Leading Voice AI Development Company
SoftUs Infotech is a specialist voice AI development company building real-time voice agents, conversational AI systems, and intelligent call automation for startups. We combine state-of-the-art TTS (text-to-speech), STT (speech-to-text), and LLMs to create voice AI experiences that engage naturally, handle complex conversations, and scale to millions of calls.
10+
Voice AI Systems Built
< 300ms
Response Latency
40+
Languages Supported
4.9/5
Client Rating
Real-Time Voice Agents That Sound and Think Like Humans
Why choose SoftUs Infotech
Trusted by 45+ startups across 25+ countries. Here is what sets us apart.
Real-Time Voice AI Agents
Sub-300ms latency voice agents that can handle inbound and outbound calls — answering questions, collecting information, qualifying leads, and escalating to humans when needed.
Natural-Sounding TTS & Voice Cloning
Using ElevenLabs, PlayHT, and custom neural TTS models to create voices that are indistinguishable from human speech — including custom branded voices and voice cloning.
Multilingual Voice AI
Support for 40+ languages with native-quality speech recognition and synthesis — including regional accents and code-switching for bilingual conversations.
Call Center Automation
Replace or augment traditional IVR with intelligent voice agents that understand natural language, handle complex queries, and provide personalized responses — 24/7, without wait times.
Voice AI Integration
We integrate voice AI into existing telephony (Twilio, Vonage, AWS Connect), web apps, mobile apps, and smart devices — working within your current infrastructure.
How we work
A predictable rhythm. Discovery is a real conversation, not a sales call.
01
Discovery Call
30-min session to scope your use case
02
Sprint Planning
Define milestones, team, and timeline
03
Build & Iterate
2-week sprints with live demos
04
Ship & Support
Deploy to production with monitoring
Questions buyers ask
Honest answers, kept short. If you need depth on one of these, book a call and we will go deeper than any FAQ allows.
- 01
What's the difference between a voice bot and a voice AI agent?
Traditional voice bots follow rigid scripts and menu trees. Voice AI agents understand natural language, handle interruptions, remember context, and adapt to unexpected inputs — delivering a conversational experience that feels human.
- 02
How low is the latency in your voice AI systems?
We optimize for sub-300ms end-to-end latency (from user speech to AI response) using streaming STT, parallel processing, and edge deployment. This is fast enough that conversations feel natural.
- 03
Can voice AI handle complex or emotional conversations?
With the right design, yes. We build sentiment detection, empathy responses, escalation triggers, and human handoff protocols into voice AI systems that handle sensitive conversations like healthcare intake or customer complaints.
- 04
How do you handle different accents and speech patterns?
We use robust STT models (Deepgram, Whisper, AssemblyAI) that handle diverse accents well, combined with fine-tuning on your specific user base's speech patterns when needed.
Full-spectrum AI development. Pick a track to read how we scope, staff, and ship inside it.
Related AI topics
Browse more pages around AI delivery, industries, team augmentation, and product-focused implementation.
Ready to build with the best
Book a free 30-minute consultation. We will scope your project, give you an honest timeline, and show you exactly how we will deliver.
Have an AI idea, messy workflow, or product vision? Let's make it buildable.
Bring the problem. We'll help shape the product, define the architecture, and show the fastest path to a serious first version.
A practical first roadmap in the discovery call
Architecture, timeline, and delivery options in plain English
Security, scalability, and reliability discussed upfront
Model registry
softus-rag-v4.2
187ms
Latency
128k
Context
$0.004
Cost / req
Evaluation suite
Deploy pipeline
prod / canary 25% — healthy