# InData Labs InData Labs Reviews (20), Pricing, Services & Verified Ratings - Premier Verified - 4.9 out of 5 average review rating - 4 connections joined InData Labs's Network [Visit Website](https://indatalabs.com/?utm_source=clutch.co&utm_medium=referral) [Get a Custom Proposal](https://clutch.co/profile/indata-labs) **Your Data Science & AI Business Partner** **About us** InData Labs is a leading data science firm and AI-powered solutions provider. On a mission to bring the power of AI to every business to accelerate growth, we help organizations of any size create intelligent products and services and shape intelligent business processes. From early-stage startups to large enterprises, customers choose us to turn complex data challenges into measurable business outcomes. **Our work at a glance** Our AI and Big Data solutions and consulting services enable our clients to get valuable insights from their data, automate repetitive tasks, enhance performance, add AI-driven features, and prevent cost overruns. The high quality of our work is ensured by the way we operate: we use proprietary technologies, maintain exceptional customer care, continually invest in talent development, and operate our own R&D center. Since 2014, we have successfully implemented 150+ projects across industries worldwide: - 150+ projects worldwide - Healthcare, FinTech, AdTech, E-commerce, Retail, Supply Chain, Logistics, Gaming, Manufacturing, and more. - Certified AWS Partner **We are experts in** - AI Agents & Agentic Systems - Generative AI (custom LLM solutions, RAG pipelines, GPT-based applications, Natural Language Processing) - Cognitive Computing (sentiment analysis, risk assessment, fraud detection, behavioral recommendations) - Predictive Analytics, Forecasting, and Recommendation Systems - Computer Vision - Data Retrieval, Extraction, OCR, and Document Intelligence - Cloud Advisory and Big Data Engineering (architecture design,  DevOps / MLOps, data lakehouse design, build & maintain, migrations & integrations, BI & vizualization) - AI Research and Development and Dedicated Teams / Staff Augmentation. ## Company Information - Minimum project size: $10,000+ - Hourly rate: $50 - $99 - Number of employees: 50 - 249 - 3 Locations: - Nicosia, Cyprus (Headquarters) - Vilnius, Lithuania - Miami, FL - Founded in 2014 - 3 languages: English, Spanish, Arabic ## Services, Focus Areas, Industries, and Clients ### Service Lines - 55% AI Development - 20% BI & Big Data Consulting & SI - 15% Generative AI - 5% AI Consulting - 5% Custom Software Development ### Focus Areas - BI & Big Data Solutions: - 50% Hadoop - 15% Microsoft BI & data solutions - 15% Tableau - 10% MongoDB - 10% Other BI & data solutions - Generative AI Focus: - 45% AI Text Generation - 30% AI Speech Generation - 25% AI Image Generation - AI Expertise: - 35% Machine Learning - 30% Natural Language Processing - 15% Cognitive Computing - 10% Chatbots & Conversational AI - 5% AI Recommendation Systems - 5% Voice and Speech Recognition - BI & Big Data Focus: - 30% Data Compliance, Fraud & Risk Management - 30% Marketing analytics - 20% Operations & process improvement - 10% IT security & crime prevention - 10% Other BI & analytics - AI Technologies & Models: - 30% GPT-J - 20% Hugging Face Bloom - 15% Open AI Dall-E 2 - 15% Stable Diffusion - 10% GPT-Neox - 10% Open AI GPT-3 ### Industries - 20% Advertising & marketing - 5% Automotive - 10% Business services - 20% eCommerce - 15% Financial services - 10% Medical - 10% Information technology - 10% Manufacturing ### Clients - 50% Small Business (<$10M) - 40% Midmarket ($10M - $1B) - 10% Enterprise (>$1B) ## Pricing Snapshot Average rating for cost based on this provider's reviews: 4.7 out of 5 **What Clients Have Said** *(This summary is based on verified Clutch reviews.)*: InData Labs offers competitive pricing, with projects ranging from under $50,000 to over $100,000. Clients consistently highlight good value for cost, timely delivery, and flexibility, making them a favorable choice for various project sizes and complexities. **Most Common Project Size**: $50,000 to $199,999 based on 13 reviews *(Pricing information for this provider is based on reviews where the project size was available.)* ### Pricing by Service - Custom Software Development: $50,000 to $199,999 based on 9 reviews - BI & Big Data Consulting & SI: Confidential based on 2 reviews - AI Consulting: $200,000 to $999,999 based on 1 review - AI Development: $200,000 to $999,999 based on 1 review - IT Managed Services: $50,000 to $199,999 based on 1 review - Mobile App Development: $50,000 to $199,999 based on 1 review - Web Development: $10,000 to $49,000 based on 1 review - IT Strategy Consulting: Confidential based on 1 review ## Reviews Clutch investigates each reviewer's identity and work history. Every review goes through a rigorous, human-led verification process to confirm the reviewer's identity, and reviews that we verify are visibly marked as 'Verified' so you can trust that they come from a real client. [Learn More](https://help.clutch.co/en/knowledge/how-clutch-verifies-reviews) ### InData Labs Review Insights Overall Review Rating: 4.9 - Quality: 4.9 - Schedule: 4.8 - Cost: 4.7 - Willing to Refer: 4.9 ### Top Mentions - Great project management (5 mentions) - Knowledgeable (4 mentions) - Timely (4 mentions) - Accessible (3 mentions) - Communicative (3 mentions) - Flexible (3 mentions) - High-quality work (3 mentions) - Unique expertise (3 mentions) - Exceptional performance (2 mentions) - Experienced (2 mentions) - Personable (2 mentions) - Proactive (2 mentions) - Well-organized projects (2 mentions) - Detail-oriented (1 mentions) - Efficient (1 mentions) - Hard working (1 mentions) - Meets deadlines (1 mentions) - Openness (1 mentions) - Professional (1 mentions) - Team players (1 mentions) ### Review Highlights **Excellent Communication Skills** Clients commend InData Labs for their excellent communication skills, including regular updates, thorough documentation, and proactive engagement. This ensures transparency and alignment throughout project engagements. **Effective Use of Technology** InData Labs effectively utilizes technologies like AWS, SQL, and various machine learning frameworks to deliver powerful solutions. Their technical proficiency is a key asset in executing complex projects. **Highly Skilled and Experienced Team** The team at InData Labs is described as highly skilled and experienced, particularly in data science, machine learning, and software development. Their expertise contributes significantly to the success of client projects. **Proficient in Complex Problem Solving** InData Labs excels in tackling complex challenges, such as developing anti-fraud solutions, predictive forecasting systems, and AI-driven recommendations. Their problem-solving capabilities are highly valued by clients. **Room for Improvement in Efficiency** While InData Labs excels in many areas, there is room for improvement in their efficiency, particularly in project proposals and planning calls. Clients suggest having more prepared materials for discussion to enhance planning efficiency. **Support for Business Growth** Clients report that InData Labs' solutions have supported significant business growth, such as improving prediction accuracy, enhancing data processing capabilities, and enabling new product features. **Collaborative and Client-Centric** Clients appreciate InData Labs' collaborative approach, treating projects as their own and working closely with clients to understand and address specific needs. Their client-centric approach fosters strong partnerships and successful project outcomes. **Flexible and Agile Approach** InData Labs is noted for their flexibility and agility in adapting to changing client needs and project requirements. They are responsive to feedback and capable of making necessary adjustments to meet evolving project goals. **Positive Client Relationships** InData Labs builds strong, positive relationships with clients, characterized by trust, open communication, and a commitment to meeting client needs. This leads to ongoing collaborations and repeat business. ### InData Labs Reviews ## Portfolio & Awards ### AI Healthcare Platform for Physical Therapy A digital health startup approached InData Labs to build a platform that would close the gap between in-clinic care and at-home patient adherence — the single biggest barrier to effective physical therapy outcomes. InData Labs delivered a full-cycle MVP: a provider-facing web portal for managing organizations, care programs, appointments, and patient progress; and a patient-facing iOS app for guided training sessions, AI-assisted chat, and two-way messaging with providers. Key AI features include an LLM-powered exercise library, a RAG-based knowledge engine that ingests provider-uploaded documents, and adaptive care recommendations that evolve with patient progress. Accessibility features like text-to-speech are built in throughout. The platform also includes subscription management, payment integration via Stripe, in-app rewards for patient engagement, and clinic branding support — enabling a scalable business model alongside the clinical one. Full Case Study: https://indatalabs.com/resources/digital-healthcare-platform ### AI Sales Agent: Lead Scoring & 24/7 Support InData Labs built a multi-agent AI solution to automate sales operations and deliver 24/7 personalized support to website visitors. The solution goes beyond a simple chatbot: a suite of AI analytical agents uses visitor-provided data (company name, industry, geography) to perform real-time lead scoring, tailor responses with relevant case studies and service pages, and automatically create qualified opportunities in CRM (Pipedrive). The assistant handles both quick and complex queries, schedules calls with sales reps based on location, and manages the full top-of-funnel workflow autonomously. The platform delivered measurable impact across the sales pipeline: Increased conversion rate from chats into qualified sales opportunities Automated lead scoring and CRM opportunity creation Cut operational costs and reduced wait times Shortened the time from first interaction to booked call Boosted website visitor engagement and reduced bounce rate. Full Case Study: https://indatalabs.com/resources/ai-agent-use-case ### LLM Analytics: Jira Workflow Bottleneck Detection A U.S.-based product development company managing 8 cross-functional teams across 3 time zones was losing visibility into why sprint velocity was declining ~12% quarter-over-quarter. The root causes were buried in years of unstructured Jira data — ticket descriptions, comments, status histories — that no one had the bandwidth to analyze manually. InData Labs applied GPT-4o and reasoning-enabled LLMs (o1-preview) alongside Python and pandas to perform a deep analysis of 3 years' worth of Jira history. The team categorized 18,000+ tickets by issue type, resolution time, complexity, and communication patterns — automatically flagging tasks with missing acceptance criteria, excessive back-and-forth, and unclear ownership. Results delivered within 3 months: 29% reduction in time-to-resolve for complex task categories 41% fewer ticket reopens after ownership rules were applied ~40% fewer clarification loops after new ticket guidelines were adopted Managers reclaimed ~5 hrs/week previously spent on manual backlog review Estimated $280K annual efficiency gain from reduced rework and delivery delays Full Case Study: https://indatalabs.com/resources/data-analytics-llm  ### Investment Data Management Solution with AWS Cloud InData Labs was challenged to develop a data solution from scratch, considering different data input formats, such as Excel files and PDFs, and their correct processing, enrichment, and integration to enable all the features planned in the web application which was being developed in parallel. Our team built a reliable cloud infrastructure based on AWS that makes it possible to extract and process users’ investment data to simplify and add value to investment management. We provided the client with a managed data service solution for investment management that meets the client’s business needs through optimizations such as decreased data crunching time, reduction of error and security risks, instant access to investment metrics; standardization and ease of processes for fund managers. The client can now ingest and consume data in a safe, practical, and efficient way, to craft a successful investment strategy. Full Case Study: https://indatalabs.com/resources/investment-data-management-solution ### Sales Forecasting Optimization A publicly traded global manufacturer of water and fuel systems (motors, pumps, controls, electronics) was struggling with inaccurate AI sales prediction models. Existing forecasts failed to align inventory with actual customer demand, creating operational inefficiencies across residential, commercial, industrial, and municipal markets. InData Labs ran a series of focused consulting workshops with the client's internal data and engineering teams, structured around two tracks: data analysis and ML model review. On the data side, the team performed correlation and distribution analysis, data integrity checks, dataset splitting for separate model training, and advanced feature engineering. On the model side, InData Labs reviewed the existing forecasting architecture and delivered recommendations covering model selection, target variable scaling (e.g., price increments vs. raw prices), and hyperparameter optimization. Deliverables: Comprehensive feature correlation and dependency report to guide future model training Rebuilt and evaluated ML forecasting models with documented performance benchmarks Actionable recommendations report for improving data quality and prediction accuracy Full Case Study: https://indatalabs.com/resources/sales-prediction-models ### AI Gender Analysis and Identification Toolkit InData Labs was challenged to develop a Gender Analysis and Identification Toolkit to address the gender data gap and manage mobile phone data analysis with the help of technology. The result of the work is an advanced Gender Analysis and Identification Toolkit. The solution allows mobile network operators to identify the gender of their subscribers based on phone usage history and provides insights into the gender gap. Using the solution, they can explore the latest data on the mobile gender gap and understand what’s needed to be able to close it. This will help mobile phone operators across low- and middle-income countries to get more KYC data to be able to better understand bottlenecks in mobile phone penetration among women and design products targeted to women. Full Case Study: https://indatalabs.com/resources/ai-gender-detection ### LLM Sentiment Analysis of HR Survey Data The HR department of a global U.S. corporation needed to process an annual employee survey — 11 open-text questions, 1,400+ responses each, written in 5 languages. Manual analysis was impractical at this scale, and existing tools couldn't extract nuanced sentiment around specific aspects of corporate life. InData Labs built an automated NLP pipeline to handle the full analysis end-to-end: aspect detection and naming, semantic categorization, sentiment classification, multilingual translation, and final report generation in Word format — all segmented by department, city, and country. For each question, the solution delivered sentiment distribution charts, a ranked table of the most frequently mentioned aspects with supporting employee quotes, and a generative summary covering job satisfaction, leadership, teamwork, communication, salary, and work environment. Full Case Study: https://indatalabs.com/resources/hr-sentiment-analysis  ### Predictive Analytics Module for E-Commerce Site The Client needed a solution for giving single-brand recommendations. InData Labs was challenged to create a custom predictive analytics & recommendation system to enhance the existing platform and also to improve sales.  We created the model that addresses all Client’s business needs. Now the model is used for completing multiple tasks.   Full Case Study: https://indatalabs.com/resources/predictive-analytics-ecommerce ### Marketing Campaign Performance Optimization InData Labs was challenged to create a multi-channel marketing automation tool that helps manage and enhance ad performance based on automated audits of users’ online stores and current advertising initiatives. The tool was to rely on integrated data insights collected from multiple marketing channels, including Shopify, Google Analytics, and Google Ads. The marketing suite also had to enable the user to create and manage multiple ad campaigns across channels within an all-in-one interface. Following the сlient's requirements, our engineers delivered an intelligent campaign management module with a comprehensive set of analytical and forecasting capabilities. The client can now provide an intelligent commerce tool to store owners for campaign automation and competitive marketing.  Full Case Study: https://indatalabs.com/resources/marketing-campaign-optimization ### Freight Rate Prediction Software InData Labs was working with a world-known logistics company. The client asked us to make accurate freight rate predictions for the forwarding agents to rely on the system’s analysis. To solve it, our team focused on finding hidden patterns in data, using alternative data sources, filtering data from outliers. For freight rate prediction, we used the framework that processed data, made predictions, and retrained the models. We also developed a system to extract data from the client’s TMS, provide insights on freight predictive rates and place it backward. Our team has advanced the client’s existing freight predictive rate solution significantly. The client has recognized our deep expertise in Predictive Analytics software development, commitment to excellence, and timely delivery. Full Case Study: https://indatalabs.com/resources/freight-prediction-software ### Detecting Aggressive Behavior of Cattle Operators InData Labs has developed an AI solution that uses computer vision technologies like object detection and pose estimation for automated aggression detection of cattle operators directed against cows. This solution has been developed for a US-based client from the cattle industry to enable a safe environment for cattle keeping them healthy and providing sustainable livestock production for farmers. Full Case Study: https://indatalabs.com/resources/aggressive-behavior-detection ### OCR Insurance Claims Processing Software The InData Labs engineers have applied their OCR expertise to develop a robust optical character recognition insurance app for claims processing and management. As a result of the collaboration, the Client has received a custom OCR solution that has automated the routine tasks and improved the overall performance. Full Case Study: https://indatalabs.com/resources/ocr-insurance-solution ### Targeted Advertising System & API Built with AWS The client approached InData Labs with a request to develop a scalable system to process data, download web pages with access restrictions, and build groups of relevant users for campaigns.  The InData Labs team was challenged with the development of a robust NLP semantic analysis solution that can download and analyze millions of web pages visited by users.  We built a system that allows the client to build relevant user segments for their advertising campaigns, monitor ad campaign performance,  increasing their effectiveness.  Real-life test conducted by the client showed that the use of this system reduced advertising costs by 54%. Full Case Study: https://indatalabs.com/resources/targeted-advertising-system ### Intelligent AI Cooking Assistant InData Labs developed a voice-powered & interactive recipe recording app for cooking enthusiasts. The AI-enabled kitchen assistant records and reads recipes with the user’s voice, stores all the data so the user will never forget ingredients again. We performed both the front- and backend (and IOS application) aspects of the app and the AI algorithm integration. The features we’ve implemented into the AI cooking assistant: voice activation, voice control over the app, editing & recipe step rearrangement, recipe sharing (including social media), etc. Full Case Study: https://indatalabs.com/resources/ai-cooking-assistant ### Efficient Website Data Scraping for Improved Data The client asked InData Labs to develop a data scraping solution.  We drew upon multiple sources to meet the client’s data scraping needs. As a result, the client got a robust data scraping solution that scrapes data from multiple sites and business listings, and gathers information useful for the subscribers of the client’s platform. Our solution has empowered the client in the following ways: Data extraction at scale Structured data delivered Low-maintenance and speed Easy to implement Automation. Full Case Study: https://indatalabs.com/resources/data-scraping-solution ### BI Solution for Unified Data Analytics The InData Labs team was challenged to build a smart BI solution for unstructured data collection and real-time processing. The client's management needed instant visualization of detailed KPIs and charts to support  with multi dimensional visibility on all construction projects, pricing history and ultimately help to take data-driven decisions. After analyzing the client’s requirements, we developed an Azure-based data lake for real-time business analytics and reporting. As a result, the client’s got a robust BI solution to unify and analyze project siloed data. From now on, the client makes faster decisions and uses smart automated reports.  Full Case Study: https://indatalabs.com/resources/case-study-bi-solution ### Machine Learning for Period Prediction We worked with a Japanese-based entertainment company that developed an app with predictive analytics capabilities and was looking for strong machine learning expertise. We needed to improve period prediction accuracy for the client’s application users. Our team leveraged its expertise in ML and managed to provide the client with a high-capacity solution. We also significantly improved the period-tracker app's accuracy up to 15%.   Full Case Study: https://indatalabs.com/resources/machine-learning-prediction-application   ### NLP for Customer Feedback Analysis Automation The Client - an international game developer needed to create a customer feedback tool that will allow to download and analyze the reviews from different forums. The solution we delivered was powered by custom natural language processing models trained to understand the slang of the particular game. Now the Client can react to the players’ feedback as fast as possible, avoiding a complex review retrieval process.   Full Case Study: https://indatalabs.com/resources/customer-feedback-analysis-software ### Data Lake Implementation for Big Data Processing A UK-based global construction services company that helps different industry representatives to manage their business data was in need of building data lakes and deliver a BI solution for more efficient data processing. We provided ready-to-use data services to help end-users solve business-critical issues & foster continuous business processes improvement.    Full Case Study: https://indatalabs.com/resources/data-lake-implementation ### Deep Learning-Based Anti-Counterfeiting Solution InData Labs was working with a European-based scientific & business-oriented organization. Our challenge was to train the model that will be able to identify particular counterfeiting actions. As a result, we delivered the application based on Android that demonstrated high technological capabilities. The business potential for this technology is vast, as well as the range of industries that can use this anti-counterfeiting method.   Full Case Study: https://indatalabs.com/resources/anti-counterfeiting-solution   ### Improving Health & Fitness Apps with AI The Client - a provider of personalized applications in the healthcare & well-being area, wanted to improve the existing system to provide users with additional guidance and instructions on health & lifestyle. Our team was challenged to tailor a Business Intelligence solution to work with user data gathered via an app. We managed to enhance the Client’s existing mobile fitness apps with predictive analytics capabilities and also offered to implement state-of-the-art approaches and technologies to provide better services.   Full Case Study: https://indatalabs.com/resources/ai-fitness-app ### Building Social Media Analytics Software We cooperated with a Social Media Analytics Platform, which aims to evaluate users’ activity on social media. We were challenged to come up with a fair and engaging way of scoring Facebook users. We delivered a sophisticated social media scoring software built from scratch along with self-discovery tests & competitions on the platform keeping user engagement high.   Full Case Study: https://indatalabs.com/resources/social-media-analytics-platform ### Neural Networks for Better Cycle Predictions Flo is a smart period tracker that accurately predicts women’s menstrual cycles, ovulation, and fertile days. We were working over the implementation of a neural network to improve irregular cycle predictions. The current version of Flo’s neural network delivered by our team can improve irregular cycle predictions by up to 54.2% depending on the quality of input data, with prediction error reduced from 5.6 to 2.6 days.   Full Case Study: https://indatalabs.com/resources/neural-network-implementation-in-healthcare-app ### Making a Project Management System Smarter We were challenged to create a microservice that should be integrated into the Client’s infrastructure. One of our main tasks was to enhance the quality of the project management system. We achieved the goals and created a microservice that provides access to the API to effectively evaluate a project duration.  Our team managed to address the lack of information managers had when estimating the duration of a project.   Full Case Study: https://indatalabs.com/resources/making-a-project-management-system-smarter   ### Racehorse Success Prediction with 3D Depth Images The Client turned to our team with an idea of using 3D images for racehorse performance predictions.  We were challenged with the creation of a custom application that will easily work with existing horses data, client’s sales datasets, provide filtering opportunity and navigation options. We built an application that helped our Client to implement AI into horse breeding and accurately predict race performance.   Full Case Study: https://indatalabs.com/resources/ai-horse-breeding ### Pose Estimation for Fitness & Physical Therapy App The client is a US-based startup that challenged us to develop a state-of-the-art pose estimation model to detect a human posture in a real-time. We successfully applied our computer vision & deep learning experience to provide the client with an AI-driven solution. We also accomplished the human activity recognition challenge in very limited terms, though deep learning approaches require months of work.   Full Case Study:  https://indatalabs.com/resources/human-activity-recognition-fitness-app ### Building Influencer Marketing Analytics Platform The Client - a digital marketplace that helps brands & influencers connect to impact audiences around the globe. We were brought on board as a big data & data science expert. Our task was to enhance the existing platform and enable real-time analytics. We managed to build an advanced influencer marketing analytics platform and automated the Client’s working processes.   Full Case Study: https://indatalabs.com/resources/analytics-for-influencer-marketing-platform ### Clutch Awards - [Clutch Award Badge](https://shareables-prod-static.clutch.co/badges/top_clutch.co_machine_learning_company_2024_award.svg) - [Clutch Award Badge](https://shareables-prod-static.clutch.co/badges/top_clutch.co_big_data_operations__processing_company_2024_award.svg) - [Clutch Award Badge](https://shareables-prod-static.clutch.co/badges/clutch_1000_2024_award.svg) - [Clutch Award Badge](https://shareables-prod-static.clutch.co/badges/top_clutch.co_natural_language_processing_company_2024_award.svg) ### Industry Recognitions - Best Big Data Companies of 2026 - Top 10+ Best Big Data Companies of 2026 - Top 10+ Most Promising AI Companies in 2026 - 100 Best Data Science Blogs to Follow in 2026 - #5 in Top Gen AI Consulting Companies of 2026 - #7 in Top 10 AI Consulting Companies in 2025 - Top Data Architecture Design & Consulting Firms - Top BI Companies And Service Providers - #1 in 10 Best ML Companies In The World - #1 in Top 10 Machine Learning Companies - 13 AI Consulting Firms for Small Businesses - Big Data Analytics Companies - 2026 - Best Data Science & AI Solutions Company 2024-USA - 5 Best Artificial Intelligence Companies in 2021 ## Key Clients - Wargaming.net - AsstrA - Flo - Captiv8 - GSMA - EXtrance - Interprefy ## Packages ## About the Team ### Our Story Founded in 2014, InData Labs brings together 100+ data scientists, ML engineers, and AI researchers united by one goal: making AI work for real business. We combine deep technical expertise with a consultative approach — diving into each client's context before writing a single line of code. Our in-house R&D center keeps us ahead of the curve, and our flat team structure means senior talent is always hands-on in your project. ### What Sets Us Apart - End-to-End AI Ownership: We don't hand off deliverables — we own the outcome. From discovery and data strategy to model deployment and post-launch support, our team stays with you through the full lifecycle. No finger-pointing between vendors, no knowledge gaps at handover. - In-House R&D, Not Off-the-Shelf: Our dedicated R&D center means we build proprietary tools and stay ahead of the AI curve — so clients get solutions based on current best practices, not last year's stack. When we recommend an approach, it's because we've already tested it internally. - Senior-Led Delivery: Every project is led by senior data scientists and ML engineers — not passed down to juniors after the sale. You get the expertise you were pitched, hands-on, from kickoff to completion. That's why 70%+ of our clients come back for a second engagement. ### Quick Facts - Multilingual Team - 16 Verified Clutch Clients - 12 years in business ## Verification Premier Verified means Clutch independently confirmed InData Labs is a legally registered business, financially sound (Creditsafe: Low Risk), and backed by 16 verified client reviews averaging 4.9 stars. - Verified Client Reviews: 16 - Overall Review Rating: 4.9 Last Updated: 2026-08-01T02:18:04Z ### Business Entity - Business Entity Name: InData Labs Group Limited - Source: Republic of Cyprus, Ministry of Commerce, Industry and Tourism - Jurisdiction of Formation: Cyprus - Date of Formation: September 5, 2014 - Status: Active - Last Updated: June 7, 2022 - ID: HE335507 ### Credit Report Results - International Credit Risk Assessment: Low Risk - Source: Creditsafe - Last Updated: February 5, 2025 ## Locations (3) ### Nicosia, Cyprus (Headquarters) - 16 Kyriakou Matsi - Nicosia 1035 - Cyprus - 10 - 15 employees - Phone: +370 520 80 9 80 ### Vilnius, Lithuania - Ukmergės g. 126 - Vilnius 08100 - Lithuania - 6 - 9 employees - Phone: +37052080980 ### Miami, FL - 333 Southeast 2nd Avenue, Suite 2000 - Miami, FL 33131 - United States - 10 - 15 employees - Phone: +13054477330 ## Connections - Pranav Sharma (Vaarta Analytics) ## Contact InData Labs [Send a message](https://clutch.co/profile/indata-labs) ### Connect on Social - [LinkedIn](https://www.linkedin.com/company/indata-labs/) - [Facebook](https://www.facebook.com/indatalabs) - [X](https://twitter.com/indatalabs) - [Instagram](https://www.instagram.com/indatalabs_com/)