Skip to content
HeyJared

Sphere Energy

Welcome to Sphere! We build the deep tech that powers AI-driven physical engineering. From battery validation to system-level simulation, we turn fragmented, complex engineering data into enterprise intelligence, so engineers can move at the speed of software without…

YouTube · Official site

Indexed videos, last 90 days
9
Latest publication
Sep 25, 2026
Audience
~101 subscribers
Earliest in this view
Jul 7, 2026

Latest videos

  1. Video · Sep 25, 2026

    Can Europe Win the Industrial AI Race? (Prof. Dr. Patrick Glauner) | Espresso Talks #17 (opens the original)

    Excerpt · 19 min · 92 views by Sep 30, 2026

    Read excerpt

    Prof. Dr. Patrick Glauner (Deggendorf Institute of Technology) joins us to unpack the reality of deploying Physical AI beyond the LLM hype. Drawing on his experience at CERN, Krones AG, and advising European parliaments on AI regulation, he brings sharp technical clarity on unlocking proprietary CAD data, navigating the EU AI Act, and building a 90-day AI strategy for industrial engineering. 00:00 - Intro: Prof. Dr. Patrick Glauner (AI at Deggendorf Institute of Technology) 01:05 - Deploying AI:

  2. Video · Aug 14, 2026

    How AI Is Accelerating Engineering Simulations | Espresso Talks #16 (opens the original)

    Excerpt · Positive tone · 21 min · 143 views by Sep 30, 2026

    Read excerpt

    What happens when AI moves beyond language and starts understanding the physical world? In Episode 16 of Espresso Talks by Sphere Energy, we explore Physical AI and how it could transform the way engineers simulate, design, and make critical decisions. From physics-governed AI models and faster simulation workflows to engineering data sovereignty, trust, and the risk of physics hallucinations, we look at what it really takes to bring AI into industrial engineering. The goal isn't to replace engi

  3. Video · Aug 14, 2026

    Top 10 Deep Tech Startups in DACH. Now, It’s Your Call. (opens the original)

    Excerpt · Positive tone · 0 min · 47 views by Sep 30, 2026

    Read excerpt

    We’re proud to be named one of the Top 10 tech startups in DACH by McKinsey & Handelsblatt’s The Spark Award 2026. Now the winner is decided by public vote. 👉 Vote for Sphere Energy for the Spark Award 2026: https://cmk.handelsblatt.com/cms/articles/20690/mtssource/17095/anzeige/deep-tech/wer-gewinnt-den-spark-award-2026-stimmen-sie-ab #DeepTech #Engineering #AI #TheSparkAward

  4. Video · Jul 14, 2026

    How Sphere and DEKRA are Partnering for AI Innovation (opens the original)

    Excerpt · Positive tone · 2 min · 28 views by Sep 30, 2026

    Read excerpt

    In our episode 15 of Espresso Talks, we sit down with Petra Finke, CDO & Member of the Management Board at DEKRA SE, to explore the data-driven partnership between DEKRA and Sphere Energy. We discuss how decades of physical testing data, combined with modern AI-powered engineering platforms, can help transform battery insights from reactive analysis into predictive intelligence, enabling a new era of digital trust. Watch the full episode to discover how data is reshaping the future of battery te

  5. Video · Jul 14, 2026

    How Europe Can Still Win the AI Revolution (opens the original)

    Excerpt · Positive tone · 1 min · 22 views by Sep 30, 2026

    Read excerpt

    In this snippet from Espresso Talks Ep. 15, we discuss why the winning strategy for European industries lies in smart AI orchestration layers. By plugging specialized industry data, like DEKRA’s decades of testing expertise, into the right models, we create an advantage no one else can match. Watch the full episode to see how to make AI trustworthy and accessible for enterprise experts! https://www.youtube.com/watch?v=XLsfv7rYwBY #AIOrchestration #GenerativeAI #PredictiveIntelligence #TechStrate

Publishing over time

Last 90 days. Choose a month to open its work.

Recurring subjects

Named in the text we hold. One piece can cover several.

Audience

~101 subscribers

Measured Sep 19, 2026

Source's subscribers, not the number who saw an individual piece.

How this was measured

About this data

Counts cover the work we have indexed. Tone needs enough text and a confident classification. Excerpts and episode notes are not full articles or transcripts.

Identity or attribution wrong? Suggest a correction.

See coverage about Sphere Energy