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NeuralSeek and Microsoft Foundry
Microsoft Foundry is a strong choice for teams building inside Azure. NeuralSeek gives you a ready governed platform that runs on Azure or anywhere else.
Key differences
How Foundry and NeuralSeek differ
Foundry gives you parts to assemble. NeuralSeek arrives with them working together.
What you get
Microsoft Foundry
A catalog of models, evaluation tools, agent services and safety services that you assemble into an application.
NeuralSeek
Retrieval, confidence scoring, guardrails, PII masking, agent workflows and answer logs, already working together. You configure them.
Where it runs
Microsoft Foundry
Azure. That is the design goal, and it lines up identity, networking and compliance with the rest of your Azure setup.
NeuralSeek
Azure, through the Microsoft marketplace or your own tenant, plus IBM Cloud, AWS, Kubernetes, OpenShift or fully isolated on-prem.
Where policy is enforced
Microsoft Foundry
Content filtering and evaluation are services you wire into your application.
NeuralSeek
Guardrails run on every request, so each new agent gets prompt-injection screening, sensitive-data handling and confidence thresholds from the start.
What it asks of your team
Microsoft Foundry
A platform team to choose components, integrate them and keep them current. Teams with that capacity often prefer this.
NeuralSeek
Configuration in a visual editor or in NTL, NeuralSeek's template language, so domain experts can build and change agents without maintaining the plumbing.
When to use each
Pick the one that fits your team
Foundry suits Azure-only teams with platform engineers. NeuralSeek suits teams that need governed AI running soon, wherever it has to run.
All in Azure, with a platform team
If every workload lives in Azure and your engineers want to own the assembly, Foundry is a natural fit.
Some workloads must stay on-prem
NeuralSeek runs the same way on Azure and on your own hardware, isolated from the network, so one set of guardrails and logs covers both.
A deadline to ship governed AI
NeuralSeek arrives with grounding, guardrails and answer logs working, so your team spends its time on your use case.
Questions about Azure and NeuralSeek
Running on Azure and keeping what you have built.
Can NeuralSeek run on Azure?
Yes. Buy it through the Microsoft marketplace or run it in your own Azure tenant, with Azure OpenAI models.
We already built on Foundry. Can we keep it?
Yes. Your model endpoints and data stay as they are. NeuralSeek can call Azure-hosted models and add retrieval, guardrails and logging around them. Request a demo to scope it against your setup.
How portable is a NeuralSeek deployment?
A deployment is a container, its configuration and your own data stores. Your model endpoints stay yours, and the same container runs on any cloud or on-prem.
Start building with NeuralSeek today.
Sign up online and start with a two-week trial, or talk to a NeuralSeek expert about running it in your own cloud.