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Private AI Infrastructure
AI is now the foundation;Why isn’t your AI Infrastructure?
Most enterprises are running AI like it's still an experiment — fragmented tools, rising token bills, and sensitive data leaving the building on someone else's terms. Gridlight is the private AI infrastructure built for how AI actually works at scale.
The Gridlight AI inference layer
Orchestrators
- Workload Orchestrator
- Model Router
- Policy Engine
Model Fabric
Your modelsCapacity Governor
Policy-driven
capacity & QoS
Observability
& Audit
- Telemetry
- Audit Logs
- SLOs
The infrastructure problem nobody is talking about
The way enterprises are running AI today is structurally broken.
It's not a tools problem. It's not a budget problem. It's an architecture problem — and it compounds with every deployment you add.
TENSION 01
"Cut costs with AI." But every AI you deploy adds a cloud bill.
IT leaders across every sector have received the same directive: leverage AI to do more with less. The irony? Every new deployment adds another metered subscription, another vendor contract, another event where sensitive data leaves the building. The mandate and the architecture are pulling in opposite directions.
TENSION 02
One AI tool per problem. No shared foundation. No path forward.
Under cost pressure, teams cobble together point solutions — a chatbot here, a summarizer there, an automation tool for that department. Each one is its own island: different models, different APIs, different cost centers, zero shared context. This isn't an AI strategy. It's AI sprawl masquerading as progress.
TENSION 03
Cloud AI pricing feels manageable at pilot scale. It doesn't stay that way.
Per-token pricing compounds. As workflows automate, documents process, and queries multiply, the bill grows with every interaction. Rising token costs aren't a pricing negotiation problem — they're an architectural problem. One that only gets worse as you scale.
There is a better architecturewaiting.
The enterprises winning with AI aren't building on borrowed infrastructure. They're building on their own.
The Gridlight platform
One control plane. Every model. Infrastructure you own.
Gridlight is the abstraction layer between your enterprise and your AI — a private inference platform that runs on hardware you control, routes to the right model for the right workload, and keeps your data exactly where it belongs. Not another cloud subscription. Not another vendor API key. A foundation.
Hot-Swappable Models
Run any model today. Swap in a better one tomorrow. No rewrites, no migration projects, no vendor lock-in. Your stack evolves with the model landscape.
Intelligent Routing
Route queries to the right model automatically — based on cost, capability, and compliance requirements. Purpose-fit AI for every workload, managed by policy.
Contextual Learning
Your AI gets smarter about your business over time. Knowledge compounds inside your environment — it never leaves, never trains a vendor's model, never becomes someone else's advantage.
Unified API
Every application in your enterprise connects through one integration. AI sprawl becomes AI governance. One endpoint, full observability, complete auditability.
Built for your entire organization
Every stakeholder in the decision has a distinct concern. Gridlight addresses all of them.
The AI infrastructure decision isn't made by one person. Follow the path most relevant to your role.
CIO
Governance across every AI workload, on infrastructure you already control.
Stop managing AI sprawl department by department. Gridlight gives you a single control plane — with policy enforcement, unified audit logging, and a deployment model that integrates into your existing enterprise architecture.
See enterprise integrationsCFO
Turn unpredictable cloud AI spend into a capital investment with a measurable return.
Cloud AI is pure OpEx that compounds with usage. Gridlight on owned hardware is CapEx — predictable, depreciable, and dramatically cheaper at scale. See the 36-month comparison.
See the cost modelCISO
Data sovereignty isn't a setting. It's the architecture.
Gridlight eliminates the entire category of cloud AI data exposure risk. Your data, your models, your environment — with framework-specific coverage for HIPAA, NIST CSF, GLBA, NCUA, CMMC, and SOC 2.
See compliance coverageAI Infrastructure
Hot-swap models, route by policy, govern utilization — without rebuilding your stack.
Every capability your team would build from scratch over six months, purpose-engineered and production-ready. Model routing, capacity governance, observability, and a unified API that abstracts away the model layer entirely.
Read the architectureData Architect
Bring AI to the data. Not the other way around.
Gridlight's architecture eliminates data gravity entirely. Context is loaded locally, inference runs on-premises, and model outputs never contaminate shared weights. Your data lineage stays clean and your proprietary context stays yours.
See the data flowKey capabilities for data teams:
- Local RAG with no external vector store dependencies
- Inference isolation — outputs never return to model weights
- Full data lineage across every inference event
- Multi-model sharding for large document corpora
10x
Lower latency at the edge versus cloud inference round-trips
60-80%
Lower inference cost at scale on hardware you already own
At 10M calls/month, the difference between a six-figure cloud contract and infrastructure you own.100%
Data residency — your data, your models, your environment. Full stop.
Designed for the compliance environments you already operate in
See how Gridlight maps to your specific framework. View compliance coverage
Model Collaboration
Model Collaboration lets specialized models converge on governed answers using shared local context.
Executive query
Review this regulated workflow across finance, policy, legal, and operations.Processing query...Query completed!
↵Synthesis Enriched Answer
The infrastructure AI deserves