Our Clients

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Process data locally for security and agility with our edge AI solution

Top AI consulting company logo Top Artificial intelligence company icon Top IT services company

Many organizations in manufacturing, retail, logistics, and healthcare struggle with operational delays, network strain, and data privacy concerns as their AI workloads grow. With intelligent edge computing, we help companies deploy AI for real-time applications.

Our AI engineers understand unique industry and business requirements and accordingly build edge AI solutions that process data on all edge devices and environments. They support autonomous, real-time decision-making, so that companies like yours can reduce latency in their operations, ensure security and data privacy, and increase overall business agility.

Discovery and strategy workshops

Discovery and strategy workshops

We review your current devices and network, identify operational gaps, and outline real-time decisions that can move closer to the edge. And then, we define specific use cases and clear success criteria.

Architecture designing

Architecture designing

Our experts design the architecture, selecting the right mix of models, compute capacity, and device-level workflows so that they support stable and low-latency operations.

Imaging and integration

Imaging and integration

We build your imaging workflows and prepare data pipelines for your smart devices. And then, integrate visual and sensor inputs into the architecture so that each pipeline operates smoothly within the edge environment.

Edge AI model development

Edge AI model development

Our AI engineers develop and refine AI models to match your device capabilities and device types. Considering the operating conditions, we tune AI models for real-time output and make sure that your edge systems respond quickly and consistently.

System integration

System integration

Ultimately, we connect all components into a unified edge ecosystem. Our teams align models, pipelines, and device behaviors, and validate the results in real operating conditions.

Continued services

Continued services

Our support team provides monitoring and timely updates to keep your edge deployments accurate and secure. We also provide enhancements to meet your future requirements.

Benefits of edge AI

Real-time decision making

Real-time decision making

Applications like self-driving cars, industrial automation, healthcare, etc. require real-time analytics and decision making. Edge AI makes it easier by processing data locally.

Reduced latency

Reduced latency

Edge-based AI processes data at the edge. This minimizes the waiting time involved in moving data to and from the cloud, ensuring quicker reaction times.

Enhanced security

Enhanced security

By processing sensitive data at the edge, the system lowers the probability of data breaches and guarantees the security of vital information.

45% cost efficiency

Lower bandwidth costs

When data is processed locally, only substantial insights need to be sent to the cloud for analysis. This drastically lowers expenditure and bandwidth utilization.

Scalability

Scalability

Edge AI enables scalable solutions that can handle large volumes of data across distributed networks without overwhelming central systems.

Power efficiency

Power efficiency

Edge AI boosts power efficiency by processing data locally, reducing network data transmission, cloud reliance, and carbon footprint.

What are the intelligent edge AI solutions we provide?

Edge-AI-consulting-and-strategy

Edge device integration and connectivity

Our edge systems connect sensors, machines, and local hardware into one stable network. They create consistent data flow and support real-time decisions while maintaining secure operations across distributed environments.

On-device AI model development and optimization

Our AI models are built for your devices and tuned to work within their compute limits. They will give your operations faster responses, consistent output, and a smooth way to run intelligence directly on local processors and smart machines including industrial devices.

On-device AI model development and optimization_
Edge inference deployment and management

Edge inference deployment and management

Our solutions deliver real-time inferences on edge devices with controlled versioning, monitoring, and lifecycle management. It keeps decisions steady and accurate across environments so that you can maintain predictable performance at the device level.

Real-time analytics and operations

We provide analytics that run at the source and provide insights into operations as they take place. It can help your teams support automation and make faster decisions across plants, warehouses, retail floors, and field locations.

Real-time analytics and operations
Secure edge architecture and data governance

Secure edge architecture and data governance

In all the solutions we build, security sits at the core of the architecture. It can help you with localized data handling, strong access control, and governance practices that align with your industry and regulatory expectations. Your teams can run operations across edge devices in regulated or high-risk environments.

Edge-to-cloud orchestration and hybrid intelligence

Our AI engineers design solutions for edge-to-cloud orchestration. They blend edge processing with cloud-based intelligence to form one coordinated ecosystem. It helps you balance heavy workloads in the cloud with rapid device-level decisions while supporting your growth.

Edge-to-cloud orchestration and hybrid intelligence

Industry-specific use cases of Edge AI

Our specialized edge AI solutions are made to fit the requirements of different industries:

  • Utilize real-time sensor and computer vision data to minimize downtime.
  • Enhance product quality through advanced quality control measures.
  • Implement predictive maintenance to prevent equipment failures.
Explore manufacturing solutions

  • Provide real-time patient monitoring for immediate care.
  • Enable diagnostics in remote areas to improve healthcare access.
  • Enhance the efficiency of healthcare delivery with instant data processing.
Explore healthcare solutions

  • Use AI-powered analytics to boost customer satisfaction.
  • Manage pricing strategies effectively with real-time data.
  • Monitor and optimize inventory levels to reduce waste.
Explore retail solutions

  • Analyze images and sensor data from production line to identify defects in real-time.
  • Processing data at the source, edge AI identifies the reason of process deviations or defects.
  • Analyze sensor data from manufacturing equipment to predict failures or downtime.
  • Overhaul and shrink many older-technology chip designs without needing to update fabrication equipment.
Explore semiconductor solutions

  • Continuously monitor crop health for timely interventions.
  • Automate irrigation systems to conserve water and resources.
  • Optimize resource usage to increase agricultural yields.

  • Improve fleet management with real-time data and analytics.
  • Enhance safety and efficiency in autonomous driving systems.
  • Monitor traffic in real-time to optimize routes and reduce congestion.

Integrating existing algorithms with edge AI

Integrating-existing-algorithms-with-edge-AI

Edge intelligence gives your current machine learning algorithms a direct path to run on local devices. Our teams adapt and tune your existing models so that they operate smoothly within edge environments. It creates a stronger decision layer on your devices and brings more stability to your operations.

Reduce latency and maximize efficiency – Adopt AI on the edge now!

Start your edge AI journey

Tech Stack

  • Frameworks

  • tensorflow
  • pytorch
  • Onnx Runtime
  • Languages

  • c plus plus
  • python
  • java-logo
  • IDEs

  • Edge Impulse
  • vs-code
  • PyCharm
  • Deployment

  • Avnet /IOTCONNECT
  • AWS IoT Greengrass
  • Azure IoT Edge
  • Google Cloud IoT Core
  • Models

  • MobileNet (Edge-optimized)
  • YOLO (Tiny/Edge variants)
  • SSDLite
  • DistilBERT (Edge-optimized)
  • TinyML
  • Commercial Platforms

  • Nvidea Jetson
  • Qualcomm Snapdragon
  • Intel

Sucess story

Patent data intelligence system powered by Needle framework

Industry

Legal

Technologies

Angular, Python, AWS, LangChain, Needle

Challenges

  • Resource-intensive task of handling large-scale patent data
  • Responding to multilingual queries
  • Lack of ability to upload and compare scientific documents

Business Impact

  • REST APIs with NLP managed large-scale patent data
  • Multilingual query processing enhanced the platform
  • Document upload enabled auto-summary and comparison

advanced data intelligence system

Latest AI insights

Client testimonials

Explore how our AI solutions have driven transformation across diverse industries.

carrier specialty
Softweb Solutions provided the AI-driven platform we needed — one that not only streamlined our claim processing but also significantly enhanced our operational efficiency. I highly recommend Softweb Solutions to any organization seeking to modernize and streamline their processes with intelligent automation. They have truly helped us elevate our claims management to the next level.

Stan Kanterman

President

Fujifilm
Softweb has been our partner for over a decade in professional IT services including production and application development support. They support us on customer experience and cloud services as well.

Rimma Fuchs

IT Director

Close the gaps in your edge environment

Tell us what is slowing you down, and we will build a real-time decision layer that brings consistent intelligence to every device you run.