AI Grid: Optimizing data centers with AI to cut costs, reduce CO₂, and improve reliability.
One workspace
Build, test, and share copilots in a single place, no more scattered pilots or shadow tools.
Pre-approved blocks
Templates, components, and policies your teams reuse so security signs off once.
Deploy where work happens
Publish to web, Slack, or Microsoft Teams with access controls and usage limits.
Models & data, your choice
Bring Azure OpenAI, Anthropic, OpenAI, Mistral, and connect SharePoint, Confluence, Google Drive, Snowflake, Salesforce.
Guardrails & audit
SSO/RBAC, content filters, zero-retention options, and full action logs exportable to your SIEM.
Smart routing & cost control
Route prompts to best-fit providers, track spend, and keep quality high with evaluations.
Ship internal copilots fast, without re-review every time
Standardize how copilots are built and governed. Reuse guardrails, audit once, and prove value with usage and cost analytics.
Energy & cost optimization
Real-time tuning of cooling setpoints, airflow, and power usage to lower PUE and energy spend.
Carbon-aware operations
Shift flexible workloads to cleaner grid windows; track CO₂e per app, rack, and site.
Predictive maintenance
Detect anomalies in chillers, CRAC/CRAH, UPS, and batteries before failures impact SLAs.
Workload placement
Recommend placement across on-prem, colo, and cloud based on latency, risk, cost, and emissions.
Reliability
Early-warning alerts on thermal hotspots, power draw spikes, and capacity constraints.
Very valuable
“AI Grid gave us continuous tuning instead of one-off audits, lower bills, fewer alarms, and cleaner operations.”
