AI-powered mental health support built on a psychology foundation model
Ash by Slingshot AI operates a mental health conversational AI platform grounded in a custom foundation model trained for psychology. The tech stack—Python, PyTorch, TensorFlow, JAX, Kubernetes, React—reflects a research-first org balancing deep learning infrastructure with product deployment. Active projects span model training (reinforcement learning, language metrics against clinical benchmarks) and commercialization (positioning, launch strategy, product communication), suggesting the team is transitioning from research validation into market adoption while managing data pipeline and model-serving bottlenecks.
Slingshot AI built Ash as a conversational mental health platform leveraging a proprietary foundation model trained specifically for psychology. The company was founded in 2022 and raised a Series A round of $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, and angel investors from major tech companies. The team spans machine learning, product, engineering, conversational design, research, growth, and operations across New York and London offices. The product targets individuals seeking accessible mental health support, positioned against broader barriers to mental health access globally.
Python, PyTorch, TensorFlow, JAX, SQL, Kotlin, React, TypeScript, gRPC, Kubernetes, plus development tools Replit and Cursor for ML engineering and product iteration.
Yes. 5 active roles across engineering, marketing, product, and research, with hiring in the United States and United Kingdom. Roles skew toward manager and senior levels.
New York, NY, with a second office in London. Founded in 2022 and currently 11–50 employees.
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