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Accelerate Your
Trials Intelligently

Saama automates key clinical development and commercialization processes using AI, Generative AI, and advanced analytics — accelerating your time to market.

See For Yourself
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Faster Data Discovery
0 %
Hours Saved (SDQ)
0 K+
Patient Review Savings
0 %

Saama Llama Says

Chief Efficiency Officer

"A decade of exclusive life sciences AI research means our models don't just process clinical data — they understand it. That's the difference between software and a true research partner."

— Grounded in Saama’s in-house AI Research Lab, 99+ publications, 8 patents

The Saama Difference

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.

Saama has its own AI research lab that consists of some of the world’s best AI researchers globally.

In-House Dedicated AI Researchers — our lab has spent a decade building, training and evolving AI/ML models specifically for life sciences.

Research Lab

Trained AI/ML Models

0 +
Our AI research lab has spent a decade building, training and evolving AI/ML models specifically for life sciences.

Publications

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Saama’s AI experts have had work published in over 20 publications globally.

Citations

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Our AI researchers’ work has been cited globally in various publications

Patents

0 +
Our researchers have secured 8 patents for their work.

Therapeutic Areas

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Saama has worked on many clinical trials, spanning 20+ therapeutic areas.

Clinical Trial Transformation

Transforming the FPI-to-Submission corridor with AI & Automation across all five functional domains of clinical trials
$15–21M

Per-Trial AI Savings

70%
LPLV-to-Submission Compression
35–45%
Productivity Gain
$20–30M

Per-Trial AI Savings

90%
LPLV-to-Submission Compression
45–65%
Productivity Gain

Clinical Trial Transformation

Transforming the FPI-to-Submission corridor with AI & Automation across all five functional domains of clinical trials
$15–21M

Per-Trial AI Savings

70%
LPLV-to-Submission Compression
35–45%
Productivity Gain
$20–30M

Per-Trial AI Savings

90%
LPLV-to-Submission Compression
45–65%
Productivity Gain

THE PROBLEM

FPI-to-Submission Corridor

Five domains, one compressible cost structure. A typical Phase II costs $7–20M, with per-patient costs averaging $36K–$48K.

Massive Cost Structure

50–70% of trial budget sits within 5 optimizable domains. For a $15M Phase II, that's $7.5–10.5M in compressible spend from FPI through Submission.

Time-to-Submission Gap

LPLV-to-Submission averages 20–24 weeks. Each day of delay costs $500K–$800K. Compression = $10–16M recovered.

Manual Process Debt

Batch cleaning, paper-based source data, scheduled monitoring visits, manual coding.

Biostatistics & Submission Bottleneck

Sequential manual processes add 8–12 weeks post-lock, with 30–40% rework rates.

Workforce Pressure

CRA turnover at 22%. Manual data review has 54.67% error rate. AE volume growing 20% annually.

TOTAL ADDRESSABLE SPEND

$15–21M

Per-Trial AI Savings

50–70% of total budget across five functional domains

Clinical Trial
Transformation

Transforming the FPI-to-Submission corridor with AI & Automation across all five functional domains of clinical trials

$15–21M

Per-Trial AI Savings

70%
LPLV-to-Submission Compression
35–45%
Productivity Gain
$20–30M

Per-Trial AI Savings

90%
LPLV-to-Submission Compression
45–65%
Productivity Gain

FPI-to-Submission Corridor

Five domains, one compressible cost structure. A typical Phase II costs $7–20M, with per-patient costs averaging $36K–$48K.

Biostatistics & Submission Bottleneck

Sequential manual processes add 8–12 weeks post-lock, with 30–40% rework rates.

Workforce Pressure

CRA turnover at 22%. Manual data review has 54.67% error rate. AE volume growing 20% annually.

Manual Process Debt

Batch cleaning, paper-based source data, scheduled monitoring visits, manual coding.

Massive Cost Structure

50–70% of trial budget sits within 5 optimizable domains. For a $15M Phase II, that's $7.5–10.5M in compressible spend from FPI through Submission.

Time-to-Submission Gap

LPLV-to-Submission averages 20–24 weeks. Each day of delay costs $500K–$800K. Compression = $10–16M recovered.

TOTAL ADDRESSABLE SPEND

$7.5 –10.5M

per Phase II trial

50–70% of total budget across five functional domains

Five Functional Domains

From data origin to submission. Each domain carries its own workforce load, technology debt, and process latency.

CDM

Data Management

Budget Share:
10–15%
As-Is:
$5–7.5M
To-Be:
$2–3M
60% CDM effort reduction

CRA/ClinOps

Clin Ops & CRA

Budget Share:
20–25%
As-Is:
$10–12.5M
To-Be:
$5–6M
50% CRA cost reduction

RBQM

Next-Gen RBQM

Budget Share:
5–8%
As-Is:
$2.5–4M
To-Be:
$1.25–2M
50% operational efficiency gain

Medical/Safety

Medical / Safety

Budget Share:
8–15%
As-Is:
$4–7.5M
To-Be:
$1.5–3.25M
50–60% cost reduction with 6x review throughput

Biostats/Sub

Biostatistics & Submissions

Budget Share:
8–12%
As-Is:
$4–6M
To-Be:
$1.5–2.5M
55–65% programming effort reduction

Clinical Ecosystem with Agent OS

Automating FPI to Submission

Agentic AI multiplying productivity across every clinical pillar. Click any layer to explore.

Saama Llama Says

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."."

Backed by 2,983+ global research citations, 99+ publications, and an in-house research lab that competitors simply don’t have.

Saama Llama Says

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."."

Backed by 2,983+ global research citations, 99+ publications, and an in-house research lab that competitors simply don’t have.

Saama Llama Says

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."."

Backed by 2,983+ global research citations, 99+ publications, and an in-house research lab that competitors simply don’t have.

Years Of Empowering Clinical Trial Transformation

Saama’s AI platform delivers measurable, documented results across every stage of clinical development. These aren’t projections — they’re proof.

Faster Data Discovery

0 %

reduction in time to data discovery

Hours Saved

0 +
of manual work eliminated

Patient Review Savings

0 %
time savings for patient data review

Faster Document Drafting

0 %
reduction in content drafting time

Therapeutic Areas

0 +
clinical trials powered across specialties

Research Citations

0 +
AI publications cited globally
Schedule a Demo

Saama Llama Says

Chief Efficiency Officer

"A decade of exclusive life sciences AI research means our models don't just process clinical data — they understand it. That's the difference between software and a true research partner."

Grounded in Saama’s in-house AI Research Lab, 99+ publications, 8 patents

Saama Llama Says

Chief Efficiency Officer

"A decade of exclusive life sciences AI research means our models don't just process clinical data — they understand it. That's the difference between software and a true research partner."

— Grounded in Saama’s in-house AI Research Lab, 99+ publications, 8 patents

The Saama Difference

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.

Saama has its own AI research lab that consists of some of the world’s best AI researchers globally.

In-House Dedicated AI Researchers — our lab has spent a decade building, training and evolving AI/ML models specifically for life sciences.

Research Lab

Trained AI/ML Models

0 +
Our AI research lab has spent a decade building, training and evolving AI/ML models specifically for life sciences.

Publications

0 +
Saama’s AI experts have had work published in over 20 publications globally.

Citations

0 +
Our AI researchers’ work has been cited globally in various publications

Patents

0 +
Our researchers have secured 8 patents for their work.

Therapeutic Areas

0 +
Saama has worked on many clinical trials, spanning 20+ therapeutic areas.

Saama Videos

Saama’s AI platform delivers measurable, documented results across every stage of clinical development. These aren’t projections — they’re proof.

Video 1

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The Saama Difference

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.

Saama has its own AI research lab that consists of some of the world’s best AI researchers globally.

In-House Dedicated AI Researchers — our lab has spent a decade building, training and evolving AI/ML models specifically for life sciences.

Research Lab

Trained AI/ML Models

0 +
Our AI research lab has spent a decade building, training and evolving AI/ML models specifically for life sciences.

Publications

0 +
Saama’s AI experts have had work published in over 20 publications globally.

Citations

0 +
Our AI researchers’ work has been cited globally in various publications

Patents

0 +
Our researchers have secured 8 patents for their work.

Therapeutic Areas

0 +
Saama has worked on many clinical trials, spanning 20+ therapeutic areas.
Featured Webinar

Why 95% of AI Projects Stall — and How Agentic AI Changes the Game

Most AI projects in clinical development never leave pilot. 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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