Cloud Integration

Challenges

Siloed data and applications

Without proper integration between cloud services and cloud or on-prem applications, data and processes may become siloed, leading to data fragmentation and duplication, and hindering seamless flow of information and efficient business processes.

Inefficient workflows

In the absence of robust cloud integrations, workflows and processes may become fragmented and manual, resulting in inefficiencies, increased risk of errors, and reduced productivity.

Limited interoperability

Lack of standardization and interoperability among different cloud services, platforms and applications can make it difficult to integrate diverse cloud-based technologies, resulting in increased complexity and effort in managing and maintaining multiple integrations.

Reduced agility and innovation

Without proper cloud integrations, organizations may face challenges in quickly adapting to changing business requirements, leveraging new technologies, and innovating, limiting their ability to stay competitive in today's fast-paced business landscape.

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Cloud Integration Offer

Cloud integration refers to connecting and integrating different cloud services, applications and systems (both cloud or on-prem) to work seamlessly together.

In today's digital landscape, organizations often use multiple cloud services, platforms, and systems to support various business functions.

These systems may be hosted in different cloud environments or hybrid clouds with different data formats, protocols, and interfaces.
By integrating different services and systems, organizations can achieve enhanced connectivity, streamlined operations, improved efficiency, and real-time data exchange.

We can help if your company needs:

Develop an Integration Strategy

Build the right Integration Architecture

Plan and implement an integration project

Ensure continuity of integration processes for various models: cloud-to-cloud, cloud-to-on-premises or their combination

Cloud Services

Cloud Migration

Move your workloads to the cloud and see how your business moves ahead of your competition.

Cloud Migration

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What will you gain by integrating all

Enhanced connectivity

Different cloud services, applications, and systems communicate and exchange data seamlessly.

Improved efficiency and productivity

Business processes are streamlined and workflows are automated, eliminating manual and repetitive tasks, reducing errors and increasing efficiency and productivity.

Agility and scalability

Better flexibility and scalability to adapt to changing business needs, such as adding new applications, services, or data sources and adjusting workflows or processes.

Boosted innovation and competitive advantage

Enabling organizations to leverage the power of different cloud services and platforms, helping them innovate, develop new products or services, and gain a competitive advantage.

Enhanced data visibility and insights

Seamless data integration and synchronization across different cloud services, allowing organizations to gain a holistic view of their data and access real-time insights.

Simplified management and maintenance

A centralized approach to managing and maintaining integrations reduces the complexity and effort of managing multiple connections or custom-coded integrations.

Partners

What is it like to work with us

1

Discovery

Interview and workshop with a Customer
Assessment and audit of all systems & platforms

2

Design

Decision point on next steps and SOW preparation
Building Cloud Integration Plan

3

POC

4

Build and Execute

Integration of target systems & platforms

5

Validate

Analysis of results
Report preparation
Corrections and changes

6

Hand-Over

7

Support and Maintenance

Get the most out of all technology you already have or plan to use!

Set up an appointment with us for a short, non-binding conversation. We will determine together how to integrate all your clouds, systems, applications and platforms to work seamlessly as one.

Selected services and solutions supported by cloud

Connectivity and System integration

The combination of different source systems to get useful insights.

Connectivity and System integration

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Reviews

We are really happy that we did it and it was a healthy investment during the past few months.

Phillip Morris International appreciates the TT PSC's contribution to our activities. The cooperation on the project went seamlessly and showed the great business potential of cloud solutions.

The team at TT PSC are true professionals. While working with them for nearly a year in migrating our PLM system to their managed service (on AWS) and developing enhancements to the applications they have demonstrated a commitment to our success and satisfaction.

Most impressive is their cooperative and transparent approach to guiding us through the process as well as the depth of their knowledge in both our applications and the infrastructure needed to support those. I look forward to continuing to work with them through our PLM and Digital Transformation journeys."

Blog

09 July 202610 min

Industrial Connectivity: A Practical Guide for Manufacturers

A pilot that works with 50 tags stalls at 50,000. What industrial connectivity actually is, why digital programmes fail at the data layer, and how to deploy it right.

26 June 20266 min

AI-Driven Legacy Service Migration: A Pragmatic Approach to Modernizing Ruby to Java

AI-driven legacy service migration: a pragmatic, spec-driven approach to modernizing Ruby on Rails monoliths into Java with Spring Boot using LLMs to accelerate analysis, design, testing, and deployment while keeping humans in control of architecture and business logic.

23 June 20266 min

What If Your Factory Could Tell You Where the Next Problem Will Come From?

When manufacturers talk about AI, the conversation usually starts with use cases and ends with integration complexity.When manufacturers talk about AI, the conversation usually starts with use cases and ends with integration complexity. In this interview, Adam Gąsiorek, CTO of TT PSC, and Ayush Tiwari from Velotic cut through the noise, sharing how a semiconductor manufacturer turned ignored process signals into a quality breakthrough, and why a manufacturing co-pilot can be built faster than most teams expect.

19 June 20268 min

Windchill PLM in Automotive Industry: Modeling Engineering and Manufacturing Complexity

The automotive industry produces a very broad portfolio of products, ranging from simple machined parts to complex assemblies whose final properties depend as much on materials engineering and manufacturing process control as on geometry design. Introduction Manufacturing is commonly divided into two paradigms: discrete and process manufacturing. In discrete manufacturing, products are built as countable units that can […]

17 June 20263 min

Turning AI Ambition into Execution: Delivering Customer Value with PTC Orbit Through Leading Global System Integrators

Industrial organizations are no longer asking whether AI belongs in asset-intensive operations; they are asking how to execute. How do we move from fragmented asset data and isolated pilots to repeatable enterprise-wide value? How do we ensure AI is trusted, adopted, and embedded into day-to-day decision-making? PTCs Orbit was built to answer those questions. As PTC’s latest […]

16 June 202610 min

NIS2 and OT Networks: What the Directive Really Means for Your Manufacturing Plant

In September 2025, Jaguar Land Rover shut down production across the UK, Slovakia, and Brazil for five weeks after a ransomware attack. Reuters reported losses of around £50 million a week, with 33,000 staff sent home and hundreds of suppliers unable to operate. The intrusion started in IT, but what stopped production was how deeply […]

10 June 20269 min

How AWS’s AI-Driven Development Lifecycle (AI-DLC) defines an AI-Native methodology for fully integrated AI capabilities

03 June 20263 min

Physical AI: More Than Chatbots

Industrial AI is moving beyond chatbots and dashboards toward systems that understand the physical world of factories. From spatial computing and reality capture to cloud HPC and wearable devices, Physical AI is redefining how industrial environments are designed, operated and optimized. This article explores why the next generation of industrial competitiveness will depend on combining AI with spatial and operational intelligence.