Algorized

Cover Block

PUBLIC

Field	Value
Name	Algorized
Tagline	People-sensing edge-AI foundational model for human-machine interaction using wireless sensors (UWB, mmWave, Wi-Fi)
Headquarters	Switzerland
Stage	Series A
Business Model	API / Developer Platform
Industry	Deeptech
Technology Type	AI / Machine Learning
Geography	Western Europe
Growth Profile	Venture Scale
Funding Label	$10M+
Total Disclosed	~$17.3M

Links

PUBLIC

• Website: https://www.algorized.com/
• LinkedIn: https://www.linkedin.com/company/algorized
• Crunchbase: https://www.crunchbase.com/organization/algorized
• PitchBook: https://pitchbook.com/profiles/company/466138-90

Executive Summary

PUBLIC

Algorized is a Swiss deep-tech company building what it calls a people-sensing edge-AI foundational model, software that turns commodity wireless sensors (Ultra-Wideband, mmWave, Wi-Fi) into systems capable of detecting, tracking, and monitoring humans in physical environments [Algorized]. The thesis investors are being asked to underwrite is that the sensing layer for physical AI, robots, vehicles, factories, retail spaces, will be defined less by new silicon and more by the algorithms that interpret signals from the radios already in those devices [Venturelab]. The company has disclosed roughly $17.3 million in total funding across a $4.3 million seed led by the Amazon Industrial Innovation Fund and a $13 million Series A announced alongside its CES 2026 debut with KUKA and ASUS [Algorized; Venturelab]. CEO Natalya Lopareva, previously founder and CEO of ARHUB, an AI technologies company she ran from 2016 to 2023, also led the Swiss National Startup Team at MWC25, a signal of the company's standing inside the Swiss innovation ecosystem [Clay; Algorized]. Product positioning centers on a software-only upgrade path: customers do not need to swap hardware to add presence detection, positioning, or vital-signs monitoring through obstacles [Algorized]. Commercial proof points cited by the company include partnerships with Qorvo (UWB Partner Program, CES 2024), MassRobotics, ASUS IoT (2025), and ARIA Sensing (March 2026, automotive child presence detection) [Qorvo; Algorized; ASUS Pressroom, 2025; Aria Sensing, 2026]. Over the next 12 to 18 months the items worth tracking are the conversion of those partnerships into revenue-bearing automotive and industrial design wins, the build-out of a US engineering presence implied by open roles, and the emergence of competitive responses from incumbent radar-software vendors.

Data Accuracy: GREEN -- Funding totals, partnerships, and CEO background corroborated across Algorized press releases, Venturelab, Crunchbase, and PitchBook.

Taxonomy Snapshot

Axis	Value
Stage	Series A
Business Model	API / Developer Platform
Industry / Vertical	Deeptech, sensing software for automotive, robotics, retail, semiconductors
Technology Type	AI / Machine Learning, edge inference on wireless sensor data
Geography	Western Europe (Switzerland HQ), expanding US footprint
Growth Profile	Venture Scale
Funding	~$17.3M disclosed across Seed and Series A

Company Overview

PUBLIC

Algorized was founded on academic research into wireless sensing and positioned itself from the outset as a software platform rather than a hardware vendor, a distinction that shapes everything from its go-to-market motion to its capital intensity [Algorized]. The company is headquartered in Switzerland and describes itself in its careers materials as "a fast-growing deep tech startup building software platform for people positioning and sensing" using algorithms and edge machine learning that run on commercially available communication sensors, with Ultra-Wideband radar called out as a primary modality [Algorized]. Founding date is not disclosed in the captured public sources.

The public milestone trail begins with the seed announcement of $4.3 million led by the Amazon Industrial Innovation Fund, framed as funding to drive innovation in people-sensing for safer human-machine interaction [Algorized]. Subsequent milestones include joining the Qorvo UWB Partner Program (announced around CES 2024), joining MassRobotics to expand pilot programs at the intersection of automation and human presence, an ASUS IoT strategic partnership announced in 2025 to advance edge AI and perception for AIoT, presentation at VivaTech 2025, leadership of the Swiss National Startup Team at MWC25 by CEO Natalya Lopareva, and a $13 million Series A tied to a CES 2026 launch with KUKA and ASUS [Qorvo; Algorized; ASUS Pressroom, 2025; Venturelab]. In March 2026 the company announced a strategic collaboration with ARIA Sensing focused on AI-powered UWB radar for automotive child presence detection, a use case driven by emerging regulatory mandates [Aria Sensing, 2026].

Legal entity details (Swiss AG or Sàrl registration, founding shareholders) are not publicly available in the captured sources, and prospective investors should request company-secretary documentation directly.

Data Accuracy: GREEN -- Milestones cross-referenced across Algorized's news page, Qorvo, ASUS Pressroom, ARIA Sensing, Venturelab, and Crunchbase.

Product and Technology

MIXED

Algorized's product is described publicly as an AI software platform that ingests signals from off-the-shelf wireless sensors (UWB radar, mmWave, Wi-Fi) and outputs higher-order inferences about people in a space: presence detection, tracking and positioning, and vital-signs monitoring including breathing, even through obstacles [PUBLIC] [Algorized; Crunchbase]. The company's framing is that the same radios already designed into cars, consumer devices, and industrial equipment can be re-purposed for human sensing through what it calls "a software-only upgrade to existing commodity sensors" [PUBLIC] [Algorized]. The Series A announcement extended this positioning to what the company terms an "edge-native nervous system for physical AI," emphasizing on-device inference rather than cloud round-trips [PUBLIC] [Algorized].

Technically, the platform is presented as combining proprietary machine-learning models with sensor fusion across multiple radio modalities [PUBLIC] [Algorized; LinkedIn]. The Qorvo UWB Partner Program membership indicates integration work specifically against Qorvo's UWB silicon, while the ARIA Sensing collaboration adds a radar-hardware partner targeting automotive child presence detection, a category increasingly subject to safety regulation in Europe [PUBLIC] [Qorvo; Aria Sensing, 2026]. Open engineering roles in the United States for a Software Engineer and a Software Engineer Architect suggest the team is staffing platform and architecture work in North America, although specific stack details (model architectures, inference runtimes, supported chipsets beyond Qorvo) are not disclosed in public materials (inferred from job postings) [MIXED] [Algorized].

Verticals named in public-facing materials and the LinkedIn company description are retail, automotive, robotics, and semiconductors, with autonomous vehicles and consumer electronics also called out by ZoomInfo's third-party profile [PUBLIC] [LinkedIn; ZoomInfo]. The CES 2026 debut alongside KUKA (industrial robotics) and ASUS (computing platforms) anchors the two clearest near-term commercial wedges: collaborative robotics safety and AIoT edge computing [PUBLIC] [Algorized].

Data Accuracy: GREEN -- Product claims sourced directly from Algorized, with corroboration from Crunchbase, ZoomInfo, LinkedIn, Qorvo, and ARIA Sensing.

Market Research and Opportunity

PUBLIC

The market Algorized addresses sits at the intersection of three forces converging in 2025-2026: the proliferation of UWB and mmWave radios in consumer and automotive devices, regulatory pressure for in-cabin human detection, and the broader build-out of physical AI systems that need to perceive humans before they can safely act around them.

No named third-party TAM/SAM/SOM figures for the people-sensing-software category appear in the captured sources, which is itself characteristic of an emerging category that analyst houses have not yet carved out from adjacent buckets such as radar semiconductors, occupancy sensing, and computer-vision safety. Adjacent reference markets that investors typically use as comparables include automotive in-cabin sensing (driven by Euro NCAP child presence detection requirements taking effect across the second half of the 2020s), industrial functional safety for collaborative robots (governed by ISO 10218 and ISO/TS 15066), and ambient sensing for smart buildings and retail analytics. Each of these is a multi-billion-dollar hardware market in which the software interpretation layer has historically been captured by the silicon vendors themselves; Algorized's bet is that an independent, multi-modal model layer can win share as the use cases multiply faster than any single chip vendor can serve them [Algorized; Venturelab].

Demand drivers visible in the cited research include: regulatory tailwinds in automotive child presence detection that explicitly motivated the ARIA Sensing collaboration [Aria Sensing, 2026]; the industrial-robotics safety push that underpins the MassRobotics relationship and the KUKA CES 2026 debut [Algorized]; and the AIoT edge-compute build-out that Algorized and ASUS frame as the rationale for their 2025 partnership [ASUS Pressroom, 2025]. Substitute approaches investors should weigh include camera-plus-vision-model stacks (higher resolution but with privacy and lighting constraints), pressure-mat and capacitive sensing (cheap but limited to contact surfaces), and pure-hardware radar solutions sold by silicon vendors as turnkey reference designs.

Sizing reference	Value	Source
Algorized total disclosed funding	~$17.3M	[Crunchbase]
Series A round size	$13M	[Venturelab]
Seed round size	$4.3M	[Algorized]

Analyst takeaway: in the absence of a named TAM figure, the cleanest read on market validation is the willingness of Amazon's industrial fund, KUKA, ASUS, Qorvo, and ARIA Sensing to engage commercially; that roster is the kind of distribution surface that typically precedes a category being formally sized by analyst firms rather than following it.

Data Accuracy: YELLOW -- Funding figures confirmed by multiple sources; market sizing inferred from adjacent categories rather than a named third-party report on people-sensing software specifically.

Competitive Landscape

MIXED

Algorized competes less against a single named rival and more against the default option of customers building sensing logic in-house on top of silicon-vendor reference designs.

The captured sources do not name direct competitors, so the competitive map below is constructed from category logic rather than a head-to-head feature comparison. Three groups are worth distinguishing. The first is the silicon vendors themselves (Qorvo, NXP, Infineon, Texas Instruments) who ship their own radar processing libraries; Algorized's Qorvo Partner Program membership suggests a posture of collaboration rather than confrontation with that group, at least for now [PUBLIC] [Qorvo]. The second is camera-and-vision-AI stacks from companies that have built occupancy and behavior models on RGB or depth cameras; these are well-funded and have richer signal per frame, but face privacy, lighting, and through-obstacle limitations that radar does not. The third is independent radar-software specialists in the in-cabin sensing niche, where European tier-one suppliers and a handful of well-funded startups (none named in the captured Algorized sources) are pursuing the same Euro NCAP child presence detection mandate that motivated the ARIA Sensing partnership [PUBLIC] [Aria Sensing, 2026].

Where Algorized appears defensible today: the multi-modal posture (UWB plus mmWave plus Wi-Fi) is broader than most single-modality competitors and harder for a silicon vendor to replicate without partnering across rival chip families [PUBLIC] [Algorized]. The company's distribution surface, Amazon Industrial Innovation Fund as a strategic seed lead, KUKA and ASUS as launch partners, MassRobotics as a pilot accelerator, is the kind of stack that is difficult for an unfunded competitor to assemble from scratch [PUBLIC] [Algorized]. The durability of that edge depends on whether Algorized can convert co-marketing into embedded design wins before silicon vendors mature their first-party software.

Where Algorized is most exposed: the company is hardware-agnostic by design, which means it does not own the channel into any device. If a major silicon vendor, particularly one outside the current partnership set, decided to make first-party people-sensing software a competitive feature, Algorized would need to keep its model accuracy and multi-modal flexibility meaningfully ahead to remain the integration of choice. The lack of publicly disclosed customer revenue or named paying logos (beyond "deployed by industry leaders across retail, automotive, robotics, and semiconductors" [PRIVATE-leaning] [LinkedIn]) makes it difficult to gauge how deep current commercial traction runs.

The most plausible 18-month scenario: winner if the Euro NCAP child presence detection rollout creates a tier-one supplier scramble for proven radar-software stacks and Algorized's ARIA Sensing partnership translates into automotive design wins; loser if Qorvo, NXP, or Infineon ships a competitive in-house people-sensing SDK bundled free with their radar silicon and reduces Algorized's wedge to a thin model-quality differential.

Data Accuracy: ORANGE -- No competitors named in captured sources; competitive map constructed from category logic and partner ecosystem signals.

Opportunity

PUBLIC

If Algorized executes, the prize is becoming the default model layer that any device with a radio uses to understand the humans around it.

The headline opportunity. The single largest outcome Algorized could plausibly become is the independent perception layer for physical AI, the software equivalent of what an operating system did for general-purpose computing, sitting between commodity sensing silicon and the application logic that consumes human-presence data. The cited evidence that makes this reachable rather than aspirational: an Amazon-affiliated industrial fund led the seed, KUKA and ASUS launched alongside the Series A, Qorvo accepted the company into its UWB partner program, and ARIA Sensing chose Algorized for an automotive child presence detection collaboration explicitly tied to next-generation regulatory requirements [Algorized; Qorvo; Aria Sensing, 2026]. None of these partners would invest co-marketing capital in a software layer they considered easily replaceable.

Growth scenarios.

Scenario	What happens	Catalyst	Why it's plausible
Automotive standard	Algorized's model becomes a referenced stack inside one or more tier-one suppliers' child presence detection modules	Euro NCAP CPD rating cycles drive OEM RFQ activity through 2026-2027	ARIA Sensing collaboration explicitly targets this use case [Aria Sensing, 2026]
Industrial robotics safety layer	KUKA and adjacent cobot vendors embed Algorized for ISO/TS 15066 compliant human-aware operation	CES 2026 KUKA debut converts to commercial deployment and reference customer status	Series A press release confirms KUKA as launch partner [Algorized]
AIoT edge platform	ASUS IoT and similar edge-compute vendors ship Algorized as a bundled perception capability on their AIoT modules	2025 ASUS IoT strategic partnership matures into joint product SKUs	ASUS Pressroom announcement frames the partnership in exactly these terms [ASUS Pressroom, 2025]

What compounding looks like. The flywheel for a sensing-model company is data. Every hour of deployment across cars, factories, and AIoT devices produces signal traces that improve the underlying model, which in turn raises the switching cost for whichever silicon vendor or device OEM has integrated it. A second compounding layer is the multi-modal foundation: a model trained across UWB, mmWave, and Wi-Fi modalities becomes harder to replicate as each new partnership extends coverage to additional chipsets. Early evidence the flywheel is starting includes the breadth of named verticals (retail, automotive, robotics, semiconductors) within roughly two years of the seed announcement [LinkedIn; Algorized].

The size of the win. The cleanest public comparable for an independent perception-software company is the broader pattern of computer-vision and sensing-AI specialists being acquired by larger automotive or semiconductor platforms at multiples that reflect strategic scarcity rather than current revenue. The captured sources do not contain a specific comparable transaction, so a numerical valuation translation would be speculative. Directionally, if the automotive standard scenario plays out and Algorized's model is referenced in even a minority of the global child-presence-detection installed base, the company would sit inside a multi-million-vehicle annual deployment volume by the late 2020s (scenario, not a forecast).

Data Accuracy: YELLOW -- Scenarios anchored to confirmed partnerships; valuation framing is directional and explicitly labeled as scenario rather than forecast.

Sources

PUBLIC

1. [Algorized] Algorized | people-sensing edge-AI foundation model | https://www.algorized.com/

2. [Algorized] Algorized | Future of People Sensing | https://www.algorized.com/about

3. [Algorized] Algorized | The Predictive Safety Engine (careers) | https://www.algorized.com/careers

4. [Algorized] Algorized Raises $4.3 Million in Seed Funding | https://www.algorized.com/news/algorized-raises-seed-round

5. [Algorized] Algorized Joins Qorvo UWB Partner Program to Accelerate UWB Radar Applications | https://www.algorized.com/news/algorized-joins-qorvo-uwb-partner-program-to-accelerate-uwb-radar-applications

6. [Algorized] Algorized Joins MassRobotics to Accelerate the Future of People-Sensing in Robotics | https://www.algorized.com/news/algorized-joins-massrobotics-to-accelerate-the-future-of-people-sensing-in-robotics

7. [Algorized] Algorized's CEO Natalya Lopareva Leads the Swiss National Startup Team at MWC25 | https://www.algorized.com/news/algorized%E2%80%99s-ceo-natalya-lopareva-leads-the-swiss-national-startup-team-at-mwc25

8. [Algorized] Algorized Secures $13 Million to Build the Edge-Native Nervous System for Physical AI | https://www.algorized.com/news/algorized-secures-$13-million-to-build-the-edge-native-nervous-system-for-physical-ai-

9. [Algorized] Software Engineer US (job posting) | https://www.algorized.com/software-engineer-us

10. [Algorized] Software Engineer Architect US (job posting) | https://www.algorized.com/software-engineer-architect-us

11. [Crunchbase] Algorized Crunchbase Company Profile and Funding | https://www.crunchbase.com/organization/algorized

12. [PitchBook] Algorized 2026 Company Profile: Valuation, Funding and Investors | https://pitchbook.com/profiles/company/466138-90

13. [Tracxn] Algorized 2025 Company Profile, Funding and Competitors | https://tracxn.com/d/companies/algorized/__txvbNqxNDwRmMcSgMTOQqRLDXY4spX6gFUDEyvqcMdk

14. [Venturelab] Algorized secures USD 13 million Series A funding | https://www.venturelab.swiss/Algorized-secures-USD-13-million-Series-A-funding

15. [LinkedIn] Algorized company page | https://www.linkedin.com/company/algorized

16. [ZoomInfo] Algorized Overview, News and Similar companies | https://www.zoominfo.com/c/algorized/1319678725

17. [ASUS Pressroom, 2025] ASUS IoT strategic partnership with Algorized

18. [Aria Sensing, 2026] Strategic collaboration with Algorized for AI-powered UWB radar automotive child presence detection

19. [Clay] Natalya Lopareva professional background profile