Zeer
SimScaleSimScale
Buying intent
36 tracked signals | Top 13 topics are below | Sales and Product are carrying most of it.
Attention by team
LinkedIn activity, by teamWhere SimScale's own people are actually spending their attention, by team, by topic. Bands run Low to High against the busiest pairing on this page, and each cell also shows how much of that team's own activity it represents.
Topics being researched
30-day windowEvery tracked topic, ranked by volume, not by our guess at what matters. Confidence is the classifier's own certainty that a signal belongs where we've filed it.
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Need intent for a specific topic or industry?
We track the full taxonomy across every account in the graph — including themes not shown on this page.
Who's active at SimScale
verified title on fileTitles, seniority and topic straight from each person's own activity, with a LinkedIn link so you can check any of them yourself.
Primary products / business lines
LinkedIn company profileSimScale is the world’s first AI-native cloud platform for engineering simulation. Trusted by more than 700,000 users, SimScale empowers engineers everywhere to innovate faster by exploring 1000’s of engineering decisions in seconds. By integrating Engineering AI workflows with computational fluid dynamics (CFD), finite element analysis (FEA), electromagnetic, and thermal simulation in a single cl
Top accounts researching SimScale
names withheld on the public pageThese are companies whose own people brought up SimScale unprompted, not accounts we guessed might be interested. We can't yet tell an implementation partner from a genuine buyer here, names unlock along with the buyer profile below.
151,426 companies · 839,012 people are researching Artificial Intelligence
SimScale's own team shows 12 signals on this topic. No one outside SimScale has been seen researching the company by name yet — so this is the market it sits in, not a list of its buyers.
- Agentic AI System32,339 cos · 130,942 people
- AI Agent Software25,734 cos · 91,495 people
Buyer profile
company size · seniorityCompany size and how senior the people involved are, the two things that decide whether this is a real deal. Competitor overlap isn't computed yet for this account.
Buying committee functions
Employee job titles (LinkedIn)Product — 3 people; Sales — 1 person; Marketing — 1 person; Engineering — 1 person
What's been said
public posts mentioning SimScaleUp to 9 public excerpts naming SimScale from the past 365 days, across LinkedIn, Reddit, X, YouTube and other public sources.
We've worked and collaborated with Simscale to take very complex simulations and then give access to them through these Rhinobased workflows as well.
View source post"We now have an AI model that can generate a new optimized design in under an hour, and I have complete confidence in the results." is how Armin Narimanzadeh at HD Hyundai Convion described using #PhysicsAI in @SimScale. Armin joined us yesterday to dive deeper on the practicalities of rolling out Physics AI in production for an enterprise engineering team. If you missed it, you can still catch the webinar here: https://lnkd.in/eAgF7SR9 Link to Convion's story with SimScale below...
May 2026Most simulation bottlenecks are no longer caused by compute power. They come from the manual work surrounding simulation itself. Geometry cleanup. Meshing. Boundary conditions. Reviewing RFQs. Translating design intent into a simulation setup. Waiting on specialist bandwidth. Waiting on handoffs. That’s the core theme behind this recent article from SimScale on agentic engineering workflows. It discusses the distinction between scripted automation and true agentic workflows. Traditional automation only works when inputs are perfectly structured. Engineering rarely works that way. CAD is messy. Naming conventions vary. Requirements are incomplete. Real engineering workflows are full of ambiguity. The interesting part about Engineering AI agents is their ability to reason through that ambiguity: • Identifying missing information • Applying simulation best practices • Interpreting RFQs and geometry context • Continuing workflows with natural language interaction instead of rigid scripting The implication is bigger than “faster setup.” As repetitive simulation tasks become increasingly automated, engineering teams can spend more time exploring design options, evaluating tradeoffs, and making decisions earlier in development. According to SimScale’s recent Engineering AI survey, teams already using these workflows in production reported: • 3x more design variants explored • 3x faster RFQ turnaround times (SimScale) That’s where this gets interesting from a business perspective. The advantage is not simply running simulations faster. It’s increasing the number of engineering decisions a team can confidently evaluate within the same development window. The engineering workflow itself is starting to change. See article link in comments.
May 2026M&A / partnership appetite
Web / pressSimScale & Hexagon Partner on Cloud Nonlinear Structural Analysis; SimScale Launches Engineering AI Agent for Onshape; SimScale and Hexagon Announce Cloud Availability of Marc Solver