First Draft
Finance-fluenthuman review atenterprise scale.
Client-ready transcripts with human-verified accuracy in hours, not days. Our finance editorial team ensures every company name, figure, and speaker attribution is perfect.
6–12h
Turnaround
98%+
Accuracy
<1%
Editor acceptance
See First Draft in production.
Human editing...
1 editor
David Reyes·CEO, Helix Robotics
We’re reaffirming full-year guidance, with revenue
landing between $640M and $710M, driven
by stronger uptake across our automation
segment and the Series C deployments.
Editor
M
Maya Singh
14:22 · 1 edit
Note
Ticker corrected — confirmed against IR deck.
Human-verified transcription with finance-fluent editors.
01
Human-verified transcription by finance-fluent editors
02
6–12 hour turnaround at enterprise scale
03
98%+ accuracy with financial figure validation
04
Complete speaker identification with titles and roles
05
NER verification for companies, products, executives
Breakthrough capability
The only transcription service combining proprietary AI tech with a finance-native editorial team to create compliance-ready transcripts in hours.
How it worksAI foundation. Human polish.
AI foundation. Human polish.
6 to 12 hours.
Five stages combining proprietary AI tech with finance-native editorial review — the AI foundation plus four points of human verification on every transcript.
Stage 01 / 05
AI Foundation.
Initial transcript created with 96%+ base accuracy.
- Stage 01 / 05
AI Foundation.
Initial transcript created with 96%+ base accuracy.
- Stage 02 / 05
Human Review.
Finance editor verifies all critical elements.
- Stage 03 / 05
NER Verification.
Companies, executives, products confirmed.
- Stage 04 / 05
Speaker Attribution.
Names, titles, and roles validated.
- Stage 05 / 05
Quality Check.
Financial figures and terminology verified.
Deliver into anything you ship.
Export formats
JSON
Real-time capabilities
- Company names against 20,000+ database
- Executive names and titles
- Financial figures and currencies
- Industry-specific terminology
- Speaker identification and roles
Where real-time wins.
Compliance teams need verified accuracy before publication.
Financial accuracy is critical for historical analysis.
Capture every detail accurately for decision-making.
Complex conversations need human disambiguation.
Why finance-native editors beat generic transcription.
General-purpose transcription editors don't know finance terminology, miss the difference between similar company names, and aren't trained on capital markets. We solved that.
General OR finance
- Editors unfamiliar with finance nuances
- Misses critical terminology
- Confuses similar company names
- No capital-markets training
General AND finance
- Editors vetted for capital-markets fluency
- Elite <1% acceptance rate
- Custom-trained on your style guides
- Compliance-ready terminology and formatting
Need this on your call archive?
Book a 15-min demo →When to choose First Draft.
01 / Compliance
Compliance Requirements
- Compliance teams require human verification
- Audit-ready output mandatory
- Style-guide adherence non-negotiable
- Verifiable accuracy for regulated content
02 / Accuracy
Accuracy Demands
- 98%+ accuracy threshold
- Every figure validated by a human
- Speaker attribution must be perfect
- Style-guide formatting throughout
03 / Speed
Speed Considerations
- Same-day delivery, not 24+ hours
- Daily-event coverage workflows
- Faster than legacy human services
- Quality without legacy turnaround
INFLXD is the first vendor that didn't make us choose between speed and accuracy. We push live earnings transcripts to clients in under a second — and the numbers always land right.
Built for production workloads.
Core capabilities
Sub-second streaming with self-correction at enterprise scale.
Human intelligence layer
Speaker, role, entity, and finance-terminology recognition — all in stream.
Customization options
API streaming, WebSocket, and webhook delivery with rich metadata.
We lead in human-verified transcription because we built the team.
Editorial excellence
An editorial team finance buyers actually trust.
Finance-fluent editors with a <1% acceptance rate — more selective than Y Combinator. Continuous training, performance-based retention, and quality monitoring on every shift.
- <1%
- Editor acceptance rate
Scale achievement
Thousands of hours per client, 98%+ accuracy held.
Consistent 6–12 hour delivery at enterprise volume — without the accuracy degradation that historically came with human transcription at scale.
- 98%+
- Accuracy at 6–12h TAT
Key differentiators
Questions teams ask before they switch.
AI does the heavy lifting on the foundation pass, then finance editors verify the things AI can't reliably catch — tickers, executive titles, financial figures, and speaker attribution. Multi-point verification on every file, with performance monitoring on every editor's output.
Less than 1% of applicants make it onto the team — more selective than Y Combinator. They train on a finance-specific program before they touch client work, and continuously calibrate against our style and accuracy benchmarks.
Thousands of hours per client monthly is routine. The 6–12 hour SLA holds even on volume bursts because the AI layer absorbs the surface area before editors do focused verification — not full-pass transcription.
Yes — custom style guides, terminology lists, formatting conventions, and metadata preferences are configured per client and enforced on every transcript. Compliance teams can sign off once and trust the output.
Right fit
Is INFLXD the right fit for you?
01 / FOR TRANSCRIPT QUALITY
Transcript quality
98%+ accuracy with human verification on every financial figure, ticker, and speaker. Publishable to compliance without re-work.
02 / FOR OPERATIONS
Operational needs
6–12 hour delivery at enterprise volume. Same-day publication workflows without sacrificing the rigor that compliance teams require.
03 / FOR RISK
Risk mitigation
Human verification removes the silent-error class that pure-AI transcripts carry. Audit-ready output with full chain-of-custody metadata.
04 / FOR MARKET POSITION
Competitive edge
The only finance-native human-verified offering with this turnaround. Build licensable libraries and proprietary datasets ahead of competitors.
If any of these statements apply to your organization, let's talk.
Book a demo →Three ways to prove the quality.
Get a sample transcript.
Test our First Draft workflow with your own audio to see how our 98%+ accuracy holds up under a 12-hour TAT. Discover the quality of our First Draft output.
Request a sampleIntegration planning.
See how the First Draft pipeline plugs into your existing compliance and publication workflow — robust API docs and dedicated engineering support throughout.
Plan the integrationPilot program.
Launch a champion/challenger test against your current vendor in a dedicated, fully-supported pilot using your real-world volume. Make a data-driven decision.
Start a pilotPick the tier that fits the moment.
Four tiers from fastest to most accurate. You are here.
01
Real-Time Transcription
- Speed
- <1 second
- Accuracy
- ~95%+
For live earnings calls, compliance monitoring, and time-sensitive analysis.
02AI Asynchronous
- Speed
- Within minutes
- Accuracy
- ~96%+
Turn large volumes of audio into enriched, usable data with minutes turnaround.
03You are hereFirst Draft
- Speed
- 6–12 hours
- Accuracy
- ~98%+
Balance speed and quality with human-verified drafts for critical content.
04Human Perfect
- Speed
- 12–24 hours
- Accuracy
- ~99%+
For transcript libraries, compliance archives, and licensable content.
SpeedAccuracy
Last step
Ready for compliance-grade transcripts?
A walkthrough on your own files. 98%+ accuracy in 6–12 hours, human-verified by finance editors — straight into your publication workflow.
Talk to us →