Transform Hypotheses into Therapies
10x Faster
Your AI-powered Hypothesis Engine To Accelerate Therapeutic Breakthroughs
The Bottleneck
Why R&D Cycles Take Too Long
Scientific potential has never been greater.
But complexity stands in the way of progress.
Breakthroughs in genomics, molecular biology, and disease understanding have unlocked incredible possibilities. Yet realization is slowed by the challenge of stitching together disconnected tools, wrangling fragmented datasets, and orchestrating expertise across siloed domains. Shift the balance from wet lab to in silico and each cycle goes much faster and is cheaper.
The source of complexity is technical. But the cost of complexity is human.
Each hypothesis takes months to explore and years to develop, consuming limited time from highly skilled teams. This creates a bottleneck: exploration is capped by complexity and headcount, not ambition. Countless promising ideas go unexplored. The “activation energy” to ask a new question is too high—leading to strategic conversatism and safer bets on better-known targets.
Innovation stalls, R&D is bottlenecked, and the human patient suffers.

Imagine
AI That Operationalizes Scientific Curiosity
at Scale
Envision an AI collaborator that functions like your organization’s most effective interdisciplinary team, available on demand.
Imagine moving from a limited focus due to conventional methods to significantly opening your R&D aperture. Then, instead of an elongated triage failing to differentiate candidates, you could rapidly narrow your focus to the best ideas and concepts.
The outcome
The best candidates are progressed while downstream wet-lab and scientific resources are deployed with enhanced probability for successful outcomes.
Competitive
Advantage
Better Resource Utilization
Fail Fast and Early
Patent Many Drugs, Quickly
Jarvis is Your AI-Powered Hypothesis Engine and R&D Force Multiplier
Elevate Your Scientists
Unleash Your Potential
Jarvis shoulders the non-strategic burden, automates tool integration, data wrangling, and pipeline debugging, and frees scientific talent from manual scripting and troubleshooting.
The Jarvis AI Platform Elements
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Jarvis Tool Suite
The Jarvis Tool Suite is the scientific workflow orchestration layer, connecting diverse computational tools, proprietary applications, point solutions, and multi-modal capabilities.
Jarvis LLM
The AI component of Jarvis functions as a hypothesis engine, interpreting scientific objectives from natural language prompts and translating them into structured, actionable research plans. It plays a central role in generating the initial multi-step workflows.
Jarvis AI Platform
This is the foundational layer of Jarvis, a science-aware AI platform that seamlessly integrates all components into one scalable environment. It is extensible and fully integrated to support proprietary assets, offering a secure, scalable, transparent, and searchable environment.
Jarvis Data Storage
This component provides virtually unlimited, scalable storage and facilitates seamless integration and access to a wide range of data assets—including experimental data, compound libraries, proprietary results, and both public and private datasets.
EC2 Ultra Clusters
This infrastructure underpins automated execution using a cloud-native architecture across dedicated VPCs, combining scalable GPU and non-GPU compute resources to deliver a secure, high-performance, and fully validated environment.
How much value can AI-driven improvements bring to your organization?
Use the R&D Savings Calculator to find out.
Industries We Serve

Drug Discovery and R&D
Accelerate research and rapidly identify promising candidates.

Drug Manufacturing
Optimize production processes for efficiency, quality, and compliance.

Synthetic Biology and Chemistry
Speed up design cycles with smart modeling and construct optimization.
Imagine Your Pipeline with Jarvis
Are you interested in learning how Jarvis can help you transform hypotheses into therapies 10x faster? Fill out the form to request more information.