Saama automates key clinical development and commercialization processes using AI, Generative AI, and advanced analytics — accelerating your time to market.
Faster Data
Discovery
Smart Data
Quality
Patient Review
Savings
Patient
Insights
Submission Effort
Reduction
Patient
Insights
Saama automates key clinical development and commercialization processes using AI, Generative AI, and advanced analytics — accelerating your time to market.
Faster Data
Discovery
Smart Data
Quality
Patient Review
Savings
Patient
Insights
Submission Effort
Reduction
Patient
Insights
From data origin to submission. Each domain carries its own workforce load, technology debt, and process latency. Start where the bottleneck is. Expand when you’re ready. Each pillar creates independent value — and compounds with the next.
A single, real-time view of study, country, and site-level start-up activities with automatically tracked milestones, surfacing bottlenecks before they delay first-patient-in.
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Protocol digitization and analysis • Protocol amendment assessment • Site feasibility and selection • Study configuration and build • Study-startup planning •
Accelerate your path to submission with continuous, always-on data monitoring. AI eliminates manual cleaning cycles to cut data lock from 7 weeks to just 1–2 weeks — accelerating the path to submission.
Clinical-data ingestion and harmonization • Automated data-quality review • Discrepancy prediction • Query anomaly detection • Natural-language creation of listings and SQL • Patient data-readiness tracking •
Slash your largest CRO cost center. Targeted monitoring refocuses CRA effort on your most critical data, remote-first reviews replace routine scheduled visits, and AI automatically drafts monitoring visit reports.
Site selection and performance monitoring • Enrollment predictability • Patient retention and engagement • Next-best operational actions • Centralized and remote monitoring • CRA prioritization • Study, site, and patient-level visibility •
AI-powered clinical operations with centralized monitoring, dynamic KRI management, signal orchestration, and automated CAPA workflows. Enables 100% data coverage with real-time signal detection.
Risk identification and categorization • Critical-to-quality factor identification • KRI and QTL monitoring • Site-risk assessment • Centralized statistical monitoring • Protocol-deviation analysis • Query and data anomaly detection • Adaptive monitoring and mitigation planning •
Combines medical monitoring and pharmacovigilance. AI delivers 6x review throughput, 84% error reduction, and scales AE processing without proportional headcount — up to 66% manual workload reduction.
Cross-domain patient review • Patient-level safety monitoring • Early signal identification • Potential adverse-event detection • Medical coding automation • AI-assisted review recommendations • Medical document drafting • Review-listing generation •
Maintain continuous submission readiness without the manual assembly bottleneck. Shift statistical programming from slow sequential steps to AI-orchestrated parallel workflows that generate CDISC maps and TLFs automatically.
SAS and R statistical workflows • Descriptive and inferential analysis • Survival analysis • Metadata-driven SDTM and ADaM preparation • TLF generation and validation • No-code clinical visualization • Artifact reuse and traceability • Submission-document generation •
Synchronize external data and internal studies to track active operations and screen independent
IIT/IIS protocols—closing open IEP evidence gaps while dynamically refreshing dossiers to keep
clinical portfolios permanently current.
Real-world evidence generation • Evidence synthesis and exploration • Medical-insight discovery • Scientific and medical-content development • Field medical information support • Visualization of clinical and real-world evidence •
From data origin to submission. Each domain carries its own workforce load, technology debt, and process latency. Start where the bottleneck is. Expand when you’re ready. Each pillar creates independent value — and compounds with the next.
A single, real-time view of study, country, and site-level start-up activities with automatically tracked milestones, surfacing bottlenecks before they delay first-patient-in.
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60% Startup Cycle Compression
Accelerate your path to submission with continuous, always-on data monitoring. AI eliminates manual cleaning cycles to cut data lock from 7 weeks to just 1–2 weeks — accelerating the path to submission.
faster lock readiness
60% CDM effort reduction
Slash your largest CRO cost center. Targeted monitoring refocuses CRA effort on your most critical data, remote-first reviews replace routine scheduled visits, and AI automatically drafts monitoring visit reports.
faster lock readiness
Up to 50% CRA cost reduction
AI-powered clinical operations with centralized monitoring, dynamic KRI management, signal orchestration, and automated CAPA workflows. Enables 100% data coverage with real-time signal detection.
risk reduction
early trend identification
resource optimization
less audit prep time
50% operational efficiency gain
Combines medical monitoring and pharmacovigilance. AI delivers 6x review throughput, 84% error reduction, and scales AE processing without proportional headcount — up to 66% manual workload reduction.
risk detection in workflow
Up to 60% cost reduction
Maintain continuous submission readiness without the manual assembly bottleneck. Shift statistical programming from slow sequential steps to AI-orchestrated parallel workflows that generate CDISC maps and TLFs automatically.
less effort for first CSR
less CSR drafting time
shorter programming cycle
Up to 62% less programming effort
Synchronize external data and internal studies to track active operations and screen independent
IIT/IIS protocols—closing open IEP evidence gaps while dynamically refreshing dossiers to keep
clinical portfolios permanently current.
less effort for first CSR
less CSR drafting time
shorter programming cycle
85% Faster Insight Extraction & 2x Faster IIT/IIS Proposal Evaluation Cycles
From data origin to submission. Each domain carries its own workforce load, technology debt, and process latency. Start where the bottleneck is. Expand when you’re ready. Each pillar creates independent value — and compounds with the next.
A single, real-time view of study, country, and site-level start-up activities with automatically tracked milestones, surfacing bottlenecks before they delay first-patient-in.
Add Class “click-disabled” on non link pages
60% Startup Cycle Compression
Accelerate your path to submission with continuous, always-on data monitoring. AI eliminates manual cleaning cycles to cut data lock from 7 weeks to just 1–2 weeks — accelerating the path to submission.
faster lock readiness
60% CDM effort reduction
Slash your largest CRO cost center. Targeted monitoring refocuses CRA effort on your most critical data, remote-first reviews replace routine scheduled visits, and AI automatically drafts monitoring visit reports.
faster lock readiness
Up to 50% CRA cost reduction
AI-powered clinical operations with centralized monitoring, dynamic KRI management, signal orchestration, and automated CAPA workflows. Enables 100% data coverage with real-time signal detection.
risk reduction
early trend identification
resource optimization
less audit prep time
50% operational efficiency gain
Combines medical monitoring and pharmacovigilance. AI delivers 6x review throughput, 84% error reduction, and scales AE processing without proportional headcount — up to 66% manual workload reduction.
risk detection in workflow
Up to 60% cost reduction
Maintain continuous submission readiness without the manual assembly bottleneck. Shift statistical programming from slow sequential steps to AI-orchestrated parallel workflows that generate CDISC maps and TLFs automatically.
less effort for first CSR
less CSR drafting time
shorter programming cycle
Up to 62% less programming effort
Synchronize external data and internal studies to track active operations and screen independent
IIT/IIS protocols—closing open IEP evidence gaps while dynamically refreshing dossiers to keep
clinical portfolios permanently current.
less effort for first CSR
less CSR drafting time
shorter programming cycle
85% Faster Insight Extraction & 2x Faster IIT/IIS Proposal Evaluation Cycles
From data origin to submission. Each domain carries its own workforce load, technology debt, and process latency. Start where the bottleneck is. Expand when you’re ready. Each pillar creates independent value — and compounds with the next.
60% Startup Cycle Compression
60% Startup Cycle Compression
60% CDM effort reduction
faster lock readiness
60% CDM effort reduction
Up to 50% CRA cost reduction
faster lock readiness
Up to 50% CRA cost reduction
50% operational efficiency gain
risk reduction
early trend identification
resource optimization
less audit prep time
50% operational efficiency gain
Up to 60% cost reduction
risk detection in workflow
Up to 60% cost reduction
Maintain continuous submission readiness without the manual assembly bottleneck. Shift statistical programming from slow sequential steps to AI-orchestrated parallel workflows that generate CDISC maps and TLFs automatically.
Up to 62% less programming effort
less effort for first CSR
less CSR drafting time
shorter programming cycle
Up to 62% less programming effort
85% Faster Insight Extraction & 2x Faster IIT/IIS Proposal Evaluation Cycles
less effort for first CSR
less CSR drafting time
shorter programming cycle
85% Faster Insight Extraction & 2x Faster IIT/IIS Proposal Evaluation Cycles
Chief Efficiency Officer
We didn't take a general AI and apply it to clinical trials. We built clinical AI from day one — and spent a decade perfecting it. That gap doesn't close overnight.
Saama’s AI platform delivers measurable, documented results across every stage of clinical development. These aren’t projections — they’re proof.
Faster Data Discovery
reduction in time to data discovery
Hours Saved
of manual work eliminated
Patient Review Savings
time savings for patient data review
Faster Document Drafting
reduction in content drafting time
Therapeutic Areas
clinical trials powered across specialties
Research Citations
AI publications cited globally
Watch product demonstrations, customer success stories, expert webinars, and the latest innovations driving AI-powered clinical development.
See how AI is moving beyond basic data automation toward intelligent decision-making, while keeping human experts in strategic control.
In this quick testimonial, Pfizer leaders share how unified metadata and AI-driven data automation helped eliminate silos, streamline CDISC standards, and significantly accelerate the journey to submission-ready data.
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Saama has over a decade of experience developing and training AI models for life sciences that can be used out-of-the-box. Other companies are just beginning this research. By partnering with Saama, you are ahead of the curve.
In-House Dedicated AI Researchers — our lab has spent a decade building, training and evolving AI models specifically for life sciences.
Trained AI Models
Our AI research lab has spent a decade building, training and evolving AI models specifically for life sciences.
Publications
Saama’s AI experts have had work published in over 20 publications globally.
Years of AI Research
Patents
Our researchers have secured 8 patents for their work.
AI Researchers
Clinical Studies
Most AI projects in clinical development never leave the pilot stage. In this live webinar, Saama’s AI research team breaks down the structural barriers — and how agentic, modular AI is built to overcome them. Watch now, available on-demand.
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