Web Analytics

3 Latest Announced Rounds

  • $2,500,000
    Unknown

    1 Investors

    Services for Renewable Energy
    Nov 22nd, 2024
  • $40,000,000
    Unknown

    1 Investors

    Hospital & Health Care
    Nov 22nd, 2024
  • $45,000,000
    Series C

    1 Investors

    Renewable Energy Semiconductor Manufacturing
    Nov 22nd, 2024
$2,242.93M Raised in 93 Funding Rounds in the past 7 Days - View All

Funding Round Profile

Articul8 AI

start up
United States - Palo Alto
  • 04/01/2024
  • Unknown
  • Undisclosed Amount

Articul8 is a Generative AI (GenAI) enterprise software company focused on helping organizations solve the world’s toughest problems. Articul8’s full-stack, vertically-optimized GenAI software platform enables companies to build, deploy and manage enterprise-grade, secure GenAI applications rapidly and cost-effectively. Articul8's proprietary GenAI technologies are infrastructure and hardware-agnostic, and deliver lasting business value by transforming customer data into actionable insights. Our team of industry veterans and AI experts have a heritage of successfully operationalizing and deploying AI at scale across a variety of mission-critical industries.


Related People

Arun K. SubramaniyanFounder

Arun K. Subramaniyan United States - Santa Clara, California

- Proven track record of successful product development from early stage inception to deployment with strong emphasis on product strategy.
- 10+ years experience developing Bayesian methods, global optimization, machine learning algorithms
and deploying them for industrial applications in production.
- Broad interdisciplinary background in scientific research in aerospace engineering, probabilistic physics, machine learning and optimization with 50+ international publications, 18+ Patents granted, 990+ citations with a h-index of 13.
- Passionate about enhancing the physical world with mathematical tools
- Hyperscaling global data science and product teams to drive exponential growth.

Interests: Deep Learning, Machine Learning, Bayesian Statistics, Optimization, Uncertainty Quantification, Probabilistic Physics, Nanomaterials, Nanocomposites