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PhariaStudio

by Aleph Alpha

AI Tool
Low Confidence
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Transparency Score

Weighted across four pillars · updated February 13, 2026

Overall grade
35% weighted
ABCDF
Model
—
Not yet assessed
Infrastructure
—
Not yet assessed

Vendor Information

Complete information about the vendor/provider of this AI application

Aleph AlphaView all products →
Aleph Alpha GmbH(Trading as: Aleph Alpha)
Contact Information
aleph-alpha.com
info@aleph-alpha.com
Registered Address
Speyerer Straße 14, Heidelberg, Baden-Württemberg, 69123, DE

EU AI Act Provider Information

Verification Status:
Verified
Aleph Alpha GmbH(Trading as: Aleph Alpha)
Speyerer Straße 14, Heidelberg, Baden-Württemberg, 69123, DE
info@aleph-alpha.com
Aleph Alpha GmbH
Speyerer Straße 14, Heidelberg, DE
Compliance Documents
CE Marking: Not Applicable
Available in EU Member States
🇦🇹AT🇧🇪BE🇧🇬BG🇭🇷HR🇨🇾CY🇨🇿CZ🇩🇰DK🇪🇪EE🇫🇮FI🇫🇷FR🇩🇪DE🇬🇷GR🇭🇺HU🇮🇪IE🇮🇹IT🇱🇻LV🇱🇹LT🇱🇺LU🇲🇹MT🇳🇱NL🇵🇱PL🇵🇹PT🇷🇴RO🇸🇰SK🇸🇮SI🇪🇸ES🇸🇪SE
Aleph Alpha’s platform enables continuous monitoring and iterative improvements through transparent interactions. Users can review AI-driven processes, collaborate with domain experts, and refine workflows based on explainable outputs. The focus is on maintaining compliance and adaptability in regulated industries, with ongoing updates to enhance performance and fairness.
Aleph Alpha’s AI systems, while designed for transparency and compliance, come with inherent limitations and risks. The customization and integration of their models can be complex and resource-intensive, requiring specialized expertise to adapt solutions to specific organizational needs. Performance may vary depending on the availability and quality of domain-specific data, which could pose challenges in environments with limited data or stringent regulatory requirements. Additionally, the computational demands of advanced AI features may limit scalability for organizations with constrained resources. Users must also consider potential risks related to data privacy and security, particularly when operating in highly regulated industries. While the Pharia stack provides tools for explainability and oversight, the responsibility for validating AI outputs and managing risks ultimately lies with the user, necessitating robust governance and continuous monitoring to ensure compliance and mitigate potential issues
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Added: February 13, 2026
Updated: February 13, 2026

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