< 2 wks
Typical time from installation to first production inference in a standard enterprise environment
Enterprise Integrations
Gridlight fits where your enterprise already lives.
The first question every CIO asks isn't "what does it do?" — it's "what does standing it up actually look like in my environment?" This page answers that question directly: how Gridlight integrates with your existing identity, observability, and enterprise application stack.
Deployment philosophy
Gridlight adopts your standards. Not the other way around.
Enterprise organizations have spent years building identity infrastructure, security tooling, and governance frameworks. Gridlight is designed to integrate into that existing investment — not replace it, not work around it, and not create a parallel governance structure that your team has to manage separately.
Every integration point listed on this page reflects a deliberate design decision: wherever an enterprise standard exists, Gridlight supports it.
1
Integration point required in your application layer — regardless of how many models or use cases you deploy
0
New data vendor relationships created. Gridlight is infrastructure — it holds no data and requires no data processor agreement
Any
GPU hardware vendor supported. Gridlight is hardware-agnostic across NVIDIA, AMD, and specialized AI accelerators
Observability & SIEM integration
AI inference activity visible in the tools your security team already uses.
Gridlight's audit and telemetry layers are designed to feed into your existing observability and SIEM infrastructure — not replace it. Security events, inference activity, and policy violations appear in your SOC's tooling alongside every other enterprise system.
SIEM INTEGRATIONS
- Splunk (via HEC)
- Microsoft Sentinel
- IBM QRadar
- Elastic Security
- Sumo Logic
- Syslog / CEF (generic)
WHAT GETS LOGGED
- Every inference request: user, timestamp, model, policy applied
- Data classification tags assigned to each query
- Authentication events and access changes
- Model deployment and configuration changes
- Capacity utilization and performance SLOs
- Anomaly alerts: unusual query patterns, volume spikes
Enterprise application integration
Any application. One integration.
Because Gridlight exposes a unified REST API, any application in your enterprise can integrate with AI capabilities through a single endpoint — regardless of the underlying model or workload. Integration debt doesn't accumulate as your AI program grows.
PRODUCTIVITY PLATFORMS
Microsoft 365, SharePoint, Teams, and Google Workspace integrations via standard REST calls. AI capabilities surface inside existing workflows without employee retraining.
CRM & ERP SYSTEMS
Salesforce, SAP, Oracle, and similar enterprise systems connect to Gridlight for document processing, data analysis, and workflow automation — without data leaving your environment.
TICKETING & ITSM
ServiceNow, Jira, and ITSM platforms integrate for intelligent triage, automated categorization, and KB-assisted resolution — all on your infrastructure.
CUSTOM & INTERNAL APPS
Internally developed applications connect through the standard REST API. Language SDKs available for Python, JavaScript, Java, and Go. No proprietary client library required.
Procurement & engagement model
From first conversation to production deployment.
STEP 01
Discovery & scoping
Technical and business stakeholder sessions to map your existing infrastructure, identify use cases, and scope the initial deployment. Typical duration: 1–2 weeks.
STEP 02
Pilot deployment
Single use case, limited user group, connected to your existing identity and observability infrastructure. Produces a validated integration blueprint for full deployment. Typical duration: 2–4 weeks.
STEP 03
Enterprise rollout
Full deployment based on the pilot blueprint. Additional use cases onboarded through the same control plane — no new integration work per use case. Typical duration: 2–6 weeks.
ONGOING
Platform maturity
New models added to the fabric as the landscape evolves. Use cases added without infrastructure changes. Governance policies refined as your AI program matures.
Integration assessment