Finance-native AIbuilt for precision.

Transcription tech that runs 10× faster at 99%+ accuracy — powered by models trained exclusively on finance content.

1B+
Finance-specific words in training data
10x
Faster processing than general ASR
98%+
Speaker identification accuracy
50+
Languages with finance terminology

Five reasons generic transcription breaks on finance.

  1. Consumer speech models can't recognize EBITDA, basis points, or ticker symbols. They turn "NVDA" into "envidia" and miss every financial term that matters.

  2. 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.

  3. You can't verify accuracy claims. No confidence scores. No transparency into error patterns. You discover mistakes after clients complain.

  4. Models trained on podcasts and YouTube videos don't understand earnings calls. They miss context, mislabel speakers, and garble critical numbers.

  5. While you battle transcription errors, competitors deploy purpose-built technology that delivers speed and accuracy simultaneously.

The INFLXD advantage.

Financial conversations are different — rapid-fire numbers and dense terminology where the gap between “ten basis points” and “tennis points” is catastrophic.

  • Capability 01

    Proprietary finance-native AI models

  • Capability 02

    Human-AI hybrid architecture

  • Capability 03

    Real-time processing

  • Capability 04

    Transparent confidence scoring

Our approach

Ten years of finance audio, models that recognize every ticker, and architecture purpose-built for where accuracy matters most.

What deploying INFLXD actually changes.

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.

02

Finance-native understanding.

Our models know GAAP from non-GAAP, recognize every S&P 500 CEO, and never confuse tickers. Built by finance, for finance.

03

Transparent accuracy assurance.

Proprietary confidence scores for every sentence. Verified speaker identification rates. Real-time error analysis. Know exactly what you're delivering to clients.

04

Scale without infrastructure.

Process 1 or 1,000 concurrent streams. Our elastic architecture handles earnings season peaks without queues or quality drops.

05

Future-proof flexibility.

API-first design integrates with any platform. Add new languages, customize terminology, adjust accuracy thresholds. Your needs evolve, our technology adapts.

Technology built for finance deliversmeasurably morethan adapted consumer solutions —every metric, every workflow.

Book a demo

Eight things that make the stack.

01

Proprietary AI Models

Exclusively trained on 10+ years of financial audio.

02

Human-AI Hybrid

Parallel processing with expert verification.

03

Real-Time Streaming

Sub-second latency with WebSocket delivery.

04

Confidence Scoring

Word-level accuracy metrics and verification flags.

05

Speaker Diarization

98%+ accuracy on multi-speaker identification.

06

Custom Terminology

Client-specific dictionaries and model fine-tuning.

07

Elastic Infrastructure

Built for 500+ concurrent earnings calls peak load.

08

API-First Design

RESTful APIs with comprehensive documentation.

Three ways to see it in action.

See our accuracy in action.

Send us your most challenging financial audio. We'll show you how our technology handles what breaks other providers.

Test our accuracy

Download the info sheet.

Architecture, training-data details, confidence-scoring methodology, and benchmarks vs. generic ASR — packaged for your eval team.

Download info sheet

Email our technical team.

Integration questions, custom-model requests, or anything specific to your stack — talk directly to the engineering team that ships this.

Email tech@inflxd.com

Ready to deploy finance-native transcription technology?

Book a demo