Sortrace
AI-powered cameras on waste trucks to detect contamination and improve sorting rates for municipalities.
Website: https://sortrace.com/
Cover Block
From the public record
| Field | Value |
|---|---|
| Company | Sortrace |
| Tagline | AI-powered cameras on waste trucks to detect contamination and improve sorting rates for municipalities. |
| Headquarters | Stockholm, Sweden [Sortrace, retrieved 2026] |
| Founded | 2025 [Preqin, March 2025] |
| Stage | Pre-Seed [Preqin, March 2025] |
| Business model | SaaS |
| Industry | Cleantech / Climatetech |
| Technology | AI / Machine Learning |
| Geography | Western Europe |
| Growth profile | Venture Scale |
| Founding team | Co-Founders (2), Rahel Surshi and Tomas Kjellstrand [Tech.eu, November 2026] |
| Funding label | Pre-seed |
| Total disclosed | Approximately $950,000 across two pre-seed rounds [Preqin, March 2025] [Tech.eu, November 2026] |
Links
From the public record
- Website: https://sortrace.com/
The Short Version
PUBLIC Sortrace builds camera and computer-vision software for waste trucks that identifies mis-sorted household waste and feeds municipalities and operators a location-based view of contamination, a useful wedge at a moment when cities face pressure to improve recycling outcomes with better operational data [Vinnova, September 2026] [Sortrace] [Tech.eu, November 2026]. The company was founded in Stockholm in 2025 by Rahel Surshi and Tomas Kjellstrand, and the public record points to an early go-to-market focus on municipal and waste-management workflows rather than consumer recycling behavior [Preqin, March 2025] [Tech.eu, November 2026] [Vinnova, September 2026].
The product appears differentiated less by a novel sensor and more by where it sits in the workflow: Sortrace places AI-powered cameras on collection vehicles, links detections to the relevant city district, and surfaces image evidence, trends, and map views through a municipal web portal [Vinnova, September 2026] [Sortrace]. That deployment model matters because it measures contamination at the point of collection, where operators can potentially turn route-level observations into targeted interventions, and the company has said it intends to extend the system beyond collection vehicles over time [Tech.eu, November 2026] [Finsmes, November 2026].
The founding team fits the product thesis, at least on paper. Sortrace says CEO Rahel Surshi previously held technology revenue roles at Telenor, Arkion, and Sony Healthcare, while CTO Tomas Kjellstrand brings a background spanning EA/DICE and longer experience in full-stack development, cloud, and computer vision [Sortrace]. Those biographies are company-supplied, but they describe a plausible pairing of commercial and technical leadership for an enterprise municipal software sale [Sortrace].
Capital formation is still early but active. Public sources show a $150,000 pre-seed round in March 2025 led by Antler, a SEK 500,000 Vinnova grant in September 2026, and an Almi Invest-led SEK 8 million round in November 2026 that Tech.eu translated to about $800,000, bringing disclosed financing to roughly $950,000 using the reported dollar figures [Preqin, March 2025] [Vinnova, September 2026] [Tech.eu, November 2026] [Almi Invest, November 2026]. Sortrace is categorized here as a SaaS business, and the clearest public traction marker is management's statement that it had four paying customers as of June 2026, which is encouraging but still lightly corroborated [Uppsala Innovation Centre, June 2026].
Over the next 12 to 18 months, the central questions are whether Sortrace can convert pilots and early municipal contracts into repeatable deployments, show that its route-level detection data changes recycling outcomes rather than simply measuring them, and widen distribution without a long services tail [Uppsala Innovation Centre, June 2026] [Vinnova, September 2026]. The open role for a Senior Computer Vision Specialist also suggests that model performance and productization remain active build areas, which is typical at this stage but worth watching as the company scales beyond a handful of customers [Antler Careers].
Inferred, not confirmed -- Core funding facts are corroborated across Preqin, Tech.eu, Almi Invest, and Vinnova, but product details and founder biographies rely partly on company materials, and the four-customer figure is management-stated via Uppsala Innovation Centre.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Pre-Seed |
| Business Model | SaaS |
| Industry / Vertical | Cleantech / Climatetech |
| Technology Type | AI / Machine Learning |
| Geography | Western Europe |
| Growth Profile | Venture Scale |
| Founding Team | Co-Founders (2) |
| Funding | Pre-seed, total disclosed approximately $950,000 |
The Company in Brief
From the public record Sortrace presents as an early municipal waste-tech company built around a narrow operational wedge: seeing contamination where it actually occurs, at the moment household waste is collected. The public record is still thin, but the basic company facts are consistent across its own materials and financing databases. Sortrace is headquartered in Stockholm, Sweden, was founded in 2025, and positions itself as a software-led business using AI-powered cameras on waste trucks to detect incorrectly sorted household waste [sortrace.com, retrieved 2026] [Preqin, March 2025].
The company website names two co-founders, Rahel Surshi and Tomas Kjellstrand, and describes the broader aim as making waste "visible, measurable, and actionable" for municipalities and waste operators [sortrace.com, retrieved 2026]. Publicly available source material reviewed for this section does not establish a separate legal entity name beyond Sortrace branding, so the analysis stays with the operating name used in company and funding references [sortrace.com, retrieved 2026] [Preqin, March 2025].
A short milestone timeline is already visible despite the company's age. Preqin records a $150,000 pre-seed round in March 2025 with Antler listed as investor [Preqin, March 2025]. By 2026, Sortrace's website had matured into a clearer category pitch around smart waste monitoring, with the company describing a platform that combines cameras, computer vision, and software for waste collection operations [sortrace.com, retrieved 2026].
That chronology matters because it shows a business moving from formation to early external validation in roughly its first two years. Public sources tie the company to pre-seed financing and a defined municipal waste-monitoring use case, but they do not yet provide the fuller corporate detail that would usually appear once a company reaches later-stage disclosure norms [Preqin, March 2025] [sortrace.com, retrieved 2026].
Single-source, plausible -- Confirmed by company website and Preqin; core company facts are corroborated, but legal entity detail is limited in the cited public record.
What They Have Built
Mixed sourcing
Sortrace’s product wedge is unusually concrete for a company this young: it puts cameras on waste collection vehicles, applies computer vision to what passes through the collection flow, and turns those detections into operational signals for municipalities and waste operators [Sortrace] [Vinnova, September 2026]. The public description is specific on the workflow even if still thin on underlying performance data. Vinnova says the system identifies mis-sorted household waste during collection, links detections to the relevant city district, and presents results through a municipal web portal with image evidence, trend views, and map views for operators [Vinnova, September 2026].
That matters because the product is framed less as a generic vision tool and more as a measurement layer at the point of pickup, where contamination is still attributable to route and district rather than buried inside downstream facility averages [Vinnova, September 2026] [Uppsala Innovation Centre, June 2026]. Sortrace also says it aims to make waste “visible, measurable, and actionable,” while Tech.eu reported that the company intends to extend beyond collection vehicles into other parts of the waste-management process [Sortrace] [Tech.eu, November 2026]. The expansion point is publicly stated, but the current evidence base remains centered on collection-stage monitoring rather than a broader deployed platform [Tech.eu, November 2026] [Vinnova, September 2026].
The technical stack is only partly visible from public materials, so any deeper read has to stay narrow. Public sources support camera-based computer vision and data analysis as the core architecture, and an open role for a Senior Computer Vision Specialist suggests ongoing work in perception for waste-collection vehicles and converting operational video into sorting-quality and contamination insights (inferred from job postings) [Antler Careers] [Vinnova, September 2026]. There is also some evidence of prototype-to-deployment progress: Vinnova described the funded project as taking the product from prototype toward operational deployment, and Uppsala Innovation Centre published an interview in which the CEO said the company had four paying customers as of June 2026 [Vinnova, September 2026] [Uppsala Innovation Centre, June 2026].
Unconfirmed -- Core product functionality is described across Sortrace, Vinnova, and Tech.eu, but several material operating details still rely on company-linked or program-linked sources rather than independent technical verification.
Market Size and Demand
From the public record
Waste sorting sits at the intersection of municipal cost pressure, recycling-policy enforcement, and practical data scarcity, which is why even a small software layer can matter if it turns collection routes into measurable compliance signals [Vinnova, September 2026] [Tech.eu, November 2026]. Sortrace is aimed at a narrow operating moment, household waste collection, but the public materials point to a broader budget line inside municipal waste operations and recycling workflows rather than a consumer app or a stand-alone camera product [Vinnova, September 2026] [Almi Invest, November 2026]. No cited third-party market report in the reviewed materials provides a direct TAM, SAM, or SOM for AI contamination detection on waste trucks, so the public evidence supports a market framing by adjacent workflow: municipal and private waste-management organizations purchasing data, monitoring, and process-improvement tools tied to collection and sorting performance [Vinnova, September 2026] [Almi Invest, November 2026].
The demand signal in the available sources is operational rather than theoretical. Vinnova describes Sortrace's system as identifying mis-sorted household waste during emptying, linking detections to the relevant city district, and surfacing image evidence, trends, and map views through a municipal web portal, which implies buyers need localized diagnostics rather than only aggregate recycling statistics [Vinnova, September 2026]. Uppsala Innovation Centre's June 2026 interview says Sortrace had four paying customers as of that date, a small sample but still a more concrete indicator of market pull than pilot language alone [Uppsala Innovation Centre, June 2026].
Adjacent markets also matter here because Sortrace's public positioning is likely to expand with the underlying problem set. The company is described as serving municipalities and private waste-management or recycling organizations, and Tech.eu reports that it intends to expand beyond collection vehicles into other parts of the waste-management process, which suggests potential adjacency to sorting-facility analytics, contamination monitoring, and broader materials-flow intelligence rather than a single-vehicle software niche [Almi Invest, November 2026] [Tech.eu, November 2026]. That said, the evidence does not establish which adjacent budget owners, modules, or expansion paths have already been validated.
Regulation and macro conditions are present in the sources, but mostly by implication. The cited public materials repeatedly frame the product around improving sorting rates, reducing contamination, and helping cities understand where intervention is needed, all of which are consistent with stricter recycling targets and rising pressure on municipalities to document outcomes with better granularity [Swedish Tech News, November 2026] [Vinnova, September 2026]. Finsmes adds that Sortrace maps mis-sorting patterns to route data to reduce incineration volumes, a claim that aligns with European decarbonization and circular-economy incentives, though the reviewed sources stop short of quantifying the policy-driven budget opportunity [Finsmes, November 2026].
| Market lens | Public evidence | Relevance to Sortrace |
|---|---|---|
| Municipal waste operations | Sortrace's system is described as identifying mis-sorted household waste during collection and presenting district-level insights to municipalities through a web portal [Vinnova, September 2026] | Indicates a workflow budget tied to city operations, compliance, and service performance |
| Private waste and recycling operators | Almi Invest says the product is aimed at municipalities and private waste-management or recycling organizations [Almi Invest, November 2026] | Expands buyer universe beyond public agencies |
| Collection-stage monitoring | Tech.eu says the company starts with cameras on collection vehicles and plans to expand beyond them [Tech.eu, November 2026] | Suggests an initial wedge with possible adjacent product surfaces later |
| Sorting and contamination reduction | Multiple sources describe the product in terms of contamination detection and recycling improvement [Vinnova, September 2026] [Swedish Tech News, November 2026] | Points to measurable operational pain rather than a discretionary sustainability dashboard |
The table points to a market that is better understood as a workflow category than as a clean published TAM. The strongest public signal is that buyers already appear to exist for route-level contamination intelligence, while the larger expansion case remains plausible but still unquantified in the cited record.
Single-source, plausible -- This section relies on one independent public grant source and a small set of news and institutional sources, but no named third-party market sizing report was available in the reviewed materials.
Who Else Is Fighting for This
MIXED Sortrace is positioning itself at the collection point, where cameras on waste trucks can turn household sorting errors into route-level operational data, a narrower wedge than broad recycling robotics but one that is close to municipal workflows [Sortrace] [Vinnova, September 2026] [Tech.eu, November 2026].
| Company | Positioning | Stage / Funding | Notable Differentiator | Source |
|---|---|---|---|---|
| Sortrace | AI-powered cameras on waste trucks to detect contamination and improve sorting for municipalities and waste operators | Pre-seed, about $950,000 disclosed plus a SEK 500,000 grant | Focus on detecting mis-sorted household waste during collection and linking detections to city-district data through a municipal portal | [Preqin, March 2025] [Tech.eu, November 2026] [Vinnova, September 2026] |
| GreyParrot | AI waste analytics company for sorting and recycling visibility | Funding details not provided in the structured facts | Named competitor with waste-analysis positioning adjacent to Sortrace's monitoring layer | [Structured Facts] |
| WeSortAI | AI waste-sorting competitor | Funding details not provided in the structured facts | Named competitor in AI-assisted waste sorting | [Structured Facts] |
| Aris Robotics | Robotics competitor in waste and sorting workflows | Funding details not provided in the structured facts | Named competitor with a robotics orientation rather than truck-mounted collection analytics | [Structured Facts] |
The competitive map breaks into three lanes. Incumbents are municipalities' existing manual audits, route reporting, and aggregate recycling datasets, which are cheaper because they are already embedded but less granular at the point of pickup [Vinnova, September 2026]. Adjacent substitutes sit one step away from Sortrace's wedge: a city can spend on sorting-line intelligence, public education campaigns, or contamination audits instead of instrumenting collection vehicles, which means Sortrace is competing not only against startups but against where a municipal budget chooses to measure the problem.
Sortrace's edge today appears to be workflow fit rather than balance sheet strength. Public sources tie the product to collection vehicles, district-level attribution, image evidence, trend views, and a municipal web portal, which suggests the company is trying to insert itself before waste reaches downstream sorting infrastructure [Vinnova, September 2026] [Sortrace]. If that deployment creates a proprietary image and route dataset across multiple municipalities, the advantage could compound because local contamination patterns are operationally specific and potentially useful for model tuning; if adoption stalls at a handful of pilots, that same edge is perishable because better-capitalized rivals can pursue similar computer-vision tooling with broader distribution [Uppsala Innovation Centre, June 2026] [Tech.eu, November 2026].
The main exposure is that Sortrace does not yet appear, from public evidence, to control a dominant channel or a hardware platform.
The most plausible 18-month scenario is a category split rather than a single winner-take-most outcome. Sortrace is the winner if municipalities decide the highest-return spend is upstream visibility, especially where regulation or local policy pushes contamination reduction at the household level and where route-linked evidence helps justify interventions district by district [Vinnova, September 2026] [Finsmes, November 2026]. A named loser in that scenario would be any collection-stage rival without municipal workflow integration. eu, November 2026].
Opportunity
From the public record
If Sortrace executes, the prize is not a better waste audit tool, but a system of record for contamination and sorting performance inside municipal waste operations, a workflow that sits close to regulation, budgets, and route-level decision making [Vinnova, September 2026] [Tech.eu, November 2026].
The headline opportunity is straightforward. Sortrace is trying to move waste sorting intelligence from periodic manual checks and aggregate reporting toward continuous measurement at the point of collection, using cameras on trucks, computer vision, and a municipal portal that ties detections to districts and operational follow-up [Vinnova, September 2026] [Sortrace]. That is a narrow initial wedge, but it is a credible one because the company had four paying customers by June 2026, before its larger November 2026 financing, and Vinnova described the product as moving from prototype toward operational deployment rather than remaining at concept stage [Uppsala Innovation Centre, June 2026] [Vinnova, September 2026]. The reachable upside, if those early deployments convert into repeatable procurement, is a position as default monitoring infrastructure for municipal recycling quality in parts of Europe, with adjacent expansion into other waste-management workflows that management has already signaled publicly [Tech.eu, November 2026].
A few paths to scale are visible from the public record, even if none is yet proven.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| District-by-district municipal standard | Sortrace becomes the operating layer cities use to identify contamination hotspots, direct resident education, and track improvement over time | A municipal customer expands from pilot routes to broader fleet or district coverage after measurable sorting gains | The product already links detections to city districts and presents image evidence, trends, and map views in a municipal portal, which is the right architecture for land-and-expand inside public operations [Vinnova, September 2026] |
| Embedded intelligence for waste operators | Private waste operators adopt the system as a service layer on collection fleets, making route-level contamination data part of routine operations | One operator standardizes on camera-based monitoring across multiple contracts or geographies | Public sources describe municipalities and private waste-management or recycling organizations as target customers, suggesting the distribution path is not limited to one buyer type [Vinnova, September 2026] [Almi Invest, November 2026] |
| Broaden from collection to broader waste-process analytics | Sortrace extends from truck-mounted detection into additional points in the waste-management chain, increasing contract value and defensibility | Product expansion beyond collection vehicles, funded by the November 2026 round and supported by the Vinnova-backed deployment work | Tech.eu reported that Sortrace intends to expand beyond collection vehicles, and Vinnova's project description points to an operational system rather than a single-feature prototype [Tech.eu, November 2026] [Vinnova, September 2026] |
The compounding mechanism, if it appears, comes from data density and workflow fit rather than from the model layer alone. Each truck route can generate repeated image evidence of mis-sorted waste, tied to location and displayed through a portal built for municipal operators; if that data improves intervention decisions, the next sale gets easier because Sortrace is no longer selling an abstract AI tool, but an evidence base for enforcement, education, and service optimization [Vinnova, September 2026] [Sortrace]. The earliest sign that this loop may be starting is modest but real: by June 2026 the company said it already had four paying customers, and by November 2026 it had attracted follow-on capital from Almi Invest with participation from Antler, Gorilla Capital, and Linnéa Capital, alongside a Vinnova grant earlier that year [Uppsala Innovation Centre, June 2026] [Almi Invest, November 2026] [Vinnova, September 2026]. That does not establish a moat yet, but it does suggest that product, funding, and customer validation are arriving in sequence rather than in isolation.
The size of the win is harder to quantify from public data because no market-size figure or direct public comparable is confirmed in the source set. The cleaner way to frame it is by strategic position. If Sortrace became a category leader in contamination detection and route-level waste intelligence across European municipalities and operators, the company could plausibly earn infrastructure-like value from being embedded in recurring public-service workflows, especially if it expands from collection monitoring into adjacent analytics products [Tech.eu, November 2026] [Vinnova, September 2026]. Any explicit valuation range from that premise would be a scenario, not a forecast, and the public evidence here is not strong enough to support a precise number without importing outside comparables.
Single-source, plausible -- Based on one independent public grant source, one incubator interview, and financing coverage from Tech.eu and Almi Invest; the upside logic is evidence-backed but forward-looking, and no public market-size source is confirmed in this section.
Sources
From the public record
[Sortrace, retrieved 2026] Sortrace, Smart Waste Monitoring | https://sortrace.com/
[Preqin, March 2025] Sortrace AB | https://www.preqin.com/data/profile/asset/sortrace-ab/790592
[Tech.eu, November 2026] Sortrace lands $800K to improve waste sorting with AI-powered analysis | https://tech.eu/2026/11/02/sortrace-lands-800k-to-improve-waste-sorting-with-ai-powered-analysis
[Vinnova, September 2026] Automated identification of mis-sorted household waste | https://www.vinnova.se/en/p/automated-identification-of-mis-sorted-household-waste
[Finsmes, November 2026] Sortrace Raises Approx. $800K in Funding | https://www.finsmes.com/2026/11/sortrace-raises-approx-800k-in-funding.html
[Almi Invest, November 2026] Almi Invest investerar i Sortrace AI ska göra återvinningen smartare | https://www.almi.se/om-almi/media-och-press/almi-invest/2026/almi-invest-investerar-i-sortrace--ai-ska-gora-atervinningen-smartare/
[Uppsala Innovation Centre, June 2026] 4 Questions for Sortrace CEO Rahel Surshi | https://uic.se/en/from-waste-collection-to-business-insights-4-questions-for-sortrace-ceo-rahel-surshi/
[Antler Careers, retrieved 2026] Senior Computer Vision Specialist | https://careers.antler.co/companies/sortrace/jobs/79484282-senior-computer-vision-specialist
[Swedish Tech News, November 2026] Sortrace raises SEK8M for AI-based waste detection, to help cities improve recycling rates and understand where action is necessary | https://www.swedishtechnews.com/sortrace-raises-sek8m-for-ai-based-waste-detection-to-help-cities-improve-recycling-rates-and-understand-where-action-is-necessary/
Articles about Sortrace
- Sortrace's AI Cameras Map Sweden's Recycling Mistakes to the Street Corner — The Stockholm-based startup uses truck-mounted cameras to pinpoint contamination, giving cities a new tool to improve sorting rates and cut incineration.