Capabilities & Domain Boundaries
Before anything executes, the Data Engineer makes sense of the mess: 'kirana' or 'মুদি দোকান' normalise to retail, 'DHABA' to food & beverage. Long voice notes are sliced, summarised and flushed from memory the moment execution completes — keeping context fresh and slot-free.
Linguistic Category Normalization
Transforms colloquial regional expressions into standardised system parameters — 'kirana' and 'মুদি দোকান' map to retail, 'DHABA' and 'খাবার হোটেল' to food & beverage.
Intermediate Packet Consolidation
Long, unorganised ledgers and spreadsheets are partitioned into 1-minute slices, summarised on a virtual blackboard, and volatile memory is flushed the moment an agent moves to COMPLETED.
Blackboard Context Injection
Stamps demographic location, micro-regional weather and festival calendars (rain in Ranaghat, Durga Puja in West Bengal) onto active payloads with industry terms and priority KPIs.
PII Scrubbing for DPDP
Personally identifiable information is scrubbed at source, and deterministic Python logic merges data into reports with 100% mathematical accuracy.
What the Owner Gains
- Dialect aliases resolved with 100% mapping accuracy
- Long contexts never degrade mid-task
- PII scrubbed before storage — DPDP safe
- Reports mathematically exact every time