SNEAK PEEK // CLEA 2.0
Be ready to deploy AI at the Edge in one click
GENERAL AVAILABILITY 29.10.2026
Industrialize Edge AI from pilot to production on any hardware and securely run devices, apps, and data from one platform.
- PoC-to-Production Continuity
- Hardware agnostic
- One unified experience
- Multi-Step AI Orchestration
Trusted by industry leaders
Leading companies build and run their connected products on Clea.
>400,000
connected products
>50
standard SECO products supported
>30
custom products built on Clea
Clea Framework
A comprehensive overview tracing telemetry and AI deployment from the Edge to the Cloud.
AI agents on top of every component
- Native MCP server: agents read telemetry, manage fleets and run campaigns in natural language
- External LLMs (MCP-compatible clients) or the LLM built into Clea
- OAuth 2.0 and SSO: the agent acts with the user’s identity and permissions
CLOUD INFRASTRUCTURE
EDGE PLATFORM
A modular framework: enable only the components you need. They work best together, but each one can be used on its own and connected to the systems you already run.
Key Value Pillars
Engineered for performance, security, and absolute control over your intelligence at the edge.
Fleet Operations at Scale
Manage large device fleets securely. OTA updates, remote configuration, and real-time monitoring across your entire IoT ecosystem.
Cybersecurity Lifecycle & CRA Enablement
Enterprise-grade security by design: end-to-end encryption, and support for the requirements of the European Cyber Resilience Act.
Deploy Anywhere, Manage Any Edge
Hardware agnostic orchestration. Run Clea on ARM, x86, microcontrollers or full edge servers with an identical streamlined developer experience.
What OEMs gain with Clea
Time to market
One-click deployment. Ready models, no-code apps and pre-qualified boards shorten the path from idea to field.
Cost to run
One stack, any hardware. One framework replaces separate OS, fleet, data and AI tools, across every silicon vendor.
Compliance
CRA and RED ready. Secure boot, signed OTA, SBOM and CVE management come with every release.
New revenue
Services for your clients. Multi-tenant, white-label platforms let OEMs resell apps and data services.
Open by design: no cloud or chip lock-in
Run Clea on any cloud, connect any device and code in your own language.
- cloud
Any cloud
Cloud-agnostic: Google Cloud by default, AWS, Azure, private cloud or on-premises on request. Kubernetes-based, managed or self-hosted.
- memory
Any device
Device-agnostic: Clea OS, Linux, Android, Windows, Zephyr and ESP32, on SECO and third-party hardware.
- code
Any language
Open-source SDKs for C, C++/Qt, Rust, Java, C#, Python, Go and Elixir. Device SDKs are Apache 2.0 licensed.
Built for the Industrial AI Era
Connect legacy PLCs and modern CNCs to extract real-time OEE. Enable predictive maintenance and reduce unplanned downtime across global facilities with local AI inferencing.
View case studychevron_rightTransparent Data-driven Pricing
One framework, pay-per-use based on device data consumption, with contracts configured to annual volume.
Compare Plansarrow_forwardStarter
For individual developers and small pilots.
- checkUp to 10 devices
- check5 GB / month storage
- checkStandard SLA
- checkShared Cloud Instances
Small
For growing startups and edge fleets.
- checkUp to 100 devices
- check25 GB / month storage
- checkStandard+ SLA
- checkCustom Dashboards
Pro
Professional fleet management with high scale.
- checkUp to 3,000 devices
- checkUnlimited data storage
- checkPriority Support
- checkCRA Compliance
Enterprise
For mission-critical production scales.
- checkUnlimited devices
- checkAdvanced SLA & KPIs
- checkMulti-region Support
- checkAccount Manager
Fully Dedicated
Dedicated infrastructure with full control.
- checkDedicated DB & Cloud
- checkBare Metal Performance
- checkOn-Premise options
- check24/7 Priority Support
Frequently Asked Questions
Everything you need to know about the Clea framework and edge deployment.
Clea is a comprehensive, industrial-grade software framework designed to connect, manage, and scale fleets of IoT devices. It provides an end-to-end Edge-to-Cloud infrastructure for telemetry data orchestration, over-the-air (OTA) updates, fleet management, and Edge AI deployment.
Clea is built on open-source foundations and a cloud-agnostic approach. While generic platforms focus heavily on cloud ingestion, Clea is purpose-built for the industrial Edge, offering native hardware integration via Clea OS, edge inferencing optimizations, and an extensible architecture deployable on-premises, on public clouds, or in hybrid environments.
Clea covers Edge AI in two steps. Clea Studio AI is a no-code environment that turns visual building blocks into containerized AI applications, using models from Clea App Hub. Clea App Hub is the marketplace that deploys these applications to edge devices via Device Manager.
Clea is developed and backed by SECO S.p.A., an Italian technology leader specializing in embedded computing, IoT, and artificial intelligence. SECO is listed on the Euronext STAR Milan stock exchange and operates globally, ensuring long-term industrial reliability.
No. Clea OS is recommended, but existing Linux devices can run the Edgehog runtime and the Astarte SDK instead.
The customer. Data stays accessible through open APIs and can be exported at any time.