Aiera’s Human Reviewed Transcripts Set New Bar as Institutional Standard

New York, NY, March 19, 2026 — As AI becomes embedded in institutional research workflows, the bar for accuracy, attribution, and auditability continues to rise. Aiera today announced results from an independent benchmarking analysis citing that its Human Reviewed Transcripts deliver a meaningfully improved quality and speed advantage over other leading industry providers.

The analysis evaluated sampled earnings call transcripts across U.S., European, and Latin American companies. Each transcript was independently scored across six quality dimensions on a 1–10 scale. Across all six categories, Aiera’s transcripts achieved an average score of 8.04, compared to 5.74 for the benchmark, a 40% overall quality improvement.

Aiera outperformed the benchmark in every category, including:

• Speaker Identification: +3.87 points (79% improvement)
• Formatting Consistency: +3.74 points (83% improvement)
• Readability: +1.95 points (31% improvement)
• Verbatim Accuracy: +1.58 points (27% improvement)

All transcripts undergo Aiera’s four-stage process to reach “Human Perfect” status.

1. Real-Time Transcription – AI Generated live transcript text from audio with no delay
2. Speaker Final – Editor reviews the AI-generated transcript against audio for accuracy, speaker attribution, proper nouns, and financial figures.
3. First Draft Final (FD) – Formatting polish, metadata verification, compliance review, and structural consistency check.
4. Human Perfect (HD) – Final sign-off and publication readiness.

AI-First. Human Perfected.

Aiera’s transcription workflow begins with AI generation and is elevated through structured human review. On average, Aiera’s AI engine produced a first-draft transcript in just 6 minutes following the completion of the event, regardless of call length.

Across the sample, the average earnings call lasted approximately 50 minutes, meaning transcripts were generated roughly 8x faster than call duration. The AI-generated first draft’s verbatim accuracy scores competitively against the benchmark’s final reviewed version. After human review, the final Human Perfect version quality exceeds the benchmark, driven by improved speaker verification and verbatim corrections.

Why Quality Matters

The analysis identified recurring deficiencies in the benchmark transcripts, including:

• Unresolved “Unknown Analyst” labels
• Incorrect company names and technical terminology
• Meaning reversals due to transcription errors
• Omitted financial disclosures marked as “[Audio Gap]”

Aiera’s transcripts resolved unknown speakers, corrected material errors, recovered indiscernible content, and included structured navigation features such as timestamps, speaker directories, and keyword metadata in every file.

“These results reinforce the benefits of AI in combination with human oversight,” said Ken Sena, CEO and Co-Founder of Aiera. “When AI is combined with structured human review, it offers speed and delivery that institutions can trust.”

James Nguyen, CEO of INFLXD, added: “This benchmarking study shows what happens when purpose-built AI meets rigorous human editorial standards. Together with Aiera, we’re defining a new quality benchmark for financial transcription.”

Setting the Standard for AI-Native Research

Aiera’s Human Reviewed Transcripts are produced through its exclusive partnership with INFLXD. They reflect Aiera’s consortium-led model, built to align AI innovation with institutional standards for transparency, attribution, and auditability.

As AI reshapes financial research, independent validation matters. This benchmarking analysis confirms that Aiera’s governed, AI-native infrastructure delivers transcripts that are both faster and more accurate, built to meet institutional standards.

Download the Benchmark Report here: https://aiera.com/transcript-benchmark-report/

About Aiera
Aiera is a consortium-backed, AI-powered financial research and event intelligence platform built for institutional investors. Governed by leading Wall Street research providers, Aiera enables compliant, fully auditable access to high-value research content, spanning discovery, analysis, summarization, and distribution, with complete IP governance and attribution. The platform empowers research providers to adopt AI while retaining full control of their content, and gives buy-side firms centralized, entitlement-aware access to AI-ready research through vendor-agnostic APIs, MCP, and embeddable components across existing and emerging distribution channels.

Media Contact:
Carol Hickins
PR for Aiera
carol@launchsnap.com