SESTEK Speech Analytics: Conversational AI for Contact Centers
SESTEK helps organizations in sectors such as banking, insurance, and telecom automate customer interactions. It is designed for teams that need to monitor all calls for compliance or agent performance.
At a glance
- Category
- Customer Support
- Best for
- Contact center managers, Enterprise customer support teams, Banking and financial services, Telecom operators, Insurance providers
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Automating Banking Transactions, Customer Authentication, Regulatory Compliance Monitoring, Multilingual Customer Support, Agent Performance Optimization
- Official website
- www.sestek.com/
SESTEK is a conversational automation platform that uses speech recognition, text-to-speech, and natural language processing to help contact centers manage customer interactions. The company provides a suite of products under the Knovvu brand, including virtual agents and real-time agent guidance.
It is designed for enterprise operations in the banking, telecom, insurance, and e-commerce sectors. The platform is built to convert voice and text data into insights and provide automation for routine customer inquiries.
Capabilities include voice biometrics for customer authentication and automated quality management to score agent performance. The software supports a hybrid NLP and LLM architecture and can be deployed on-premise, in a public cloud, or in a private cloud.
Buyers should confirm which deployment model fits their security requirements and whether the supported languages align with their customer base.
Key Features
Converts spoken language to text with a reported accuracy rate of approximately 97-98%.
Generates voice interactions in over 40 languages.
Supports customer authorization in real time by monitoring voice parameters.
Monitors and scores customer-agent interactions to evaluate performance objectively.
Uses AI to guide customers through phone menus using natural speech.
Provides agents with information and alerts during live calls to help resolve issues.
Deploys AI-driven bots across voice, chat, SMS, and WhatsApp to handle routine inquiries.
Use Cases
Using virtual agents and conversational IVR to handle common banking inquiries without requiring a live agent.
Implementing voice biometrics to verify customer identities to help reduce call authorization duration.
Analyzing all customer conversations to help ensure agents adhere to industry regulations and scripts.
Using a virtual translator to support customers in multiple languages within a call center.
Using interaction analytics to identify bottlenecks and provide agents with objective feedback.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
It converts voice interactions into text and analyzes them to provide insights into customer intent and agent performance, supporting the monitoring of all calls.
Yes, the software supports multiple deployment options including on-premise, public cloud, and private cloud.
It is primarily designed for high-volume contact center environments in banking, insurance, telecom, retail, and BPO verticals.
Source category: Customer Support
Source subcategory: Analytics & Reporting
