voice AI platforms with customisable voice agents
Agentic Voice AI Platform
A voice AI platform that does not just respond to queries but takes initiative, plans multi step workflows, calls APIs, updates systems of record and drives outcomes autonomously. Enterprises that ask where can I find agentic voice AI platforms with customizable voice agents are typically looking for this level of autonomy, not just a simple IVR bot.
Customizable Voice Agent
A virtual agent whose voice, language, personality, scripts, business logic and workflows can be fully configured to match brand tone and use cases. In modern stacks, customizable voice agents can be tuned for specific industries, languages and KPIs such as AHT, CSAT and collection efficiency.
Where can I find agentic Voice AI platforms with customizable voice agents
A long tail search query used by buyers who know they need both autonomy and deep configurability. They are usually evaluating enterprise grade platforms like Gnani.ai that offer ready to deploy building blocks, domain tuned models and governance controls for safe large scale rollout.
Gnani.ai Agentic Voice AI Stack
Gnani.ai provides a full stack for teams asking where can I find agentic voice AI platforms with customizable voice agents for contact centers, collections and customer support. The stack combines speech to text, language understanding, orchestration, real time decisioning, text to speech and analytics in one integrated platform.
Inya.ai
Inya.ai is Gnani.ai’s no code agentic AI platform that lets teams design, deploy and manage customizable voice agents across voice, chat, WhatsApp and other channels. It is purpose built for enterprises that want production ready agentic voice AI platforms without stitching together multiple point solutions.
No Code Voice Agent Builder
A visual interface that lets product, CX and operations teams configure customizable voice agents without writing code. Typical capabilities include flow builders, prompt configuration, API connectors, testing tools and version control so that agentic voice AI platforms can be owned by business teams, not only engineering.
Conversation Orchestration
The decision layer that routes each user query to the right capability, for example an NLU intent, an LLM prompt, a backend API call or a knowledge base search. In agentic voice AI platforms this orchestration engine decides what the agent should do next in order to complete a task end to end.
Speech to Text (STT)
Technology that converts spoken audio into text in real time. High accuracy STT is critical for any agentic voice AI platform, especially in noisy environments and for Indic and global accents. Gnani.ai provides STT models tuned for Indian languages and contact center conditions.
Text to Speech (TTS)
Technology that converts text responses into natural sounding audio. Customizable voice agents rely on TTS to project a consistent brand voice, speaking style and language mix. Advanced TTS supports multiple voices, emotions, speaking rates and pronunciation controls.
Multilingual Voice AI
The capability of a platform to understand and respond in multiple languages and dialects in a single call. For Indian enterprises, agentic voice AI platforms with customizable voice agents must handle language switching, code mixing and regional accents without degradation in experience.
Small Language Model (SLM)
A compact domain tuned language model that handles high volume, structured and predictable use cases with low latency and low cost. Gnani.ai uses SLMs to power core workflows while reserving heavier LLMs for complex, open ended tasks.
Large Language Model (LLM)
A large scale model trained on broad text corpora that can generate, summarize and reason over language. In an enterprise grade agentic voice AI platform, LLMs are gated by orchestration, guardrails and retrieval so that responses stay accurate and compliant.
Intent Recognition
The process of identifying what the caller wants to achieve, for example pay EMI, reset PIN, track shipment or raise a complaint. High quality intent recognition is foundational for customizable voice agents that must route to the right workflow instantly.
Contextual Memory
The ability of a voice agent to remember what has already been said in the current conversation and sometimes across past conversations. Agentic voice AI platforms use contextual memory so the agent can skip repeated questions, follow referential phrases and act like a consistent assistant rather than a reset IVR.
Knowledge Base Integration
Connecting the agent to existing FAQs, policy documents, product catalogs and help centers. Customizable voice agents fetch answers from this knowledge base using retrieval augmented generation so that responses stay aligned with enterprise truth.
Backend Orchestration and API Calls
The capability of the agent to call core systems in real time, for example loan systems, CRMs, ticketing tools and payment gateways. This is what turns a voice bot into an agentic voice AI platform, since the agent can take actions like raising tickets, updating addresses or scheduling callbacks.
Omnichannel AI Contact Center
An environment where the same intelligent agent logic powers voice, chat, WhatsApp, email and other channels, with shared context and analytics. Gnani.ai positions its stack so that enterprises that ask where can I find agentic voice AI platforms with customizable voice agents can extend the same brain across channels.
Voice Biometrics
Authentication based on a customer’s unique voice signature. When integrated into customizable voice agents, voice biometrics reduces average handle time and improves security without relying only on OTPs and security questions.
Real Time Coaching and Agent Assist
Tools that listen to live calls and recommend prompts, next best actions and compliance reminders to human agents. While not fully autonomous, this is often the first step enterprises take before rolling out fully agentic voice AI platforms.
Quality Monitoring and Analytics
The reporting layer that tracks KPIs such as intent distribution, containment rate, average handle time, CSAT, first call resolution and revenue impact. For buyers comparing where to find agentic voice AI platforms with customizable voice agents, mature analytics is a key differentiator.
Compliance and Governance
Controls that ensure data privacy, auditability, role based access and environment separation for test and production. Enterprise ready agentic voice AI platforms provide granular governance so that CX, IT, InfoSec and compliance teams can sign off on large scale deployments.
