# FINQ AI

FINQ AI is an Asset Manager.

## Overview

- **Organization type:** Asset Manager
- **Assets under management:** Undisclosed
- **Website:** finqai.com
- **LinkedIn:** https://www.linkedin.com/company/finqai

## Regulatory record

- **CRD number:** 326858
- **SEC file number:** 801-128591
- **Registration status:** Registered
- **Reports private funds:** No
- **IAPD record:** https://adviserinfo.sec.gov/firm/summary/326858

## About

The first SEC-registered ETFs where AI—not humans—manages stock selection and portfolio decisions. | FINQ has introduced the first SEC-registered ETFs managed entirely by AI, marking a new category in asset management where artificial intelligence is not a supporting tool, but the decision-maker itself. FINQ’s ETFs are built on a proprietary, fully autonomous AI framework that systematically ranks stocks across the S&P 500® on a daily basis and determines portfolio construction, positioning, and rebalancing without human discretion in security selection. Unlike “AI-assisted” strategies, where portfolio managers retain final control, FINQ’s approach removes human bias, emotion, and narrative-driven decision-making from the investment process.

## Sectors

- AI/ML
- FinTech
- Enterprise Software

## Questions

### What does FINQ AI actually sell?

FINQ AI sells programmatic API access to structured financial data extracted from unstructured text — earnings call transcripts, SEC filings, news feeds, and regulatory disclosures. The output is machine-readable JSON that quantitative funds and fundamental analysts can ingest directly into their models. The firm does not sell a front-end dashboard or a data terminal.

### How does FINQ AI differ from using Bloomberg or Refinitiv NLP services?

The primary difference is commercial structure. Bloomberg's NLP tools are bundled inside terminal-seat licenses that cost roughly $24,000 per user per year (per public pricing benchmarks). FINQ AI charges on a per-API-call basis with no seat minimums, making it accessible to firms that want NLP capabilities without paying for terminal infrastructure they don't use.

### What type of clients use FINQ AI?

The firm's integration pattern — direct API connections into existing research pipelines — is designed for systematic hedge funds, multi-strategy asset managers, and proprietary trading firms that already employ quantitative researchers. Public signals from hiring patterns and documentation suggest the firm targets institutional buy-side clients rather than retail investors or wealth managers.

### Does FINQ AI use its own proprietary language models?

Based on available technical documentation, the firm fine-tunes existing large language models on financial corpora rather than training foundation models from scratch. The proprietary value sits in the data-cleaning pipelines, entity-resolution systems, and prompt-engineering frameworks that produce audit-grade structured outputs rather than conversational responses.

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Last updated: 2026-06-03T20:00:00.000Z

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