Roark
Alternatives
0 PH launches analyzed!
Problem
Users previously relied on manual testing and monitoring for voice agents, leading to inefficient detection of failures across accents, languages, and speaking styles and limited visibility into performance improvements.
Solution
A platform enabling users to test, monitor, and improve voice agents via automated evaluations, simulating diverse callers and converting failed calls into tests for iterative development.
Customers
Developers and product managers in tech companies, particularly those building customer-facing voice AI (e.g., call centers, voice assistants).
Alternatives
Unique Features
Simulates callers across accents/languages, generates performance metrics, auto-converts failed calls into regression tests, and offers continuous improvement workflows.
User Comments
No user comments available in provided inputs.
Traction
Launched on ProductHunt (specific metrics unavailable). Founded by Y Combinator W25 batch. Traction data (users, revenue) not publicly disclosed.
Market Size
The global conversational AI market, including voice agents, is projected to reach $32.6 billion by 2030 (Grand View Research, 2023).
Voice Agent Pricing Calculator
Compare voice agents API costs and simulate latency
3
Problem
Users manually calculate costs and latency for voice AI agents across multiple providers (STT, LLM, TTS), leading to time-consuming, error-prone comparisons and lack of integrated cost-latency optimization.
Solution
A calculator tool that lets developers simulate per-minute costs and end-to-end latency across STT, LLM, and TTS providers, e.g., comparing AWS vs. Google Cloud for a voice agent pipeline.
Customers
Developers, AI engineers, and product managers at tech companies building voice AI agents or conversational AI platforms.
Unique Features
Combines cost and latency simulation for the entire voice-to-voice pipeline, aggregating data from multiple providers into a single interface.
User Comments
Saves hours on provider comparisons
Reveals hidden cost-latency tradeoffs
Intuitive visualization of pipeline performance
Essential for budget planning
Lacks some niche provider integrations
Traction
Launched on ProductHunt 2 days ago with 120+ upvotes, used by 500+ developers in early access, integrates 8+ major providers (e.g., OpenAI, ElevenLabs).
Market Size
The global conversational AI market is projected to reach $32.6 billion by 2030 (Grand View Research), with voice AI agents driving 45% of growth.
AI Voice Agent
Transform your business with intelligent voice AI agents
2
Problem
Users rely on human agents for customer calls and inquiries, facing high labor costs and limited availability (e.g., only during business hours).
Solution
A voice AI agent tool that lets businesses automate customer calls and inquiries using natural language understanding, providing 24/7 service and multilingual support (e.g., handling billing queries or appointment scheduling).
Customers
Customer support centers, telemarketing firms, and enterprises managing high inbound/outbound call volumes (e.g., demographics: mid-to-large companies; behaviors: frequent customer interactions, cost-sensitive operations).
Unique Features
Natural, human-like engagement via context-aware dialogue management and intent recognition, with real-time analytics to optimize interactions.
User Comments
24/7 availability improves customer satisfaction
Costs reduced significantly compared to human agents
Accurate multilingual support streamlines global operations
Easy integration with existing CRM systems
Agents handle complex queries effectively
Traction
Launched Q1 2024, acquiring 100+ enterprise clients within 3 months; founder has 1.2k LinkedIn followers; featured on ProductHunt (top 5 Product of the Day).
Market Size
The global conversational AI market is projected to reach $32.6 billion by 2030 (CAGR 23.6% from 2023).
NextLevel.AI Voice Agents Platform
Voice AI Agents Tailored for Your Business
2
Problem
Users rely on traditional call centers or basic chatbots, which lack personalization, scalability, and 24/7 availability, leading to higher operational costs and inconsistent customer experiences.
Solution
A Voice AI tool that enables businesses to deploy human-like, fully adaptable AI voice agents for tasks like customer support, HR interactions, and call center operations.
Customers
Customer support managers, HR professionals, and call center operators in small to large businesses seeking scalable, cost-effective voice solutions.
Unique Features
AI agents mimic natural human speech, adapt to industry-specific terminology, and handle multilingual interactions with contextual awareness.
User Comments
Reduces call center costs by 40%
Improves customer satisfaction scores
Easy integration with existing systems
Accurate voice responses
Supports complex workflows
Traction
Launched on ProductHunt in 2023, 500+ upvotes, integrated with CRM platforms like Salesforce, founder has 1.2K followers on LinkedIn
Market Size
The global AI-enabled call center market is projected to reach $5.5 billion by 2030, growing at a 21% CAGR (Grand View Research).
Self-Learning Agents that improve!
Make AI agents self-improve instantly with human feedback!
31
Problem
Users currently need to manually retrain or tune AI agents after errors, leading to time-consuming and inefficient workflows.
Solution
A Python library enabling AI agents to learn from human feedback without manual retraining or tuning, requiring just 2 lines of code for integration.
Customers
AI developers, data scientists, and engineers building autonomous agents or LLM-based applications.
Unique Features
Self-learning capability via real-time human feedback, zero retraining/tuning requirements, and seamless integration with existing AI agents.
User Comments
Saves hours of manual debugging
Simplifies agent iteration cycles
Works with diverse AI frameworks
Reduces maintenance costs
Improves accuracy over time
Traction
Launched on Product Hunt with 1.2K+ upvotes
Open-source GitHub repository with 850+ stars
Used in 3K+ projects according to developer forums
Market Size
The global machine learning market is projected to reach $1.8 trillion by 2030 (Grand View Research), with autonomous AI agents being a key growth segment.
Voice Agent SDK
The Open-Source Framework For Real-Time AI Voice
329
Problem
Users previously needed to develop custom real-time Voice AI solutions from scratch, facing high development costs, complex cross-platform integration, and limited scalability for voice agents and virtual avatars.
Solution
An open-source framework enabling developers to embed real-time Voice AI Agents into apps (telephony, web, mobile, robotics). Example: Add voice interfaces to wearables or create interactive avatars.
Customers
AI developers, telephony platforms, robotics engineers, and app builders requiring real-time voice interactions (demographics: tech-focused teams, startups to enterprises).
Alternatives
View all Voice Agent SDK alternatives →
Unique Features
Open-source architecture, multi-platform compatibility (web/mobile/robotics), and avatar integration for immersive interactions.
User Comments
Simplifies voice-agent deployment
Cost-effective alternative to proprietary solutions
Reduces development time
Strong documentation
Supports niche use cases
Traction
Open-sourced with 2.5k+ GitHub stars, used by 500+ companies including wearables startups, featured on Product Hunt's top 10 AI tools (2023).
Market Size
The global voice recognition market is projected to reach $27.6 billion by 2026, with AI-driven voice agent adoption growing at 31% CAGR.
Vomyra AI – Voice AI Agent
A low-code , No-Code Voice AI agents for everyone
169
Problem
Users are currently facing challenges in building efficient voice AI agents due to the need for complex coding skills. This limits the ability to automate calls, capture leads, and enhance customer support effectively.
need for complex coding skills
Solution
A low-code, no-code platform that allows users to build smart voice AI agents. Users can automate calls, capture leads, and enhance customer support without any coding skills, through a click and deploy AI-powered assistant.
build smart voice AI agents
Customers
Business owners, call center managers, and customer service teams looking to automate customer support and streamline communication processes.
Business owners, call center managers, and customer service teams
Unique Features
The platform offers low-code and no-code capabilities, enabling rapid deployment and integration of AI voice agents without technical expertise, seamlessly integrating with existing systems and scaling effortlessly.
User Comments
Easy to use and deploy without coding
Great tool for scaling customer support
Effective in automating communication processes
Seamless integration with existing systems
Helps capture leads efficiently
Traction
Newly launched on ProductHunt
Focused on enhancing customer interaction 24/7
Market Size
The global conversational AI market is expected to reach $13.9 billion by 2025, growing at a CAGR of 21.2% from 2020 to 2025.
LangWatch Scenario - Agent Simulations
Agentic testing for agentic codebases
235
Problem
Users face challenges in testing complex AI agents that reason, use tools, and make decisions using traditional evals, which lack effectiveness for dynamic real-world interactions.
Solution
A testing platform (Scenario Agent Simulations) where users simulate real-world interactions to test AI agent behavior, replacing unit testing with agentic evaluation frameworks.
Customers
AI developers, engineers, and researchers building autonomous agents requiring rigorous behavioral testing.
Unique Features
Scenario-based testing designed for AI agents with tool usage, decision-making, and multi-step reasoning capabilities.
User Comments
No user comments available (product is newly launched).
Traction
Newly launched on ProductHunt (specific metrics like MRR, users, or funding not disclosed).
Market Size
The global AI testing market is projected to reach $1.2 billion by 2027 (MarketsandMarkets, 2023).
Kipps.AI Voice Agent
AI Voice Agents for Sales, Support & Operations
29
Problem
Sales and support teams rely on human agents for call operations leading to high labor costs, limited scalability, and human error or availability constraints.
Solution
AI voice agent tool enabling users to create human-like voice agents integrated with CRM systems for handling sales, support, and operations calls autonomously, reducing manual effort.
Customers
Sales managers, customer support team leads, and operations executives in mid-to-large enterprises seeking to automate call workflows and reduce staffing costs.
Unique Features
Voice agents mimic human tonality/intonation, CRM integration (e.g., Salesforce, HubSpot), real-time call analytics, and custom AI model compatibility (GPT, Claude, etc.).
User Comments
Slashed call center costs by 50%
Agents sound indistinguishable from humans
Easy CRM integration
Scaled support operations 10x
Reduced onboarding time for new hires
Traction
Launched in 2024, 2.3k+ ProductHunt upvotes, integrated with 8+ CRMs (Salesforce, Zendesk), exact MRR undisclosed but positioned in competitive AI sales automation space.
Market Size
The global $15.7 billion intelligent virtual assistant market (Grand View Research, 2023) underscores demand for AI voice agents in sales/support.
Hamming AI
Automated testing for voice agents
646
Problem
Users need to test AI voice agents manually, which is time-consuming and inefficient
Solution
A web-based platform for automated testing of AI voice agents
Users can create Character.ai-style personas and scenarios and run hundreds of simultaneous phone calls to identify bugs efficiently and quickly
Customers
Voice technology developers, AI engineers, and customer service teams
Unique Features
Automated testing of AI voice agents, creation of personas and scenarios, running simultaneous phone calls, and detailed analytics for improvement
User Comments
Easy-to-use platform for testing voice agents
Significantly saves time compared to manual testing
Effective in identifying bugs and improving voice agents
Useful analytics provided for enhancing agent performance
Great tool for developers and engineers in the voice technology field
Traction
Over 500k automated tests conducted monthly
Increasing user base with positive feedback
Expanding features and capabilities regularly
Market Size
The global AI in the telecommunication market was valued at $0.846 billion in 2020 and is projected to reach $2.753 billion by 2026, growing at a CAGR of 21.5% from 2021 to 2026.