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Generative AI   for Clinical Trials

Trial-Ready Insights from Patient Data in 0.2 Seconds

We automate site-level data analysis to accelerate patient recruitment, reduce dropouts, and help clinical trials run faster.

liveLivematching ClinicalTrials.gov trials with our patient database

25M+

Patient records

1000+

General practices

25+

Partners

Clinical Trial Challenges and Industry Problems

Discover why 80% of clinical trials fail to meet enrollment deadlines and how modern AI technology is solving decades-old challenges in patient recruitment, data management, and trial efficiency. Learn about the $1.3 billion average cost of bringing a new drug to market and the critical bottlenecks slowing down life-saving treatments.

Why Clinical Trials Still Struggle?

Every clinical trial begins with a promise: to bring new treatments to patients faster. But behind the scenes, the reality looks very different.

Four Major Challenges in Clinical Trial Management

Clinical trials face critical challenges including poor lead quality with 95% of patient leads not meeting criteria, time-consuming manual screening averaging 40 minutes per patient, massive patient drop-off with conversion rates as low as 0.22%, and costly delays that can result in $1.3 million lost per day for pharmaceutical companies.
Patient Lead Quality Crisis icon

Patient Lead Quality Crisis

Sites generate 1000's of patient leads, but most don't meet trial criteria. Teams spend weeks chasing the wrong candidates.

95% of leads don't meet criteria

Key Statistics About Clinical Trial Challenges

  • 80% of clinical trials fail to meet enrollment timelines
  • 30% of trial time is spent on patient recruitment
  • Average trial delay: 4-6 months
  • Cost of drug development: $1.3 billion on average
  • Patient dropout rate: 30% across all trials
  • Site activation time: 6-8 months average

Common Clinical Trial Problems We Solve

  • Patient recruitment and retention challenges
  • Complex eligibility criteria matching
  • Data management and integration issues
  • Multi-site coordination difficulties
  • Regulatory compliance complexity
  • Real-time monitoring limitations
  • Adverse event reporting delays
  • Protocol deviation management

How Srotas Health Addresses These Challenges

Our AI-powered platform transforms clinical trial management by automating patient matching, streamlining data collection, and providing real-time insights that reduce delays and improve outcomes. With advanced machine learning algorithms, we help sponsors and CROs overcome traditional barriers to trial success.

See Srotas Health in Action

Watch how our AI platform automates the entire recruitment journey - from analyzing real-world data to enrolling qualified patients.

Explore how Srotas Health improves clinical trials with AI Screening Agent for faster eligibility checks, Study Feasibility insights to optimize trial design, and Patient Matching to connect the right patients quickly.

Study Feasibility mobile demo 1

Empowering Every Stakeholder in Clinical Research

Making clinical research more accessible, efficient, and impactful for everyone.

We empower clinical trial stakeholders including Sites, CROs, and Pharma with AI-driven tools that accelerate patient recruitment, improve feasibility, and cut costs.

Sites icon

Sites

AI Agents cut down screening time by 9000x and trial matching from 30 minutes to 0.2 seconds. Frees up staff time to focus on patients while boosting enrollment success.

CROs icon

CROs

Leverage a network of 1,000+ UK GPs and 2,500 Indian sites to speed up feasibility and recruitment. Monitor site level performance with realtime AI dashboards.

Pharma icon

Pharma

Validate study feasibility upfront with access to 25M+ patient records. Identify the best-fit CROs and sites, forecast enrollment, and reduce trial costs.

Value We Create badge iconValue We Create To Our Customers

90% Faster Than Manual Trial Matching

Connect every patient to the right study instantly, saving 10+ hours a week and minimizing clinician workload.

Study Feasibility With 25M+ Patient Records

Analyze data from 1,000+ practices to validate protocols, forecast enrollment, and identify the right sites with >90% accuracy.

Cut patient dropouts by 30% with predictive AI

Up to 99% of patients are lost before enrollment. Our AI flags high-risk dropouts early, from leads identified to prescreening so sites focus on the right patients.

Core Features

Deploy On-Premise or in Your Private Cloud

We keep your data safe and compliant by deploying our technology directly within your environment, no data ever leaves your systems.

Learn More
Illustration of AI Agents assisting patient screening

AI Agents for Screening

Our AI agent explains trials in plain language to patients, collects prescreen data, and ranks leads for callback which cuts telescreening workload.

Illustration of Natural Language Feasibility in clinical trials

Natural Language Feasibility

Query in plain English and receive instant de-identified patient counts, demographics, and site metrics to accelerate trial setup.

Illustration of AI-based patient messaging and scheduling

Seamless Messaging & Scheduling

Integrated with patient messaging platforms for automated reminders, appointment booking, and follow-up.

Illustration of unified healthcare data integration

Unified Data Integration

Connect seamlessly with EMRs and site databases. SrotasIQ pushes prescreening results directly into CTMS, EDC systems.