Capture Every Interaction - Transcribe 100% of live and recorded customer calls with ease.
Over 90% Accuracy - Vatis Tech’s ASR engine delivers reliable transcripts even in noisy environments, cross-talk, dialects, and accents.
Improve customer interactions with AI-driven agent support.
Real-time transcription and sentiment analysis provide insights,suggested responses, and dynamic scripting.
Gain insights from every customer interaction with real-time and post-call analytics.
Advanced audio intelligence detects sentiment, topics, intents, and generates actionable KPIs.
Detect positive, negative, and neutral customer sentiment as well as emotional states like satisfaction, frustration or agitation.
Capture voice-of-customer feedback and pinpoint conversation highlights.
Adapt Vatis Tech’s Speech Recognition to Your Industry.
Customize vocabulary, language models, and speech patterns to match your specific workflows.
Improve transcription accuracy across contact center calls, customer service interactions, and compliance monitoring.
Accelerate your product development with embedded AI.
Users can enjoy the full benefits of your application from day one.
Our system supports unlimited transcription concurrency, so you can handle high-volume projects without bottlenecks - scaling seamlessly as your needs grow.
Choose the deployment option that best fits your needs - on-premises, cloud, or hybrid.
Get flexible deployment options designed to meet your data security requirements
Connect Live Audio
Securely stream audio from your telephony environment to the Vatis Tech speech platform through APIs or pre-built integrations.
Transcribe with Advanced STT Models
Convert multi-speaker conversations into accurate, timestamped transcripts with our advanced speech-to-text engine.
Analyze and Optimize
Unlock insights with AI: detect sentiment, flag key topics, and generate performance reports to boost CX, compliance, and agent productivity.
Dan Mazilu
General Manager Mediatel Data
Our automatic speech recognition technology ensures a high-level of accuracy for all speakers, converting written numbers into digits.
It recognizes entities, such as individual and company names, dates, and locations within your audio files.
Speaker 1
Thank you so much, Mr. Fairbase. Can you please provide your national insurance number?
Speaker 2
National insurance number is 369-4456.
Speaker 1
Wonderful. Also, Mr. Fairbase, can I please have your date of birth?
Speaker 2
My date of birth is 9-26-1995.
Speaker 1
Thank you, George Washington. What is your date of birth?
Speaker 2
It is July 1st, 1968.
Speaker 1
Thank you very much. And can you confirm the address that we have for you here in the system?
Speaker 2
The address is 2898 Atwood Terrace, Columbus, Ohio, 432-24
Speaker 1
All right. We can have your Wi-Fi installed by April 25th.
Speaker 2
Let me see. April the 25th. I believe that's a Monday. You know what? I am working that day, Monday. Do you have... I am off on the 27th. If you can have a technician come out.
Speaker 1
Let's see. 27th. Yeah, I can definitely schedule an appointment for that day. Did you have a preferred time on the 27th you wanted us to come in.
Speaker 2
Yeah. How about in the morning, 9 o 'clock?
Speaker 1
9 o' clock, perfect. So your appointment is set and there is a two-hour window.
Gain clear, actionable insights with our AI-powered speech analytics - built on real contact center data and advanced speech recognition technology.
Reduce after-call workloads through automated transcription, summarization, and documentation - allowing agents to handle more interactions.
Route customers to the right agent for for tailored support. Integrated with your IVR, our system identifies needs and directs callers to the best-suited agent for faster resolutions.
Ensure high-quality service with AI-powered analysis of live and recorded calls. Our system checks for script adherence, compliance, and consistency, reducing manual reviews.
Reduce your infrastructure costs with our AI technology, optimized to deliver exceptional performance on less hardware without compromising quality.
At Vatis Tech, we understand the operational demands of modern contact centers. That’s why we deliver:
🧩 Tailored speech recognition with real-time support for accurate transcriptions
🧩 Robust security to keep customer data safe and compliant
🧩 AI-powered tools that drive efficiency, boost CX, and support compliance goals
Can’t find the answer you're looking for? Reach out to our Support team.
Speech analytics is the process of analyzing voice recordings to extract insights. It identifies patterns, emotions, keywords, and sentiments in customer service calls.
Speech analytics is used to gain customer insights, improve service quality, ensure compliance, enhance employee training, identify trends, resolve issues quickly, and support data-driven business decisions. By analyzing how and what customers are saying, businesses can make informed decisions to improve their products, services, and customer interactions.
Speech analytics is significantly more effective than traditional call center monitoring. Here's why:
Customer Insights: Understand customer needs, pain points, and sentiment by analyzing voice data at scale.
Quality Monitoring: Track agent performance more accurately than with manual reviews.
Operational Efficiency: Automate call analysis to save time and accelerate issue resolution.
Data-Driven Decisions: Leverage large datasets to inform strategy and improve outcomes.
Regulatory Compliance: Detect non-compliant behavior and ensure policy adherence.
Training & Coaching: Use insights to personalize agent coaching and boost performance.
Trend Detection: Spot recurring issues early and act proactively to improve CX.
Traditional call monitoring - like random call sampling or post-call surveys—is labor-intensive and limited in scope. In contrast, modern speech analytics delivers real-time, comprehensive insights to enhance contact center performance.
No, Natural Language Processing (NLP) and Speech Analytics are not the same, although they are related fields. NLP(Natural Language Processing) is an AI field focused on enabling computers to understand human language, while speech analytics is an application of NLP that analyzes spoken language, particularly in business settings, for insights and trends.
No, NLP (Natural Language Processing) and Speech Recognition are not the same. NLP deals with understanding and interpreting human language by computers, while speech recognition focuses specifically on converting spoken words into text.