Indeema Ecosystem

Reusable engineering intelligence for what comes next

Connected products should not require every team to rebuild the same foundations from zero. Indeema invests in reusable engineering systems and product technologies that can strengthen custom Connected Product Engineering.

Explore the ecosystem Why Cognitive IoT

INDEEMA ECOSYSTEMTwo complementary capability systems

Engineering & Digital Intelligence

Physical Product Technology

CUSTOMER PRODUCTConnected Product EngineeringApplied selectively around the product's users, constraints and evidence.

Engineering intelligence and product technologies can strengthen custom connected-product work without requiring the entire ecosystem.

Engineering advantage

Build on what the organization has already learned

Reusable context, reference systems and technology foundations can help teams frame decisions sooner. They do not erase product-specific constraints, verification work or human responsibility.

A drone airframe and an open connected device side by side on a prototype work table, with test instruments and a wall of plots behind

One connected model

Two systems. One customer-centered engineering model

Engineering & Digital Intelligence connects lifecycle context, decisions and evidence, alongside live-video orchestration and a hybrid cloud platform. Physical Product Technology provides reusable foundations closer to connected and physical systems. Relevant capabilities can converge around a customer product without becoming a mandatory stack.

ENGINEERING & DIGITAL INTELLIGENCEIndeema Loom

Requirements, architecture, knowledge, decisions, evidence and feedback remain connected.

Dark FactoryNested Loom capability

CastSeparate live-video orchestration technology

ICCPSeparate hybrid cloud platform

PHYSICAL PRODUCT TECHNOLOGYPhysical → intelligent → autonomous

The progression moves from a physical foundation toward intelligence closer to the system and increasingly autonomous product behavior.

HARDWARE FOUNDATIONElectronicsReusable electronics and hardware building blocks.
REFERENCE SYSTEMDrone KitAn integrated development and evaluation layer.
EDGE INTELLIGENCEIndeema CognitionIntelligence and runtime closer to the physical system.
PLATFORM DIRECTIONAveoniAutonomous and intelligent physical-system platform direction.

CUSTOMER PRODUCTConnected Product Engineering

Selective foundations support a custom architecture for the AI-native era; the customer product remains central.

Have a product decision to make?

Bring us the product decision you need to make next

Bring us the product context, constraints and decision. We’ll help frame the architecture across physical, digital and intelligence layers.

YOUR PRODUCT ENTERS THE SYSTEMDiscuss your architecture

Direct answer

What is the Indeema Ecosystem?

It is Indeema’s model for reusable capabilities across two domains: Engineering & Digital Intelligence includes Loom, Cast and ICCP, which are independent systems; Physical Product Technology includes the Aveoni physical and autonomous systems family. The ecosystem supports custom engineering – it is not a requirement to buy a predefined product.

Indeema Loom

Engineering intelligence around the lifecycle

Loom is Indeema’s engineering-intelligence foundation, built to connect product context, decisions and evidence across engineering work – from requirements to operations and feedback.

REUSABLEEngineering intelligenceHuman review remains in the loop

01Requirements
02Architecture
03Engineering knowledge
04Implementation
05Verification
06Operations & feedback

Persistent context can connect decisions and evidence from intent through feedback, subject to the controls and evidence required by each product.

WITHIN LOOM

Dark Factory

A governed capability for autonomous engineering execution, built as part of Loom.

Physical & autonomous systems

One family. A physical-to-autonomous progression

Aveoni is the umbrella family for autonomous and uncrewed systems. Electronics, Drone Kit and Indeema Cognition are related layers within it.

A small carbon drone airframe on a foam stand with its flight-controller and companion-computer stack exposed

01
PHYSICAL FOUNDATION
Electronics
Reusable avionics and hardware building blocks for compute, control, power and interfaces.
02
REFERENCE SYSTEM
Drone Kit
An integrated reference and development-kit layer that can bring selected Aveoni elements together for evaluation and engineering.
03
ONBOARD INTELLIGENCE
Indeema Cognition
The family’s onboard intelligence and runtime layer, connecting companion compute, video or sensor processing, and optional edge AI with flight-control systems.
04
FAMILY & PLATFORM LAYER
Aveoni
The umbrella product family for developing and integrating autonomous and uncrewed systems.

Explore UAV and autonomous-systems context

Indeema Cast · Live Video Orchestration

Live video orchestration for connected products

Cast is Indeema’s live-video orchestration technology: multiple live video sources are directed from the web into one program output.

Integration, deployment and operational requirements are evaluated for each project.

Discuss a video-enabled product

01Live sources

02Web direction

03Program output

Live sources are directed from the web into one program output.

Indeema ICCP · Hybrid Cloud Platform

Build once. Deploy across environments. Operate as one system

We’re building ICCP, a hybrid cloud platform for the integration, deployment and operation of connected products. ICCP builds on infrastructure already used by Indeema for application deployment and engineering automation. Our vision is to provide a unified foundation for connected-product systems running on Indeema-owned servers, customer infrastructure and supported external cloud environments.

Built on Indeema’s own infrastructure

Indeema already owns physical server infrastructure across multiple countries. It is the existing foundation for our ICCP direction: bringing connected-product integration, deployment and operations together across Indeema infrastructure, customer-owned environments and supported cloud platforms.

Infrastructure and deployment models

Indeema infrastructureExisting physical servers across multiple countries.
Customer infrastructureTarget deployment option on customer-owned servers and private environments.
External cloudFuture integration with supported cloud platforms.

Combined in hybrid deployments as the platform develops, and scoped for each project – not current hosting plans. Commercial availability has not been announced.

From product engineering to deployment and operations

ICCP is being developed to connect the engineering and operational sides of connected products, reducing the complexity of deploying and maintaining their software and infrastructure.

Explore an ICCP design partnership

Ecosystem × client product

Reusable foundations strengthen bespoke engineering

It gives teams reusable starting points and engineering context while the customer product remains shaped by its own users, environment, constraints and evidence.

A connected-product prototype board on a mat, with tweezers and a probe on one side, a laptop on the other and a notebook with a sketch in front

OUTCOMEYour connected productProduct-specific behavior and constraints

ENGINEERINGConnected Product EngineeringCustom architecture, implementation and verification

FOUNDATIONSReusable Indeema ecosystem capabilitiesApplied selectively – not as a mandatory bundle

Go deeper

Move from the model to engineering detail

See what Indeema has engineered for clients, the disciplines behind that work and the decisions that shaped it.

CASE STUDIESExplore connected-product case studiesWhat was engineered, and the decisions behind it.EXPERTISEExplore what Indeema can engineer todayHardware, firmware, cloud, edge, AI and applications.INSIGHTSRead the engineering decisionsTechnical context, trade-offs and constraints.

Direction · AI-native connected products

The future of connected products is AI-native

Intelligence is becoming part of the product architecture – not a feature added at the end.

Indeema’s direction is to engineer connected products so AI can work across the device, edge, cloud and applications from the start – using context, supporting or making decisions within defined boundaries, acting where appropriate, and improving through feedback.

Connected Product Engineering is evolving for the AI-native era.

Talk to an IoT Architect See where Cognitive IoT leads

01Connected
02AI-native architecture
03Cognitive
04Increasingly autonomous

DeviceEdgeCloudApplications

CONTEXTDECISIONS WITHIN BOUNDSFEEDBACK

AI-native means designing data, context, decision boundaries and feedback into the architecture so intelligence can be introduced where it creates product value. It does not require AI in every layer or autonomy in every decision.