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

Physical → intelligent → autonomous is a capability progression, not a technical dependency.

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.

Conceptual architecture only. It does not assert availability, universal compatibility, mandatory adoption or technical dependency.

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, integration and cloud/data capabilities. 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

ICCPEnabling engineering integration layer

CastCloud, data and live-source connectivity capability

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, ICCP and Cast; 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 presented as an engineering-intelligence foundation: a way to connect product context, decisions and evidence across engineering work. Its public treatment stays at the workflow level; it does not expose internal architecture or claim that every ecosystem technology runs on Loom.

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. It is part of the Loom architecture, not a peer product or a replacement name for Loom.

ENABLING LAYER

ICCP

An engineering integration layer connecting relevant systems and context. It is visually and commercially secondary to Loom and has no standalone route.

Physical & autonomous systems

One family. A physical-to-autonomous progression

Aveoni is the umbrella family. Electronics, Drone Kit and Indeema Cognition are related layers within it – not four unrelated offers and not a promise of a fixed dependency chain.

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. Ownership and component status remain subject to product review.
02
REFERENCE SYSTEM
Drone Kit
An integrated reference and development-kit layer that can bring selected Aveoni elements together for evaluation and engineering. No purchase or availability claim is made.
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

Cast · Engineering & Digital Intelligence

Connect live sources with people and workflows

Cast is treated here as a cloud, data and live-source connectivity capability for orchestrating multiple live video sources through web-based direction into a program output. Supported integrations, performance and availability are intentionally not asserted.

01Live sources

02Web direction

03Program output

A bounded workflow description – not a compatibility or broadcast-readiness claim.

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

Evidence paths

Move from the model to engineering detail

Case studies and insights remain the evidence layer. Explore relevant engineering contexts without treating shared terminology as proof that a specific ecosystem technology was used.

CASE STUDIESReview permissioned project evidencePublication gates remain visible.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.