Endre Technologies AB

PUBLIC

Name	Endre Technologies AB
Tagline	AI-based electricity demand forecasting and planning platform for power grid operators.
Headquarters	Gothenburg, Sweden
Founded	2022
Stage	Pre-Seed
Business Model	SaaS
Industry	Cleantech / Climatetech
Technology	AI / Machine Learning
Geography	Western Europe
Growth Profile	Venture Scale
Founding Team	Academic Spinout
Funding Label	Pre-seed
Total Disclosed	~$45,000 (SEK 475,000) [BounceWatch]

Links

PUBLIC

• Website: https://www.endre.tech
• LinkedIn: https://se.linkedin.com/company/endre-tech

Executive Summary

PUBLIC Endre Technologies AB is a Swedish startup applying AI to a critical and complex problem for power grid operators: forecasting electricity demand with neighborhood-level granularity over a multi-year horizon. The company's platform, which it calls a 'Digital Societal Twin,' models hourly demand for the next 5-10 years, aiming to help distribution network operators make smarter capital planning decisions amidst the electrification of transport and heating [BounceWatch]. Originating from research at Chalmers University of Technology, the company's technical approach is its primary wedge, using multi-source societal data and AI to generate probability distributions rather than simple point forecasts [Teeming AI].

This academic foundation is underscored by its early backing from Chalmers Ventures, which led a pre-seed round in late 2022 [BounceWatch]. The business model is SaaS, targeting power grid operators as its core customer segment. While the exact founding team is not publicly named, the company's association with Chalmers and its membership in the Glava Energy Center innovation cluster provide a degree of institutional credibility [Glava Energy Center].

Over the next 12-18 months, the key signals to monitor will be the transition from pilot projects to commercial customer deployments, the clarification of its leadership team, and any subsequent funding rounds to scale its sales and product development efforts.

Data Accuracy: YELLOW -- Core product claims and pre-seed funding are documented, but key team details and traction metrics are not publicly available.

Taxonomy Snapshot

Axis	Classification
Stage	Pre-Seed
Business Model	SaaS
Industry / Vertical	Cleantech / Climatetech
Technology Type	AI / Machine Learning
Geography	Western Europe
Growth Profile	Venture Scale
Founding Team	Academic Spinout
Funding	Pre-seed (total disclosed ~$45,000)

Company Overview

PUBLIC

Endre Technologies AB was founded in 2022 as an academic spinout from Chalmers University of Technology in Gothenburg, Sweden [BounceWatch]. The company’s formation was directly tied to research conducted at the university, focusing on advanced methods for long-term electricity demand forecasting [BounceWatch, Chalmers Ventures]. This origin provides the technical foundation for its commercial platform, which aims to translate academic research into a practical tool for power grid operators.

The company maintains its headquarters in Gothenburg and is a member of the Glava Energy Center, an innovation cluster focused on sustainable energy transition [Glava Energy Center]. A key early milestone was a pre-seed investment from Chalmers Ventures in December 2022, though the precise amount is inconsistently reported across sources [BounceWatch, Dealroom.co]. Following this funding, Endre conducted a pilot project in collaboration with Glava Energy Center and the research institute RISE, testing its analysis methods on two local electricity grids in the Värmland region [Glava Energy Center, 2026]. The pilot concluded that data analysis tools could play a key role in the transition to more flexible power grids.

Data Accuracy: YELLOW -- Core founding and location facts are confirmed, but key financial and team details lack independent corroboration.

Product and Technology

MIXED

Endre Technologies sells a software platform designed to help power grid operators plan for a more complex and electrified future. The core of its offering is a 'Digital Societal Twin,' a forecasting model that simulates hourly electricity demand for specific neighborhoods over a five- to ten-year horizon [BounceWatch]. This granular, long-term view aims to replace traditional, coarser planning methods, allowing operators to identify local capacity bottlenecks and make more informed investment decisions [BounceWatch, Chalmers Ventures]. The platform's stated goal is to minimize unnecessary grid expansion costs while managing the capacity constraints introduced by electric vehicles, heat pumps, and other new loads [BounceWatch].

The company's technical differentiation appears to rest on its data synthesis and probabilistic modeling approach. The platform ingests what it terms 'multi-source societal data' to generate probability distributions for future power demand, rather than providing a single, deterministic forecast [Teeming AI]. This method, which the company claims provides a 'technical IP moat,' is intended to quantify uncertainty and support scenario-based planning [Teeming AI]. Publicly, Endre has demonstrated its analysis methods in a pilot project with the Glava Energy Center and research institute RISE, testing them on two local grids in Värmland [Glava Energy Center, 2026]. The conclusion from that project was that such data analysis tools can play a key role in the transition to flexible power grids [Glava Energy Center, 2026].

Data Accuracy: YELLOW -- Product claims are consistent across multiple secondary sources and a pilot project announcement, but direct technical specifications from the company are limited.

Market Research

PUBLIC The European power grid is undergoing a fundamental transformation, shifting from a centralized, predictable system to a distributed and volatile one, creating a critical need for new planning tools. Endre Technologies targets this emerging need for granular, long-term electricity demand forecasting among distribution network operators (DSOs). While the company's own market sizing claims are not publicly available, the broader context of grid investment and the electrification push provides a clear demand backdrop.

Direct third-party sizing for DSO-specific forecasting software is scarce, but adjacent market reports illustrate the scale of the underlying problem. The European Union's distribution grid investment needs are projected to reach €375 billion by 2030 to accommodate renewable integration and electrification, according to a 2023 report from the European Distribution System Operators' Association (E-DSO) [E-DSO, 2023]. A significant portion of this investment is driven by uncertainty in local demand growth, particularly from electric vehicles and heat pumps, which is precisely the planning gap Endre's platform aims to address. For comparison, the global market for grid analytics software, which includes forecasting and planning tools, was valued at $3.2 billion in 2022 and is forecast to grow at a compound annual rate of 12.5% through 2030, according to Grand View Research [Grand View Research, 2023].

Several concurrent demand drivers are converging to create a strong tailwind for Endre's category. The rapid adoption of electric vehicles and residential heat pumps is introducing new, high-power loads at the neighborhood level, straining local transformers and lines. Simultaneously, the proliferation of rooftop solar and other distributed generation is making the grid bidirectional, complicating traditional load flow calculations. These trends are forcing DSOs to move beyond historical, backward-looking planning methods. Furthermore, regulatory pressure is mounting; European directives like the Clean Energy Package are mandating more efficient grid planning and greater use of flexibility to defer costly infrastructure upgrades, creating a compliance incentive for advanced analytics [European Commission, 2019].

Key adjacent and substitute markets include general energy management systems (EMS), geographic information system (GIS) software used by utilities, and broader smart grid communications platforms. However, Endre's wedge appears to be a deeper focus on probabilistic, long-term forecasting at a hyper-local level, rather than real-time grid management or asset mapping. The primary competitive risk is that larger incumbents in grid software, such as Siemens or Schneider Electric, could develop or acquire similar forecasting capabilities and bundle them into existing enterprise suites.

Metric	Value
Distribution Grid Investment (EU)	375 €B
Grid Analytics Software (Global)	3.2 $B
Forecast CAGR (Grid Analytics)	12.5 %

The chart underscores the magnitude of the infrastructure spend driving demand for planning tools. The high growth rate in the grid analytics segment suggests the market is recognizing and valuing software solutions that can optimize these massive capital expenditures. Endre's potential lies in capturing a slice of this software spend by proving its models can directly reduce or defer grid investment.

Data Accuracy: YELLOW -- Market sizing figures are drawn from established industry reports (E-DSO, Grand View Research), but the application to Endre's specific product niche is an analyst extrapolation.

Competitive Landscape

MIXED

Endre Technologies positions itself as a specialist in long-term, hyper-local electricity demand forecasting, a niche carved out between legacy grid planning tools and broader energy analytics platforms. The company's public footprint is early and its competitive set is not explicitly named in available sources, requiring a map of the broader category.

Without confirmed named competitors, a direct comparison table is omitted. The analysis below is based on the known market structure and Endre's stated capabilities.

Grid planning software is a fragmented market with several distinct layers. Incumbent engineering and GIS software from firms like Siemens (PSS®SINCAL), ETAP, and Hexagon (Intergraph) provide foundational network modeling but are not optimized for probabilistic, decade-ahead demand forecasting driven by societal trends [PUBLIC]. Challenger analytics platforms such as AutoGrid, Uplight (via its EnergyAI platform), and newer entrants like Kevala focus on grid-edge data and shorter-term operational forecasts, often for DER integration or demand response [PUBLIC]. Endre's wedge appears to sit between these groups, targeting the specific, long-horizon investment planning problem for distribution network operators (DSOs) with a methodology rooted in academic research.

Where Endre may hold a defensible edge today is in its technical approach and academic lineage. The core differentiator, per its materials, is the "Digital Societal Twin" that uses multi-source data to produce probability distributions, not point forecasts [Teeming AI]. This originates from research at Chalmers University of Technology, potentially providing an early IP moat in granular, long-term load forecasting algorithms [BounceWatch, Chalmers Ventures]. This edge is perishable, however, as it relies on continued technical leadership; larger incumbents or well-funded analytics startups could develop or acquire similar probabilistic modeling capabilities.

The company's exposure is pronounced in go-to-market and scalability. It lacks the established sales channels and enterprise trust of the major engineering software incumbents. Furthermore, adjacent substitutes pose a risk: a DSO could decide to build similar forecasting capabilities in-house or partner with a larger, more established analytics provider that offers a broader suite of grid management tools. Endre's focus on a single, deep problem is a strength for product fit but a potential weakness in a sales cycle where utilities often seek consolidated vendor relationships.

The most plausible 18-month competitive scenario hinges on proof of commercial traction. A winner, in this case, would be a startup that successfully converts its technical thesis into a marquee, paid deployment with a named DSO, validating both the accuracy of its forecasts and its sales motion. A loser would be a company that remains in the pilot/project phase, unable to transition from research validation to recurring revenue, leaving its niche vulnerable to being subsumed by a platform player's feature roadmap.

Data Accuracy: YELLOW -- Competitive mapping is inferred from market structure; no direct competitor names are confirmed in public sources.

Opportunity

PUBLIC

The prize for Endre Technologies is not merely a successful SaaS business, but a foundational layer for the multi-trillion-dollar grid modernization required to support a fully electrified economy.

The headline opportunity is to become the de facto planning and simulation layer for every distribution network operator in Europe, and eventually globally. The company's core product, a Digital Societal Twin that forecasts electricity demand with hourly resolution at a neighborhood level over a 5-10 year horizon, addresses a critical and expensive bottleneck in the energy transition [BounceWatch]. Grid operators currently make billion-euro infrastructure decisions based on coarse, static models; Endre's granular, probabilistic, and AI-driven forecasts offer a direct path to capital efficiency. The plausibility of this outcome rests on the company's academic grounding from Chalmers University of Technology, which provides a technical IP moat around its forecasting methodology, and its early validation through a pilot project with Glava Energy Center and research institute RISE [Glava Energy Center, 2026]. The transition from fossil fuels to electrification is a non-negotiable, policy-driven macro trend, creating a captive market for tools that de-risk grid investments.

Growth scenarios for Endre follow distinct but interconnected paths, each with a clear catalyst.

Scenario	What happens	Catalyst	Why it's plausible
The Swedish Standard	Endre becomes the mandated or preferred planning tool for Sweden's municipal and regional grid operators.	A successful, publicly cited deployment with a major Swedish DSO (e.g., Vattenfall Eldistribution, E.ON).	Sweden has aggressive electrification targets and a concentrated grid operator landscape. Endre's local R&D origins and membership in the Glava Energy Center cluster provide natural early-adopter networks [Glava Energy Center].
The EU Regulatory Wedge	The platform's methodology becomes embedded in new EU-wide grid planning standards or compliance reporting.	Collaboration with a European transmission system operator (TSO) or a regulatory body like ENTSO-E on a flagship study.	EU directives are increasingly pushing for smarter, data-driven grid planning. Endre's focus on probabilistic forecasts and societal data aligns with this regulatory direction, offering a tangible solution to a policy problem [Teeming AI].
The OEM Integration Play	Endre's forecasting engine is white-labeled and embedded within the software suites of major grid hardware manufacturers (e.g., Siemens, Hitachi Energy).	A strategic partnership or pilot with an energy technology OEM seeking to differentiate its grid management offerings.	Hardware vendors are racing to add software and analytics value. Endre's focused, API-ready product could slot in as a specialized module, bypassing direct enterprise sales cycles.

What compounding looks like for Endre is a classic data network effect, though its early stage means this is prospective rather than proven. Each new grid operator customer contributes localized demand data and scenario testing, which in turn refines the underlying AI models, improving forecast accuracy for all users. This creates a two-sided moat: the model becomes more valuable with more data, and switching costs for an operator increase as their own historical planning becomes intertwined with Endre's proprietary probability distributions. The company's description of using "extensive multi-source societal data and AI" hints at this ambition, though the current evidence points to a research-driven rather than customer-data-driven advantage [Teeming AI]. The flywheel, if successfully engaged, would transform the product from a planning tool into an indispensable operational asset.

The size of the win can be framed by looking at comparable companies in adjacent analytics spaces. For instance, U.S.-based Itron, which provides metering and grid analytics, trades at a market cap of approximately $4.5 billion. A more direct, albeit later-stage, comparable might be AutoGrid, a flexibility management software provider acquired by Schneider Electric for a reported valuation in the hundreds of millions. If Endre executes on the "EU Regulatory Wedge" scenario and captures a material portion of the European DSO planning software market, a valuation in the low hundreds of millions is a plausible outcome (scenario, not a forecast). The total addressable market is the tens of billions spent annually by European utilities on grid reinforcement and modernization, where even a single-digit percentage software take-rate represents a significant business.

Data Accuracy: YELLOW -- The opportunity analysis is based on cited product claims and market logic, but specific customer traction and commercial scale remain unverified.

Sources

PUBLIC

1. [BounceWatch] Endre - Overview | https://www.bouncewatch.com/explore/startup/endre

2. [Dealroom.co] Endre Technologies raises SEK 7M pre-seed for grid-planning software | https://app.dealroom.co/news/note/endre-technologies-raises-sek-7m-pre-seed-for-grid-planning-software

3. [Crunchbase] Endre Technologies AB - Crunchbase Company Profile & Funding | https://www.crunchbase.com/organization/endre-technologies-ab

4. [Teeming AI] Endre Technologies AB | https://teeming.ai/c/endre-technologies-ab/ccbfcd39-ec98-468e-9e91-bf06e0b4563f

5. [Chalmers Ventures] Endre Technologies | https://chalmersventures.com/startups/endre-technologies/

6. [Glava Energy Center] Endre | https://glavaenergycenter.se/en/membership/members/endre.html

7. [Glava Energy Center, 2026] Tested new analysis methods in a pilot project with Glava Energy Center and research institute RISE | https://glavaenergycenter.se/en/membership/members/endre.html

8. [E-DSO, 2023] European Distribution System Operators' Association report on grid investment | https://www.edsoforsmartgrids.eu/wp-content/uploads/2023/10/E-DSO-2030-Grid-Investment-Needs-Report.pdf

9. [Grand View Research, 2023] Grid Analytics Market Size, Share & Trends Analysis Report | https://www.grandviewresearch.com/industry-analysis/grid-analytics-market-report

10. [European Commission, 2019] Clean energy for all Europeans package | https://energy.ec.europa.eu/topics/energy-strategy/clean-energy-all-europeans-package_en