Transcript libraries you own.
- NER catches every ticker, sector term, and nuanced analyst question
- MNPI flagging built into the editorial workflow
- Own your expert-call IP — resell, license, build products with no restrictions
Human-perfect transcription infrastructure for expert networks, financial research firms, and the buy side. 99%+ accuracy. Sub-1s latency. Full IP ownership to license and resell.
~95% is fine for podcasts — dangerous when tickers, names, and figures drive investment decisions. INFLXD verifies to 99%+.
AI-only tools mishear tickers, garble percentages, and never flag the errors that matter most.
Generic transcription doesn't detect or redact MNPI — leaving compliance work on your team.
Third-party transcription means data you can't control, integrate, or — for expert networks — resell.
Multi-format audio is captured, language-detected, and securely piped into our pipeline.
Self-correcting accuracy verified against a 15,000-company database, with finance-aware metadata.
Domain-specialised editors deliver finance-perfect transcripts at scale.
Flexible formats, rich metadata, and instant delivery into your stack.
Sub-second latency streaming, purpose-built for market-moving events. Feed transcripts directly into trading models, news desks, and LLM pipelines as the words are spoken.
Finance-native AI transcription with ticker-aware entity recognition and self-correcting accuracy. Post-processed in minutes — ready for analyst review, alerts, and downstream automation.
AI transcripts with a human editorial pass for names, tickers, and critical numerics. Delivered within hours — the fastest path to a shareable, quotable transcript.
Finance editorial specialists — not generic transcribers — deliver verbatim transcripts ready for publication, regulatory filing, or licensing. Every ticker, number, and speaker attribution checked.
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.
Across 10 earnings calls, with detailed methodology and head-to-head benchmark scoring.
Coverage for global earnings calls, non-English experts, and regional insights — delivered in English.
1,000+ concurrent streams handled per region without queueing.
Scale from 1,000 to 10,000+ finance audio hours every month, on demand.
Always-on, multi-region failover with contractual service levels.
If any of these statements apply to your organization, let's talk.
You need to own — and resell — your transcript IP, not lease restricted text from incumbents.
You handle 10,000+ hours of finance audio per year and want elastic scale without building new infrastructure.
You plan to monetize content products or fuel LLM/RAG workflows and can't compromise on 99%+ accuracy.
You require sub-second live transcripts and under-24-hour human-perfect turnaround.