Queues for routine calls
Callers wait for answers to simple, repeated questions.
Voice AI
Your business. Your customers’ language.
NIM model · Human handover
What it solves
The problems teams most often bring to us first.
Regional-language gaps
Customers who prefer their own language are under-served.
Outcomes not captured
Call details rarely reach your systems consistently.
After-hours demand
Enquiries outside office hours go unanswered.
Our own models
Our models. Your voice experience.
NIM develops its own fine-tuned voice models for business conversations. We bring the model, conversation design, system integrations, and human handover together into one implementation.
18Indian languages supported
TamilMalayalamTeluguKannadaHindi+ 13 more
Tell us your language mix and we will confirm coverage for your project.
Language, with context
Shape the conversation around the languages your customers use, your terminology, and the task at hand.
Connected to the workflow
Turn a conversation into an appropriate next step: an answer, captured information, a request, or a handover.
A clear path to a person
Define the situations where your team should take over, with useful context carried forward.
Listen
A short conversation about what we do
Asha asks the business questions. Ravi explains how automation, voice and vision fit together in a real project.
A scripted demonstration with voices generated by Google Gemini. It is not a recording of NIM’s own voice model.
Read the transcript
AshaWhat can NIM help a business implement?
RaviWe bring AI into everyday work. That includes workflow automation, voice assistants, computer vision, knowledge assistants, and the data connections behind them.
AshaLet’s make that concrete. Say a team spends hours handling incoming requests.
RaviAn automation can organise each request, check the required information, and send it to the right team. People stay involved where approval or judgement is needed.
AshaAnd if the request comes through a phone conversation?
RaviNIM’s own fine-tuned voice models support eighteen Indian languages, including Tamil, Malayalam, Telugu, Kannada, and Hindi. The implementation connects the conversation to the next action, with a route to a person.
AshaWhere does computer vision fit?
RaviOur vision models help interpret images and video for defined tasks, such as inspection, object counting, and operational monitoring. We test the approach in the conditions where it will be used.
AshaWhat’s the first step?
RaviChoose one business challenge. We map the workflow, agree how to evaluate it, and validate a focused pilot before planning a wider rollout.
Where it helps
Each application is scoped around your data, environment and requirements.
Customer support & FAQs
Answer routine questions using approved business information, and pass complex requests to your support team.
Appointments & service requests
Collect the necessary details and connect to booking or service-management workflows.
Lead qualification & routing
Understand the enquiry, capture relevant information, and route it to the appropriate sales team.
Order & status enquiries
Connect to authorised systems so callers can request relevant order or service information.
Feedback & follow-up
Structure consent-based feedback conversations and capture responses for your team to review.
Multilingual assistance
Serve callers in supported Indian languages with language-specific conversation design and evaluation.
How it works
A typical flow, configured around your rules and approvals.
- 01
Caller speaks
- 02
NIM voice model understands
- 03
Business workflow responds
- 04
Resolve or hand over
What a project includes
From the first question to a working system your team owns.
- Language, channel, and conversation requirements
- NIM voice model configuration for the agreed use case
- Conversation flows, fallback paths, and human handover
- Integration with approved business systems
- Language-specific evaluation and pilot review
- Rollout, documentation, and ongoing support plan
Technology & integrations
Telephony & SIP trunksCloud contact-centre platformsNIM voice modelsCRM & ticketingScheduling systemsWhatsApp Business
How we measure it
Acceptance criteria are agreed before a pilot grows into a rollout.
Language and intent
Test whether representative speech, terminology, and requests are understood in the selected languages.
Conversation quality
Review response relevance, latency, clarification behaviour, and successful human handover.
Workflow completion
Check that the right details reach the right system and that failures are handled clearly.
Questions, answered
Something else on your mind? Ask us directly.
Does NIM use its own voice models?
Yes. NIM has its own fine-tuned voice models. Our implementation combines those models with conversation design, business-system integrations, evaluation, and operational support.
Which Indian languages are supported?
Our voice models support 18 Indian languages, including Tamil, Malayalam, Telugu, Kannada, and Hindi. Share your required languages with the team to confirm the complete language coverage for your project.
Can it transfer a conversation to a person?
Yes. We design human handover into the workflow and agree on the triggers, destination, and context passed to the receiving team.
Can it connect to our CRM or booking system?
We assess the APIs, permissions, and data available in your systems. The integration is then scoped around the information and actions the voice experience requires.
How do you handle accents, background noise, and business terms?
We evaluate representative calls in the selected languages and operating conditions. This helps define realistic acceptance criteria, clarifications, and fallback behaviour.
Can we try one use case before expanding?
Yes. A focused pilot can validate a selected workflow and language set before a broader rollout. Scope and evaluation criteria are agreed during discovery.
