Index N°01 Volume 2026 Pune · 18.5°N
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Generative Innovation & Intelligence

AI that talks,
chats & thinks —
in production.

From voice bots that answer the phone to WhatsApp agents that close deals and LLM stacks engineered for your domain — Genovance builds the quiet, dependable AI infrastructure behind the businesses you trust.

60%
Average efficiency gain
150+
Production deployments
Est. 2023
AI-native, Pune-built

Try it yourself

Speak to Genie.
She speaks back.

A live demonstration, not a pitch. Press the button and have an unscripted conversation with our production voice agent. Average response: under 200ms.

Ready · click to begin
N°03 Three pillars

A vertical AI stack for the enterprise.

Voice, messaging, and bespoke language models — engineered together so they behave like one product. Same observability, same identity, same security posture.

01

Voice Bot

Human-grade voice automation.

Voice agents that answer calls, qualify leads, run surveys, and resolve support — 24/7, across 40+ languages, indistinguishable from a live agent on a clear line.

  1. Real-time STT/TTS with <200ms latency & natural interruption handling
  2. 40+ languages with regional dialects & code-switching
  3. CRM + telephony connectors — Salesforce, HubSpot, Twilio, Exotel, Asterisk
  4. Sales, support, collections, HR helpdesk — any conversation
Deploy Voice Bot
02

Chat Bot

Omnichannel messaging agents.

AI agents that live where your customers do — WhatsApp, Instagram, Telegram, Slack, web — managing sales, support, and lead generation with full conversational memory.

  1. WhatsApp Business API, Instagram DMs, Telegram, Slack & web chat
  2. Context-aware conversations with persistent cross-session memory
  3. Automated lead qualification, follow-ups, and catalog sharing
  4. Seamless human handoff with full transcript context preserved
Deploy Chat Bot
03

LLM Services

End-to-end language model engineering.

From data pipelines to production inference — custom LLM stacks tailored to your domain, your data, your latency budget. Open-source or frontier; on-prem or cloud.

Consult LLM Experts
3.1 ·
RAG Pipelines
Vector embeddings, semantic retrieval, hybrid search & re-ranking for grounded, citable responses.
3.2 ·
Distillation
Teacher-student training. Shrink frontier-class models into 7B–13B domain experts that run on a single GPU.
3.3 ·
Quantization
GGUF, GPTQ, AWQ at INT4/INT8 — on-prem, mobile, or edge inference with minimal quality loss.
3.4 ·
Grounding
Fact-check layers, tool use, function calling, real-time API grounding — hallucinations eliminated.
3.5 ·
Fine-tuning
LoRA / QLoRA fine-tuning on your domain — legal, medical, finance, e-commerce and beyond.
3.6 ·
MLOps & Infra
Model serving, observability, A/B tests, and CI/CD pipelines for production language systems.
N°04 Where it works

Built for the industries that can't go down.

Banking floors, hospital wards, factory cells, ed-tech classrooms. Compliance, latency, language, and uptime are decided first; the conversation comes after.

01 / 06

Banking & FinTech

Automated loan eligibility, account queries, fraud alerts via voice. Chat AI for KYC onboarding and advisory.

02 / 06

E-Commerce & Retail

WhatsApp catalogue sharing, order tracking, abandoned-cart recovery, and personalised recommendations.

03 / 06

Healthcare & Pharma

Voice bots for appointment booking, prescription reminders, symptom triage. Chat agents for follow-ups.

04 / 06

Real Estate

AI voice agents that call leads, schedule visits, and qualify buyers 24/7. WhatsApp bots that close inquiries.

05 / 06

EdTech & Learning

AI tutors on WhatsApp for doubt resolution, course matching, exam prep. Voice bots for admissions.

06 / 06

Manufacturing & Logistics

LLM-powered knowledge bases for maintenance manuals, supply chain analytics, and vendor automation.

N°05 Method

From discovery to production — in weeks.

A four-stage sprint method. Same framework, three products. Discovery, engineering, evaluation, deployment — with you at every checkpoint and a production-grade prototype by week four.

01

Discovery & call-flow design

We map your call flows, define intents, and design conversation scripts aligned with your brand and compliance requirements.

02

Voice persona & integration

A custom AI persona is voiced, telephony is connected (Twilio, Exotel, Asterisk), and CRM & ticketing tools are wired in.

03

Training & QA testing

Thousands of call scenarios are simulated. Intent recognition is tuned for edge cases, accents, and noise conditions.

04

Go-live & optimise

Production deployment with live dashboards, call analytics, and weekly improvement loops based on real conversations.

N°06.1
60%
Average efficiency gain
across deployments
N°06.2
1.2M+
Conversations
handled monthly
N°06.3
98.2%
Average CSAT
trailing 90 days
N°06.4
150+
Enterprise
deployments
N°07 The Genie OS

One architecture.
Every channel.

Voice, chat, and bespoke language models share the same brain. One identity layer, one observability stack, one security posture. Plug in at any layer — we'll meet your stack where it lives.

LAYER 01 · Surface
Channels
The places your customers are
WhatsApp Instagram Telegram Slack Web Chat Voice / Telephony SMS
LAYER 02 · Orchestration
Genie OS
Routing, identity, memory, handoff
Conversation router Persistent memory Tool calling Human handoff Compliance gate
LAYER 03 · Intelligence
Language Models
Open-source · frontier · domain-tuned
Llama 3 · Mistral · Gemma GPT-4o · Claude · Gemini RAG retrieval Fine-tuned adapters Distilled / quantized
LAYER 04 · Data & Tools
Connectors
Your business systems, wired in
Salesforce HubSpot Zoho Twilio · Exotel · Asterisk Shopify · Freshdesk Custom REST · GraphQL
LAYER 05 · Substrate
Infrastructure
Cloud · VPC · on-prem · edge
AWS · GCP · Azure VPC On-prem bare metal Air-gapped & edge Full observability SOC 2 · ISO 27001
N°08 Selected work

Outcomes, not output.

Four engagements, four industries, four different definitions of success. Each measured against the metric the customer chose at the start — and held against it at the end.

Featured · Banking Mumbai · 2025

A national bank automates 80% of inbound support — and saves ₹2.1 crore a year.

One of India's leading private banks deployed Genie across its IVR. Today the bot handles balance inquiries, card blocking, transaction disputes, loan status, and KYC checks — 24/7, in six languages, with seamless agent escalation when confidence drops.

80%
Calls automated
₹2.1Cr
Annual savings
4.8/5
CSAT
E-Commerce · Chat 01 / 03

D2C skincare brand sees 32% lift on WhatsApp.

A fast-growing D2C brand integrated WhatsApp AI for product discovery, recommendations, and post-purchase support. The bot recovered 40% of abandoned carts via intelligent follow-up sequences.

32%
Conversion lift
40%
Cart recovery
3.2×
90-day ROI
Healthcare · LLM + RAG 02 / 03

12-hospital network deploys a HIPAA-grade clinical knowledge engine.

Doctors needed instant queries against clinical guidelines, drug interactions, and patient records. We built a RAG system on their EMR + 50,000 clinical documents, fine-tuned on medical terminology, residency-compliant.

65%
Time saved
<2s
Response
100%
On-prem
Manufacturing · Distill + Quant 03 / 03

Factory floor LLM runs offline on a single laptop.

A global manufacturer needed a maintenance assistant for floor technicians — with no internet. We distilled a 70B model into a 7B domain expert, quantized to INT4, deployable on a single laptop without cloud.

10×
Smaller
47%
Less downtime
$0
Cloud cost
N°09 Notes & Margin

Questions, answered.

Six recurring questions from procurement, security, and engineering teams — answered honestly. If yours isn't here, write to us.

A standard deployment takes 2–4 weeks from discovery to go-live. Complex multi-channel deployments with deep CRM integrations may take 6–8 weeks. We work in weekly sprints with staging demos at every checkpoint.
Yes. Voice supports Hindi, Tamil, Telugu, Kannada, Malayalam, Marathi, Bengali, and Gujarati — with dialect-aware STT. Chat handles every major Indian and global language via multilingual LLMs.
RAG retrieves relevant information at query time — perfect for frequently changing knowledge bases. Fine-tuning trains the model's weights on your data — better for style, tone, and domain reasoning. We typically combine both.
Absolutely. For banking, healthcare, and government, we offer fully on-prem deployments — bare metal, private cloud (AWS/GCP/Azure VPC), or air-gapped environments. No data leaves your infrastructure.
Both Voice and Chat have intelligent escalation logic. When confidence falls below a threshold — or the user asks for one — the system hands off to a live agent with the full conversation context preserved.
We're model-agnostic. Open-source (Llama 3, Mistral, Gemma, Phi-3) for on-prem and cost-sensitive deployments. Frontier APIs for highest accuracy cases. The right choice depends on use case, budget, and data residency.

Let's build together

Ready to deploy AI
that actually works?

A 30-minute demo. We'll show a live Voice Bot and Chat Bot specific to your industry — no slides, no sales pitch, just the product.

N°10 Contact

Start the conversation.

Tell us about your use case — industry, channel, scale, and where you are in the process. Our engineers respond within one business day.

Address
Balewadi, Pune — 411045
Hours
Mon – Fri · 09:30 – 19:00 IST

What to expect

01We respond within 24 business hours.
0230-minute discovery call with our AI engineers.
03Live product demo, tailored to your industry.
04Custom proposal — scope, timeline, and pricing.

Send us a message

Talk to Genie