StudyAI
It’s a match!
Clinical Study Data and AI
Enable full data integrity and regulatory compliance while streamlining clinical study data management and automated reporting.
Our context-first AI approach keeps clinical data within your validated system while using advanced AI to transform research workflows into intuitive, natural-language interactions.
It’s a match! Clinical Study Data and AI
Enable full data integrity and regulatory compliance while streamlining clinical study data management and automated reporting. Our context-first AI approach keeps clinical data within your validated system while using advanced AI to turn research workflows into intuitive, natural-language interactions.
Artificial Intelligence
Transform Your Clinical Research with AI-Powered Data Intelligence
Designed for Regulated Work
By design, a context-first approach shares only the data structure with the AI, such as column names and formats, and keeps results inside StudyGen 360. Advanced assistance therefore fits how a regulated lab already works, with the lab’s own reviewers deciding every output.
Natural-Language Requests
Complex requests for tables, graphs, and report structures become ready configurations through a simple conversation, with no developer involved and no ticket to wait on. Each answer arrives in the same exchange, and you can refine a request with a follow-up sentence until it fits the need.
Configured for the Bioanalytical Lab
StudyAI is configured for bioanalytical work, so it interprets requests in the context of how study data is structured and handled, and the regulatory framework around it. A scientist can ask in everyday terms and receive a configuration that fits the study at hand.
Reproducible Analysis Workflow
Traceable steps and audit trails give reproducible results: a saved configuration returns the same output on the same data, so QC has one setup to check instead of a new one each time. Each configuration is first tested on anonymized seed data and remains open to the lab’s own validation.
Key Features
Sample-to-Report Workflow Automation For Any Bioanalytical Lab
Autonomous Data Management
AI keeps a human in the loop to handle data validation, quality checks, and EDC system integrations across all StudyGen 360 products.
Natural-Language
Requests
Natural-Language Requests
A plain description of what is needed becomes a ready configuration, with no developer involved.
Data Stays In, Updates Stay Controlled
The AI builds from data structure only, results stay inside StudyGen 360, and every AI update is risk-assessed, tested, and signed off.
Reusable Configurations
Each request becomes a standard configuration that the lab can save and reuse for every report.
Verified Before You See It
Every configuration is checked against anonymized seed data before it reaches the user.
Fast, Traceable Review
Source data stays visible next to each result, keeping the lab’s own review quick and audit-trailed.
Context-First AI Approach
Natural Language IN
Validated-Ready Configuration OUT
StudyAI’s context-first approach changes how scientists work with their study data. StudyAI uses a large language model configured for bioanalysis. The platform provides the data structure, such as column names and formats, and keeps the results inside StudyGen 360. When a scientist makes a request in natural language, the AI interprets not just the words but their specific meaning in the bioanalytical context. The request becomes a study-report configuration, checked against anonymized seed data and executed inside StudyGen 360.
From Prompt to Live Report in Six Steps
See how StudyAI turns natural language into tables, charts, and experiments directly on your study data.
Request — Natural Language Prompt
- Report described in plain language
- Example layout provided with the prompt
- Results rendered on the study’s own data
- Any rule or condition the lab needs, added on the spot
Clarify — Human in the Loop
- Understanding confirmed before anything is built
- Tables and charts combined in one view
- Source data visible beside each result
- Final judgment left to the lab’s reviewers
Generate — On-Screen Result
- Preview opened within the same chat
- Individual table, graph, or report section
- Summary of any study’s key figures
- Identical outcome on each rerun of the same setup
Refine — Iterative Feedback
- Give feedback via comment or screenshot
- AI corrects charts in the next turn
- Scale or layout changed with a sentence
- Each adjustment applied to the earlier result, with no restart
From Plain-Language Prompt to a Working Study Report
Workflow, architecture, and AI governance on two pages. Share it with your QA and IT.
A Smarter Way to Work
in the Bioanalytical Lab
StudyAI within StudyGen 360
Accelerated Timelines
AI shortens the road from a question to a finished report. StudyAI turns a plain-language request into a report configuration within the same conversation, so a new table or graph no longer waits in a developer queue. By design, the platform shares only the data structure with the model, and the only other input is whatever a user types or pastes into the chat. The future of study reporting lies in letting the intelligence work from the shape of the data, while the results stay where they are.
From One Sentence to a Reviewed Result
StudyAI brings generative AI into the study report while keeping the rigor a regulated lab requires. Each instruction is turned into a standard configuration, tried on anonymized seed data, and executed by the platform itself, so the outcome is reproducible, inspectable and open to the lab’s own validation. The model proposes, the platform calculates, and the lab decides.
What this Means for Your Lab
Reports Without a Queue
A new table or graph arrives within the same conversation, with no developer ticket.
Work That Stays on the Platform
Whatever is created is saved with its date, author, and version, and can go to any study.
Output Ready for Inspection
Each configuration is standard, tried first on anonymized seed data, and available for the lab’s own validation.
Oversight Within Reach
Source data stays visible beside every result, so reviewers can assess it quickly.
Relevant Industries
Large AND Small Molecules
Advanced reporting for PK/PD studies, method validation, and bioequivalence trials. Automated generation of calibration curves, dilution summaries, and statistical analyses with built-in validation checks.
Multi-Run Assay Control
Multi-run QC management with automated trend analysis, statistical process control, and real-time monitoring. Intelligent assay drift detection, outlier assessment, and run-to-run comparability with regulatory-compliant documentation.
Immunogenicity
Comprehensive immunogenicity evaluation tools with automated ADA screening, confirmatory assays, and neutralizing antibody assessments. Statistical evaluations tailored to regulatory requirements.
Stability
Dedicated stability testing workflows with automated trend analysis, shelf-life predictions, and regulatory-compliant stability reports. Real-time monitoring of critical quality parameters.
Your Journey Starts Here
Ready to explore Artificial Intelligence opportunities in bioanalytical labs?
Experience the power of StudyGen 360’s integrated platform.
Scalable Solution for Any Lab Size
Whether you’re a small research lab or a large pharmaceutical company, StudyGen 360 scales with your needs. Learn more here!
Your Journey Starts Here
Ready to explore Artificial Intelligence opportunities in bioanalytical labs?
Experience the power of StudyGen 360’s integrated platform.
Scalable Solution for Any Lab Size
Whether you’re a small research lab or a large pharmaceutical company, StudyGen 360 scales with your needs. Learn more here!