Specialized sovereign language models and AI solutions for enterprises and public institutions
One OpenAI-compatible API for every model with adaptive routing, hosted agents, pipelines, and observability
Stage
Not given
Startup
Founded
Not given
2025
Based in
DE
IN
Pricing model
Not given
Not given
Pricing
Not given
Free: $1 free credits on signup (90 days), 50 requests and 500K tokens per day on free models. Starter: $14/month (30% off with PROMO code), includes $20 in monthly credits, 10 RPM burst 1.5x, 2 pipelines. Paid: $35/month (30% off), includes $50 in monthly credits, 20 RPM, 4 pipelines. Pro Plus: $70
Key features
Kolibri sovereign language model available via API
Workspace Essentials with enterprise-level chat, agents, and connectors
Industrial Engineering Workbench for analyzing requirement specifications
Full audit trail with source attribution and user tracking
Scalable to 100,000+ users with compliance by design
Custom agentic workspace solutions built with clients
PLM integration and Siemens Polarion add-on support
Forward-deployed expertise services
Access to 100+ open-weight and frontier AI models behind one endpoint
OpenAI-compatible HTTP endpoint
Semantic caching to reduce latency and costs
Reproducible pipelines composing models, tools, and data
Per-request structured traces with latency and cost breakdown
Adaptive routing with latency-aware fallbacks
Model-agnostic RAG, web search, and PII redaction via single header
Works with existing OpenAI SDK without code changes
What makes it different
Sovereign models for data control and business-critical security requirements
Specialized models that perform powerfully on use cases that matter to your organization
Fast regulatory approval through audit trail and compliance features
One unified invoice and observability dashboard across all models, agents, and pipelines
Transparent prepaid credits with per-token rates published in your dashboard
Hosted agents with explicit CPU and memory caps and fail-closed credit gates
No synthetic data in dashboards; all metrics reflect actual user traffic
Aleph Alpha