AI Landscape
Data / model explosion
Exponential data growth will continue, fueled by digitization. Specialized models proliferate to address niches
Systems of models & data
Models with different skills, training prompting, and connections must work together towards community level tasks
Digital & execution win
Enterprise deployments cross data silos, compliance firewalls, and regulatory constraints
Context is computational
System prompts, action prompts, workflow design, data to focus attention, proprietary data to fill gaps (RAG) - All of this must be part of a software layer available for computation and modeling
Infrastructure complexity
Enterprises require complex deployments that can navigate proprietary data barriers, compliance firewalls, and regulatory limitations
How it works
A single platform to deploy, build, optimize, and run multi-model systems — purpose-built for regulated, scientific, and operational environments
Salt AI Platform
txt2anything
Partner Ecosystem
Seamlessly integrates within the Salt AI platform
How it works
Transparent collaboration, powerful results
Key features
Track versioned runs and compare model outputs.
Hot-swap models while preserving pipelines.
Enable non-coders to make live changes safely through drag-and-drop nodes with exposed parameters
Data is vectorized at the workflow level
Use cases
Compliant deployments
Deployment modes
Lightweight mode: A compact, all-in-one single-machine setup ideal for rapid prototyping, pilot studies, and development environments. It minimizes setup time so you can focus on breakthroughs.
Scalable mode: Multi-node architecture with separated core services and runners. It enables parallel processing to handle growing datasets and complex simulations without bottlenecks.
Enterprise mode: High-availability autoscaling on cloud infrastructure. It is designed for mission-critical biomedical applications that demand uninterrupted performance and reliability under heavy loads.
On-prem, VPC, or air-gapped deployment: Securely install behind your firewall. Leverage existing compute resources like GPUs, HPC clusters, or hybrid cloud setups—perfect for sensitive research environments requiring data sovereignty.
Compliance and trust
Fully SOC 2 and HIPAA compliant. It safeguards patient data and intellectual property with enterprise-grade security standards.
Built-in traceable retrieval, comprehensive audit trails, and support for 21 CFR Part 11-ready pipelines. It ensures regulatory adherence for FDA-validated processes and fosters confidence in every step of your biomedical pipeline.

























