AI products for customers and teams
Applications that help people search, analyze, create, or complete a valuable task, with the experience and AI behavior designed together.
Private Deployment
Private AI deployment for regulated enterprises.
Define where the application, documents, retrieval layer, and model calls run. We support customer cloud, on-premise, tenant-isolated managed service, and approved hybrid deployment patterns.
One team from idea to launch. Work directly with senior product, AI, software, and data specialists who can design the experience, build the system, connect it to your business, and support it in production.
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Why sensitive workflows need deployment choices
For confidential diligence, regulatory compliance, legal, and professional-services workflows, the deployment model matters. We design around the client's approved data boundary, whether that means private cloud, VPC, tenant-isolated, or on-premise paths.
02
VPC and On-Premise Deployment
We can package application layers such as Underlying, SemeLabs, and Pelestra into containers for deployment in an approved AWS, Azure, or GCP environment or customer-controlled infrastructure. Network requirements depend on the selected model and integration architecture; external calls are removed only when the approved design uses self-hosted or private endpoints that support that boundary.
03
Security controls and identity integration
Deployments can integrate with enterprise identity providers such as Okta or Entra ID using SAML/OIDC, enforce RBAC, use customer-managed encryption where required, and preserve audit trails for sensitive workflows.
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Self-hosted open-source model integration
If your compliance requires zero data leaving your servers, we can design self-hosted model inference and document-processing paths on approved infrastructure, with clear tradeoffs around latency, accuracy, cost, and maintenance.
Where this can help
Start with the change your users or business need.
You may want a better customer experience, more capacity for your team, or a faster way to reach an important decision. We help you turn that need into the right product or system.Systems for expert work
Document and knowledge systems that prepare analysis, surface evidence, and give experts control over consequential decisions.
Operational data and decision systems
Applications that connect approved business data, visible query logic, and useful answers to the people running the business.
FAQ
Frequently asked questions
What is private AI deployment?
Private AI deployment defines and controls where the application, data-processing services, storage, retrieval layer, and model endpoints run. A VPC or on-premise application does not automatically mean every model call stays inside that boundary, so the complete data flow must be reviewed and approved.
Do we need specialized hardware for on-premise deployment?
Depending on the models used, GPU infrastructure may be required. We work with your IT team to specify the necessary hardware or design architectures that leverage CPU-optimized models where appropriate.
Technology partnership
Build with an OpenAI Select Partner.
Recognized by OpenAI for helping organizations build, deploy, and scale AI solutions.Have something in mind?