LOKA is designed for restaurant operations at scale — private by default, efficient by design, and safe for multi-outlet businesses.
Audio is treated as sensitive operational data. Only relevant, event-worthy interactions move through deeper AI analysis; the rest is filtered and discarded on schedule.
LOKA uses efficient event detection to focus AI on the moments that matter — complaints, SOP behaviour, upsell opportunities, service issues — so operational insight scales without runaway cost.
Uploads are encrypted in transit and at rest. Access is strictly scoped by brand and role. Raw audio is never exposed publicly and is protected by fine-grained storage policies.
Super Admin, Brand Admin, Area Manager, Restaurant Manager, Outlet and Staff roles each see only what they are meant to see — from KPI rollups to individual shift context.
Insights are retained long-term for trend intelligence; raw audio is retained only for the operational window your plan defines and is then removed automatically.
A layered pipeline — capture, event detection, classification, prioritisation, delivery — designed so the majority of interactions never need the most expensive AI tier.
Built to serve everything from a single café to franchise networks with hundreds of outlets, with shift-based batching that keeps operating cost predictable.
High-risk signals — payment issues, escalations, repeat complaints — are always preserved and surfaced to the right stakeholders, even under strict cost controls.
Data Handling
We're happy to walk your operations, IT and security teams through the architecture in detail.