Meet the accuracy bar.
The workload sets the accuracy requirement. We size capability to the task — not to a general frontier subscription you never fully use.
- Konic Models
On-prem enterprise LLMs optimized for enterprise production AI.
Production-optimized enterprise LLMs — built for on-prem deployment on infrastructure you control. Enterprise accuracy, efficient private serving, ready to run.
Compounding production value: models built to run where you own the stack.
Enterprise production
Konic Duo-1
Balanced capability for enterprise production workloads — the cost-effective path.
Right-size compute.
Memory, latency, and hardware cost fall through optimization, not only scale. Same task, a fraction of the footprint of general-purpose frontier models.
Deploy with control.
Versioned families ready to run inside your environment. Your integration stays stable across releases; data stays on infrastructure you own.
Lower total cost of ownership.
Agentic and production volumes do not compound into API invoices. Model economics stay predictable after agreement — usage does not tax every call.
From pilot to production excellence.
Konic provides the models and methods to accelerate every step. You own the result on infrastructure you control.
Book a demo01
Choose a production flow.
Start with one AI flow already running — or one you need to put into production. Align on success metrics and data readiness.
02
Deploy a Konic family.
Run Uno-1, Duo-1, or Tres-1 inside your environment. Versioned releases keep integrations stable while capability matches the risk of the workflow.
03
Measure and decide.
A/B test against the model you use today — or against your success criteria when there is no incumbent. Decide on measured results, not claims.
Complete deployment flexibility.
Self-hosted in your environment.
Deploy on infrastructure you own — private networking, your keys, your data plane. Maximum control for regulated and air-gapped workloads.
Private cloud.
Run Konic families in your VPC with deeper integrations and alignment to existing security and compliance controls.
Edge and constrained hardware.
Optimization paths (pruning, quantization, MoE compression) target real production hardware — including published Apple Silicon and GPU results.
Versioned model access.
Families ship as versions so production integrations stay stable while you upgrade capability on a schedule you choose.
Next step
Own your production AI.
Evaluate a Konic Models family on one real workflow measured against the model you use today.
Book a demo