AI-Native Clinical Research Services

Bring Better
Cancer Therapies
to Patients Faster

Move your pipeline more efficiently. RISA Bio combines deep oncology expertise with AI-native infrastructure to accelerate every stage of clinical development.

Built by RISA Labs

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The Problem

Clinical Development Is Too Slow

Oncology trials are uniquely complex. Fragmented data, slow site activation, and manual processes delay the therapies patients need most.

7.5 yrs
Average time from IND filing to oncology drug approval
$2.6B
Average cost to bring a cancer drug to market
95%
Oncology drugs entering Phase I that never reach approval

Services

AI-Powered Clinical Research,
End to End

From protocol optimization to regulatory submission, we deploy AI where it matters most -- accelerating timelines without compromising rigor.

Protocol Design & Optimization

AI-driven protocol authoring informed by real-world evidence, published trial data, and guideline analysis. Reduce amendments, improve enrollment feasibility.

Site Identification & Activation

Identify high-performing oncology sites using real-time data signals -- patient volume, investigator experience, competitive trial landscape, and enrollment velocity.

Patient Recruitment & Matching

AI-powered patient matching across EMR, claims, and genomic data. Connect eligible patients to the right trials faster, with fewer screen failures.

Clinical Data Management

Automated data capture, cleaning, and reconciliation. AI models flag anomalies in real time, reducing query cycles and accelerating database lock.

Regulatory Strategy & Submissions

Navigate FDA pathways with confidence. AI-assisted dossier preparation, clinical study reports, and submission-ready documentation aligned to current guidance.

Real-World Evidence & Analytics

Generate insights from claims, EMR, and registry data. Support label expansion, comparative effectiveness, and post-market surveillance with structured evidence.


How It Works

AI Infrastructure Meets
Oncology Depth

We don't bolt AI onto legacy processes. Our platform is built from the ground up to make clinical research faster, smarter, and more predictable.

1

Define

Share your therapeutic target, indication, and development stage. We map the landscape -- competitive trials, guideline context, patient populations, and site options.

2

Accelerate

Our AI agents work across protocol design, site selection, patient matching, and data management -- compressing months of manual work into weeks.

3

Deliver

You get faster enrollment, cleaner data, and a clear regulatory path. We stay embedded through submission, adapting as your trial evolves.


Why RISA Bio

Built Different

We started in oncology workflow automation. We understand the clinical, regulatory, and operational complexity of cancer care -- because it's all we do.

Oncology-Native AI

Our models are trained on oncology workflows, NCCN/ASCO guidelines, and real clinical data. Not generic AI adapted for healthcare -- purpose-built for cancer research.

Speed Without Shortcuts

AI handles the high-volume, repetitive work -- data extraction, matching, anomaly detection -- so your team focuses on science and strategy.

Network Intelligence

We draw from RISA's oncology network -- cancer centers, investigators, and market intelligence -- to give you a structural advantage in site and patient access.

Regulatory Rigor

Every output is auditable and traceable. AI recommendations include evidence citations, confidence scores, and human review checkpoints. No black boxes.


Therapeutic Focus

Deep in Oncology

We support clinical development across solid tumors and hematologic malignancies, with particular depth in high-complexity indications.

Non-Small Cell Lung Cancer
Breast Cancer
Colorectal Cancer
Pancreatic Cancer
Melanoma
Prostate Cancer
AML / MDS
Multiple Myeloma
NHL / DLBCL
Renal Cell Carcinoma
Head & Neck
Bladder / Urothelial

Get Started

Ready to Accelerate
Your Pipeline?

Whether you're designing a first-in-human trial or expanding a label, RISA Bio can help you move faster with better data. Let's talk.

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