Market research
MSAI Infrared Cameras Holdings Inc
NASDAQ USD Technology
Latest close
As of 30 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 9M
- P/E ratio
- Not available
- Analyst target
- 10
- Dividend yield
- Not available
- Beta
- -0.22
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Technology
- Industry
- Electronic Components
- ISIN
- Not available
- Market cap
- 9M
- P/E ratio
- Not available
- Analyst target
- 10
- Dividend yield
- Not available
- Beta
- -0.22
About
About Infrared Cameras Holdings Inc
MultiSensor AI Holdings, Inc. builds and deploys integrated condition monitoring and early threat detection solutions that connect multiple sensor types through a unified edge-to-cloud software architecture in the United States and internationally. The company provides sensor hardware, including visible-light, shortwave, midwave, longwave infrared, ultraviolet, and acoustic imagers; tunable diode laser emitter-detector pairs for laser absorption spectrometry; and MSAI Connect, a software platform that enables predictive asset reliability and process control in industrial environments as cloud-based subscription service and as an on-premises deployment. It also offers installation services, such as on-site hardware mounting, sensor commissioning, and connectivity into the MSAI Connect platform. The company was founded in 1995 and is headquartered in Houston, Texas.
Research context
Infrared Cameras Holdings 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
- Electronic Components
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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