Benjamin Dobnikar
Founder & CEO
Sference
Sference provides an OpenAI‑compatible batch inference API that runs any open‑weight or fine‑tuned model on European GPUs, letting regulated enterprises process large volumes of data with selectable latency windows (1‑48 hours) to lower costs. All computation stays within the EU, offering audit‑ready logs, configurable data retention, and compliance reports for GDPR, DORA, and the EU AI Act, ensuring data sovereignty and version stability.
- Artificial Intelligence
- Developer Tools
- Enterprise Software
Updated 5 months ago
Funding
Funding rounds are not available yet.
Founders
Aleksander Pejcic
Co‑Founder & CTO
Product
Problem
Enterprises in regulated industries often need to run large-scale AI inference tasks such as embeddings, data extraction, or synthetic data generation, but real‑time APIs are costly and expose data to jurisdictions like the US CLOUD Act, creating compliance risks under GDPR, DORA, and the upcoming EU AI Act.
Solution
Sference offers an OpenAI‑compatible batch inference API that runs any open‑weight or fine‑tuned model on European GPUs. Users select an SLA window—from 1 hour up to 48 hours—allowing them to trade latency for lower cost while keeping model versions pinned for stability. All processing occurs architecturally within Europe, providing a full audit trail, configurable data retention, and exportable compliance reports. The service is designed for regulated verticals, ensuring that data never leaves the EU and that audit requirements for GDPR, DORA, and the EU AI Act are met out of the box.
Target Audience
Primary customers are AI/ML teams in FinTech, LegalTech, HealthTech, and InsureTech organizations that require bulk processing of data while meeting strict European regulatory and data‑sovereignty requirements.
Features
- OpenAI‑compatible batch API supporting any open‑weight or fine‑tuned model
- Selectable SLA windows (1h, 6h, 24h, 48h) to balance latency against cost
- Dedicated European GPU infrastructure guaranteeing data residency and avoiding US CLOUD Act exposure
- Pinned model versions with no silent updates, ensuring version stability for production pipelines
- Comprehensive per‑batch audit logs, configurable retention, and exportable compliance reports for GDPR, DORA, and EU AI Act
- Optimized compute allocation that reduces cost compared to real‑time inference services