Overview
PandaProbe Cloud is a fully managed platform for tracing, evaluating, and monitoring AI agents. It eliminates infrastructure management by providing hosted trace ingestion, eval LLM, embedding models, auto-scaling, SSO, and continuous monitoring. It’s designed for engineering teams who want to ship better agents without the ops overhead.
Hush is an open-source noise suppression model developed by weya AI. It removes background noise, competing voices, and audio interference from real-time calls, turning chaotic phone audio into clean, ASR-ready speech. It’s built for voice AI developers who need reliable audio preprocessing to improve bot and agent performance.
Feature Comparison
| Feature | PandaProbe Cloud | Hush |
|---|---|---|
| Primary Function | Full-stack tracing, evals, and monitoring for AI agents | Real-time noise suppression and speech enhancement for voice AI calls |
| Target Users | Agent engineering teams | Voice AI developers, call centers, BFSI teams |
| Deployment Model | Managed cloud (SaaS) with optional hybrid/self-hosted for Enterprise | Open-source model deployable in your own cloud or data center |
| Setup Time | Minutes | Minutes (integrate via API or deploy model) |
| Infrastructure Management | Zero infrastructure to manage (fully managed) | Self-managed (you deploy the model) |
| Eval LLM / Embedding | Managed eval LLM and embedding models included | Not applicable (focuses on audio preprocessing) |
| Auto-Scaling | Yes, handles traffic spikes automatically | Depends on your deployment (scalable via cloud infrastructure) |
| SSO & Permissions | Role-based access control and SSO included | Not applicable (model-level, no user management) |
| Monitoring & Scheduling | Built-in eval scheduler for daily/hourly/custom runs | Not applicable (real-time audio processing) |
| SLA & Support | Dedicated support and SLA for paid plans | Community support (open-source); pilot program available |
| Real-time Processing | Not applicable (post-hoc tracing and evals) | Yes, processes 10ms audio frames in under 1ms on CPU |
| Model Size | Not applicable (cloud service) | Approximately 8 MB |
| Open Source | No (proprietary cloud service) | Yes, open-source model |
Pricing
PandaProbe Cloud offers a tiered pricing model:
- Hobby: $0 forever, includes 100 base traces/mo, 100 trace eval runs/mo, 10 session eval runs/mo, human annotation, 1 seat, community support.
- Pro: $29/month, includes 5k base traces/mo, 5k trace eval runs/mo, 100 session eval runs/mo, 2 seats, email support, pay-as-you-go overages.
- Startup: $299/month, includes 50k base traces/mo, 50k trace eval runs/mo, 1k session eval runs/mo, 10 seats, high rate limits, private Slack channel, data retention management.
- Enterprise: Custom pricing, includes alternative hosting options (hybrid & self-hosted), custom SSO, dedicated engineering team, support SLA, team trainings, unlimited seats, dedicated support.
Hush is open-source and free to use. There is no pricing for the model itself. weya AI offers a 2-week pilot program where they implement Hush in one workflow, measure the impact, and show lift before full rollout. This pilot is likely free or custom-priced.
Pros and Cons
PandaProbe Cloud
Pros:
- Zero infrastructure management – fully managed cloud service
- Built-in eval LLM and embedding models, no external API keys needed
- Auto-scaling handles traffic spikes and growing teams
- SSO and role-based access control for enterprise security
- Dedicated support and SLA guarantees on paid plans
Cons:
- Not open-source; proprietary cloud service
- Pricing can become expensive at scale (pay-as-you-go overages)
- Limited to agent tracing and evals – no audio processing capabilities
Hush
Pros:
- Open-source and free to use, deployable anywhere
- Extremely low latency (0.9ms per 10ms frame on CPU)
- Small model size (8 MB) easy to integrate
- Specifically designed for noisy call environments
- Improves ASR accuracy by cleaning audio at the source
Cons:
- Self-managed deployment requires infrastructure and maintenance
- No built-in monitoring, scheduling, or user management features
- Limited to audio preprocessing – no agent tracing or evaluation capabilities
- Community support only (no dedicated SLA unless through pilot)
Verdict
PandaProbe Cloud and Hush serve entirely different stages of the AI agent pipeline. PandaProbe Cloud is ideal for teams that need a fully managed solution for tracing, evaluating, and monitoring their agents without operational overhead. Hush is perfect for voice AI developers who need a lightweight, open-source noise suppression model to clean up real-time call audio and improve ASR accuracy. Choose PandaProbe if your focus is on agent performance and reliability; choose Hush if your primary challenge is noisy audio in voice calls.
Hush
PandaProbe Cloud