Scaleout
Scaleout builds a federated machine learning platform that trains AI models at the edge where data resides, without raw data leaving the device. It serves defense, security, and industrial customers in contested or regulated environments through its Scaleout Edge platform and Tactical CV Network.
- Company typePrivate
- Founded2017
- HeadquartersUppsala, Sweden
- Headcount11–50
- GTM typeB2B
- OfferingSoftware
What Scaleout does
Scaleout Systems is a Swedish deep-technology company building the Sovereign Edge AI Platform, a federated machine learning infrastructure that trains and operates AI models at the edge where data resides, without raw data ever leaving the device. Founded in 2017 as a spinout from Uppsala University and headquartered in Stockholm, the platform manages the full model lifecycle — federated training, versioned deployment, resilient operations, and fleet-wide observability — across distributed environments including drones, vehicles, and industrial sensors. The portfolio comprises the Scaleout Edge core platform, the Tactical CV Network (for counter-UAS and ISR), the Ground Node (GPU-accelerated edge station), the Edge AI Companion (on-drone compute), and pre-built capability modules for Computer Vision, Drone & Autonomy, Speech & Language, and Adversarial Modelling. SDKs are available in Python, C++, and Kotlin under Apache 2.0, with deployment via Docker Compose, Kubernetes, and Terraform on AWS and GCP.
The company serves defense, security, and industrial customers operating in contested or regulated environments where data cannot move due to classification, privacy law, or bandwidth constraints. Named customers and partners include BAE Systems (and BAE Systems Bofors), Saab, Sweden's Defence Materiel Administration (FMV), NATO (via the DIANA programme), Scania/Traton, Oracle, AMEXCI, and Interspectral. Revenue is generated through annual platform subscriptions, per-node runtime licensing with volume-based tiers, and forward-deployed engineering services, with a 60-day Stage 1 evaluation engagement serving as the entry point. The company also offers free academic licenses and co-leads the Vinnova-backed LeakPro open-source privacy attack-testing consortium with AI Sweden, RISE, and AstraZeneca.
Scaleout firmographics
Firmographics- Name
- Scaleout
- Legal name
- Scaleout Systems AS
- Website
- https://scaleoutsystems.com
- Company type
- Private
- Founded year
- 2017
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- Scaleout builds a federated machine learning platform that trains AI models at the edge where data resides, without raw data leaving the device. It serves defense, security, and industrial customers in contested or regulated environments through its Scaleout Edge platform and Tactical CV Network.
- Ownership category
- akta.pro rank
Scaleout industry classification
Industry- Product category
- Federated Edge AI Software
- NAICS
- Computer Systems Design and Related Services (54151), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (518)
- SIC
- Services-Prepackaged Software (7372), Services-Computer Integrated Systems Design (7373)
- akta.pro primary industry
- Confidential AI & Privacy-Preserving ML (federated learning, MPC, HE, TEEs) (HDAAAKAI)
- akta.pro secondary industries
- Edge AI Deployment, Orchestration & OTA Model Updates (HDAAAJAI), On-Device Inference Runtimes & SDKs (mobile/embedded) (HDAAAJAB), Real-Time Vision at the Edge (on-device CV/video) (HDAAAJAE), Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG), AI Application Enablement Platforms (Copilot/Agent Frameworks, SDKs) (HDAEANAJ)
Keywords
Where Scaleout is headquartered
LocationHeadquarters
- HQ city
- Uppsala
- HQ country
- Sweden
- HQ region
- Europe
Offices1 record
Markets served
Scaleout business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- Platform Subscription: Single-tenant deployment on customer cloud or on-prem infrastructure. Includes access to all capability modules, dedicated onboarding, and engineering support. Subscription covers the control plane, model registry, federated learning engine, and ongoing updates.
- Per-Node Runtime Licensing: Per-node runtime licensing for fielded systems with volume-based tiers. Organizations pay based on the number of concurrent edge devices deployed.
- Forward Deployed Engineering: Additional engineering support services scoped separately from the platform subscription. Available for customers requiring custom integration or specialized support.
- Academic and Research Licensing: Free licenses for accredited institutions and students for non-commercial research. Full platform access including capability modules under non-commercial use restriction.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Enterprise & Commercial deployments with full platform access |
| Subscription | Annual | Per-node runtime licensing for fielded edge systems |
| Freemium | Pay-as-you-go | Free licenses for accredited research institutions |
Go-to-market motion1 record
Distribution channels3 records
Marketing channels5 records
Scaleout product offering
Product offeringCore offering
Scaleout builds and licenses the Sovereign Edge AI Platform (Scaleout Edge), a federated machine learning infrastructure that trains, deploys, and operates AI models directly on edge devices — drones, vehicles, sensors, and industrial sites — where the data resides. Raw data never leaves the device; only encrypted weight updates propagate across the fleet. The company sells platform subscriptions, per-node runtime licensing, and forward-deployed engineering services to defence, aerospace, and industrial enterprise customers, with the Tactical CV Network as a specialized computer vision capability for counter-UAS and ISR operations.
Product overview
Scaleout builds the Sovereign Edge AI Platform, a federated machine learning system that trains AI models locally where data resides, without raw data ever leaving the edge device. The portfolio consists of the Scaleout Edge core platform plus specialized components: the Tactical CV Network (for computer vision in defense applications), Ground Node (GPU-accelerated edge station), Edge AI Companion (drone/vehicle compute module), and pre-built capability modules for Computer Vision, Drone and Autonomy, Speech and Language, and Adversarial Modelling. The platform supports deployment via Docker Compose (starter), Kubernetes (production), and Terraform provisioning on AWS and GCP. SDKs are available in Python, C++, and Kotlin under Apache 2.0. The company participates in NATO DIANA (FEDAIR project) and the TRUSTAM consortium for additive manufacturing AI.
Differentiator
Problem solved
Functional benefit
Brands
- Scaleout Edge: The Sovereign Edge AI Platform - federated machine learning infrastructure that trains AI models at the edge without moving raw data.
- Tactical CV Network
- Ground Node
- Edge AI Companion
Products and services
- Scaleout Edge (Sovereign Edge AI Platform) Core federated machine learning platform that manages the full AI lifecycle at the edge across fleets where data cannot move. Includes model registry, federated training engine, fleet observability, audit trail, and capability modules. Deployed as single-tenant software on customer cloud, on-prem Kubernetes, or air-gapped environments.
- Tactical CV Network Continuously improving computer vision capability for counter-UAS and ISR operations. Vision models adapt to operational conditions in the field with raw footage never leaving the site. Combines active learning, on-site annotation, local retraining, and federated weight updates across the network, integrating with ATAK and OpenTakServer for tactical command and control.
- Ground Node GPU-accelerated edge station deployed at bases, ranges, and forward positions. Runs live inference, automatically selects high-value sensor data, supports on-site annotation, and retrains models locally without requiring ML expertise. Serves as the on-site federation hub in the Tactical CV Network system.
- Edge AI Companion Lightweight on-platform compute module for drones, vehicles, and embedded sensors. Runs validated models autonomously without connectivity and syncs detections and updated models with the nearest Ground Node when a link is available.
- FEDAIR (Federated Aerial Intelligence for Recon) FEDAIR project offering federated aerial intelligence for contested environments, enabling ML models to adapt at the edge on drones, operator tablets, and field command posts using locally collected data with only model updates shared.
Quantifiable outcome
- A new threat pattern at one node becomes a fleet-wide capability within the same operational window, not the next release cycle
- +2 more outcomes
Companies that use Scaleout
Customer profileNamed customers9 records
Segments4 records
Ideal customer profiles3 records
Scaleout technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration14 records
AI capability14 records
Feature11 records
Scaleout partnerships and signals
Strategic signalPartnerships
Four partnerships are on record, tiered core and flagship.
- TRUSTAM Consortium (Interspectral, Saab, AMEXCI)coreVinnova-funded Swedish research consortium developing federated AI solutions for additive manufacturing quality control. TRUSTAM enables cross-site AI model sharing without exposing sensitive data, focusing on aerospace and defence sectors. Project runs through early 2028 with demonstrator phases and dissemination to the broader additive manufacturing community.
- NATO DIANAflagshipScaleout selected for NATO DIANA Challenge Programme with FEDAIR (Federated Aerial Intelligence for Recon) project. FEDAIR addresses keeping ML models effective in contested environments by enabling on-device model updates using locally collected data without transmitting sensitive information. DIANA provides technology developers with resources, networks and expertise to address critical defence and security challenges.
- OraclecoreCo-deployment with Oracle for tactical-edge federated learning. Part of Oracle's Defence Ecosystem, a global initiative to enhance defence capabilities with AI and cyber technologies. Oracle announced Scaleout as a member of the second cohort focusing on secure communications, AI situational awareness, autonomous systems, and cyber resilience.
- LeakPro Consortium (AI Sweden, RISE, AstraZeneca)coreVinnova-backed open-source privacy attack-testing consortium co-led by Scaleout. LeakPro provides tools to test whether federated models leak private data through model inversion, membership inference, and gradient inversion attacks. Also includes adversarial simulations for data poisoning, backdoor attacks, and label flipping.
Scale indicators2 records
Recent moves7 records
Expansion highlights6 records
Scaleout competitors and assessment
Company assessmentDirect peers
- FedML: FedML provides a federated learning and edge MLOps platform for training and deploying models across distributed devices and silos. Directly comparable to Scaleout's Scaleout Edge in product category (federated training engine, model registry, fleet orchestration), differing mainly in go-to-market focus and deployment maturity.
- Flower (Adap): Flower's open-source framework for federated learning enables training across heterogeneous edge devices, with a managed cloud service. Directly comparable to Scaleout's federated learning engine, sharing the same core technical foundation and target use cases in cross-silo and cross-device federated training.
- Edge Impulse: Edge Impulse (acquired by Qualcomm) is an edge AI platform for building, deploying and monitoring ML models on edge devices including microcontrollers and Jetson-class hardware. Comparable to Scaleout's Edge AI Companion and capability modules, with similar emphasis on device-side training and lifecycle management.
Emerging players
- Apheris: Apheris offers federated computing infrastructure targeted at life sciences and regulated industries where data cannot leave its owner. Directly comparable to Scaleout's cross-jurisdictional and regulated (GDPR/HIPAA) value proposition, focusing on pharma and biotech rather than defence.
- OpenMined: OpenMined is an open-source community building privacy-preserving and federated learning tooling including the PySyft framework. Comparable as a federated/privacy-preserving ML counterpart to Scaleout, though primarily a community/research project rather than an enterprise platform.
Broad incumbents
- IBM Federated Learning: IBM offers federated learning capabilities within its Watson Studio and Cloud Pak for Data platforms, targeting enterprise and regulated industries. Comparable to Scaleout's enterprise federated learning offering as part of a much broader AI/ML portfolio and installed base.
- NVIDIA: NVIDIA provides the Jetson edge AI hardware platform and TAO/DGX Cloud tooling that underpins much of the edge ML ecosystem, including Scaleout's Edge AI Companion. Comparable as a broad incumbent whose hardware/software stack defines the constraints within which Scaleout's platform operates.
- Microsoft Azure Machine Learning: Azure Machine Learning is a hyperscaler MLOps platform that increasingly incorporates privacy-preserving and federated training capabilities. Comparable to Scaleout Edge as a target for ML platform spend, with vastly broader capabilities and enterprise distribution.
- Google Vertex AI: Google Vertex AI is a managed ML platform with federated and differentially private training tooling. Comparable to Scaleout Edge as part of the broader enterprise ML platform market where Scaleout positions itself as a sovereign-data alternative for sensitive workloads.
- DataRobot: DataRobot provides an enterprise AI platform covering model building, deployment and monitoring across hybrid and edge environments. Comparable as a broad incumbent in enterprise MLOps that could absorb federated/edge learning capabilities Scaleout currently specializes in.
Market position
Strengths5 records
Weaknesses4 records
Competitive moat6 records
Key risks6 records
Key highlights6 records
Customer concentration
Scaleout social profiles
Digital presenceScaleout compliance and trust
Trust signalCompliance2 records
Scaleout financial estimates
Financial estimateRevenue estimate
Valuation estimate
Scaleout leadership team
Management profileNumber of profiles
Profiles1 record
Scaleout funding detail
Funding detailFunding overview
Funding rounds2 records
Investors2 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Scaleout 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 Scaleout
What does Scaleout do?
Scaleout builds and licenses the Sovereign Edge AI Platform (Scaleout Edge), a federated machine learning infrastructure that trains, deploys, and operates AI models directly on edge devices — drones, vehicles, sensors, and industrial sites — where the data resides. Raw data never leaves the device; only encrypted weight updates propagate across the fleet. The company sells platform subscriptions, per-node runtime licensing, and forward-deployed engineering services to defence, aerospace, and industrial enterprise customers, with the Tactical CV Network as a specialized computer vision capability for counter-UAS and ISR operations.
Is Scaleout a public or private company?
Scaleout is a private company. It is classified as venture growth investor backed and is currently operating.
When was Scaleout founded?
Scaleout was founded in 2017. It employs 11 to 50 people.
Where is Scaleout based?
Scaleout is headquartered in Uppsala, Sweden, in the Europe region.
How does Scaleout make money?
Four revenue lines are on record. Platform Subscription is the primary driver. The others are per-Node Runtime Licensing, forward Deployed Engineering and academic and Research Licensing.
Who are Scaleout's main competitors?
Direct peers on record are FedML, Flower (Adap) and Edge Impulse. Emerging players are Apheris and OpenMined. Broad incumbents are IBM Federated Learning, NVIDIA, Microsoft Azure Machine Learning, Google Vertex AI and DataRobot.
Does Scaleout have an API?
Yes. Scaleout Edge provides a REST API and Python APIClient for managing sessions, models, and fleet configuration. Clients can orchestrate models and fleets, query network state, manage clients, submit models, and retrieve results via HTTP/REST. The platform exposes gRPC services for Controller, Combiner, and Hooks. Edge clients connect to combiners over gRPC on ports 12080, 12082, etc. Clients can automate sessions through the REST API and Python APIClient. The platform also supports OpenTelemetry for exporting fleet telemetry to external monitoring systems like Prometheus, Grafana, or Datadog. Developer documentation is at docs.scaleoutsystems.com/en/v1.0.
What industry is Scaleout in?
Scaleout's product category is Federated Edge AI Software. Its primary akta.pro industry code is HDAAAKAI, Confidential AI & Privacy-Preserving ML (federated learning, MPC, HE, TEEs), with a secondary code of HDAAAJAI, Edge AI Deployment, Orchestration & OTA Model Updates. Its NAICS code is 54151 and its SIC code is 7372.