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PhariaStudio

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Transparantiescore

Gewogen over vier pijlers · bijgewerkt February 13, 2026

Totaalscore
35% gewogen
ABCDF
Model
—
Nog niet beoordeeld
Infrastructuur
—
Nog niet beoordeeld

Leveranciersinformatie

Volledige informatie over de leverancier/provider van deze AI-applicatie

Aleph AlphaBekijk alle producten →
Aleph Alpha GmbH(Handelsnaam: Aleph Alpha)
Contactinformatie
aleph-alpha.com
info@aleph-alpha.com
Geregistreerd adres
Speyerer Straße 14, Heidelberg, Baden-Württemberg, 69123, DE

Leveranciersinformatie volgens de EU AI Act

Verificatiestatus:
Verified
Aleph Alpha GmbH(Handelsnaam: Aleph Alpha)
Speyerer Straße 14, Heidelberg, Baden-Württemberg, 69123, DE
info@aleph-alpha.com
Aleph Alpha GmbH
Speyerer Straße 14, Heidelberg, DE
Nalevingsdocumenten
CE-markering: Not Applicable
Beschikbaar in EU-lidstaten
🇦🇹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
Naleving & risico

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Toegevoegd: February 13, 2026
Bijgewerkt: February 13, 2026

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