Run local models on your own hardware.
Local models keep prompts and data on the device and leave no network trace. Company policy puts the controls back where the model runs: it checks each agent action before it runs.
Runtimes and models you can run on a laptop
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Ollama
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gpt-oss
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Llama
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Gemma
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Mistral
Use open-weight models with confidence.
Teams choose open-weight models to adapt and fine-tune them, to control cost, and to keep their data on servers they run. A modified copy can lose the model’s own refusals, so Certiv decides each step the agent takes on the endpoint.
8 of the 10 most-used models are open weight
Monthly tokens on OpenRouter, August 2026
- DeepSeek V4 Flash 0731 45.1T
- Hy3 (Tencent) 34.1T
- MiMo-V2.5 (Xiaomi) 29.4T
- Ox Alpha (Z.ai) 27.2T
- GPT-5.6 Luna (closed) 23.6T
- DeepSeek V4 Flash 0423 23T
- Nemotron 3 Ultra 15.3T
- GLM 5.2 14.7T
- DeepSeek V4 Pro 0423 9.55T
- Claude Opus 5 (closed) 7.11T
Open weight Closed
OpenRouter routed traffic only; first-party apps such as ChatGPT are not counted. Source: Mozilla, The State of Open Source AI, September 2026.
Open-weight families
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Llama
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Mistral
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DeepSeek
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Gemma
Use frontier models without handing over your data.
Send your data to a provider, and the provider’s rules govern it. Certiv brings company policy to the endpoint, where your data lives, and decides what an agent sends out before it leaves. A frontier model stays available.
Your data goes to the provider
The model comes to your data
PROVIDERYOUR COMPANYModelAgentProvider’s
rulesCopyYour datasent to the providerYOUR COMPANYFrontier, open-weight,
or localModelAgentCompany
policyYour data
Your data goes to the provider
PROVIDERYOUR COMPANYModelAgentProvider’s
rulesCopyYour datasent to the provider
The model comes to your data
YOUR COMPANYFrontier,
open-weight,
or localModelAgentCompany
policyYour data
Hosted by a provider
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Claude
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OpenAI
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Gemini