Technical overview • Dali
Dali — AI workloadcontrol plane
Classify prompts, route inference, and enforce policy before execution—optimizing each request for cost, latency, carbon, compliance, governance, and observability.
The Autonomous Journey
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Core Capabilities
Classify
Parse natural-language intent into operational constraints: cost caps, latency targets, carbon budgets, compliance rules, and policy boundaries.
Route
Run compliance and policy checks, then select models and regions based on live signals—not a static default stack.
Execute
Run inference on the selected provider with the constraints you defined—no silent drift from the intended operating envelope.
Observe
Log cost, latency, carbon, energy, and compliance outcomes per request for finance, security, and sustainability reporting.
What Makes Dali Different
Pre-execution governance
Policy gates and compliance checks run before inference—not after the fact.
Carbon- and cost-aware routing
Route with operational constraints visible at decision time, not estimated later.
Provider-agnostic control plane
Connect your own providers; Dali optimizes routing across the stack you already use.
Measured latency and spend
Track p99 latency and cost per request against budgets and SLOs.
Audit-ready trails
Per-request records for security, finance, and regulatory review.
Portal and CLI
Same classify → route → execute → observe flow from the UI or terminal.
Impact
Governed stages: classify intent, route inference, execute, observe—with policy before execution
Policy and compliance checks enforced prior to inference, with auditable outcomes
Per-request visibility for cost, latency, carbon, and compliance—not blended averages
See Dali on the live platform
Request access, review routing plans, and connect providers—same product experience as lammaai.com.