We are a reputable web scraping company that offers our customers premium data solutions. After determining your pain spots, we deliver you tailored solutions for real-time data scraping. We serve various industries with a client-focused approach and offer a wide range of data services.
By assisting companies with their ongoing data requirements, we help them expand and increase their revenue growth. Our fantastic team of experts is here to help you navigate the ever-changing data world.
You can find six islands of data services at DataDwip. Choose the island (Dwip) you wish to visit, and let’s go out on this adventure together to explore the limitless Dwip of Data.
We are a reputable web scraping company that offers our customers premium data solutions. After determining your pain spots, we deliver you tailored solutions for real-time data scraping. We serve various industries with a client-focused approach and offer a wide range of data services.
By assisting companies with their ongoing data requirements, we help them expand and increase their revenue growth. Our fantastic team of experts is here to help you navigate the ever-changing data world.
You can find six islands of data services at DataDwip. Choose the island (Dwip) you wish to visit, and let’s go out on this adventure together to explore the limitless Dwip of Data.
AI Overview
Performance snapshot
Data Dwip is a technically versatile vendor specializing in custom software development, AI/ML solutions, web scraping, and data engineering, serving primarily small-to-mid-size companies across IT, financial services, and adjacent sectors. The review profile is overwhelmingly positive across all five evaluation categories, with no recurring negative patterns identified. Multiple anchor reviews cite specific quantified outcomes—such as a 50% productivity increase and an 80%+ AI accuracy rate—alongside named technologies (React, Node.js, AWS, TypeScript), supporting Strong ratings across the board. The sole minor concern noted across the entire dataset is an isolated mention of multiple points of contact and minor data defects, neither of which represents a systemic issue.
Performance breakdown
Technical expertise
StrongMultiple reviews cite named technologies including React, Node.js, TypeScript, AWS, and machine learning/NLP frameworks. Clients across AI, blockchain, RPA, and web scraping engagements consistently praised the depth and problem-solving ability of Data Dwip's engineering teams.
Project management & delivery
StrongAgile methodologies with sprint planning, Jira, and Confluence are consistently referenced. One client reported a beta launch delivered one month ahead of schedule; another noted a replacement developer supplied within 24 hours of an unplanned absence, demonstrating strong delivery resilience.
Communication & collaboration
StrongClients across multiple geographies—France, Australia, the UK, and North America—praised daily updates, prompt responses, and use of Slack, Zoom, email, and virtual meetings. Transparent communication and open dialogue were highlighted as defining partnership qualities in numerous reviews.
Reliability
StrongReviewers consistently reported on-time delivery and seamless post-deployment stability. A chatbot described as 'seamlessly integrated with prompt bug fixes' and a banking platform 'deployed without issues' are representative anchors. One reviewer noted minor data defects, but these were promptly corrected.
Client satisfaction & outcomes
StrongQuantified outcomes are documented across multiple engagements: a 50% productivity increase, an AI fill-rate accuracy of over 80%, and 50% recovery of time spent on manual data collection. All Clutch sub-metric ratings (quality, schedule, cost, willingness to refer) score 5.0 across the dataset.
Best for
Data Dwip is best suited for SMEs and mid-market firms seeking AI development, web scraping, custom software, or staff augmentation. Their agile delivery model and rapid team-scaling capability make them a strong fit for time-sensitive or evolving digital transformation projects.
Clients info
Data Dwip primarily serves small-to-mid-size companies in information technology, financial services, and data/analytics sectors, with several engagements in banking and healthcare-adjacent projects. Most clients are CEOs or COOs of firms with 11–200 employees. Project budgets typically range from under $10,000 to $200,000, with one engagement reported in the $200,000–$999,999 range. Primary industries represented include Information Technology, Financial Services, Data & Analytics, Banking, Outsourcing & Offshoring. Typical client size bands include 1–10 Employees, 11–50 Employees, 51–200 Employees, 201–500 Employees. Common project budget ranges include Less than $10,000, $10,000 to $49,999, $50,000 to $199,999, $200,000 to $999,999.
Review strength
The assessment draws on 43 reviews across two platforms (one professional review platform and one generalist platform), with the majority of reviews published between late 2024 and early 2025. Four brief generalist-platform reviews offer limited project detail and were weighted accordingly. The overall dataset is current and dense with project-specific information. Review date range: Sep 2022 - Mar 2025.
Performance breakdown
Technical expertise
StrongMultiple reviews cite named technologies including React, Node.js, TypeScript, AWS, and machine learning/NLP frameworks. Clients across AI, blockchain, RPA, and web scraping engagements consistently praised the depth and problem-solving ability of Data Dwip's engineering teams.
Project management & delivery
StrongAgile methodologies with sprint planning, Jira, and Confluence are consistently referenced. One client reported a beta launch delivered one month ahead of schedule; another noted a replacement developer supplied within 24 hours of an unplanned absence, demonstrating strong delivery resilience.
Communication & collaboration
StrongClients across multiple geographies—France, Australia, the UK, and North America—praised daily updates, prompt responses, and use of Slack, Zoom, email, and virtual meetings. Transparent communication and open dialogue were highlighted as defining partnership qualities in numerous reviews.
Reliability
StrongReviewers consistently reported on-time delivery and seamless post-deployment stability. A chatbot described as 'seamlessly integrated with prompt bug fixes' and a banking platform 'deployed without issues' are representative anchors. One reviewer noted minor data defects, but these were promptly corrected.
Client satisfaction & outcomes
StrongQuantified outcomes are documented across multiple engagements: a 50% productivity increase, an AI fill-rate accuracy of over 80%, and 50% recovery of time spent on manual data collection. All Clutch sub-metric ratings (quality, schedule, cost, willingness to refer) score 5.0 across the dataset.