We are a digital strategy and design consultancy for the enterprise. For over 25 years, lds has helped market leaders realize…
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.
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Rstar is a full-service, specialized system integrator built to transform leaders in asset-intensive industries (manufacturing…
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Adlib is the accuracy authority in AI-driven document automation for high-stakes, regulated industries. As the critical layer in…
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Altexsoft is an AI-powered software engineering and technology consulting firm trusted as a partner in business transformation…
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Biz4solutions is a full-cycle software development company with 15+ years of experience delivering scalable, secure, and…
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Celstream is an established, global product engineering services company, having a rich heritage in product development and…
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Credera empowers the world’s leading brands to navigate the complexities of data, technology, and marketing. As the global…
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Tekhqs is a premier technology firm headquartered in lake forest, California, USA, with a strategic offshore development center…
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Detect technologies is a leading industrial AI company that is building innovative solutions and cutting-edge technology for the…
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We build custom software that moves industries forward. The global first line software team works across healthcare, real estate…
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Focaloid is a strategic technology partner enabling enterprises to unlock the full potential of data, intelligence, and connected…
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Hashbrown systems is a professional it services company that designs, builds, manages, and modernizes complex, mission-critical…
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Intellectyx is a next-generation data and AI transformation company specializing in custom agentic AI, generative AI, and…
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Iosys software India pvt. Ltd is a global AI and digital transformation company helping enterprises modernize, automate, and…
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We combine the power of people, data, and software to deliver unrivalled customer experiences. By maximising the value of…
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Jelvix is a global tech partner with over 15 years of experience. We deliver technology solutions to market leaders, scale-ups…
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As rockwell automation’s digital service arm, we bring digital solutions to product problems. We do that two ways. 1. We weave a…
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Data integration has become an existential problem for dtc companies. The average dtc company has their mission-critical data…
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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.