Turn your research question into a ready-to-run experiment
Shadow AI helps scientists go from idea to bench-ready experiment design in minutes. It is an AI experiment architect for biopharma scientists: it turns a research question, in plain language, into a complete experiment design - hypotheses, design of experiments (DOE), controls, materials list, and statistical plan.
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Who is Shadow AI for?
Shadow AI is built for scientists in formulation science, drug discovery, analytical chemistry, protein science, and bioprocess development - from individual researchers and postdocs to lab leads running multiple experiments simultaneously. If you plan experiments by hand today, Shadow AI replaces about ten hours of planning per experiment with a few minutes of structured review.
What experiment planning looks like with Shadow AI
- 01 · Scientist - Describe your research problem. Type it in plain language. No templates. You set the direction; Shadow AI picks it up from here.
- 02 · Shadow AI - Literature search and insights. Relevant papers are surfaced and summarized with cited rationale. You finalize which paper to move forward with.
- 03 · Shadow AI - Hypothesis generation with scientific rationale. Structured, ranked, cited hypotheses. You select which to design for.
- 04 · Shadow AI - Bench-ready experiment design. Conditions, replicates, materials, statistical plan. You edit, review, and approve the final design.
Pricing
Shadow AI is priced by runs - one run is a complete experiment design cycle. Explorer is free forever (3 runs/month, 1 project, no credit card). Researcher is $20/month, or $16/month billed annually (12 runs/month, 5 projects). Principal is $100/month, or $80/month billed annually (60 runs/month, unlimited projects). Enterprise is custom-priced with unlimited runs and member accounts. Every plan includes the full toolset; tiers differ only by how many runs you get each month. Verified academic emails get 40% off paid tiers. See the pricing page for the full comparison and the cancellation policy.
Is my research data used to train Shadow AI?
No. Your data is never used to train Shadow AI's models. What you input stays yours. Shadow AI does not share your research with third parties, and you retain full control to export or delete your data at any time. The platform is built to meet institutional research security standards.
How Shadow AI works
Behind a single, plain-language prompt sits a team of 40+ specialized AI agents - a Literature Scout that searches more than 500 million papers, a Hypothesis Agent that generates and ranks 10 cited hypotheses, a DOE Agent, Preparation, Calculation and Procedure Agents that build the protocol, a Statistics Review Agent that sets the analysis plan, and a Report Generation Agent that produces the final downloadable report. The scientist sets direction, picks the hypothesis, and approves the design.
Security and certifications
Shadow AI is built to the security and privacy standards required by pharma R&D and academic institutions: SOC 2 Type II (in preparation), and aligned with ISO 27001 (information security) and ISO 27701 (privacy information management). Customer research data is never used to train Shadow AI's models, never shared with third parties, and is fully exportable or deletable on request.
Trusted by researchers from
Novartis, Northwestern University, Boston University, Texas A&M University, and the University of Illinois - across formulation science, drug discovery, analytical chemistry, protein science, and bioprocess development.
Why scientists choose Shadow AI
- Replaces ~10 hours of manual experiment planning with minutes of structured review.
- Outputs are cited and rationale-first - you can audit every recommendation, not just trust the model.
- Built for biopharma R&D specifically - formulation, drug discovery, analytical chemistry, protein science, bioprocess.
- No signup wall to see the product in action. Free tier covers a real experiment before you commit.