Fast, accurate, compliant transcription.
99%+ accurate finance transcripts in under 12 hours. Real-time streaming for market-moving events. Human verification for compliance records. One platform, every finance use case.
Transcription tech that runs 10× faster at 99%+ accuracy — powered by models trained exclusively on finance content.
Consumer speech models can't recognize EBITDA, basis points, or ticker symbols. They turn "NVDA" into "envidia" and miss every financial term that matters.
Traditional providers force you to choose: fast AI with 85% accuracy or slow human transcription at 99%. Your clients need both for time-sensitive decisions.
You can't verify accuracy claims. No confidence scores. No transparency into error patterns. You discover mistakes after clients complain.
Models trained on podcasts and YouTube videos don't understand earnings calls. They miss context, mislabel speakers, and garble critical numbers.
While you battle transcription errors, competitors deploy purpose-built technology that delivers speed and accuracy simultaneously.
Financial conversations are different — rapid-fire numbers and dense terminology where the gap between “ten basis points” and “tennis points” is catastrophic.
Ten years of finance audio, models that recognize every ticker, and architecture purpose-built for where accuracy matters most.
99%+ accurate finance transcripts in under 12 hours. Real-time streaming for market-moving events. Human verification for compliance records. One platform, every finance use case.
Our models know GAAP from non-GAAP, recognize every S&P 500 CEO, and never confuse tickers. Built by finance, for finance.
Proprietary confidence scores for every sentence. Verified speaker identification rates. Real-time error analysis. Know exactly what you're delivering to clients.
Process 1 or 1,000 concurrent streams. Our elastic architecture handles earnings season peaks without queues or quality drops.
API-first design integrates with any platform. Add new languages, customize terminology, adjust accuracy thresholds. Your needs evolve, our technology adapts.
Exclusively trained on 10+ years of financial audio.
Parallel processing with expert verification.
Sub-second latency with WebSocket delivery.
Word-level accuracy metrics and verification flags.
98%+ accuracy on multi-speaker identification.
Client-specific dictionaries and model fine-tuning.
Built for 500+ concurrent earnings calls peak load.
RESTful APIs with comprehensive documentation.
Send us your most challenging financial audio. We'll show you how our technology handles what breaks other providers.
Test our accuracyArchitecture, training-data details, confidence-scoring methodology, and benchmarks vs. generic ASR — packaged for your eval team.
Download info sheetIntegration questions, custom-model requests, or anything specific to your stack — talk directly to the engineering team that ships this.
Email tech@inflxd.com