TekVision Reviews & Product Details

Wayfound is the Agentic Success Platform. We go beyond basic dashboards, offering comprehensive AI agent supervision and intuitive supervision tools, covering any and all AI agents in your organization. Gain immediate access to agent behavior scorecards, detailed transcripts, and real-time insights into what your agents are doing — and why — so you can optimize their performance to meet your goals.

Evalgent is an AI-powered voice agent evaluation platform designed to test, monitor, and improve conversational AI systems before and after deployment. Key features: - Scenario-based testing to validate end-to-end workflows - User behaviour-based stress testing (interruptions, accents, speech pace, etc.) - Evidence-based evaluations with actionable recommendations - Custom metrics to benchmark agent performance - Human-in-the-loop review for nuanced quality validation How it works? 1. Define: Create real-world scenarios and define clear success criteria 2. Run: Test them across diverse and unpredictable user behaviors 3. Measure: Understand successes, failures, and performance boundaries 4. Act: Identify what to fix, optimize, or scale with confidence Evalgent is for AI teams, product teams, and enterprises building voice agents for customer support, sales, and operations. Don’t ship agents that only work in demos. Test real-world reliability with Evalgent.

Bespoken.ai offers a comprehensive Model Testing solution designed to validate and ensure the accuracy, functionality, and safety of Automatic Speech Recognition (ASR), Large Language Models (LLMs), and Natural Language Understanding (NLU) models. This service assists companies in integrating LLM-based chat and voice bots, providing confidence that their applications deliver correct information and protect users from misleading or harmful responses. Key Features and Functionality: - Automated Test Case Generation: Bespoken.ai automatically generates test cases to streamline the validation process. - Four-Stage Validation Pipeline: 1. Entity-Based Validation: Ensures the model accurately identifies and responds to entities like people, places, and objects. 2. Rules-Based Validation: Verifies the model adheres to predefined rules and guidelines. 3. LLM-Based Validation: Utilizes large language models to test and identify potential issues within the application. 4. Manual Validation: Involves human reviewers to confirm all tests are passed and to detect any additional problems. - Continuous Monitoring: Employs LLMs to repeatedly query and verify applications during development and post-deployment phases. - Detection of Hallucinations: Identifies and alerts users to incorrect or misleading responses generated by the model. Primary Value and Problem Solved: Bespoken.ai's Model Testing solution addresses the critical need for reliable and safe LLM implementations in chat and voice bots. By providing a thorough validation pipeline and continuous monitoring, it ensures that applications function correctly, deliver accurate information, and safeguard users from potential risks associated with incorrect or harmful responses. This comprehensive approach allows companies to confidently deploy LLM-based solutions, enhancing customer trust and satisfaction.