BayMachines is part of Y Combinator P26

Enterprise AI. Deployed on-premise.

Dedicated GPU infrastructure and software to run leading AI models privately inside the organization.

Built for compliance with

  • HIPAA
  • AICPA SOC
  • GDPR
  • ITAR
  • CMMC
  • Gramm-Leach-Bliley Act
  • NIS2

*Deployment architecture supports these frameworks. Certification status available on request.

Why BayMachines

AI infrastructure on enterprise terms.

Data privacy

Process sensitive documents, source code, and proprietary information within enterprise-controlled infrastructure.

No per-token fees

Run AI locally without per-token inference charges. Pay for infrastructure and support, not individual requests.

Configured and deployed

GPU hardware selected for the workload, configured and deployed on-site by BayMachines, with ongoing technical support.

One platform for AI operations

Evaluate and deploy models, configure prompt routing, and monitor usage across teams and applications.

Platform

One platform, from evaluation to production.

  • Meta Llama
  • DeepSeek
  • OpenAI
  • Kimi
  • Qwen
  • Mistral
  • NVIDIA

Evaluate models against enterprise workloads, deploy them locally, and manage prompt routing and usage from one platform.

A BayMachines on-premise AI appliance
The BayMachines platform showing deployed models, GPU utilization, and local inference endpoints

Common workloads

Private assistants

Search internal knowledge and work with company documents.

Coding

Use supported development tools with private model endpoints.

Document processing

Extract, classify, and summarize enterprise documents.

Internal applications

Connect business applications to locally deployed models.

Hardware

From a single system to private AI clusters.

Made in USAPowered by NVIDIA

A single BayMachines AI system, a desk-side compute unit with front ports

AI Systems

NVIDIA DGX Spark

Private inference and departmental AI workloads.

A BayMachines GPU server, two units stacked, front ports visible

Enterprise GPU Servers

Multi-GPU Infrastructure

Production inference and high-throughput workloads.

A BayMachines private AI cluster, five units stacked

Private AI Clusters

Rack-Scale Infrastructure

Dedicated AI capacity for enterprise and regulated environments.

Explore infrastructure

Industries

Built for regulated industries.

Healthcare & Life Sciences

Patient records, genomics, and clinical trial data analyzed on hospital hardware, under HIPAA.

Banking & Financial Services

Transaction data, anti-money-laundering screening, and trading models stay inside existing audit and access controls.

Defense & Aerospace

Intelligence products, telemetry, and program data processed in isolated on-premise environments.

Energy & Critical Infrastructure

Failure prediction and grid optimization for utilities that cannot depend on an outside connection.

Government & Public Sector

Citizen records, tax files, and law enforcement data held inside the jurisdiction residency rules require.

Pharmaceuticals & R&D

Drug discovery compute that keeps models and chemical structures on site.

Infrastructure designed for regulated environments

Deployments can be configured around organizational requirements for data residency, access control, auditability, encryption, and network isolation.

  • ITAR environments
  • CMMC requirements
  • HIPAA workloads
  • SOC 2 controls

End to end

Private AI infrastructure, deployed end-to-end.

Hardware

Enterprise GPU infrastructure selected for the workload.

Configuration

Models, runtime, networking, access, and software configured by BayMachines.

Deployment

Infrastructure installed within the enterprise environment.

Support

Ongoing software, infrastructure, capacity, and hardware lifecycle support.

Included in every deployment

  • GPU hardware sized for the workload
  • Configuration and on-site deployment
  • The BayMachines platform
  • Initial model evaluation
  • Ongoing technical support

Additional services

  • Fine-tuning on customer data
  • Custom integrations
  • Specialized performance optimization

Quoted separately. Not required to start.

Deploy AI infrastructure on-premise.