Built for Financial Research Firms

Turn finance audio
into libraries
you own.

Build, scale, and monetize 99%+ accurate finance-audio transcript libraries — purpose-built for research firms.

Book a 15-min demo →See how it works
99%+
Human-perfect accuracy
<1s
Real-time latency
1B+
Finance words transcribed
The Problem

Three margin killers for financial research firms.

Every dollar leaving your P&L to a generic transcription vendor is a dollar that won't compound into IP. Here's where the leaks are.

  1. Paying third-party vendors means restricted data you can't license, resell, or feed into your own data products and research workflows.

  2. Human-only transcript teams don't scale with earnings season — every additional call multiplies cost without compounding into IP you can monetize.

  3. Generic AI misses GAAP/non-GAAP context, tickers, and analyst questions. Human-only teams can't keep pace with global earnings volume.

AUDIO FEEDVENDORVENDOR TAPVendor siphon
How it works

While others choose between speed
or accuracy, our workflow delivers both —
enabling you to build and monetize transcript
libraries at unprecedented scale.

Audio Ingestion

We enhance
before we process.

Multi-format audio is captured, language-detected, and securely piped into our pipeline.

  • Language DetectionAutomatic identification across 20+ languages, even with mid-conversation switches.
  • Multi-format SupportLive streams, conference calls, uploaded files — we handle them all.
  • Audio EnhancementNoise reduction and signal isolation before transcription begins.
  • Secure PipelineBank-grade encryption from the moment audio hits our servers.
AI Transcription

We don't just transcribe —
we understand.

Self-correcting accuracy verified against a 15,000-company database, with finance-aware metadata.

  • Self-Correcting AccuracyReal-time verification against a 15,000+ company database.
  • Finance MetadataIdentifies tickers, executives, products, and financial figures instantly.
  • Speaker AttributionNames, titles, and roles tagged automatically while staying GDPR-compliant.
  • Contextual ProcessingEBITDA isn't "a bit da" — our AI knows finance terminology.
Human Edited

Finance editorial,
not generic transcribers.

Domain-specialised editors deliver finance-perfect transcripts at scale.

  • Domain SpecializationEditors across industries matched to the content they review.
  • Multi-Pass VerificationStyle guides applied, figures validated, compliance flags raised.
  • Proprietary PlatformPurpose-built editor with shortcuts that 5× editor productivity.
  • <1% Acceptance RateWe're more selective than Harvard or Y-Combinator when vetting editors.
API-Ready Formats

Transcripts that work
how you work.

Flexible formats, rich metadata, and instant delivery into your stack.

  • Instant DeliveryIntegrate directly with your cloud storage or API endpoints.
  • Flexible FormatsJSON, SRT, VTT, plain text, or any custom format you need.
  • Multiple Accuracy TiersChoose real-time at 95%+ through to human-perfect at 99%+.
  • Rich MetadataEvery transcript includes timestamps, companies, products, topic tags, speakers, and more.
Why INFLXD

Built for financial research firms, not generic transcription.

Resell. License. Build.

Full IP transfer, no restrictions. The transcripts are yours the moment they're produced — no licensing back, no rev-share, no fine print.

GAAP, non-GAAP, caught.

Multi-speaker earnings calls handled cleanly. Tuned to 15K+ companies, tickers, and the sector terms generic AI misses.

Native in 20+ languages.

English, Japanese, Mandarin, Spanish, Portuguese, and 15+ others — with the same accuracy guarantees. Cross-language search inside your library.

Built for your stack.

JSON, SRT, custom formats. Rich metadata including speaker IDs, confidence scores, timestamps, and verified entity links.

These [INFLXD's] results reinforce the benefits of AI in combination with human oversight. When AI is combined with structured human review, it offers speed and delivery that institutions can trust.
Ken SenaCEO and co-founder, Aiera
Last step

15 minutes is all it takes.

A walkthrough on your own data. No deck. No pre-call form. We show you what your library would look like inside INFLXD.

Book a demo →