What We Can Do For You

We provide computer vision services for embedded vision and Edge AI products — for OEMs, system integrators, and product teams building connected, vision‑enabled devices.

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Problems We Solve For Our Clients

Vision PoC vs target hardware

It works in a PoC, but not on the target device

A computer vision or embedded vision pipeline performs well in a controlled setup, but still has to run reliably on the actual camera, module, or embedded target. The harder work begins when Edge AI has to survive real device limits, runtime behaviour, and product-level integration. This is where embedded vision deployment becomes a vision system problem, not only a vision model problem.

Hardware fit

The platform may not fit the vision workload

The team is unsure whether the chosen platform can support the full computer vision workload across sensor throughput, image processing, inference, and surrounding system load. What looked viable in isolation may break under real compute, memory, power, and thermal constraints. That is often the deciding question in Edge AI hardware assessment for computer vision projects.

Production constraints & embedded plumbing

The vision stack breaks under production constraints

Latency, thermal drift, pipeline instability, or embedded bottlenecks start showing up once the system moves beyond the demo. Machine vision and embedded vision systems often need more work around runtime fit, buffering, integration, and robustness before they are ready for field use. In practice, this is the gap between a promising machine vision prototype and a rollout-ready vision system.

Maintainability / security

The device needs stronger maintainability and resilience

The product needs clearer update paths, better lifecycle reliability, and connected-device security that can hold up after launch. For embedded vision and Edge AI products, that often means stronger updateability, better vulnerability handling, and work around CRA-related readiness. For connected vision products, security and maintainability increasingly shape whether the system remains viable after release.

Feasibility & Discovery

Early work around constraints, use-case assumptions, hardware fit, integration risk, and delivery planning.

Hardware-Fit Benchmarking

Benchmarking target platforms to see whether the vision workload fits the device, not just the demo setup.

01

Embedded Deployment

Getting vision workloads onto target hardware and putting the surrounding system pieces in place.

PoC Rescue

Helping teams that have something working in prototype form but are stuck before a usable deployment path emerges.

02

Optimization & Productionization

Improving latency, thermal behavior, power use, and robustness before field rollout.

System Validation & Field Readiness

Testing, validation, and issue resolution work that helps embedded vision and Edge AI systems behave predictably outside the demo setup.

03

CRA & Cyber Resilience

Readiness work for connected vision devices, including remediation planning and vulnerability-handling workflows.

Connected Device Backbone

Work around connectivity, updateability, lifecycle reliability, and long-term maintainability.

04

Industries We Build For

AI Camera Solutions & Vision Devices

Camera products and vision-enabled devices that need on-device inference, stable pipelines, and fit for the target platform.

Physical Security & Access Control

Vision and biometric endpoints where latency, liveness, privacy, and device constraints all matter at once.

Agriculture Technology

Connected vision systems for monitoring and automation in greenhouses, farms, and controlled growing environments.

Drones & UAV Systems

Edge vision for unmanned platforms where weight, power, bandwidth, and response time leave little room for waste.

Our Expertise

Vision-Capable Embedded Platforms

Working across embedded platforms used for vision workloads, including Ambarella, Hailo, NXP, Qualcomm, and Rockchip.

Sensor to Decision Pipeline

From sensor input and image pipeline work to on‑device inference and the logic that turns recognition into action.

On-Device Inference

Getting computer vision workloads to run on the target device, with the surrounding system pieces in place.

Performance & Productionization

Improving latency, power, thermal behavior, and robustness before the product reaches the field.

Connected Vision Security

Supporting certifiability and cyber resilience work for connected vision devices, including CRA-related implementation needs.

Device Integration & Maintainability

Handling the device-side integration work that affects updateability, lifecycle reliability, and long-term maintainability.

Engagement Models

Development and Integration

Accelerate your product development with Expert Edge AI and Embedded Systems Engineering. Shorten time-to-market, reduce development risks and scale from prototype to production with confidence.

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Consulting

Consult your product strategy, develop roadmaps, and research technology feasibility with our team of seasoned experts. Prototype, validate, and ensure security by design from the very beginning of your project.

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Talent Support

We will help you find the right talent to build your embedded vision system. This includes executive search, as well as interview support and technical assessment.

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How Teams Usually Start With Us

Discovery Sprint

Early work around constraints, hardware fit, integration risks, and delivery planning.

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Discovery Sprint

Embedded Deployment Sprint

Focused work to get vision workloads running on target hardware.

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Embedded Deployment Sprint

PoC Rescue / Productionization

For teams that have something working in prototype form but are stuck before production.

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PoC Rescue / Productionization

Let’s Build Something Great Together

No matter the size or complexity of your project, our team is ready to provide the right solutions for your business needs

Our Partners

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

Our Articles

August | 2024

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August | 2024

Tempus convallis ac amet mauris in volutpat viverra lorem tortor 3x

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August | 2024

Tempus convallis ac amet mauris in volutpat viverra lorem tortor 3x

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