Tiny Prism Labs

Manipal, India Founded: 2022 • Age: 4 yrs
AI, modular hardware, and software solutions for TinyML are provided.
Annual revenue - Latest available
Total funding - Funding intelligence
Employees 1 Tracked headcount
Investors - Known backers
Products - Services tracked
Competitors - Brand Intelligence

About Tiny Prism Labs

Tiny Prism Labs is a company based in Manipal (India) founded in 2022 by Ajith K J and Errol Joshua. The company has 1 employees as of April 06, 2024.

  • Headquarter Manipal, India
  • Employees 1 as on 06 Apr, 2024
  • Founders Ajith K J, Errol Joshua
  • Sectors
    Technology
  • Phone
    Locked
  • Website
    Locked
  • Social
    Locked
  • Legal Name Tiny Prism Labs Private Limited
  • Date of Incorporation 14 Jan, 2022
  • Jurisdiction Udupi, Karnataka, India
Operational Areas
Technology → Artificial Intelligence & Machine Learning Unlock Sub-Sector Unlock Segment
Key Metrics
  • Annual Revenue
    Not available
  • Net Profit
    Not available
  • EBITDA
    Not available
  • Latest Funding Round
    Not available
  • Investors
    Not available
  • Employee Count
    1

    as on Apr 06, 2024

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Funding Insights of Tiny Prism Labs

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Investments & Acquisitions by Tiny Prism Labs

Investments
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Financial Statements - Tiny Prism Labs

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Tiny Prism Labs Comparisons

Tiny Prism Labs Primary company
Description
AI, modular hardware, and software solutions for TinyML are ...
Location
Manipal, India
Founded Year
2022
Annual Revenue
Not available
Net Profit
Not available
EBITDA
Not available
Employees
1
As of 2024
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Competitors of Tiny Prism Labs

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Latest news on Tiny Prism Labs

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Frequently Asked Questions about Tiny Prism Labs

Tiny Prism Labs was founded in 2022.

Tiny Prism Labs is headquartered in Manipal, India. It is registered at Manipal, Karnataka, India.

As of Apr 06, 2024, the latest employee count at Tiny Prism Labs is 1.

Tiny Prism Labs was established in 2022 in Manipal, India, within the AI and embedded systems sector. End-to-end TinyML solutions are delivered, covering hardware design, prototyping, and machine learning model development and training. Modular hardware and software components are employed to support real-time processing, improve data privacy, and decrease transmission volumes across various applications.

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