Native multi-tenancy
Tenants isolated by RLS, OpenFGA and Cilium namespaces, with quotas and costs tracked per customer.
Solutions
AI at operator scale, for your teams and your customers
Operators combine huge volumes, real-time interactions and offers for their business customers. The platform must hold the load and isolate every customer.
At a glance
- Native multi-tenancy
- Real-time voice
- Scaling
- FinOps
Your challenges
What AI must respect in your industry
01 - Volumes and real time
Customer care, voice and network supervision demand short response times at scale.
02 - Offers for businesses
Offering AI to your business customers requires strict isolation between them.
03 - Complex operations
Procedures, incidents and configurations are spread across many tools.
Our answer
What Navin brings
Real-time voice
LiveKit and WebRTC, speech recognition and synthesis, voice activity detection.Scaling
HPA and KEDA autoscaling, NATS JetStream queues and GPU pools.FinOps
Cost per customer, project and model, reconciled with provider invoices.
Use cases
Concrete use cases
Examples of use cases your teams can build on the platform.
01 - Customer care
Voice and text agents for common requests, with a smooth handover to an adviser.
02 - Support for network teams
Search in procedures and incident history to speed up diagnosis.
03 - AI offer for businesses
A shared platform to offer assistants and agents to your business customers.
04 - Ticket qualification
Classifying, prioritizing and proposing resolutions for tickets.
Other industries
Let's talk about your use cases
An architect studies your constraints and the right topology with you.