Our Partners

We work with a focused set of technology and delivery partners that strengthen our work across Edge AI, embedded vision, and connected devices.

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Strategic Collaborations

iENSO

iENSO is an Edge AI company specializing in computer vision solutions built on Ambarella. iENSO helps OEMs and product teams accelerate the deployment of AI-enabled vision systems.

Together, we bridge the gap between model development and embedded deployment, enabling customers to move from prototype to production faster, with solutions that are optimized for performance, power efficiency, and regulatory requirements.

www.ienso.com

Blues

Blues is a secure, cloud-connected IoT infrastructure provider that simplifies how physical products connect to the internet.

As a partner to Estigiti, Blues provides the connectivity and cloud layer that complements our embedded and Edge AI expertise. Together, we enable end-to-end IoT systems - from secure device firmware and AI at the edge to resilient cloud integration.

blues.com

Flexsolution

Technology with heart

“We solve problems. Some might say we do it by using technical solutions. They might not be wrong, but the most important success factor is probably our holistic way of doing business and therefore also how we solve the projects. We decomplex the projects, our track record speaks for itself.”

flexsolution.dk

Where These Partnerships Fit

Vision Hardware & Modules

Where a stronger hardware starting point matters for embedded vision, computer vision, and Edge AI device programs.

Connectivity & Cloud Backbone

Where device communication, telemetry, and remote manageability are part of the product.

Embedded Integration

Where partner technology still needs embedded systems integration before it becomes a working computer vision or connected-device product.

Productization & Field Readiness

Where embedded vision systems, Edge AI deployments, and connected products need maintainability, deployment quality, and real-world reliability.

Why These Partnerships Matter

Faster path to deployment

Stronger starting points around vision hardware, IoT connectivity, and system architecture reduce time spent reinventing the basics.

Better fit across the stack

The right partner setup helps align hardware, connectivity, software, and computer vision deployment realities earlier.

Less integration guesswork

Partnerships work best when they reduce uncertainty across embedded integration, device connectivity, and deployment architecture.

Broader delivery options

We can support projects that need more than one layer of capability, from embedded vision engineering to connected-system integration.

Better starting point

Teams do not always need to start from zero. In the right case, the ecosystem already provides a stronger base for Edge AI, embedded vision, or connected-device development.

Get in Touch

Have a project in mind? Let’s discuss how we can help you achieve your goals.