AI for Engineering & Product Development: AI-Native Simulation contains 12 companies across
1 categories.
Startups using AI to accelerate, replace, or augment physics simulation, from surrogate models and solver replacement to real-time CAE and simulation-driven optimization.
New category
Emmi AI
Website: emmi.ai
Emmi AI develops AI-native physics simulation software for industrial engineering, helping teams run real-time simulations and digital twins for complex physical systems.
Category: New category.
Funding stage: Seed.
Founded: 2024.
Country: Austria.
Employees: 11-50 employees.
Landscape fit: It fits the category because its core product is AI-native simulation for engineering and product development, replacing traditional numerics-heavy simulation workflows with fast, scalable physics-aware models.
Funding rounds
-
Seed
announced 2025-04-01
: 15000000 EUR
; investors: 3VC, Speedinvest, Serena, PUSH VC
; source: Emmi AI
; https://www.emmi.ai/news/emmi-ai-raises-eur-15m-to-bring-ai-to-the-heart-of-industrial-engineering
Company timeline
-
2026-06-01:
Team size reaches about 30 people
(hr)
. A LinkedIn post from Emmi AI says the team has doubled in size and is now a 30-person team across 8 European locations.. Team size observed: 11-50 employees employees.
Source: Emmi AI LinkedIn.
https://www.linkedin.com/posts/emmiai_since-our-last-team-photo-weve-doubled-activity-7386657838904881152-CCuz
-
2026-06-01:
Careers page shows active hiring in Paris and Linz
(hr)
. Emmi AI’s careers page states that the company is building its team in Paris and Linz and lists open positions.. Team size observed: 11-50 employees employees.
Source: Emmi AI Careers.
https://www.emmi.ai/careers
-
2026-05-01:
Hiring message posted on LinkedIn
(hr)
. Emmi AI posted a hiring-themed update using hashtags such as #Hiring, #AIJobs, #Careers, #TechTalent, and #JoinUs.. Team size observed: 11-50 employees employees.
Source: Emmi AI LinkedIn.
https://www.linkedin.com/posts/emmiai_hiring-aijobs-careers-activity-7307317311273656320-my6C
-
2026-05-01:
Emmi AI acquired by Mistral AI
(acquisition)
. Mistral AI announced it is acquiring Emmi AI; Emmi’s co-founders and team will join Mistral AI’s Science and Applied AI teams in May 2026.. Acquirer: Mistral AI. Status: announced
Source: Emmi AI.
https://www.emmi.ai/news/mistral-ai-acquires-emmi-ai
-
2026-02-10:
NeuralMould introduced as first digital engineer for injection molding
(gtm)
. Emmi AI launched NeuralMould, a productized model for injection molding, and paired it with a SIMCON partnership to show workflow integration in a specific industrial vertical.
Source: Emmi AI News.
https://www.emmi.ai/news/neuralmould-our-first-digital-engineer
-
2026-02-10:
NeuralMould launched as first digital engineer for injection moulding
(product)
. Emmi AI released NeuralMould, a model for injection moulding that lets engineers iterate on geometry, material, and gate choices in seconds.
Source: Emmi AI.
https://www.emmi.ai/news/neuralmould-our-first-digital-engineer
PhysicsX
Website: physicsx.ai
PhysicsX is an AI-native engineering software company that embeds physics AI into engineering workflows to speed up simulation, expand design exploration, and support the full product lifecycle from concept through manufacturing and operations. ([physicsx.ai](https://www.physicsx.ai/))
Category: New category.
Funding stage: Series C.
Founded: 2019.
Country: United Kingdom.
Employees: 300+ employees.
Landscape fit: It fits AI-native simulation because its core product unifies simulation, physics AI, data, and engineering applications, and the company explicitly says it accelerates simulation by orders of magnitude for industrial engineering use cases. ([physicsx.ai](https://www.physicsx.ai/))
Funding rounds
-
Series C
announced 2026-06-01
: 300000000 USD
; investors: Temasek, M&G Investments, Intrepid Growth Partners, Applied Materials, Atomico, General Catalyst, July Fund, NGP, NVIDIA, Radius, Siemens
; source: PhysicsX newsroom
; https://www.physicsx.ai/newsroom/physicsx-announces-300m-series-c-to-accelerate-physics-ai-for-industrial-engineering
-
Series B
announced 2025-06-01
: 135000000 USD
; investors: Atomico, Temasek, Siemens, Applied Materials, July Fund, General Catalyst, NGP, Radius Capital, Standard Investments, Allen & Co.
; source: PhysicsX newsroom
; https://www.physicsx.ai/newsroom/physicsx-raises-135m-series-b-to-usher-in-a-new-era-of-ai-native-engineering-and-manufacturing
-
Series A
announced 2023-11-01
: 32000000 USD
; investors: General Catalyst, Standard Investments, NGP, Radius Capital, Henry Kravis
; source: PhysicsX newsroom
; https://www.physicsx.ai/newsroom/physicsx-raises-32m-to-give-engineers-ai-superpowers-to-accelerate-design-of-advanced-technologies
Company timeline
-
2026-06-10:
Open-roles board shows broad hiring across four functions
(hr)
. PhysicsX’s careers board lists 39 open jobs spanning Delivery, Operations, Product, and Research.. Team size observed: 300+ employees employees.
Source: PhysicsX careers / Greenhouse jobs board.
https://job-boards.eu.greenhouse.io/physicsx
-
2026-06-01:
Series C
(funding)
. Amount: 300000000 USD. Investors: Temasek, M&G Investments, Intrepid Growth Partners, Applied Materials, Atomico, General Catalyst, July Fund, NGP, NVIDIA, Radius, Siemens
Source: PhysicsX newsroom.
https://www.physicsx.ai/newsroom/physicsx-announces-300m-series-c-to-accelerate-physics-ai-for-industrial-engineering
-
2026-05-01:
Delivery hiring push across North America and Europe
(hr)
. PhysicsX posted that it is hiring in Delivery across North America and Europe.. Team size observed: 300+ employees employees.
Source: PhysicsX LinkedIn.
https://www.linkedin.com/posts/physicsx_imagine-compressing-months-of-simulation-activity-7341883086088945665-IjIQ
-
2026-04-15:
Reframed delivery around measurable customer impact
(gtm)
. PhysicsX’s April 2026 platform article emphasized delivery teams that help customers identify applications, integrate with existing systems, validate models, and co-engineer solutions for measurable business value. ([physicsx.ai](https://www.physicsx.ai/newsroom/engineering-in-the-age-of-physics-ai-the-platform-driving-the-shift?utm_source=openai))
Source: PhysicsX newsroom.
https://www.physicsx.ai/newsroom/engineering-in-the-age-of-physics-ai-the-platform-driving-the-shift
-
2026-03-17:
PhysicsX and Siemens launched AI-accelerated data center power infrastructure workflow
(product)
. PhysicsX and Siemens said an AI-accelerated model and interactive application could predict busbar thermal behavior in seconds instead of days.
Source: PhysicsX newsroom.
https://www.physicsx.ai/newsroom/physicsx-and-siemens-collaborate-to-advance-data-center-power-infrastructure-with-physics-ai-powered-by-nvidia
-
2026-03-16:
PhysicsX advanced open standards for physics AI with NVIDIA
(product)
. PhysicsX announced work with NVIDIA to define common architecture language and shared evaluation approaches for physics AI models.
Source: PhysicsX newsroom.
https://www.physicsx.ai/newsroom/physicsx-announces-advancement-to-open-standards-for-physics-ai-powered-by-nvidia
NP Company (NP Co.)
Website: npco.ai
AI-powered simulation software for aerospace, defense, and energy engineering.
Category: New category.
Funding stage: Pre Seed.
Founded: 2025.
Country: France.
Landscape fit: It fits the AI-native simulation category because it builds physics-simulation software powered by AI models to replace or accelerate legacy engineering simulators, with use cases in industrial design and product development.
Funding rounds
-
Pre-seed
announced 2026-06-01
: 6000000 EUR
; investors: Partech, Peugeot family office, Guillaume Lample, Cédric O, Florian Douetteau, Vincent Luciani
; source: Partech
; https://partechpartners.com/news/np-co-raises-6m-pre-seed-to-bring-frontier-ai-to-industrial-engineering-backed-by-mistral-ai-founders
Company timeline
-
2026-06-10:
Active careers page with multiple open roles
(hr)
. NP Co.'s careers page lists six open positions, including Research Scientist roles in Topological Optimization, Large Model Training, and Generalization; Simulation Engineer roles in CFD Simulation and Mechanical Simulation; a Software Engineer role for Platform & DevOps; and an AI Deployment Engineer role for AI & Industry.
Source: NP Company careers page.
https://www.npco.ai/careers
-
2026-06-02:
NP Company announces transformer-based industrial physics platform
(product)
. NP Company says it is building a new class of physics simulator powered by transformer models pre-trained on industrial physics, with results in seconds across the full assembly.
Source: Partech Partners.
https://partechpartners.com/news/np-co-raises-6m-pre-seed-to-bring-frontier-ai-to-industrial-engineering-backed-by-mistral-ai-founders
-
2026-06-02:
Hiring researchers and engineers
(hr)
. A recent company announcement states that NP Co. is currently hiring AI researchers and engineers with backgrounds across AI and physical engineering.
Source: Partech Partners.
https://partechpartners.com/news/np-co-raises-6m-pre-seed-to-bring-frontier-ai-to-industrial-engineering-backed-by-mistral-ai-founders
-
2026-06-02:
Augur rebrands to NP Company and broadens positioning
(product)
. Augur announces that it is now NP Complete / NP Company and moves to a new website, with current messaging shifting toward AI-native physics simulation for aerospace, defense, and energy engineering.
Source: Augur AI / NP Co. funding announcement.
https://augursim.ai/
-
2026-06-01:
Rebrand from Augur to NP Company
(gtm)
. The company renamed itself from Augur to NP Company / NP Complete and moved customers to the new npco.ai home, while keeping the same industrial simulation thesis. ([augursim.ai](https://augursim.ai/?utm_source=openai))
Source: Augur AI and NP Company websites.
https://augursim.ai/
-
2026-06-01:
Pre-seed
(funding)
. Amount: 6000000 EUR. Investors: Partech, Peugeot family office, Guillaume Lample, Cédric O, Florian Douetteau, Vincent Luciani
Source: Partech.
https://partechpartners.com/news/np-co-raises-6m-pre-seed-to-bring-frontier-ai-to-industrial-engineering-backed-by-mistral-ai-founders
Quanscient
Website: quanscient.com
Quanscient develops cloud-native multiphysics simulation software that combines advanced simulation algorithms with cloud and quantum computing to help engineers build accurate digital prototypes faster.
Category: New category.
Funding stage: Series A.
Founded: 2021.
Country: Finland.
Employees: 11-50 employees.
Landscape fit: It fits AI-native simulation because its platform is built to modernize engineering simulation with cloud-scalable, code-driven multiphysics workflows and positioning around AI-era R&D and digital prototyping.
Funding rounds
-
Series A
announced 2026-05-01
: 10000000 EUR
; investors: 55 North, B&C Group, Maki.vc, Crowberry Capital, QAI Ventures, First Fellow Partners
; source: Quanscient
; https://quanscient.com/news/quanscient-raises-10m-leads-the-shift-to-quantum-and-ai-native-hardware-engineering
-
Growth funding
announced 2024-11-01
: 5200000 EUR
; investors: Crowberry Capital, Speen Holding, Maki.vc, First Fellow
; source: Quanscient
; https://quanscient.com/news/quantum-algorithm-pioneer-quanscient-secures-5.2m-to-bring-engineering-simulation-into-the-quantum-era
-
Seed
announced 2023-04-01
: 3900000 EUR
; investors: Maki.vc, Business Finland
; source: Quanscient
; https://quanscient.com/news/quanscient-raises-3.9-million-euros-to-accelerate-hardware-innovation-with-fast-simulations
Company timeline
-
2026-06-01:
Team size observed at 11-50 employees
(hr)
. Quanscient’s LinkedIn company page shows a company size of 11-50 employees and lists the firm as founded in 2021.. Team size observed: 11-50 employees employees.
Source: LinkedIn.
https://www.linkedin.com/company/quanscient
-
2026-06-01:
Careers page currently invites open applications
(hr)
. Quanscient’s careers page shows an open-application flow and says it is open to future openings, rather than listing a broad set of active roles.. Team size observed: 11-50 employees employees.
Source: Quanscient Careers.
https://quanscient.com/about-us/careers
-
2026-05-08:
Agentic AI for multiphysics simulation
(gtm)
. Quanscient published a major positioning piece arguing that hardware engineering needs text-accessible tools and presenting agentic AI as the next step for multiphysics workflows.
Source: Quanscient Blog.
https://quanscient.com/blog/agentic-ai-for-multiphysics-simulation-is-here
-
2026-05-01:
Series A
(funding)
. Amount: 10000000 EUR. Investors: 55 North, B&C Group, Maki.vc, Crowberry Capital, QAI Ventures, First Fellow Partners
Source: Quanscient.
https://quanscient.com/news/quanscient-raises-10m-leads-the-shift-to-quantum-and-ai-native-hardware-engineering
-
2026-04-02:
Quantum CFD breakthrough on real hardware
(product)
. Quanscient and Haiqu announced a new algorithm for scalable CFD on quantum computers, demonstrated on IBM Heron R3 with a 15-step nonlinear fluid benchmark.
Source: Quanscient News.
https://quanscient.com/news/quanscient-and-haiqu-announce-breakthrough-algorithm-for-scalable-computational-fluid-simulations-on-quantum-computers?hs_amp=true
-
2025-11-25:
MultiphysicsAI launched
(product)
. Quanscient released MultiphysicsAI, a workflow that turns Allsolve simulation data into AI-driven insights for faster design exploration and decision-making.
Source: Quanscient News.
https://quanscient.com/news/quanscient-launches-multiphysicsai-to-transform-engineering-design-workflows
BeyondMath
Website: beyondmath.com
BeyondMath develops a generative-physics AI platform that uses a foundational model trained on first-principles physics to accelerate engineering simulation and design validation.
Category: New category.
Funding stage: Seed.
Founded: 2022.
Country: United Kingdom.
Employees: 11-50 employees.
Landscape fit: It fits AI-native simulation because its core product is an AI model for physics/simulation that replaces or accelerates traditional solvers, enabling engineering-grade validation much faster than conventional workflows.
Funding rounds
-
Seed extension
announced 2026-02-01
: 10000000 USD
; investors: Cambridge Innovation Capital, UP.Partners, Insight Partners, InMotion Ventures
; source: BeyondMath
; https://beyondmath.com/news/seed-round-announcement
-
Seed
announced 2024-08-01
: 8500000 USD
; investors: UP.Partners, Insight Partners, InMotion Ventures
; source: PR Newswire
; https://www.prnewswire.com/news-releases/beyondmath-raises-8-5-million-to-revolutionize-physics-based-engineering-with-groundbreaking-ai-powered-simulation-platform-302226508.html
-
Seed
announced 2023-03-01
: 1850000 USD
; investors: UP.Partners, Creator Fund, ExFi, Garvey Asset Management
; source: Garfield Smith | Technology & Data Lawyers
; https://www.garfieldsmithlegal.com/news/beyondmath_to_fast_track_its_ai_technology_solutions-based_business.html
Company timeline
-
2026-04-01:
Senior Software Engineer opening posted
(hr)
. BeyondMath separately posted a hiring notice for a Senior Software Engineer in London.. Team size observed: 11-50 employees employees.
Source: LinkedIn.
https://www.linkedin.com/posts/beyondmath_hiring-activity-7443982621522620417-49TD
-
2026-04-01:
Hiring cluster announced across research, engineering, simulation, and technical account roles
(hr)
. BeyondMath posted that it was hiring a Senior AI Researcher, ML Engineer, Software Engineer, Simulation Engineer, and Technical Account Director, with more roles to come.. Team size observed: 11-50 employees employees.
Source: LinkedIn.
https://www.linkedin.com/posts/beyondmath_were-hiring-at-beyondmath-ai-has-transformed-activity-7435639046963351552-2Vml
-
2026-02-02:
Formula 1 aeromap case study deepens product proof
(gtm)
. BeyondMath published an F1 aeromap case study showing full-car transient simulations in under 100 seconds and positioning the product as a real-time exploration tool. ([beyondmath.com](https://beyondmath.com/case-studies/mastering-the-aeromap-1000x-faster-performance-discovery?utm_source=openai))
Source: BeyondMath website.
https://beyondmath.com/case-studies/mastering-the-aeromap-1000x-faster-performance-discovery
-
2026-02-01:
Broader vertical segmentation appears on the public site
(gtm)
. BeyondMath’s website expanded its industry framing to automotive, aerospace, energy, defense, semiconductors, construction, telecommunications, and electronics, indicating a widening ICP strategy. ([beyondmath.com](https://beyondmath.com/index.html))
Source: BeyondMath website.
https://beyondmath.com/
-
2026-02-01:
Workflow presentation becomes more enterprise-oriented
(product)
. BeyondMath’s technology page formalized the product workflow as upload, simulate, and analyze, and it highlighted real-time visualization plus integration into the rest of the workflow. ([beyondmath.com](https://beyondmath.com/technology?utm_source=openai))
Source: BeyondMath website.
https://beyondmath.com/technology
-
2026-02-01:
Seed extension
(funding)
. Amount: 10000000 USD. Investors: Cambridge Innovation Capital, UP.Partners, Insight Partners, InMotion Ventures
Source: BeyondMath.
https://beyondmath.com/news/seed-round-announcement
Luminary Cloud
Website: luminary.ai
Luminary Cloud provides a Physics AI platform that uses AI and GPU-native simulation to help engineering teams predict product performance, accelerate design exploration, and reduce reliance on slow traditional simulation workflows.
Category: New category.
Funding stage: Series B.
Founded: 2019.
Country: United States.
Employees: 51-200 employees.
Landscape fit: It fits the AI-native simulation category because its core product replaces or augments traditional engineering simulation with AI-driven physics prediction, fast design-space exploration, and simulation data generation for product development.
Funding rounds
-
Series B
announced 2025-09-01
: 72000000 USD
; investors: N47, Sutter Hill Ventures, NVentures
; source: Luminary Cloud
; https://luminary.ai/resources/luminary-cloud-secures-72m-series-b-to-lead-the-physics-ai-era/
-
Undisclosed
announced 2024-03-01
: 115000000 USD
; investors: Sutter Hill Ventures
; source: TechCrunch
; https://techcrunch.com/2024/03/13/luminary-clouds-simulator-taps-gpus-to-help-speed-up-product-design/
-
Series A
announced 2020-12-01
: 15000000 USD
; investors: Sutter Hill Ventures
; source: Forge Global
; https://forgeglobal.com/luminary-cloud_stock/
Company timeline
-
2026-06-01:
People leadership hire: Senior Director of Human Resources
(hr)
. Luminary's LinkedIn company updates say Angie Y. joined as Senior Director of Human Resources.. Team size observed: 51-200 employees employees.
Source: Luminary LinkedIn.
https://www.linkedin.com/company/luminarycloud
-
2026-06-01:
Hiring cluster spans engineering, GTM, product, and operations
(hr)
. Luminary posted a jobs slate with multiple open roles across Delivery Engineering, G&A, GTM, and Product Engineering on its Rippling careers page.. Team size observed: 51-200 employees employees.
Source: Luminary Jobs.
https://ats.rippling.com/luminarycloud/jobs
-
2026-05-01:
Welcomed a new multi-functional cohort of hires
(hr)
. Luminary posted that it welcomed 11 new Luminaries across engineering, product, operations, and GTM.. Team size observed: 51-200 employees employees.
Source: Luminary LinkedIn.
https://www.linkedin.com/company/luminarycloud
-
2026-04-14:
SHIFT-Crash extends the model suite into crashworthiness
(gtm)
. Luminary launched SHIFT-Crash for full-vehicle crash prediction, extending Physics AI into automotive crashworthiness and structural response.
Source: Luminary.
https://luminary.ai/resources/luminary-launches-shift-crash-first-physics-ai-model-for-full-vehicle-crash-prediction/
-
2026-04-14:
Launched SHIFT-Crash for full-vehicle crash prediction
(product)
. Luminary launched SHIFT-Crash, a Physics AI model that predicts full-vehicle crash response, including deformation and stress fields, in seconds. ([luminary.ai](https://luminary.ai/resources/luminary-launches-shift-crash-first-physics-ai-model-for-full-vehicle-crash-prediction/?utm_source=openai))
Source: Luminary Cloud.
https://luminary.ai/resources/luminary-launches-shift-crash-first-physics-ai-model-for-full-vehicle-crash-prediction/
-
2026-03-16:
NVIDIA GeoTransolver adoption improves model accuracy
(gtm)
. Luminary retrained its SHIFT portfolio on NVIDIA's GeoTransolver architecture, claiming up to 10x higher prediction accuracy for CFD applications.
Source: Luminary.
https://luminary.ai/resources/luminary-adopts-nvidia-geotransolver-ai-model-architecture-unlocking-up-to-10x-greater-accuracy-in-physics-ai/
NablaFlow
Website: nablaflow.io
NablaFlow is a Norwegian software company that provides cloud-based CFD and aerodynamic/wind simulation tools (including AeroCloud and ArchiWind) to help teams analyze and optimize product and urban designs. ([nablaflow.io](https://nablaflow.io/?utm_source=openai))
Category: New category.
Funding stage: Seed.
Founded: 2018.
Country: Norway.
Employees: 11-50 employees.
Landscape fit: It fits AI-native simulation because the company explicitly combines machine learning, automation, optimization, and cloud-based simulation to make aerodynamic and wind analysis accessible without specialized programming or infrastructure. ([nablaflow.io](https://nablaflow.io/about/?utm_source=openai))
Funding rounds
-
Seed
announced 2025-08-01
: 1100000 EUR
; investors: CDP Venture Capital, Plug and Play Tech Center, UniCredit, Fondazione di Modena, Artec Holding
; source: StartupBusiness
; https://www.startupbusiness.it/en/aerodynamics-and-wind-engineering-in-saas-nablaflow-receives-e1-1-million/147161/
Company timeline
-
2026-06-03:
KASK adopted AeroCloud for in-house helmet CFD iteration
(product)
. A 2026 case study showed KASK moving aerodynamic testing into AeroCloud, increasing simulations from 1-2 per month to 20-60 and reaching in-house autonomy in under a year.
Source: NablaFlow blog.
https://nablaflow.io/aerocloud/blog/how-kask-cut-their-design-cycle-from-a-week-to-hours-and-tested-20-more/
-
2026-06-03:
KASK success story shows in-house adoption and faster iteration
(gtm)
. NablaFlow published a helmet-design case study showing KASK moved AeroCloud work in-house and increased simulation throughput dramatically.
Source: NablaFlow.
https://nablaflow.io/aerocloud/blog/how-kask-cut-their-design-cycle-from-a-week-to-hours-and-tested-20-more/
-
2026-06-01:
Head of Sales role posted on careers page
(hr)
. NablaFlow publicly listed an open Head of Sales position on its careers page, with the role based in Stavanger and remote opportunity.. Team size observed: 11-50 employees employees.
Source: NablaFlow Careers.
https://nablaflow.io/careers/head-of-sales/
-
2026-04-15:
NEN 8100 support added to ArchiWind
(product)
. ArchiWind added full support for the NEN 8100 pedestrian wind comfort and safety standard alongside existing Lawson criteria.
Source: NablaFlow changelog.
https://nablaflow.io/archiwind/changelog/nen-8100-dutch-wind-comfort-standard/
-
2026-04-15:
ArchiWind adds NEN 8100 for Dutch compliance workflows
(gtm)
. NablaFlow launched NEN 8100 support in ArchiWind, adding a Dutch wind-comfort standard alongside existing Lawson criteria.
Source: NablaFlow.
https://nablaflow.io/archiwind/changelog/nen-8100-dutch-wind-comfort-standard/
-
2026-03-24:
Surfboard CFD content extends AeroCloud’s product-design story
(gtm)
. NablaFlow published a surfboard design article using CFD and DOE to show how AeroCloud can support more iterative product development.
Source: NablaFlow.
https://nablaflow.io/aerocloud/blog/investigating-surfboard-design-cfd-design-of-experiments/
DimensionLab
Website: dimensionlab.org
DimensionLab builds Siml.ai, an AI engineering platform for high-speed, physics-based simulation and virtual prototyping.
Category: New category.
Funding stage: Seed.
Founded: 2021.
Country: Slovakia.
Employees: 11-50 employees.
Landscape fit: It fits AI-native simulation because the company explicitly says it speeds up simulations with AI and aims to unlock real-time engineering simulation, redefine virtual prototyping, and build foundational models for engineering and science. ([dimensionlab.org](https://dimensionlab.org/))
Funding rounds
-
pre-seed
announced 2023-02-01
: 520000 GBP
; investors: Earlybird Uni-X, Speedinvest, Exxeta Ventures, angel investors
; source: Highperformr (citing UKTN)
; https://www.highperformr.ai/company/simlrs
Company timeline
-
2026-05-01:
Solutions Engineer opening posted
(hr)
. Dimension Labs posted a LinkedIn job listing for a Solutions Engineer in San Francisco, indicating an active customer-facing technical hire.. Team size observed: 11-50 employees employees.
Source: LinkedIn Jobs.
https://www.linkedin.com/jobs/view/solutions-engineer-at-dimension-labs-4394206079
-
2024-11-07:
DimensionLab launches PhysicsML papers hub
(gtm)
. DimensionLab published a featured papers hub for scientific machine learning and PhysicsML, highlighting research in turbulence, fluid mechanics, and geological carbon sequestration. ([dimensionlab.org](https://dimensionlab.org/papers?utm_source=openai))
Source: DimensionLab papers page.
https://dimensionlab.org/papers
-
2024-08-08:
v0.6 added expressions, datasets, and overview redesign
(product)
. Siml.ai v0.6 added SymPy expressions in constraint nodes, dataset-related workflow improvements, and a revamped Overview page.
Source: DimensionLab blog.
https://dimensionlab.org/blog/siml-ai-v0-6-expressions-in-constraints-datasets-and-ux-improvements/
-
2024-08-08:
Siml.ai v0.6 adds dataset focus and adoption incentives
(gtm)
. DimensionLab shipped Siml.ai v0.6 with UX improvements, constraint expressions, dataset handling enhancements, and an early-adopter offer that included extra trial time and credits. ([dimensionlab.org](https://dimensionlab.org/blog/siml-ai-v0-6-expressions-in-constraints-datasets-and-ux-improvements/?utm_source=openai))
Source: DimensionLab blog.
https://dimensionlab.org/blog/siml-ai-v0-6-expressions-in-constraints-datasets-and-ux-improvements/
-
2024-02-07:
v0.5 added visualization and onboarding improvements
(product)
. Siml.ai v0.5 added selective geometry rendering, a tutorial tour for the visual editor, and compute credits usage tracking.
Source: DimensionLab blog.
https://dimensionlab.org/blog/enter-siml-ai-v0-5
-
2023-11-21:
Compute credits introduced
(product)
. DimensionLab switched Siml.ai environments to a credits-based usage flow and added real-time billing visibility and Stripe checkout for top-ups.
Source: DimensionLab blog.
https://dimensionlab.org/blog/introducing-compute-credits
BQP (formerly BosonQ Psi)
Website: bqpsim.com
BQP builds a quantum-optimization and simulation platform for mission-critical engineering workflows, including physics-based simulation, optimization, and digital-twin use cases.
Category: New category.
Funding stage: Seed.
Founded: 2020.
Employees: 11-50 employees.
Landscape fit: It fits AI-Native Simulation because it targets faster, more accurate engineering simulation with new algorithms and quantum-inspired compute, aiming to improve time-to-solution for complex product-development workloads.
Funding rounds
-
Seed
announced 2025-07-01
: 5000000 USD
; investors: Monta Vista Capital, Empire State Development's New York Ventures, Arc Ventures, Armory Square Ventures, Emergent Ventures, Alumni Ventures, Arka Venture Labs, Transpose Platform, Gainangels, Pranatech Venture Capital, Paradigm Shift Capital, Griffiss Institute
; source: PR Newswire
; https://www.prnewswire.com/news-releases/bqp-raises-5m-oversubscribed-seed-round-following-pilot-agreement-with-air-force-research-lab-for-quantum-accelerated-digital-twin-platform-302507885.html
-
Seed-I
announced 2024-12-01
: 3020000 USD
; investors: Monta Vista Capital, Emergent Ventures, Armory Square Ventures, Alumni Ventures, Paradigm Shift Capital
; source: BQP
; https://www.bqpsim.com/news-press/technology-trend-2023
-
Pre-Seed
announced 2022-07-01
: 525000 USD
; investors: 3to1 Capital, Abhay Tandon, Vijay Sethi, Chandan Chowdhury, Saptroshi Hore, Neeraj Khandelwal, Ankur Jain, Vijay Rajagopal, Abhishek Sureka, Shankar Rachakonda, Anand Reddy
; source: Entrackr
; https://entrackr.com/2022/07/quantum-computing-startup-bosonq-psi-raises-pre-seed-round/
Company timeline
-
2026-06-01:
Quantum Computing Intern opening posted
(hr)
. BQP posted a live opening for a Quantum Computing Intern focused on quantum algorithms and physics-informed QML.. Team size observed: 11-50 employees employees.
Source: BQP on LinkedIn.
https://www.linkedin.com/posts/bqp-sim_%F0%9D%97%9B%F0%9D%97%B6%F0%9D%97%BF%F0%9D%97%B6%F0%9D%97%BB%F0%9D%97%B4-quantum-algorithms-tested-activity-7457376078190370816-JvOk
-
2026-06-01:
Careers page shows active founder-led hiring process
(hr)
. BQP’s careers page presents an active application flow, including direct founder review, screening, technical assignment, final interview, and offer steps.. Team size observed: 11-50 employees employees.
Source: BQP Careers.
https://www.bqpsim.com/career
-
2026-05-21:
BQP turns the message toward ROI and practical deployment
(gtm)
. BQP published ROI-focused and engineering-focused content framing quantum-inspired optimization as deployable today on existing HPC/GPU infrastructure.
Source: ROI of Quantum Optimization in Engineering.
https://www.bqpsim.com/blogs/roi-of-quantum-optimization
-
2026-03-23:
BQP formalizes a tool-integrated product motion with MATLAB access
(gtm)
. BQP launched native MATLAB access for BQPhy and promoted availability through MathWorks File Exchange, reducing workflow friction for engineers.
Source: Native MATLAB Access to BQPhy® for Quantum-Inspired Optimization in Aerospace and Defense.
https://www.bqpsim.com/quantum-optimization/matlab-access-to-bqphy
-
2025-12-23:
BQPhy for MATLAB launched on MathWorks File Exchange
(product)
. BQP released a native MATLAB integration for BQPhy, allowing engineers to run quantum-inspired optimization directly inside existing MATLAB workflows. ([bqpsim.com](https://www.bqpsim.com/press/hybrid-quantum-classical-workflow-for-digital-twin-and-cfd-simulation))
Source: BQP press.
https://www.bqpsim.com/press
-
2025-11-25:
Hybrid workflow demo with Classiq and NVIDIA
(product)
. BQP, Classiq, and NVIDIA announced a joint demonstration combining BQP’s VQLS implementation, Classiq’s circuit synthesis, and NVIDIA CUDA-Q for CFD and digital-twin workloads. ([bqpsim.com](https://www.bqpsim.com/press/hybrid-quantum-classical-workflow-for-digital-twin-and-cfd-simulation))
Source: BQP press.
https://www.bqpsim.com/press/hybrid-quantum-classical-workflow-for-digital-twin-and-cfd-simulation
deepmath
Website: deepmath.tech
deepmath is a deep-tech startup founded in 2023 that builds AI-enhanced engineering simulation tools and services, including an AI-powered intelligent mesh generator for CAE/CFD and multiphysics workflows. ([deepmath.tech](https://deepmath.tech/?utm_source=openai))
Category: New category.
Founded: 2023.
Country: France.
Employees: 2-10 employees.
Landscape fit: It fits AI-Native Simulation because its core product is AI-enhanced engineering simulation, with a focus on accelerating CFD, FEM, mesh generation, surrogate modeling, and digital-twin workflows for engineering design. ([deepmath.tech](https://deepmath.tech/?utm_source=openai))
Company timeline
-
2026-03-01:
Hiring cluster for three R&D roles
(hr)
. deepmath announced it was entering a new phase and opening three positions: AI R&D Engineer, Computational Geometry Engineer, and a Brazil-based remote internship.. Team size observed: 2-10 employees employees.
Source: LinkedIn.
https://fr.linkedin.com/company/deepmath
-
2026-02-01:
Computational geometry role adds dataset-generation pipeline work
(product)
. deepmath opened a Computational Geometry Engineer role focused on geometry processing and large-scale dataset generation for intelligent mesh generation.
Source: deepmath Computational Geometry Specialist PDF.
https://deepmath.tech/wp-content/uploads/deepmath-offer_CompGeo-2026-02.pdf
-
2026-02-01:
Hiring expands around deepmesh infrastructure and commercialization
(gtm)
. deepmath posted 2026 openings for AI R&D and computational geometry roles, plus a Brazil internship, all explicitly tied to deepmesh and dataset/geometry pipeline development.
Source: deepmath.
https://deepmath.tech/wp-content/uploads/deepmath-offer_AI-2026-02.pdf
-
2026-02-01:
AI R&D Engineer role posted for early 2026 start
(hr)
. deepmath published a job offer for an AI R&D Engineer position starting in January or February 2026.. Team size observed: 2-10 employees employees.
Source: deepmath.tech.
https://deepmath.tech/wp-content/uploads/2025/12/deepmath-IA_job2025.pdf
-
2025-12-01:
AI R&D role emphasizes deepmesh model development
(product)
. deepmath posted an AI R&D Engineer role for improving deepmesh with graph neural networks, transformer architectures, training pipelines, and optimization.
Source: deepmath AI R&D Engineer PDF.
https://deepmath.tech/wp-content/uploads/2025/12/deepmath-IA_job2025.pdf
-
2025-12-01:
deepmesh becomes the flagship software wedge
(gtm)
. deepmath’s public positioning now makes deepmesh the central product story: an AI-powered intelligent mesh generator for CAE and CFD that removes a major preprocessing bottleneck.
Source: deepmath.
https://deepmath.tech/
Vinci
Website: getvinci.ai
Vinci builds physics-based AI software for hardware design and simulation, using a foundation model to run manufacturing-resolution simulations much faster than traditional FEA tools. ([getvinci.ai](https://www.getvinci.ai/))
Category: New category.
Funding stage: Series A.
Founded: 2023.
Country: United States.
Employees: 51-200 employees.
Landscape fit: It fits AI-native simulation because the product is a physics AI foundation model that replaces or accelerates legacy simulation workflows with fast, solver-accurate predictions for hardware and semiconductor design. ([getvinci.ai](https://www.getvinci.ai/))
Funding rounds
-
Series A
announced 2025-12-01
: 36000000 USD
; investors: Xora Innovation, Khosla Ventures, Eclipse
; source: Reuters via Yahoo Finance
; https://finance.yahoo.com/news/software-firm-vinci-speeds-hardware-130649208.html
-
Seed
announced 2025-12-01
: 10000000 USD
; investors: Eclipse, Khosla Ventures
; source: Business Wire
; https://www.businesswire.com/news/home/20251202284985/en/Vinci-Emerges-from-Stealth-to-Transform-Semiconductor-Design-and-Simulation
Company timeline
-
2026-05-13:
Release 1.24 improved material characterization visibility and thermal setup controls
(product)
. Vinci Release 1.24 added material-layer visualization, more flexible X/Y resolution and element-size controls, and workflow refinements across setup, progress reporting, and result review.
Source: Vinci blog.
https://www.getvinci.ai/blog/vinci-release-1-24-more-visibility-into-material-characterization-workflows/
-
2026-05-01:
Vinci posted two open engineering roles
(hr)
. Vinci published a hiring post recruiting for a CFD Engineer and a Geometry / Meshing Engineer, with application links in the comments.. Team size observed: 51-200 employees employees.
Source: LinkedIn Vinci4D.ai hiring post.
https://www.linkedin.com/posts/vinci4d-ai_want-to-join-a-team-thats-creating-category-defining-activity-7425323522501120000-zYLJ
-
2026-04-01:
Manufacturing-resolution thermal and warpage analysis for 2.5D HBM packages
(gtm)
. Vinci published a second 2026 research piece demonstrating deterministic thermal and warpage analysis for advanced 2.5D HBM packages.
Source: Vinci Research.
https://www.getvinci.ai/research/deterministic-solver-accurate-thermal-and-warpage-analysis-at-manufacturing-resolution-for-advanced-2-5d-hbm-packages/
-
2026-04-01:
Floorplanning-speed thermal simulation for 2.5D AI accelerator packages
(gtm)
. Vinci published research showing manufacturing-resolution thermal simulation for 2.5D AI accelerator packages at floorplanning timescales.
Source: Vinci Research.
https://www.getvinci.ai/research/full-fidelity-thermal-simulation-at-floorplanning-speed-for-2-5d-ai-accelerator-packages/
-
2026-04-01:
Continuous physics reasoning framework published
(gtm)
. Vinci published a research framework defining continuous physics reasoning and a minimum standard for foundation models for physics.
Source: Vinci Research.
https://www.getvinci.ai/research/continuous-physics-reasoning-definition-minimum-criteria-and-the-role-of-foundation-models-for-physics/
-
2026-02-24:
Thermo-mechanical warpage capability launched
(gtm)
. Vinci announced a second core physics capability for thermo-mechanical simulation, expanding from thermal analysis into warpage and stress prediction.
Source: Vinci press release.
https://www.getvinci.ai/news/vinci-ships-production-grade-thermo-mechanical-simulation-at-manufacturing-scale/
Neural Concept
Website: neuralconcept.com
Neural Concept is an AI-first engineering platform that embeds physics-aware intelligence into CAD and simulation workflows to help teams design, optimize, and validate products faster.
Category: New category.
Funding stage: Series B.
Founded: 2018.
Country: Switzerland.
Employees: 51-200 employees.
Landscape fit: It fits AI-native simulation because its platform uses physics- and geometry-aware AI to augment engineering design and simulation workflows, helping industrial teams optimize complex products faster with fewer iterations. ([neuralconcept.com](https://www.neuralconcept.com/post/neural-concept-closes-100m-funding-round-led-by-growth-equity-at-goldman-sachs-alternatives-to-scale-ai-native-engineering))
Funding rounds
-
Series C
announced 2025-12-01
: 100000000 USD
; investors: Goldman Sachs Alternatives, Forestay Capital, Alven, HTGF, D.E. Shaw Ventures, Aster Capital
; source: PR Newswire
; https://www.prnewswire.com/news-releases/neural-concept-closes-100m-funding-round-led-by-growth-equity-at-goldman-sachs-alternatives-to-scale-ai-native-engineering-302645941.html
-
Series B
announced 2024-06-01
: 27000000 USD
; investors: Forestay Capital, D. E. Shaw group, Alven, CNB Capital, High-Tech Gründerfonds, Aster Capital
; source: Business Wire
; https://www.businesswire.com/news/home/20240531755430/en/Engineering-AI-Platform-Neural-Concept-Raises-%2427-Million-Series-B-to-Further-Accelerate-Global-Growth
-
Series B
announced 2024-05-01
: 27000000 USD
; investors: Forestay Capital, D. E. Shaw Group, Alven, CNB Capital, HTGF, Aster Group
; source: Business Wire
; https://www.businesswire.com/news/home/20240531755430/en/Engineering-AI-Platform-Neural-Concept-Raises-%2427-Million-Series-B-to-Further-Accelerate-Global-Growth
-
Series A
announced 2022-03-01
: 9100000 USD
; investors: Alven, Aster, CNB Capital, HTGF
; source: HTGF
; https://www.htgf.de/en/htgf-neural-concept-series-a/
-
Seed
announced 2020-01-01
: 2000000 USD
; investors: Constantia New Business, High-Tech Gründerfonds
; source: Neural Concept
; https://www.neuralconcept.com/post/neural-concept-raises-27-million-series-b-to-further-accelerate-global-growth
Company timeline
-
2026-06-01:
First APAC office opened in Seoul
(hr)
. Neural Concept said it opened its first APAC office in Seoul and that the Korean team is growing fast. ([linkedin.com](https://www.linkedin.com/company/neuralconcept)). Team size observed: 51-200 employees employees.
Source: Neural Concept LinkedIn company post.
https://www.linkedin.com/company/neuralconcept
-
2026-05-01:
VP of Engineering opening
(hr)
. Neural Concept posted a VP of Engineering role in Lausanne. ([linkedin.com](https://www.linkedin.com/jobs/view/4397038859/?utm_source=openai)). Team size observed: 51-200 employees employees.
Source: LinkedIn job post.
https://www.linkedin.com/jobs/view/4397038859/
-
2026-05-01:
Hiring cluster and multiple new joiners
(hr)
. Neural Concept posted that several new people joined across Germany, South Korea, the United States, and Switzerland, and said it is actively building the U.S. team with open roles linked in the post. ([linkedin.com](https://www.linkedin.com/company/neuralconcept?utm_source=openai)). Team size observed: 51-200 employees employees.
Source: Neural Concept LinkedIn company post.
https://www.linkedin.com/company/neuralconcept
-
2026-03-01:
Talent Acquisition Specialist - GTM opening
(hr)
. Neural Concept posted a Talent Acquisition Specialist - GTM role in Jersey City. ([linkedin.com](https://www.linkedin.com/jobs/view/talent-acquisition-specialist-gtm-at-neural-concept-4352030660?utm_source=openai)). Team size observed: 51-200 employees employees.
Source: LinkedIn job post.
https://www.linkedin.com/jobs/view/talent-acquisition-specialist-gtm-at-neural-concept-4352030660
-
2026-02-24:
Antolin partnership scaled from pilot to broader rollout
(gtm)
. Neural Concept announced a strategic partnership with Antolin, saying a successful 2024 pilot had led to scaling across key product lines.
Source: Neural Concept.
https://www.neuralconcept.com/post/antolin-and-neural-concept-join-forces-to-redefine-automotive-interior-design-with-ai-driven-engineering
-
2026-02-01:
ML platform deployment engineer opening
(hr)
. Neural Concept posted a remote ML Platform Deployment Engineer role for the European Union. ([linkedin.com](https://www.linkedin.com/jobs/view/ml-platform-deployment-engineer-remote-at-neural-concept-4229138695?utm_source=openai)). Team size observed: 51-200 employees employees.
Source: LinkedIn job post.
https://www.linkedin.com/jobs/view/ml-platform-deployment-engineer-remote-at-neural-concept-4229138695
