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ArcaScience

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About

ArcaScience is an end-to-end benefit-risk decision engine designed to support the pharmaceutical industry throughout the drug development lifecycle. It provides complete visibility into a drug's success potential from preclinical framing through to post-approval surveillance. By centralizing fragmented data and replacing manual literature reviews, the platform helps regulatory and R&D teams anticipate risks and validate benefits with high precision. It serves as a comprehensive decision-support tool that bridges the gap between raw data and actionable regulatory strategy, ensuring that clinical and market access teams remain aligned from day one. The platform operates using a suite of 24 proprietary, clinician-trained AI models that process over 100 billion data points, including clinical trials, real-world evidence (RWE), and scientific literature. The system features a Benefit-Risk Triage Model (BRTM) that validates insights and isolates key signals for regulatory decision-making. Users can define strategic foundations, compare their drug against competitors, and monitor safety signals in real-time through a transparent, auditable dashboard. This high-scale processing turns what used to be 18-month manual evaluation cycles into rapid, automated workflows that produce evidence-based arguments for HTA frameworks. Ideally suited for pharmaceutical leaders, clinical researchers, and regulatory affairs professionals, ArcaScience is built to handle complex submissions across various therapeutic areas. It addresses the common industry challenges of fragmented data and slow evaluation cycles, claiming to reduce evaluation time by up to 60% and costs by 70%. The tool is particularly valuable for teams needing to build rigorous evidence-based arguments that align with global regulatory expectations. What distinguishes ArcaScience is its "compliance by design" architecture, meeting stringent standards such as FDA 21 CFR Part 11, ISO 27001, and GDPR, ensuring all analyses are audit-ready and legally defensible.

Pros & Cons

Reduces benefit-risk evaluation time by up to 60% compared to legacy models.

Fully compliant with FDA 21 CFR Part 11 and ISO 27001 standards.

Accesses a massive database of over 100 billion specialized data points.

Automates the creation of submission-ready dossiers with full audit trails.

Successfully supported over 50 regulatory submissions for global pharmaceutical leaders.

Pricing information is not publicly available and requires a custom quote.

Access to the platform is restricted to demo requests rather than immediate sign-up.

Highly specialized focus on pharmaceutical regulations makes it unsuitable for other industries.

Use Cases

Global R&D teams can utilize the Benefit-Risk Triage Model to identify and anticipate safety signals early in the development cycle.

Regulatory affairs managers can automate the generation of HTA submissions and study reports to accelerate the filing process.

Clinical trial leads can frame regulatory strategies from day one by setting drug and dosage parameters within the engine.

Pharmacovigilance experts can track safety signals in real-time using post-marketing surveillance data and transparent dashboards.

Market access teams can build evidence-based arguments for drug efficacy by comparing their data against competitors' clinical outcomes.

Platform
Web
Task
patient discovery

Features

24 proprietary clinician-trained ai models

cross-functional team collaboration suite

auditable decision intelligence dashboards

clinical framing and strategic analysis tools

100 billion+ data point intelligence database

real-time safety signal monitoring

automated regulatory dossier generation

benefit-risk triage model (brtm)

FAQs

What data sources does ArcaScience use for its analysis?

The engine processes over 100 billion data points including clinical trials, real-world evidence (RWE), scientific literature, and historical regulatory submissions. These sources are aggregated and analyzed by 24 clinician-trained AI models to identify risk signals.

Is ArcaScience compliant with pharmaceutical industry regulations?

Yes, the platform is architected for high-level compliance, meeting standards for GDPR, FDA 21 CFR Part 11, and ISO 27001. This ensures all benefit-risk analyses are audit-ready and legally defensible for regulatory bodies.

How much time can the platform save during the evaluation process?

ArcaScience claims to reduce evaluation time by up to 60%. Processes that traditionally take 18 months can be completed significantly faster through automated data processing and triage models.

Can the tool generate documents for official submissions?

Yes, the platform auto-generates submission-ready outputs including study reports, regulatory dossiers, and HTA submissions. These documents include full audit trails and version control for compliance.

Which therapeutic areas can ArcaScience support?

The platform has already supported over 50 regulatory submissions across 12 different therapeutic areas. It is designed to be versatile for various drug categories and submission types.

Pricing Plans

Enterprise
Unknown Price

24 proprietary AI models

100B+ data points access

Automated dossier generation

GDPR & FDA 21 CFR Part 11 compliance

Real-time safety signal tracking

Cross-functional team collaboration

Full audit trails

Dedicated support

Job Opportunities

There are currently no job postings for this AI tool.

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