What Stream Analyze does

Stream Analyze Sweden AB is a private edge AI software company founded in 2015 in Uppsala, Sweden, with a secondary office opened in San Francisco in April 2024. The company develops the SA Engine platform, a combined main-memory database, computational engine, data stream processor, and inference engine that runs AI models directly on edge devices ranging from microcontrollers to servers. SA Engine ships in two variants: SA Engine Prime (8MB RAM minimum, for standard edge devices and servers) and SA Engine Nano (17kB RAM minimum, for microcontrollers and bare-metal deployment), with the latter relying on an SA Engine Twin for query optimization. The platform is complemented by SA Federation Services (Kubernetes-based fleet management for large device populations), SA Staging (pre-production testing environment), and SA Studio/SA VSCode (development IDEs). Analytics are expressed in the proprietary OSQL query language, which extends SQL with streaming and numerical operations and is dynamically compiled to native binary code at runtime.

The company targets enterprise OEMs and tier-one suppliers in automotive, commercial vehicles, manufacturing, industrial IoT, outdoor power equipment, and semiconductors. Named customers include Volvo Group, Iveco, Toyota Material Handling, Autoliv, Husqvarna, and ifm. The business model centers on enterprise software licensing (subscription/recurring) with quote-based pricing, augmented by a free downloadable evaluation version requiring email registration. The go-to-market combines direct enterprise sales (Book a Demo CTA), self-serve product-led adoption via free download, and a strategic channel partnership with Microchip Technology for US market distribution. The company has raised funding from the European Innovation Council (€2.6M, June 2022) and MOOR Holding (undisclosed, 2024) to support global expansion.

Name

Stream Analyze

Legal name

Stream Analyze Sweden AB

Website

https://streamanalyze.com

Company type

Private

Founded year

2015

Operating status

Operating

Headcount range

11–50 employees

Short description

Stream Analyze Sweden AB is a private edge AI software company founded in 2015 in Uppsala, Sweden, offering the SA Engine platform for running AI inference on resource-constrained devices. It serves enterprise OEMs in automotive, manufacturing, industrial IoT, and semiconductors with customers including Volvo, Iveco, and Husqvarna.

Ownership category

akta.pro rank

Product category

Edge AI Platform

NAICS

Software Publishers (513210), Custom Computer Programming Services (541511), Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming Services (7371), Services-Computer Programming, Data Processing, Etc. (7370)

akta.pro primary industry

End-to-End MLOps & ML Platform Suites (HDAAABAA)

akta.pro secondary industries

Model Deployment, Serving & Inference Platforms (HDAAABAF), AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI), Data & Analytics Platforms (Data Warehousing, Lakes, Streaming) (HDABAAAF)

Keywords

• Edge AI platform
• Real-time stream analytics
• Embedded AI inference
• Edge computing software
• Industrial IoT analytics

Headquarters

HQ city

Uppsala

HQ country

Sweden

HQ region

Europe

Offices2 records

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Infrastructure, Marketing or Sales, Operations

Revenue model

1. SA Engine Platform Licensing: Stream Analyze generates revenue through licensing its SA Engine software platform. The platform is described as downloadable with email registration required, suggesting a software licensing model. The company targets enterprise customers in automotive, manufacturing, and industrial sectors with multi-year contracts typical for enterprise software.
2. Enterprise Software Licenses: The company offers its edge AI platform to enterprise customers including Volvo Group, Iveco, Toyota Material Handling, Autoliv, Husqvarna, and ifm, indicating B2B enterprise software licensing as the primary revenue model.

Pricing tiers

Go-to-market motion2 records

Distribution channels3 records

Marketing channels6 records

Core offering

Stream Analyze develops and licenses the SA Engine platform, an end-to-end Edge AI software stack that lets enterprise teams develop, deploy, monitor, and operate real-time decision intelligence models directly on edge devices — from microcontrollers to servers. The platform combines a runtime engine (SA Engine, in Prime and Nano variants), a development IDE (SA Studio / SA VSCode / SA CLI), a staging environment (SA Staging) for pre-production simulation, and cloud-native fleet orchestration (SA Federation Services), with all analytics expressed in the proprietary OSQL language.

Product overview

Stream Analyze is a software company offering an end-to-end Edge AI platform called the Stream Analyze Platform, which consists of four integrated components: Engine (the kernel runtime), Federation Services (cloud-based fleet management), Staging (model testing/simulation), and Studio (the development IDE). At the core is SA Engine, available in two variants: SA Engine Prime (full-featured, 8MB RAM minimum, for standard edge devices and servers) and SA Engine Nano (ultra-compact, 17kB RAM minimum, for microcontrollers and resource-constrained devices). SA Engine Nano works in tandem with an SA Engine Twin (hosted in Prime) for query optimization. Development is done through SA Studio (standalone IDE) or SA VSCode (VS Code extension), with models tested via SA Staging before deployment to production fleets managed by SA Federation Services. All analytics are expressed in OSQL, the platform's proprietary computational query language that extends SQL with streaming and numerical capabilities, compiled on-the-fly to native binary code for the target device.

Differentiator

Problem solved

Functional benefit

Products and services

• Stream Analyze Platform End-to-end Edge AI software platform enabling enterprise teams to develop, deploy, monitor, and operate Decision Intelligence on edge devices ranging from microcontrollers to cloud-connected servers. Combines the SA Engine kernel, SA Federation Services for fleet management, SA Staging for simulation-based testing, and SA Studio for development, with all analytics expressed in OSQL. Targeted at enterprise engineering and AI/ML teams in automotive, manufacturing, and industrial IoT.
• SA Engine Prime Full-featured edge analytics runtime combining a main-memory database, computational engine, data stream processor, and inference engine for standard edge devices and servers. Includes a computer-algebra-based query optimizer and dynamic native compiler that generates optimized binary code for x86-64, ARM-Thumb-2, and AArch64. Supports distributed real-time stream analytics across federations of Prime instances and serves as the host for SA Engine Twin companions to Nano devices. Requires 8MB of RAM minimum.
• SA Engine Nano Ultra-lightweight edge analytics runtime for microcontrollers and resource-constrained devices. Requires only 17kB of RAM and 350kB of flash in its smallest configuration and can run on bare metal without an operating system. Operates autonomously and periodically synchronizes with an SA Engine Twin instance hosted on SA Engine Prime for query optimization and native code generation. Designed for embedding AI into previously non-connected machines such as chainsaws, lawn mowers, and power tools.
• SA Federation Services (SAFS) Cloud-native federation services built on Kubernetes and nginx for managing large-scale edge AI deployments of thousands to millions of connected devices. Provides interactive edge querying, model deployment management, PostgreSQL-backed persistent storage, and Microsoft Entra ID authentication. Deployable on any Kubernetes cluster on-premises or in public cloud. Targeted at enterprise operations teams running fleet-scale edge AI.
• SA Studio Integrated development environment (IDE) for developing and deploying real-time streaming edge AI models. Provides a no-code graphical interface with isomorphic mappings to textual OSQL queries, alongside low-code OSQL editing for analysts and engineers. Available as a standalone application and as a Visual Studio Code extension. Used by enterprise AI/ML engineers and domain analysts to build, test, and deploy OSQL-based edge AI models.
• SA Staging Pre-production testing and simulation environment that allows enterprise teams to deploy models to simulated hardware meshes, individual devices, or large proxied device fleets prior to production rollout. Supports iterative 'bend, break, repeat' testing of edge AI models at scale before shipping. Used by enterprise engineering and QA teams validating fleet-scale deployments.

Quantifiable outcome

• 100x improvement in inspection speed for quality control in manufacturing
• +4 more outcomes

Named customers6 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration22 records

AI capability11 records

Feature9 records

Partnerships

One partnership is on record.

• Microchip TechnologycoreChannel Partner/ Reseller/ Distributor · 26 April 2024Stream Analyze announced a partnership with Microchip Technology (Chandler, Arizona-based) to bring its edge AI technology to the US market. Microchip provides semiconductor solutions and embedded systems expertise, serving as a channel partner for distributing Stream Analyze's technology to American companies. This partnership was specifically announced as part of Stream Analyze's US market launch.

Scale indicators4 records

Recent moves7 records

Expansion highlights6 records

Direct peers

• Edge Impulse: Edge ML platform for embedded and microcontroller-class devices, offering data ingestion, model training, and deployment to MCUs. Closest direct competitor to SA Engine given its focus on tiny-footprint edge AI for industrial and IoT use cases.
• FogHorn (Johnson Controls): Edge AI platform purpose-built for industrial and manufacturing customers, focused on real-time analytics on machine and sensor data. Now part of Johnson Controls, competing directly with Stream Analyze in industrial verticals.

Emerging players

• Latent AI: Edge AI optimization platform focused on compressing and accelerating ML models for deployment on constrained hardware. Compares to SA Engine's small-footprint, high-performance edge inference positioning for industrial and IoT customers.
• Striim: Real-time streaming data integration and analytics platform with SQL-based stream processing. Compares to SA Engine's stream processing and OSQL capabilities, though Striim is more focused on enterprise data pipelines than microcontroller edge AI.
• Qeexo: Edge ML platform focused on sensor data (vibration, audio, motion) on resource-constrained devices. Direct overlap with Stream Analyze's predictive maintenance and anomaly detection use cases in industrial and consumer equipment.
• Hazelcast: Real-time distributed computing platform for stream processing and low-latency data workloads. Overlaps with SA Engine's real-time stream analytics and federation capabilities, though Hazelcast targets server/cluster deployments more than microcontrollers.

Others

• Confluent: Streaming data platform built around Apache Kafka, used for real-time data pipelines feeding edge and cloud AI systems. Indirectly comparable as ecosystem infrastructure that integrates with SA Engine for stream ingestion.

Broad incumbents

• AWS IoT Greengrass: AWS's managed edge runtime for IoT and AI inference, providing local compute, messaging, and ML inference on edge devices. Direct functional alternative to SA Engine but bundled into the AWS ecosystem with vastly larger R&D and sales resources.
• Microsoft Azure IoT Edge: Microsoft's edge runtime for deploying cloud workloads and AI models to edge devices, with deep Azure integration. Competes with SA Engine on enterprise edge AI deployments, especially for customers standardized on Azure IoT Hub.
• NVIDIA (Jetson / EGX platform): NVIDIA's edge AI hardware and software stack (Jetson modules, EGX platform, TensorRT) used for industrial AI inference at the edge. Direct competitive alternative for industrial customers deploying edge AI, though typically heavier-weight and hardware-coupled.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• GitHubgithub.com/streamanalyze/streamanalyze.github.io/discussions
• YouTubeyoutube.com/@streamanalyze
• LinkedInlinkedin.com/company/stream-analyze
• Xx.com/streamanalyze

Revenue estimate

Valuation estimate

Number of profiles

Profiles6 records

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Stream Analyze