Market research
DVLT Datavault AI Inc.
NASDAQ USD Technology
Latest close
As of 30 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 83M
- P/E ratio
- Not available
- Analyst target
- 2.5
- Dividend yield
- Not available
- Beta
- 0.35
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Technology
- Industry
- Software - Infrastructure
- ISIN
- Not available
- Market cap
- 83M
- P/E ratio
- Not available
- Analyst target
- 2.5
- Dividend yield
- Not available
- Beta
- 0.35
About
About Datavault AI Inc.
Datavault AI Inc., a data sciences technology company, owns and operates data management platforms with high computing capabilities in North America, Asia Pacific, Europe, and internationally. The company is focused on the delivery of cyber-secure, privacy protected data management and monetization technologies, as well as offers artificial intelligence driven agents, such as Data Vault, DataValue, DataScore, and Data Vault Bank. It also offers wireless audio standards and data-over-sound technologies, creating solutions for audio experiences, secure data transmission, credentialing, and RWA tokenization; and ADIO, a data over sound platform, and WiSA E, a wireless audio technology. The company was formerly known as WiSA Technologies, Inc. and changed its name to Datavault AI Inc. in February 2025. Datavault AI Inc. was incorporated in 2010 and is headquartered in Beaverton, Oregon.
Research context
Datavault AI Inc. appears in PyInvesting’s US Stock catalogue. The price history above describes this recorded instrument; it does not by itself identify a company’s business or establish a continuous investment return.
- Currency
- USD
- Sector
- Technology
- Industry
- Software - Infrastructure
These are the latest stored catalogue classifications, not a historical classification snapshot. An issuer description, classification effective date or currency may be unavailable. Check the issuer’s own disclosures and the observation dates before using these fields for research.
Review backtest assumptions and evidence before treating a chart or stored history as a research result.
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