- The future requires systems that connect data, models, and tools
- Salt AI platform enables companies to deploy, build, optimize, and run multi-model systems
- Proven impact in drug discovery with complex protein design pipeline
Dan Sheikh
Dan Sheikh is a technology strategist and AI innovator specializing in applying artificial intelligence and data science in regulated industries. With advanced degrees from University College London and the UCLA Anderson School of Management, he bridges deep technical expertise with strategic insight to design AI solutions that are powerful, compliant, and scalable. His work focuses on driving responsible digital transformation that aligns innovation with operational value and regulatory integrity.
Toby Sayre
Toby Sayre is a commercial leader with a background in life sciences and biotechnology consulting, business development, and product strategy. He holds master’s degrees in Cell and Molecular Biology and Biochemistry from San Francisco State University and UCLA. His work bridges bioinformatics, real-world data, and AI-driven software, integrating technical and commercial expertise to advance innovation in the life sciences.
Salt AI
Website: https://www.salt.ai/
- Salt AI is a contextual AI platform purpose-built for the life sciences. We connect data, models, and tools into a unified system that acts intelligently across the pharmaceutical, biotech, and healthcare value chain—transforming the way scientists and enterprises deploy and scale AI.
- Our platform makes the “black box” of enterprise AI transparent and interoperable, enabling seamless collaboration between specialized models and proprietary datasets. Salt’s native compute optimization ensures efficiency and performance—platform benchmarks show workloads like AlphaFold running up to 22× faster than out-of-the-box implementations.
- Designed for both technical and scientific users, Salt offers a visual-first, code-in/code-out interface that combines the flexibility of coding environments with the accessibility of low-code tools. Our engineering teams deploy Salt directly into customers’ preferred infrastructure and support solution development and rollout within 90 days.
- Salt AI is already driving real-world impact—recently accelerating the translation of oncology-focused computational proteins into the wet lab in partnership with the Ellison Medical Institute.
