Performance for shared workloads
At 6.3 tokens per second per user versus a 0.7 reference baseline, the illustrated throughput is 9×. Across 32 chats, that is 201.6 versus 22.4 tokens per second.
Sovereign AI. Enterprise control.
Enterprise Intelligence,Without Leaving YourNetwork.
Local & Self-hosted AI for secure chat, agents and knowledge with model governance, DLP and audit evidence for enterprises.
Built for the teams responsible for trust
- On-premises AI
- GDPR tooling
- EU AI Act support
- Air-gap capable
Kaldryn
Private assistant · on your server
Summarise our Q3 sales report and flag the biggest risks.
Message Kaldryn…
A complete AI operating environment
More than a chat window.
A workspace for your people. A control plane for your IT team. An evidence layer for security and compliance. All on your infrastructure.
- 01
Deploy where you decide
Deploy in your private environment. Choose models and configure the platform around your workflows.
- 02
Connect people and knowledge
Bring in your identity provider, document libraries and internal systems. Define who can use each model and tool.
- 03
Operate with confidence
Manage policies, review activity, verify network isolation and collect evidence from one administration console.
Interactive software preview · sample data · explore all 30 modules
Command Center
An operational overview of your AI estate.
Illustrative data · safe to explore
Requests
1,284
GPU nodes
3
Ready services
12/12
System activity
Portal
Inference
Workers
GPU node health
Preview only · no changes to your systems
What this module includes
- System health
- Usage and token activity
- Notifications and onboarding
- GPU node health
- Daily estimated cloud spend avoided
- Router tier distribution
- Training pipeline status
Based on the Kaldryn Platform admin console. Available features depend on license tier, role, hardware and configuration.
Security & regulatory readiness
Control the data. Show the evidence.
Local hosting is the starting point. Kaldryn adds the identity, governance and operational tools needed to make private AI accountable.
Built-in compliance support
GDPR
Privacy becomes a workflow.
Limit exposure with local processing, scoped document access and configurable DLP. Review and execute subject-data erasure requests with an audit trail.
- Preview affected data before erasure
- Block or redact sensitive information
- DPIA and data-governance documentation
Built-in compliance support
EU AI Act
Make responsible AI operational.
Make AI use transparent with in-product disclosures, model governance and operational oversight. Keep policies, audit activity and reviewable evidence together.
- AI-interaction disclosures
- Human oversight and controlled access
- Model inventory, trust policies and logs
PLATFORM SECURITY
Verify your security posture.
Bring SAML SSO, role-based access, MFA and passkeys together with network-isolation checks, an egress register and reviewable security evidence.
- Identity and least-privilege controls
- DLP policies and information barriers
- Audit exports and compliance reports
Kaldryn provides technical controls and compliance-supporting documentation, not automatic regulatory compliance or certification. Your obligations depend on the use case, model, configuration and organisational measures.
Discuss your security requirementsThe economics of private AIGet a quote for your setup
See what local AI could save.
Cloud subscriptions and token charges add up across a team. With Kaldryn, local inference has no token or credit bill. Compare your cloud spend with the full cost of running your own AI.
Cost comparison · USD
Include subscriptions and average token or credit spend.
Total Kaldryn cost / month
Fixed at $7,500 per month, with unlimited users to onboard.
Your annual AI costs
12-month comparisonCloud AI
$180,000
USD / year
Local AI with Kaldryn
$90,000
USD / year
Potential annual savings
$90,00050% lower cost
No metered token or credit charges for local inference.
This comparison uses a fixed Kaldryn budget of $7,500/month. Adjust the team size and cloud spend to reflect your organisation. Cloud defaults are illustrative. Model quality and deployment capacity vary; confirm the configuration and scope in your quote.
Cloud = people × monthly cost × 12. Kaldryn = total monthly cost × 12.
More from the same GPU
More work. Same hardware.
See the potential of shared inference with a conservative 9× comparison for 32 simultaneous chats on GB10 hardware.
0×
Inside the Kaldryn Enginethe per-user throughput in this illustration
Kaldryn engine
0.0tok/sContinuous batching · shared GPU
Standard Ollama
0.0tok/sReference baseline for this illustration
Illustration · 32 simultaneous chats · GB10
A workspace, ready for your people
Chat, document search with RAG, agents and model fine-tuning come together in one platform.
Administration included
Manage SSO, role-based access, DLP and audit logs alongside GPU health, signed updates and backups in one console.
Illustrative comparison, not a new measured benchmark: 0.7 × 9 = 6.3 tokens/s per user. Reference workload: GB10, Qwen2.5-7B, 8k context, 150-token responses, warm engine, 32 concurrent chats. Actual throughput depends on the model, hardware and configuration.
Let’s talk
Put a number on your AI savings.
Tell us about your company, your users and how you use AI today. We’ll help you compare costs and find the right setup.
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