Cutonce

Unknown

★ 11 • Updated Jul 18, 2026, 03:16 AM

Cutonce is a cloud-based platform that enables financial analysts to build automated research pipelines without writing code.

Use Cases ▼

Automated morning stock screening and scoring

AI analysis of earnings call transcripts and management behavior

Conversion of YouTube strategy videos into runnable pipelines

Custom quantitative portfolio construction and benchmark comparison

Scheduled generation of research reports for distribution

Cross-referencing SEC filings, fundamentals, and insider trades

What Problem It Solves ▼

Cutonce automates the manual, repetitive work of financial research by allowing analysts to encode their investment thesis into scheduled, reproducible pipelines. This eliminates daily data gathering and analysis toil, delivering ranked shortlists and AI-driven insights on time.

Key Features ▼

✓

No-code visual pipeline builder

✓

Scheduled, automated research runs

✓

Built-in data from SEC, earnings calls, and fundamentals

✓

YouTube video to pipeline conversion

✓

Reproducible audit logs for every run

Overview

Cutonce is a cloud-based platform that enables financial analysts to build automated research pipelines without writing code. Users can define a universe of stocks, apply custom screening and scoring rules, and leverage AI to analyze earnings calls, SEC filings, and other financial data. The visual canvas allows chaining together filter, score, AI, and comparison nodes to encode an investment thesis explicitly.

Full Description ▼

Pipelines can be scheduled to run daily or on demand, delivering results via email, Google Sheets, Slack, or webhooks before the market opens. The platform ingests data centrally from public sources such as SEC EDGAR, FRED, and earnings transcripts, so users do not manage API keys or data feeds.

A unique feature converts YouTube videos of earnings calls or strategy discussions into pipelines by extracting the thesis, universe, and signals automatically. Every run is logged with a reproducible audit trail, ensuring transparency and defensibility of the process.

Pros & Cons

Pros

No-code visual pipeline builder

Scheduled, automated research runs

Built-in data from SEC, earnings calls, and fundamentals

YouTube video to pipeline conversion

Reproducible audit logs for every run

Cons

−

Pricing details not publicly available

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No self-hosting option

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Limited to predefined public data sources

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AI analysis accuracy may vary

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Requires financial domain knowledge to configure pipelines

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