Enterprise-grade Voice AI with real-time transcription, comprehension, and action. Built for speed, accuracy, and control.
Most speech-to-text solutions weren’t built for real-time, high-volume voice workflows. They miss words, misidentify speakers, and struggle under pressure, hurting CX, bloating costs, and slowing support.
Generic Speech to Text models miss context, fail in noisy environments, and can’t adapt to domain-specific terms, resulting in broken workflows and frustrated customers.
Slow transcription delays voicebots and human agents. Every lag hurts resolution time and customer satisfaction.
Rigid APIs, limited tuning, and weak concurrency support make it hard to scale cost-effectively or deploy on your terms.
From real-time streaming to language-aware transcription, Fireworks delivers the building blocks for production-grade audio understanding across use cases.
Streaming and pre-recorded audio SKUs for real-time or batch transcription
Diarization and preprocessing to separate speakers and clean audio for accuracy
Multi-language support and translation to serve global teams
Use advanced models like Whisper and Whisper Turbo for best-in-class accuracy and performance
Accelerate customer resolution with real-time, low-latency transcription for faster agent response and automation
Boost accuracy across environments with advanced preprocessing, diarization, and multi-language support
Power voice workflow automation with clean, context-rich transcripts for routing, summaries, and insights
Scale seamlessly to millions of calls with GPU autoscaling and high-concurrency infrastructure
Reduce costs and meet enterprise standards with optimized inference, 4X lower pricing, and secure, compliant deployments
A leading fast food chain improved drive-thru service with Fireworks, achieving 4X faster transcription, higher accuracy, and 4X lower cost. Live in 100+ stores, scaling to 6,000+ by 2026.
From building smart code assistants to scaling inference and reducing time-to-market, Fireworks helps every team ship faster with full control.
