Palabra offers a low‑latency AI speech translation engine that delivers sub‑second speech‑to‑speech and speech‑to‑text conversion in over 60 languages using an integrated ASR, neural machine translation, and neural TTS pipeline. The service provides deep customization through APIs and SDKs—including custom glossaries, voice cloning, and on‑premises deployment with end‑to‑end encryption—and integrates with major video‑conferencing and streaming platforms for real‑time multilingual communication.
Funding
$8.4M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Live multilingual communication in virtual events, video conferences, and streaming often suffers from high latency, limited language support, and inadequate customization, which hampers real‑time interaction and reduces accessibility for global audiences.
Solution
Palabra delivers a proprietary, low‑latency AI speech translation engine that processes audio through an integrated pipeline of automatic speech recognition (ASR), neural machine translation, and neural text‑to‑speech (TTS). The platform runs on Palabra’s own large language model, giving full control over quality and allowing sub‑second end‑to‑end latency for both speech‑to‑speech and speech‑to‑text use cases. Developers can tailor the service via deep‑customizable APIs and SDKs, adding business‑specific glossaries, voice cloning, and region‑specific language packs. Deployments can be hosted on private servers or on‑premises to meet strict data‑privacy requirements, while all streams are encrypted and never persisted. The solution integrates with major conferencing tools, streaming protocols (SRT, RTMP) and broadcast software, enabling seamless multilingual experiences across events, call centers, and live‑stream platforms.
Target Audience
Primary customers are enterprise event producers, global contact‑center operators, multinational corporations with distributed teams, and streaming platforms that require real‑time multilingual audio or caption delivery.
Features
- End‑to‑end pipeline (ASR → neural MT → neural TTS) built on a proprietary LLM for consistent quality across 60+ languages
- Sub‑second latency (< 1 s) for simultaneous two‑way speech translation and real‑time captioning
- Deep customization via API/SDK: custom glossaries, voice cloning, speaker diarization (in‑road), and emotion transfer (planned)
- Deployable on private cloud or on‑premises infrastructure to guarantee ultra‑low latency and data sovereignty
- Enterprise‑grade security: TLS encryption, zero data retention, and role‑based access controls
- Compatibility with major conferencing platforms (Zoom, Teams, Google Meet) and streaming stacks (OBS, vMix, SRT, RTMP) via no‑code connectors
- Scalable licensing model supporting high‑volume event streams and contact‑center workloads