Modern AI, entirely inside your environment
Some data simply can't go to a third-party API — regulatory rules, contracts, client confidentiality, or company policy. Self-hosting open models lets you use capable AI while every request and every byte of data stays on infrastructure you own and control.
We deploy open models in your cloud account, your private network, or on your own hardware, and build the surrounding application so your team gets the AI features they need without the data ever leaving.
- Open models deployed in your cloud, VPC or on-premises hardware
- No customer or proprietary data sent to external AI providers
- Full control over data retention, logging and access
- The application layer — search, chat, extraction — built on top
- Runs within your existing network and security controls
An honest look at the trade-offs
Self-hosting isn't automatically better — it's a trade. You gain control and privacy; you take on the cost and effort of running the infrastructure, and open models may trail the very best hosted models on the hardest tasks. We're upfront about all of it.
The biggest driver is hardware: capable models need serious GPUs, and that cost is ongoing whether it's your own machines or reserved cloud capacity. We help you pick a model sized to your actual quality needs so you're not overpaying for capability you won't use.
- Straight comparison of self-hosted vs. hosted on cost and quality
- Model sized to your real quality bar, not the biggest available
- GPU/hardware requirements and running costs spelled out clearly
- Guidance on where a hybrid approach makes more sense
- Realistic take on where open models match hosted ones and where they don't
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Frequently asked questions
Are open self-hosted models as good as the big commercial ones?
For many real tasks — search, extraction, classification, routine drafting — capable open models are more than good enough. On the hardest reasoning tasks, the best hosted models can still have an edge. We test open models on your actual use-case so you can decide with evidence, not marketing, whether the trade for full privacy is worth it.
What does it cost to run a model ourselves?
The main cost is the hardware — capable models need GPUs, whether you buy them or rent cloud capacity — plus the effort to operate it. Depending on your volume, self-hosting can be cheaper or more expensive than a hosted API. We'll estimate both for your situation so the decision is grounded in real numbers.
Do we need our own data center for this?
No. Self-hosted just means you control the environment — that can be your cloud account or private network, not necessarily physical servers you own. The key is that your data stays within your boundary and isn't sent to an outside AI provider. We'll recommend the deployment that fits your infrastructure and rules.