At alxtel, we lead the way in telecommunications and technology, providing cutting-edge solutions for the global market. From…
5.0
Sub-Category
Digital Transformation Consulting Providers
For companies whose systems, processes or customer experience have outgrown what their current setup can handle, and who need outside help to rebuild, connect or automate them.
Itrex is an AI consulting and implementation company that builds systems meant to work in the real world, at scale, and under…
4.9
Royal cyber is a trusted global it consulting & digital transformation partner, empowering enterprises for over two decades to…
4.7
Computools is a global software development and consulting company with over 250 engineers and 400+ completed projects. We hold…
4.0
1 reviews
Rstar is a full-service, specialized system integrator built to transform leaders in asset-intensive industries (manufacturing…
4.0
Catalyte is an AI-enabled workforce company. Its proprietary technology uses 500+ data points to discover and develop…
Unrated
Focaloid is a strategic technology partner enabling enterprises to unlock the full potential of data, intelligence, and connected…
Unrated
Intellectyx is a next-generation data and AI transformation company specializing in custom agentic AI, generative AI, and…
Unrated
Opsworks co. Helps your business win with reliable infrastructure and cloud solutions. As an AWS advanced tier partner and iso…
Unrated
Orasi is a devsecops innovator enabling the acceleration, delivery, and adoption of software applications and cloud…
Unrated
People10 (www.people10.com) is a fast-growing digital transformation and product engineering leader based in us and India. We…
Unrated
Through a combination of atlassian, enterprise service management, software development, devops and agile capabilities, praecipio…
Unrated
Sid global solutions is a leading AI-first digital transformation company delivering full-stack, end-to-end innovative platform…
Unrated
Developers and marketers are always looking for ways to make their product better than others. As the implementation of new…
Unrated
𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗦𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗦𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 𝗳𝗼𝗿 𝗕𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 At synapse, we build…
Unrated
Whether you are evaluating a technology, have an idea that you want to implement, or are in the middle of an implementation and…
Unrated
Xenonstack is the fastest-growing data and AI foundry for agentic AI systems to enable people and organisations with real-time…
Unrated
The work here is rebuilding how a company runs on technology: replacing a legacy system that nobody can safely change, building custom software where an off-the-shelf tool no longer fits, moving infrastructure to the cloud, wiring up an ERP so finance and operations see the same numbers, or building the data pipelines and models that let a business actually use the data it collects. When it's done, a task that used to take a team a week of manual work runs on its own, departments stop keeping separate spreadsheets of the truth, and decisions get made on current information instead of last quarter's report.
People end up here because something has stopped scaling. A system built for 50 people is being asked to run 500. An acquisition has left two companies with two sets of software that don't talk to each other. A customer-facing app is slow, buggy, or impossible to change without breaking something else. Or a project has been agreed at board level — move to the cloud, replace the ERP, put AI into the product — and the internal team either doesn't have the time or hasn't done this kind of build before and doesn't want to learn on a project this expensive to get wrong.
Providers in this space differ mainly in where they start and how they're structured to work with you. Some lead with strategy and assessment — mapping current systems and processes before recommending what to build — while others are engineering-first and will start writing code against a defined scope. Some specialise in a platform (a particular ERP, cloud provider, or CRM) or a technology (machine learning, data engineering), others work across the stack but within one industry. Engagement models vary too: fixed-scope project delivery, ongoing staff augmentation embedded in your team, or a managed service that keeps running the system after go-live. Worth comparing directly: whether they've built on your specific stack before, whether pricing is time-and-materials or fixed price, how much of the team is offshore versus local, and whether they disappear after launch or stay on to run and improve what they built.