Three Ways to Deploy AI in Your Drug Discovery Pipeline
SandboxAQ offers three ways to access and deploy our LQMs
Seamless LQM Integration
Plug our LQMs directly into the chat interface your team already uses every day. No rebuilding your stack, no retraining your people, just run scientific queries through your existing environment. We meet you where you are.
Enterprise Licensing
Keep your models and data inside your walls. Train them on your proprietary chemistry, spin up specialized modules when you need them, binding prediction, generative design, whatever your R&D actually requires and scale inference at your own pace. Full ownership, zero vendor lock-in.
Frontier Partnerships
If you're building something that doesn't exist yet, let's build it together. We commit long-term funding and scientific expertise to your mission, share milestones and risk, and own a piece of what we create. This isn't outsourcing, its partnership with real skin in the game on both sides.
A Scalable Path for AI-Led Discovery
As the market for AI applications in drug discovery 2026 expands, the winners will be platforms that connect computational insight to day-to-day R&D decisions. SandboxAQ’s approach supports that shift by combining predictive modeling, simulation, and enterprise deployment into one workflow. For teams looking at AI drug discovery companies or tracking the latest drug discovery AI news, the priority should be clear: choose a system that improves hit rates, shortens cycles, and supports scalable scientific execution.
