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AI Agents Accelerating

Clinical Trials - Responsibly

From protocol design to analysis-ready data, eRIC AI applies Artificial
Intelligence deliberately to remove operational bottlenecks in clinical
trials — with humans firmly in control.

solutions
SOLUTIONS

Productive in hours, not months

Our platform is built so your team does not need a six-week implementation project to use it. A single 90-minute guided onboarding session is enough for most teams to start managing live study data the same day — no heavy customisation, no steep learning curve.

support
SUPPORT

Clinical experts beside you, not just software behind you

Every engagement includes hands-on support from GCP-trained clinical research professionals — not a ticket queue. They train your team, sit in on study set-up, and stay reachable through database lock.

Our Excellence In Numbers

30+

Trials

3500+

Patients

70%

Repeat Business

95%

Recruitment

6

Countries

eRIC AI Agents

eRIC AI DB Designer

eRIC AI DB Designer

Rapid protocol-to-CRF design with edit checks and SDTM-ready structures.

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eRIC AI Data Entry

eRIC AI Data Entry

AI-assisted ingestion of scanned source documents with PHI de-identification.

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eRIC AI CRA

eRIC AI CRA

Remote, risk-based monitoring using de-identified source data.

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eRIC AI Statistics

eRIC AI Statistics

Real-time analytics and analysis-ready datasets.

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eRIC AI Medical Writer

eRIC AI Medical Writer

AI-assisted drafting of clinical documents with human review.

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eRIC AI Document Manager

eRIC AI Document Manager

Continuous eTMF completeness and inspection readiness.

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eRIC AI Project Manager

eRIC AI Project Manager

Predictive insights into timelines, risks, and execution.

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Simple, Transparent Pricing

Choose the plan that fits your workflow

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Trust & Governance

Responsible AI for Regulated Clinical Environments

AI-assisted, human-verified workflows

AI-assisted, human-verified workflows

Full traceability and audit trails

Full traceability and audit trails

Standards-driven outputs (CDISC / SDTM)

Standards-driven outputs (CDISC / SDTM)

PHI de-identification and data security

PHI de-identification and data security

Transparent AI behavior

Transparent AI behavior

Case Study

Breast-cancer study start-up, accelerated

19 days — database design complete (USA, 4 sites, 60 subjects).

Within 5 weeks of signing — first site initiated.

27% faster than the industry average.

Recent Blog from eRIC AI

Clinical innovation deserves modern infrastructure.

eRIC AI is built to deliver it.