligence across domains, languages and operational constraints. The company is privately held, headquartered in San Francisco, and employs 11–50 people. Its team is concentrated in research and engineering, with a small sales function forming around a GTM Lead. Adaption recruits across North America, Europe, Latin America and Asia, including the United States, Canada, Germany, France, the United Kingdom, India and Singapore.

HeadquartersSan Francisco

Company Size11–50 employees

Hiring MarketsGermany, Canada, France, Netherlands, India, Mexico, United Kingdom, United States

Frequently Asked Questions

What tech stack does Adaption use?

Adaption uses Python, PyTorch, JAX and TensorFlow for modeling, vLLM, SGLang and TensorRT-LLM for inference, CUDA, NCCL and Triton for GPU work, plus Ray, Spark, Flink, Kubernetes and Apache Iceberg for data and infrastructure.

Is Adaption hiring researchers?

Yes. Research is Adaption's largest hiring area, followed by engineering, with mostly senior-level roles and a smaller sales effort led by a GTM Lead position.

What countries does Adaption hire in?

Adaption hires in the United States, Canada, Mexico, Argentina, the United Kingdom, Germany, France, the Netherlands, Portugal, India and Singapore.

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How this profile is built

adaption's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.