StableFlame
StableFlame is a German deep-tech startup that provides AI-based waste bunker management software for thermal waste-to-energy plants, using computer vision and a self-learning digital twin to optimize crane operations and combustion in real time.
- Company typePrivate
- Founded-
- HeadquartersKarlsruhe (Grötzingen), Germany
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What StableFlame does
StableFlame is a German deep-tech startup headquartered in Karlsruhe-Grötzingen that spun off from EDI - Engineering Data Intelligence in 2023 to commercialize AI-based waste bunker management technology for thermal waste-to-energy (WtE) plants. The technology originated in a three-year research program supported by the Ministry of Environment, Climate Protection, and Energy Sector of Baden-Württemberg, and targets the operational challenges — fuel heterogeneity, combustion instability, emissions compliance, and cost — that affect roughly 90% of waste-to-energy operators.
The company's core product is a self-learning digital twin of the waste bunker that uses computer vision to infer calorific value directly from camera images of heterogeneous waste piles, fused with structured process data to deliver real-time recommendations for crane operations and combustion setpoints. The software is deployed on-premise and integrates with the customer's crane control and combustion performance systems. StableFlame sells two subscription tiers: a Digital Twin at €5,000 per boiler per month and an Automated Optimization tier at €10,000 per boiler per month, both structured as recurring software contracts with WtE plant operators.
The go-to-market is currently anchored by a single disclosed commercial pilot with MVV Umwelt GmbH in Mannheim, deployed on Boiler 6. The company operates with a small team, has not publicly announced a priced funding round, and maintains its corporate website in English, German, and Japanese — signaling early intent to address European and Japanese operator bases. Revenue is best characterized as pre-revenue to nominal under €200,000 ARR given the single-boiler deployment scale.
StableFlame firmographics
Firmographics- Name
- StableFlame
- Legal name
- StableFlame GmbH
- Website
- https://stableflame.com
- Company type
- Private
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Short description
- StableFlame is a German deep-tech startup that provides AI-based waste bunker management software for thermal waste-to-energy plants, using computer vision and a self-learning digital twin to optimize crane operations and combustion in real time.
- Ownership category
- akta.pro rank
StableFlame industry classification
Industry- Product category
- Industrial AI Software for Waste-to-Energy Process Optimization
- NAICS
- Solid Waste Combustors and Incinerators (562213)
- SIC
- Refuse Systems (4953)
- akta.pro primary industry
- Waste-to-Energy CHP & District Heating Integration (Heat offtake systems) (EUAAAKAH)
Keywords
Where StableFlame is headquartered
LocationHeadquarters
- HQ city
- Karlsruhe (Grötzingen)
- HQ country
- Germany
- HQ region
- Europe
Offices1 record
Markets served
StableFlame business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Operations, Marketing or Sales, Infrastructure
Revenue model
- Digital Twin Subscription (Bunker): Monthly subscription for the self-learning digital twin of the waste bunker with 3D visualization of calorific values and decision support for crane operators. Priced at €5,000 per month per boiler.
- Automated Optimization Subscription: Monthly subscription for full automated planning of crane actions with intelligent homogenization and optimal hopper feeding. Priced at €10,000 per month per boiler. Includes real-time adjustment to bunker content changes.
- Implementation Services: One-time commissioning project costs for adaptation work including camera system installation, IT infrastructure integration, digital twin training, calibration, and operator training. Calculated separately based on plant characteristics and automation level.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | Digital Twin of Waste Bunker - €5,000/month per boiler |
| Subscription | Monthly | Automated Waste Bunker Optimization - €10,000/month per boiler |
Go-to-market motion1 record
Distribution channels1 record
Marketing channels4 records
StableFlame product offering
Product offeringCore offering
StableFlame sells an AI-powered waste bunker management system for thermal waste-to-energy plants, consisting of a self-learning digital twin that visualizes the calorific value of waste in 3D and an optimization algorithm that plans crane actions for intelligent homogenization and optimal hopper feeding. The platform is deployed on-premise at customer facilities, integrates with plant operating systems, and is sold via monthly per-boiler subscriptions plus one-time commissioning services.
Product overview
StableFlame offers a two-tier AI-powered product portfolio for thermal waste-to-energy plants. The core product, the Digital Twin of the Waste Bunker (€5,000/month per boiler), provides self-learning 3D visualization of waste calorific values and decision support for crane operators. The add-on module, Automated Waste Bunker Optimization (€10,000/month per boiler), extends the core with fully automated crane action planning and real-time optimization. Both products run on-premise at customer facilities and are designed for about 90% of thermal waste-to-energy plants with one waste bunker per boiler and no mechanical mixing facility.
Differentiator
Problem solved
Functional benefit
Products and services
- Digital Twin of the Waste Bunker A self-learning digital twin of the waste bunker for thermal waste-to-energy plant operators, providing 3D visualization of calorific values within the bunker via color-coded cells and an intuitive user interface for crane operators to support homogenization and hopper feeding decisions. The system improves accuracy over time by integrating with plant operating systems and self-calibrating on combustion data. Priced at €5,000 per month per boiler, with separate one-time commissioning costs.
- Automated Waste Bunker Optimization An add-on module to the Digital Twin that fully automates crane action planning, including intelligent homogenization, real-time adjustment to bunker content changes, and automatic detection of optimal calorific value for combustion. Designed to operate without manual intervention by crane operators. Priced at €10,000 per month per boiler, with separate commissioning costs.
Quantifiable outcome
- 25% reduction in support fire consumption through intelligent waste homogenization
- +3 more outcomes
Companies that use StableFlame
Customer profileNamed customers1 record
Segments1 record
Ideal customer profiles1 record
StableFlame technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability6 records
Feature4 records
StableFlame partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered core, flagship and minor.
- EDI - Engineering Data IntelligencecoreEDI - Engineering Data Intelligence is the parent company from which StableFlame spun off in 2015. EDI was founded with the aim of sustainably transforming traditional sectors through applied artificial intelligence. StableFlame represents EDI's technology in the thermal waste-to-energy sector. EDI provides technological expertise, particularly in AI and digitization of traditional industry sectors.
- MVV Umwelt GmbHcoreMVV Umwelt GmbH is the pilot customer operating the StableFlame process at Boiler 6 of their thermal waste treatment plant in Mannheim, Germany. They have the ambitious goal of becoming climate positive by 2035. The pilot plant operates under real conditions, testing and continuously optimizing the StableFlame process.
- Ministry of Environment, Climate Protection and Energy Sector of Baden-WürttembergflagshipThe Ministry supported the groundbreaking project 'AI Tool for Predictive Process Optimization and Control for Medium-Sized Process Plant Operators' which developed the StableFlame process. This three-year research project demonstrates the effectiveness of the technology under real-world conditions.
- Gateway49minorGateway49 is mentioned as part of StableFlame's Programs & Ecosystem, indicating a startup ecosystem or incubator relationship.
Scale indicators5 records
Recent moves7 records
Expansion highlights4 records
StableFlame competitors and assessment
Company assessmentBroad incumbents
- AVEVA: Industrial software provider (now part of Schneider Electric) offering process simulation, optimization, and digital twin technology. AVEVA's PI System and digital twin capabilities are conceptually adjacent to StableFlame's waste bunker digital twin.
- Siemens: Global industrial automation leader offering MindSphere and plant digitalization suites that overlap with StableFlame's waste-bunker optimization, particularly for utilities operating thermal waste-to-energy plants. Comparable as a broad incumbent that could bundle bunker optimization into existing control stacks.
- ABB: Industrial automation and ABB Ability digital platform serving power, waste, and process industries. ABB's installed base at waste-to-energy operators and DCS ownership makes it a directly comparable broad incumbent with potential to add bunker-level AI features.
- Honeywell Forge: Industrial AI and process optimization suite from Honeywell serving power generation and process operators. Its Connected Plant and optimization modules target similar combustion and process efficiency use cases as StableFlame.
- Metso: Supplier of equipment and digital solutions for waste and recycling processing, including plant automation. Metso serves overlapping waste-management customers and could expand into process-level AI optimization comparable to StableFlame.
Emerging players
- Uptake: Industrial AI platform applying machine learning to asset performance and process optimization in heavy industry. Comparable as an emerging AI vendor targeting industrial operators, with similar value proposition of data-driven process improvement.
- C3.ai: Enterprise AI software provider with applications in manufacturing, energy, and process industries. C3.ai's process optimization and predictive applications overlap conceptually with StableFlame's AI-based combustion optimization approach.
Direct peers
- Hitachi Zosen Inova: EPC and technology provider specializing in thermal waste-to-energy plants and related digital services. HZI competes for the same operator budgets as StableFlame and could integrate AI-based bunker management directly into its plant offerings.
- Martin GmbH: German manufacturer of thermal waste-to-energy plants and grate-based combustion systems. Martin targets the same European plant operators as StableFlame and could develop or acquire competing bunker optimization software.
Regional players
- Andritz: Supplier of technologies and services for waste-to-energy, pulp, and biomass combustion plants, with strong European footprint. Andritz's plant optimization offerings make it a regional peer with comparable customers and overlapping value propositions.
Market position
Strengths4 records
Weaknesses5 records
Competitive moat4 records
Key risks6 records
Key highlights6 records
Customer concentration
StableFlame social profiles
Digital presenceStableFlame financial estimates
Financial estimateRevenue estimate
Valuation estimate
StableFlame leadership team
Management profileNumber of profiles
Profiles5 records
StableFlame funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
StableFlame M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about StableFlame
What does StableFlame do?
StableFlame sells an AI-powered waste bunker management system for thermal waste-to-energy plants, consisting of a self-learning digital twin that visualizes the calorific value of waste in 3D and an optimization algorithm that plans crane actions for intelligent homogenization and optimal hopper feeding. The platform is deployed on-premise at customer facilities, integrates with plant operating systems, and is sold via monthly per-boiler subscriptions plus one-time commissioning services.
Is StableFlame a public or private company?
StableFlame is a private company. It is classified as corporate owned and is currently operating.
When was StableFlame founded?
StableFlame was founded in -1. It employs 1 to 10 people.
Where is StableFlame based?
StableFlame is headquartered in Karlsruhe (Grötzingen), Germany, in the Europe region.
How does StableFlame make money?
Three revenue lines are on record. Digital Twin Subscription (Bunker) is the primary driver. The others are automated Optimization Subscription and implementation Services.
Who are StableFlame's main competitors?
Broad incumbents on record are AVEVA, Siemens, ABB, Honeywell Forge and Metso. Emerging players are Uptake and C3.ai. Direct peers are Hitachi Zosen Inova and Martin GmbH. Andritz is listed as a regional player.
Does StableFlame have an API?
No public API is recorded for StableFlame.
What industry is StableFlame in?
StableFlame's product category is Industrial AI Software for Waste-to-Energy Process Optimization. Its primary akta.pro industry code is EUAAAKAH, Waste-to-Energy CHP & District Heating Integration (Heat offtake systems). Its NAICS code is 562213 and its SIC code is 4953.