Work with a team that understands the importance of aligning business objectives with technical solutions. We offer exceptional end-to-end partnership, encompassing every stage from concept creation to delivery and long-term maintenance.
Explore our clients' journeys, where business transformations take flight and aspirations become accomplishments.
Maruti Techlabs made a good first impression when they were able to deliver on an integration project for one of the company's clients. The internal stakeholders are particularly impressed with the team's field expertise, exceptional approach to project management, and timeliness.
The company has been happy with Maruti Techlabs’ work. The team manages the project excellently, and their development and deployment work has been organized. Their resources deliver work on schedule and provide accurate scoping for tasks and timelines. Overall, the partnership is a success.
The platform developed by Maruti Techlabs had excellent performance and response time, processing data through 23 different components in a matter of seconds. The team was very collaborative, communicative, and transparent, and they were very honest about their capabilities.
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Despite gaining popularity as an effective property listing service, cumbersome technologies slowed down our client's website. Our client - DelightfulHomes - wanted to provide an elevated digital experience to its users by including different features like property-centric filters, cross-property search, and more on the website.
We helped transform the website from a cumbersome listing platform to an efficient and responsive inventory with refreshing layouts, improved navigation, customizable search options, and filters for better conversions and site performance.
Check how the combination of enhanced search features and a chatbot on the website increased the revenue for DelightfulHomes.
Our client, UKHealth, is one of the largest healthcare service providers in the UK. To maintain patient records, data teams of UKHealth would have to manually assess, classify, and update the data from different diagnosis letters into specific categories.
Looking at the massive volume of letters to be read and manually classified, we designed a machine-learning model to automatically extract the data from letters and classify them without human intervention.
Check how implementing the machine learning model helped UKHealth get a 93% increase in patient data management accuracy.