AI governance and privacy platform that detects PII, masks prompts and audits LLM traffic
Stage
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Founded
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Based in
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ES
Pricing model
Freemium
Paid
Pricing
Serverless inference with pay-per-use token pricing ($0.0015 to $4.50 per 1M tokens for chat/vision models). Provisioned throughput with reserved PTUs for committed capacity. Dedicated GPU endpoints at $5.49-$8.99 per hour. Fine-tuning from $0.34-$40 per 1M tokens. GPU clusters at $1.99-$9.99 per GP
Starter: €150/month or €120/month (annual). Growth: €250/month. Business: €400/month or €320/month (annual). Scale: €700/month. Enterprise: €1,250/month. Enterprise+: €2,500/month. Volume-based pricing available for >5M requests/month. 14-day free trial available. Additional requests: €15 per extra
Key features
GPU clusters at scale with autoscaling
Voice agent infrastructure with sub-second latency
Comprehensive model library with 25+ regions
Multi-provider LLM routing for OpenAI, Anthropic, Mistral, Groq, and OpenAI-compatible endpoints
Immutable blockchain-certified audit logs via iCommunity Blockchain Services
Governance dashboard with visibility into AI usage, policy enforcement, and audit logs
Privacy-first governed chat interface for enterprise teams
Output scanning to detect and anonymize sensitive data in model responses
Context optimization reducing token usage by up to 57% on logs and tool outputs
Exportable DPO reports in PDF for compliance documentation
RAG protection with Privaro Ingest and Retrieval Guard with per-chunk access control
What makes it different
2x faster inference powered by cutting-edge research optimization
60% lower cost with workload-specific optimization
90% faster pre-training with Together Kernel Collection
Research-optimized infrastructure with proprietary kernels
Single unified API across multiple model providers
Blockchain-certified immutable audit trail provides legally admissible evidence for compliance and regulatory audits
Works with any LLM provider through unified multi-provider routing without vendor lock-in
Reduces LLM costs through context optimization that compresses logs and outputs before model inference
Built specifically for regulated industries with pre-configured use cases for legal, healthcare, and fintech
No integration friction with endpoint-level proxy requiring only an endpoint change in LLM calls
Together AI
Privaro