Resources / Data Nexus

Developer

Platform overview

A private control layer between your apps and your AI models — running on your own servers, in a private cloud, or in a hybrid setup.

SYVA Data Nexus is a secure platform you install yourself. It helps organizations run, control, and scale AI model serving on their own infrastructure. It sits between your applications and your AI capabilities — whether those are custom models on private GPUs or approved external AI services.

In one line: the private control layer for enterprise AI serving and agent workloads. It does not train models or replace your model runtime — it helps you register, secure, route, and operate the AI services you already run or connect to.

The business problem

When companies run AI on their own hardware (or mix private models with cloud APIs), the same problems keep showing up: services scattered across machines, different ways to access each model, weak records of who called what, and no single safe entry point for apps that need AI.

ChallengeImpact
AI services live on many machines and teamsHard to find, route traffic to, and operate at scale
Model traffic shares the same path as admin toolsSlower performance and a larger security risk
Every model is exposed in a different wayApp teams struggle to integrate consistently
Cloud AI APIs sit beside private modelsTwo separate security and integration approaches
AI data must stay inside your network (no outside AI clouds)You need software that runs on your servers, not a vendor cloud dashboard

What you bring — and what you get

Inputs

  • AI model services on private servers or GPU machines
  • Approved external AI providers you choose to connect
  • Operators, access rules, and policies
  • Apps and automation that need controlled access to AI
  • Infrastructure you own or control

Outputs

  • One secure HTTPS API for all approved AI services
  • A central admin console for the cluster and access management
  • Visibility into usage, health, diagnostics, and audit history
  • Controlled access to on-prem models and cloud APIs
  • Session and conversation building blocks for agent-style apps

Core capabilities

AI service operations

  • Register and onboard model services across one or many machines
  • Approve services and manage their lifecycle before production traffic
  • Emergency lockdown to block new service registrations during incidents
  • Monitor health and scale related services as a group

Secure access & governance

  • One front door for apps that call AI APIs
  • API keys limited by service, rate limits, roles, and audit logs
  • Network controls that fit enterprise security policies

Hybrid AI integration

  • Reach private model services without exposing every port to the wider network
  • Bring approved cloud APIs under the same access rules as on-prem services
  • Keep provider API keys on the server — not inside every consumer app

Developer enablement

  • Syva Service SDK — register, send heartbeats, and shut down cleanly so your service leaves the mesh
  • One proxy-style URL pattern and API keys for apps that consume AI

Who it is for

StakeholderPrimary need
CIO / CTOKeep AI under company control with clear governance
AI / ML platformRun many model services across GPU machines
IT / SecurityNetwork controls, access policy, and audit trails
Application teamsA stable, documented API to approved AI capabilities
Compliance & riskProof of who accessed which AI capability and when

Deployment models

ModelDescription
Single-siteControl platform and model serving in one environment — good for pilots and a first department rollout
Distributed clusterCentral platform with model serving on multiple GPU worker machines
Hybrid AIPrivate on-prem models plus approved cloud providers, under the same access rules

All models are hosted by you. SYVA runs on infrastructure you control.

Typical use cases

  • Serving private LLMs and specialized models on GPUs you own
  • One internal AI API hub for teams and approved partners
  • Mixing on-prem and cloud AI under one set of policies
  • Sites that must keep AI inside their network (e.g. banks, hospitals, government)
  • Chat and agent applications that need controlled access to models

Product story and visuals: SYVA Data Nexus product page. Architecture narrative: How it works.