Build applications that can see, hear, and speak with an end-to-end developer platform for voice, video, and physical AI
Est 2021|Valuation $1B|Raised $181.3M
Build applications that can see, hear, and speak with an end-to-end developer platform for voice, video, and physical AI
Published Oct 3, 2026
Press coverage in recent years indicates strong market interest in real-time communication infrastructure and voice agent use cases. Vendor-reported metrics (for example, developer-team counts) were not independently verified in the sources reviewed.
| Typical use case | Developer teams seeking an open-source SFU with the option of a managed global edge network; applicable to agent-oriented and low-latency voice use cases | Large-scale RTC platform with a broad extension and add-on catalog | Teams using the Twilio ecosystem and programmable communications products |
| Starting price (public) | Cloud plans: Build (free), Ship (entry paid tier), Scale (higher paid tier), Enterprise custom; plus usage-based charges | Usage-based pricing with published tiers and resolution-based pricing for video/audio | Publicly listed per-participant or room billing models with additional fees for add-ons like recordings and transcription (verify current pricing and availability) |
| Strengths | Open-source core with a managed cloud option; SFU-focused feature set; SIP/ingress tooling | Granular published pricing and a broad add-on ecosystem (analytics, STT, etc.) | Integration with Twilio communications products; standard usage billing model |
| Weaknesses | Less extensive independent review coverage in public platforms; integration can require WebRTC expertise; cost predictability depends on rounding and bandwidth patterns | Complexity and potential cost increases when many add-ons are used | Roadmap and product focus should be verified for long-term fit; product availability can change |
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Pricing comparison caveats: prices and billing units differ by vendor (per participant-minute, per 1000 participant-minutes, plan minimums, and rounding rules). Organizations must translate their expected usage profile into each vendor's billing model to compare total costs accurately.