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Build Harder, Scale Faster with Our Composable GenAI Platform

Seamless Integration

Our data platform integrates effortlessly with your existing data solutions, ensuring a smooth transition without risking your current investments.

Adaptive Platform

Our data platform is designed for flexibility and adaptability and grows along with you. You can compose the Data Architecture you need and with seamless integrations and rich customisations, it is optimised to meet any business need.

Unlock Versatility

From traditional BI and analytics to advanced computer vision and machine learning, our platform empowers a wide range of use cases. Designed for full ease of use and capable of handling complex processing, it transforms your data into actionable insights.

Build Once, Run Everywhere

Our platform ensures seamless deployment across edge, on-premises, and cloud environments, even combined in powerful grids, enabling consistent performance anywhere your data needs to go.

Transform your data architecture and gain more value from your data with our flexible cloud-native solutions for edge, cloud, and AI

Our approach

Assess

Objectives and Requirements: Together, we identify the business objectives and requirements for the data platform. This includes understanding data workloads, security needs, and scalability requirements.
Evaluate Current Infrastructure: We analyze the existing IT infrastructure to determine which components can be reused and which need to be replaced or upgraded.
Stakeholder Interviews: We conduct interviews with stakeholders to understand their needs and expectations.
Risk Analysis: We identify potential risks and challenges that could impact the project.

Design

Design

Architecture Design: We develop a detailed architecture for the data platform, including hardware, software, networks, and security components.
Data Model: We design the data model, including the structure of databases, data warehouses, and data lakes.
Integration: We create a plan for integration with existing systems and applications.
Prototyping: We start by creating prototypes or proof-of-concepts to validate design choices.

Build

Build

Infrastructure Setup: We implement the hardware and software components according to the design.
Data Migration: We carry out the migration of existing data to the new platform, including data cleaning and transformation.
Development: We build the necessary applications and services that run on the data platform.
Testing: We conduct extensive tests to ensure all components function correctly and meet the specified requirements.

Implement

Implement

Deployment: Deploy the data platform to the production environment.
Training: Provide training for users and administrators to familiarize them with the new platform.
Monitoring and Maintenance: Establish monitoring and maintenance processes to ensure the platform’s performance and availability.
Feedback and Optimization: Collect feedback from users and implement optimizations based on their experiences.

Continuous improvement

At FIDDS Tech, we help you becoming an Experimental Enterprise. With our platform, tools and data products we support your Devops- and Data strategy to enable data driven decisioning and save time for innovation.

Use Cases

Edge AI-Platform

An Edge AI platform processes data locally on devices such as sensors, cameras, and microcontrollers, without relying on a centralized cloud server.

This approach allows for real-time data processing and decision-making directly at the source, which can significantly reduce latency and enhance data privacy

This brings several benefits::

Reduced Latency: Processing data locally means faster response times, which is crucial for real-time applications such as autonomous vehicles and industrial automation.
Improved Privacy: Data is processed on the device, reducing the need to transmit sensitive information over networks.
Lower Bandwidth Usage: By processing data at the edge, the amount of data sent to the cloud is minimized, saving bandwidth and reducing costs.
Enhanced Reliability: Edge AI can continue to function even if the device loses connection to the cloud.

Learn more about why Edge AI platforms are so important and how FIDDS can help you.

Data Platform (Data lakehouse)

A Data Lakehouse combines the advantages of data lakes (storing unstructured data like videos and images) and data warehouses (storing structured data like tables). It offers an integrated solution for storing, processing, and analyzing large datasets

Here are some key features:

Combined Storage: A data lakehouse uses object storage to store both unstructured and structured data. This means you can keep different types of data, such as text, audio, and video, in one platform.
Flexible Data Processing: The platform supports both batch processing and real-time data processing, allowing companies to analyze data quickly and efficiently.
Advanced Analytics: By combining data lake and data warehouse functionalities, organizations can perform complex analyses and gain deeper insights.
Scalability and Cost Savings: Data lakehouses are designed to be scalable and cost-effective by utilizing cloud storage and efficient data processing techniques.

Would you like to learn more about how a data lakehouse can help your organization?

Plan free consult

Would you like to know more about how we can help you design and/or build a data platform?

Call Us Plan free consult

FIDDS TECH

part of FIDDS Group B.V.
Straatweg 62,
Ground Floor
3621 BR Breukelen
Utrecht, NL

085 060 35 00
info@fidds.nl

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