Digital Twin Startup Funding 2022-2026
In our digital twin market deck, you will find everything you need to understand the market
SUMMARY
This report analyzes publicly disclosed equity rounds raised by pure-play digital twin companies between August 2025 and July 2026, using a strict definition of the digital twin market. We only kept rounds of $300K or more, and excluded standalone 3D models, generic dashboards, unsynchronized simulations, avatars, grants, debt, and undisclosed rounds.
Over this period, fundraising in the digital twin market was narrow but meaningful. The dataset includes 10 disclosed equity deals and $388.8M raised across 10 unique companies.
Capital in the digital twin market was heavily concentrated. The top deal alone represented 19.03% of total capital, the top 3 deals reached 52.16%, and the top 5 reached 79.68%.
The digital twin market was shaped by scale rounds rather than a broad seed wave. Five of the 10 disclosed deals were above $50M, while only one deal was below $5M.
The median round size was $40.5M, and the average round size was $38.88M. This is high for a small disclosed sample, which suggests the visible market is tilted toward validated companies.
Deal flow was lumpy rather than steady. The market averaged 0.91 disclosed deals per month, while March 2026 alone produced 4 of the 10 rounds.
Process Twin Applications led by deal count, with 4 deals and $126.0M raised. Building Twin Software had only 1 deal, but that deal alone represented $74.0M.
North America dominated the digital twin market. It captured 8 of the 10 disclosed deals and $313.4M, or 80.61% of total capital.
The market looked more late-stage than early-stage. Seed and Series A rounds represented 4 deals, but only 17.34% of total capital.
Repeat investors were rare. NVentures was the only investor appearing in more than one qualifying disclosed round, through PassiveLogic and ThinkLabs AI.
This market map, featured in our digital twin market deck, highlights top companies and startups in the digital twin market
What are all the funding deals in the digital twin market from August 2025 to July 2026?
The table below lists every disclosed equity round raised by pure-play digital twin companies between August 2025 and July 2026. We count as “pure-play” digital twin companies those focused on creating and maintaining synchronized digital representations of real-world assets, systems, or processes for monitoring, simulation, and optimization.
Each row shows the company, what it does, its category, the deal date, the funding stage, the round size, the region, the main investors, and the announcement source. For a wider view of how digital twins fit inside physical AI, infrastructure, industrial systems, and healthcare simulation, we cover it in our Digital Twin market report.
| Company | What they do | Category | Date | Stage | Deal size | Region | Main investors | Source |
|---|---|---|---|---|---|---|---|---|
| Twin Health | AI digital twin for metabolic health | Process Twin Applications | Aug 2025 | Series D+ | $53M | North America | Maj Invest | Twin Health |
| PassiveLogic | Autonomous digital twins for buildings | Building Twin Software | Sep 2025 | Series C | $74M | North America | noa; Prologis Ventures; Johnson Controls; PSP Growth; NVentures | PR Newswire |
| Parallax Worlds | Digital twins for robot stress-testing | Factory Twin Software | Nov 2025 | Seed | $4M | North America | Undisclosed | SiliconANGLE |
| Sim&Cure | Patient-specific neurovascular procedure twins | Process Twin Applications | Nov 2025 | Unknown | $11.6M | Europe | Elaia | Sim&Cure |
| Neara | Physics-enabled infrastructure digital twins | Infrastructure Twin Systems | Feb 2026 | Series D+ | $63.8M | Asia-Pacific | TCV | Neara |
| Axiamatic | Live enterprise transformation twins | Process Twin Applications | Mar 2026 | Unknown | $54M | North America | Greylock Partners; Bessemer Venture Partners | Axiamatic |
| Mantis Biotech | Human-body digital twin models | Process Twin Applications | Mar 2026 | Seed | $7.4M | North America | Decibel VC; Y Combinator; Liquid 2 Ventures | TechCrunch |
| ThinkLabs AI | AI grid simulation digital twins | Infrastructure Twin Systems | Mar 2026 | Series A | $28M | North America | Energy Impact Partners; NVentures; Edison International; GE Vernova; Powerhouse Ventures; Active Impact Investments; Blackhorn Ventures; Amplify Capital | VentureBeat |
| Antaris | Satellite lifecycle digital twins | Asset Twin Platforms | Mar 2026 | Series A | $28M | North America | WestWave Capital; Lockheed Martin Ventures | Antaris |
| JuliaHub | Industrial system digital twin platform | Asset Twin Platforms | Apr 2026 | Series B | $65M | North America | Dorilton Ventures; General Catalyst; AE Ventures; Bob Muglia | JuliaHub |
In our digital twin market deck, we identify pain points entrepreneurs should prioritize
OUR METHODOLOGY TO BUILD THIS TRACKER
We built this digital twin funding tracker by reviewing every publicly disclosed equity round raised by pure-play digital twin companies between August 2025 and July 2026. A company counts as pure-play when more than 80% of its activity is dedicated to digital twin software, digital twin applications, or implementation services that synchronize a twin with real operational data.
We applied four filters to build the dataset. First, we only included equity rounds, so grants, debt, and non-equity financing are excluded. Second, we only counted rounds of $300K or more. Third, we only kept pure-play digital twin companies. And fourth, every entry had to be confirmed by a direct company announcement, a press release, or a tier-1 media report, with the source URL preserved for every row.
The final dataset contains 10 disclosed deals across 10 unique companies, and every average, median, share, and concentration ratio is computed on that disclosed sample. Privately raised rounds that were never publicly announced are necessarily missing, which is a known limitation of any public-only digital twin funding tracker.
How active has fundraising been in the digital twin market?
As of July 2026, fundraising in the digital twin market has been narrow but meaningful. Over the past 4 years, companies raised 10 disclosed equity rounds and $388.8M combined, which works out to 0.91 deals per month.
The number of companies also shows a compact market. The 10 disclosed deals were raised by 10 unique companies, so the dataset does not show repeat fundraising during the period.
Monthly activity in the digital twin market was very uneven. March 2026 alone produced 4 deals and $117.4M, while October 2025, December 2025, January 2026, May 2026, and June 2026 had no qualifying disclosed rounds.
Capital outside large rounds is limited. Removing rounds above $50M leaves only $79.0M, which means most visible funding came from mature companies rather than a wide base of smaller financings.
If you want to go deeper on the companies behind this activity, see our market report covering digital twin funding.
How concentrated has fundraising been in the digital twin market?
As of July 2026, fundraising in the digital twin market has been highly concentrated at the top. Over the past 4 years, the largest deal represented 19.03% of total capital, the top 3 deals reached 52.16%, and the top 5 reached 79.68%.
The largest round was PassiveLogic’s $74M Series C. It gave Building Twin Software the strongest capital-share-to-deal-share ratio in the dataset, even though the category had only one deal.
The top 3 deals came from different use cases: buildings, industrial systems, and infrastructure. That matters because concentration did not come from one dominant application, but from several high-cost physical systems.
This means total capital should not be read as broad market depth. A small number of validated platforms drove most of the dollars in the digital twin market.
How much of the digital twin funding signal is driven by outliers?
As of July 2026, a large share of the digital twin funding signal is driven by outliers. Over the past 4 years, 5 of the 10 disclosed rounds were above $50M and represented most of the market’s disclosed capital.
The outlier effect is easy to see in the capital excluding rounds above $50M. Total disclosed funding was $388.8M, but excluding those larger rounds leaves only $79.0M.
There were no rounds above $100M, so the digital twin market is not showing hyper-scale financing patterns. Instead, it is a market of strong scale rounds between roughly $50M and $75M.
This distinction matters. The market has credible scale-up companies, but it does not yet resemble a category with many massive platform financings.
This chart, included in our digital twin market deck, breaks down Neara's playbook in digital twins
Is the digital twin market broad with many targets, or narrow with few fundable companies?
As of July 2026, the digital twin market looks narrow rather than broad. Over the past 4 years, only 10 unique companies raised qualifying disclosed equity rounds.
The disclosed sample includes several strong verticals, but not a long tail of companies. Buildings, infrastructure, satellites, industrial systems, clinical procedures, human-body models, enterprise transformations, and robot testing all appear, but each with few companies.
The small sample does not mean digital twin adoption is small. It means the pure-play venture-backed funding layer is narrow when filtered for disclosed equity rounds, synchronized operational data, and real twin functionality.
That distinction is important for market interpretation. Digital twin tools may be widely adopted inside enterprises, but disclosed pure-play startup funding remains concentrated. For a broader view of the category boundaries, see our deeper analysis of the digital twin market.
Is digital twin mostly an early-stage formation market or a late-stage scaling market?
As of July 2026, the digital twin market behaves more like a late-stage scaling market than an early-stage formation market. Over the past 4 years, late-stage and scale rounds represented $321.4M, or 82.66% of disclosed capital.
Early-stage rounds, defined as Seed and Series A, produced 4 deals and $67.4M. That is 40% of deal count, but only 17.34% of total capital.
Seed rounds were especially small in dollar terms. Parallax Worlds and Mantis Biotech together raised $11.4M, which represented only 2.93% of disclosed capital.
Series B, Series C, Series D+, and Unknown scale rounds carried most of the market. This suggests digital twin investors reward deployment evidence, domain validation, and credible integration with real-world systems.
We cover the stage mix and investor logic in more detail in our full market deck on digital twin startups.
Which categories attract the most investor attention in digital twin?
As of July 2026, Process Twin Applications attracted the most investor attention in the digital twin market by deal count. Over the past 4 years, the category produced 4 deals and $126.0M, equal to 40.00% of deals and 32.41% of capital.
Process Twin Applications was broad inside the dataset. It included metabolic health, neurovascular procedures, enterprise transformation programs, and human-body modeling.
Asset Twin Platforms followed with 2 deals and $93.0M, while Infrastructure Twin Systems also had 2 deals and $91.8M. These categories show investor interest in both asset-level testing and network-level operational optimization.
Building Twin Software had only one deal, but PassiveLogic’s $74M Series C made it a major capital category. Factory Twin Software also had one deal, but Parallax Worlds’ $4M seed round kept the category early.
This chart, included in our digital twin market deck, shows annual funding in digital twin startups
Which categories attract disproportionately large checks in the digital twin market?
As of July 2026, Building Twin Software attracted the most disproportionately large checks in the digital twin market. Over the past 4 years, it had one deal, but that deal represented 19.03% of total capital.
The category’s capital-share-to-deal-share ratio was 1.90, the highest in the dataset. PassiveLogic’s $74M round shows that credible building autonomy and digital twin infrastructure can absorb scale capital.
Asset Twin Platforms and Infrastructure Twin Systems also punched above their deal share. Their ratios were 1.20 and 1.18, which means investors wrote larger checks into those categories than their deal counts alone suggest.
Factory Twin Software had the weakest check-size signal, with a ratio of 0.10. Robotics stress-testing is visible, but still early under this strict disclosed funding lens.
Which geographies matter most for fundraising in the digital twin market?
As of July 2026, North America mattered most for fundraising in the digital twin market. Over the past 4 years, North America captured 8 of 10 deals and $313.4M, or 80.61% of total disclosed capital.
North America’s lead was not caused by one single outlier. The region had multiple large rounds, including PassiveLogic, JuliaHub, Axiamatic, Twin Health, ThinkLabs AI, and Antaris.
Asia-Pacific ranked second by capital because of Neara’s $63.8M Series D. That single deal represented 16.41% of the market’s disclosed capital.
Europe had one qualifying round, Sim&Cure’s $11.6M Series extension. That gave Europe 10.00% of deal count but only 2.98% of disclosed capital.
For more context on where digital twin funding is clustering, explore our market report on digital twin geography and categories.
Is the digital twin opportunity set broad or concentrated in one hub?
As of July 2026, the digital twin opportunity set is concentrated in North America, with smaller signals from Asia-Pacific and Europe. Over the past 4 years, North America alone held 80.00% of deals and 80.61% of capital.
Asia-Pacific’s role was quality-weighted rather than broad. Neara’s infrastructure digital twin round was large, but it was the only qualifying Asia-Pacific deal in the dataset.
Europe was present but underrepresented. Sim&Cure qualified because its patient-specific neurovascular simulation is tied to a real clinical procedure twin, but no other European round passed the strict screen.
Latin America, the Middle East, and Africa had no qualifying disclosed equity rounds. Under this methodology, the visible digital twin funding market is not geographically broad.
This chart, included in our digital twin market deck, compares the main business model options for digital twin enterprise software platforms
Is digital twin a market of small experiments or scaled financings?
As of July 2026, the digital twin market is more a market of scaled financings than small experiments. Over the past 4 years, 5 of 10 disclosed rounds were $50M or larger.
The round-size distribution is top-heavy. There was 1 deal below $5M, 2 deals from $5M to $20M, 2 deals from $20M to $50M, and 5 deals above $50M.
The median round size was $40.5M, and the average was $38.88M. The two measures are close because the dataset has large rounds, but no extreme $100M-plus megaround.
This makes the digital twin market different from categories driven by many small pilots. The visible funding layer rewards companies that can attach simulation to expensive, operationally important systems.
If you want to understand which applications are moving beyond pilots, check our digital twin market report covering scaled use cases.
Who are the investors that appear the most in digital twin fundraising?
As of July 2026, repeat investors were rare in digital twin fundraising. Over the past 4 years, NVentures was the only investor appearing in more than one qualifying disclosed deal.
NVentures appeared in PassiveLogic and ThinkLabs AI. That links one building autonomy platform with one grid simulation platform, both tied to real-world physical systems.
Most other investors appeared only once. The dataset includes strong domain or strategic investors such as Lockheed Martin Ventures, Edison International, GE Vernova, Johnson Controls, Prologis Ventures, and Dorilton Ventures.
This pattern matters because digital twin credibility often depends on domain access. Investors close to infrastructure, energy, buildings, aerospace, and industrial systems can validate more than the software story.
One caveat is important. Round announcements usually disclose total round size, not individual investor check size, so investor presence should be read as participation rather than exact capital committed.
This chart, featured in our digital twin market deck, illustrates how revenue is divided among customer segments in the digital twin market
INSIGHTS
The insights below come from reviewing every disclosed equity round in the digital twin market between August 2025 and July 2026. They are not row-by-row summaries. They are the reusable patterns that kept showing up across the 10-deal dataset, and they are meant to stay useful when reading any future digital twin funding announcement.
- The digital twin market is not broad at the disclosed pure-play funding layer. Only 10 verified equity rounds cleared the strict screen, which means venture-backed formation remains narrow even if enterprise adoption is larger.
- Capital concentration is the central reading rule for this market. Five rounds above $50M represented 79.68% of disclosed capital, so total funding should always be separated from normal round activity.
- The largest rounds did not cluster in one application. Buildings, industrial systems, infrastructure, healthcare, and enterprise transformation all produced meaningful rounds, which suggests the market is verticalizing rather than consolidating around one killer use case.
- The absence of $100M-plus rounds matters. The digital twin market has scale-up credibility, but it has not yet reached the hyper-scaling financing pattern seen in foundation models or humanoid robotics.
- The $40.5M median round size is high for a 10-deal market. That suggests the visible dataset captures companies that have already crossed a technical or deployment threshold.
- Seed activity exists, but it does not define the market. Seed rounds represented 20.00% of deals and only 2.93% of capital, so new formation is small in dollar terms.
- The strongest digital twin companies are not selling visualization. They are selling operational decision loops that combine monitoring, simulation, and optimization.
- Credible technical claims usually rely on physics, controls, validated operational data, or domain-specific models. A digital twin becomes valuable when it can test consequences, not just represent an object.
- The market rewards expensive failure domains. Investors backed twins for buildings, grids, satellites, industrial systems, clinical procedures, and human biology because mistakes in those systems are costly.
- Building Twin Software had the highest capital-share-to-deal-share ratio. PassiveLogic’s $74M round shows that building automation can absorb large checks when the product connects the twin to control.
- Factory Twin Software remains early under this screen. Parallax Worlds shows visible interest in robot stress-testing, but the category has not yet produced scale-round evidence.
- Asset Twin Platforms and Infrastructure Twin Systems are almost equal in capital. This suggests investors are backing both asset-level engineering twins and network-level operational twins.
- North America dominates the disclosed market. It held about 80% of both deals and capital, which reflects where most qualifying venture-backed announcements appeared.
- Asia-Pacific’s signal is quality-weighted rather than broad. Neara alone gave the region a meaningful capital share, but the dataset does not show a wide APAC deal base.
- Europe appears underrepresented despite its industrial relevance. The strict funding lens found only Sim&Cure, which suggests European activity may be hidden in corporates, services, or undisclosed rounds.
- The absence of Twin Implementation Services is meaningful. Investors backed productized platforms and applications, not service-heavy implementation shops.
- The category boundary is increasingly blurred with AI. The strongest qualifying companies still anchor their AI to a real-world asset, body, grid, building, satellite, process, or mission.
- A future digital twin round should be judged by the decision it improves. The key question is whether the twin makes a real-world action faster, safer, cheaper, or more accurate.
- Strategic and domain investors deserve extra weight in this market. Lockheed Martin Ventures, Edison International, GE Vernova, Johnson Controls, and Prologis Ventures can validate deployment relevance beyond financial sponsorship.
- The digital twin market is structurally attractive but not commoditized. Defensible companies need deep domain coupling, synchronized data, and simulation fidelity, not just a generic twin interface.
Twin Health (Series E funding), PR Newswire (PassiveLogic Series C), SiliconANGLE (Parallax Worlds seed), Sim&Cure (Series extension), Neara (Series D), Axiamatic ($54M raise), TechCrunch (Mantis Biotech seed), VentureBeat (ThinkLabs AI Series A), Antaris (Series A), JuliaHub (Series B)
Related blog posts
- All funding deals in the digital twin market
- Which startups have raised the most funding in the digital twin market?
- Which startups are the most valued in the digital twin market?
