Six positioning scores, 1 to 10.
See Methodology.
| Dimension | Score | vs.Entire Market | vs. Revenue Cohort |
|---|---|---|---|
AI-first Headline 'Big on Data Science & AI', full-stack AI services (GenAI, ML, NLP, agentic), ai_emphasis_raw 88, AI-centric thought leadership and R&D — AI is the entire pitch. | 9Leading | Top 12% | Top 21% |
Consultative partner Claims end-to-end delivery from discovery through deployment, outcomes-framed headline ('Bigger on your results'), but selling points lean heavily on engineering models (T&M/Fixed Price, Jira/Slack visibility) suggesting build-led delivery alongside advisory. | 6Present | Top 61% | Top 50% |
Clear differentiator Differentiators are specific: own R&D center evaluating pre-market approaches, vendor-independence, ADRs on every project, client owns code/model/architecture — plainly stated and concrete rather than generic. | 7Strong | Top 28% | Top 38% |
Thought leadership A prolific, topically broad library across many verticals and formats, but the work is formulaic and market-survey-driven with no clear point of view, no visible author seniority, and sporadic cadence with no recency signal. | 5Present | Top 69% | Top 66% |
Industry specialization Six named industries with use-case specifics (FinTech AML/credit scoring, clinical NLP/imaging, retail forecasting); three flagged deep with named clients like Flo and Wargaming. | 7Strong | Top 23% | Top 10% |
Technology-forward, owns IP Surfaces an internal R&D center and reusable ML pipelines/accelerators but no named, public, productized platform — described as delivery accelerators with low-to-medium substantiveness. | 4Emerging | Top 71% | Top 52% |
Size
51 to 200 people
Revenue
$10M to $50M(low confidence)
HQ
Cyprus
AI emphasis
High
Homepage positioning
“Big on Data Science & AI. Bigger on your results.”
InData Labs is a data science consulting and AI-powered solutions provider founded in 2014, with its own R&D center and 80+ engineers holding MSc degrees in Applied Math & CS. The firm has delivered 150+ projects across three continents for clients in FinTech, Healthcare, MarTech, Logistics, E-commerce, and more. It offers services spanning AI consulting, machine learning, generative AI, big data analytics, and software development.
Selling points
- 11+ years of applied AI & Data Science experience
- 150+ delivered projects across 3 continents
- 80+ engineers with MSc in Applied Math & CS
- 4.9/5 on Clutch, rated Top AI Company
- Certified AWS Partner
- Own R&D center
- T&M and Fixed Price engagement models offered
- AI Cost Estimation Calculator (Pricing tool) available
Named clients
- Wargaming
- AsstrA
- Captiv8
- GSMA
- Myka LLC
- Flo: Smart Period Tracker
- Skorebee
- Adptive Products and Solutions
- University of Copenhagen spinout
Services and capabilities
AI and ML
AI Consulting & Development
End-to-end AI consulting and development services including AI readiness assessments, AI strategy, AI product and software development, data science solutions, and machine learning consulting and development.
AI and ML
Generative AI
Generative AI consulting and development services including GPT integration, AI chatbot development, LLM development, and AI agent development.
Data and analytics
Big Data Analytics
Big data development, modern data architecture, data engineering, analytics solutions, data warehousing, and BI & data visualization services.
Product engineering
Software Development
Custom web development, AI-powered mobile app development, cloud development, and DevOps services.
AI and ML
AI Solutions
Specialized AI solutions including virtual assistant tools, computer vision, NLP, sentiment analysis, predictive analytics, recommendation systems, image recognition, human pose estimation, and OCR/data capture.
Cloud and platform
Cloud Development
Cloud solution development and scaling as a certified AWS Partner, leveraging AWS analytics services, scalable data lakes, and warehouses.
Industries
Financial services
Deep focusAI solutions for FinTech: ML-based customer segmentation, debt collection prioritization, investment data management
Healthcare
Deep focusHealthcare & Pharma AI: neural network healthcare apps, digital health platforms, AI-driven patient management
Retail and consumer
Deep focusRetail AI: predictive analytics for inventory management, demand forecasting, full-cycle e-commerce platforms
Logistics and transportation
Deep focusTransport and Logistics AI: freight rate prediction, OCR invoice automation, document processing
Media and entertainment
Named focusGame & Entertainment AI solutions
Manufacturing
Named focusAutomotive Manufacturing AI solutions
Technology
Deep focusMarTech AI: ML audience segmentation, influencer marketing analytics, advertising cost reduction
Thought leadership
InData Labs maintains a steady library of AI and data-focused research papers, whitepapers, and infographics covering practical adoption trends, industry use cases, and market statistics — positioning the firm as an applied AI/data consultancy with broad industry reach. The content is formulaic and market-survey-driven rather than deeply opinionated, but it spans a wide range of topics and formats.
Volume
Prolific
Cadence
Sporadic
- Your GenAI Investment: Where the Money Goes and How to Protect ItReports
- AI Agents in Enterprise: Real-World Use Cases and ROIReports
- AI-Driven Customer Experience in 2026White papers
- AI Agents Quick GuideGuides
- AI Agent Market OverviewReports
- AI in Healthcare 2026: The Intelligent Care RevolutionReports
- The Current State of Global AI Adoption in 2026White papers
- The Current State of Artificial Intelligence 2025Reports
- Big Data Analytics in 2025Reports
- Technology Trends 2025: AI and Big Data AnalyticsWhite papers
Owned IP
Surfaced from what the firm names on its homepage and primary navigation, plus what a quick crawl turns up. Large firms may own more than is shown here.
No proprietary IP surfaced
Hot-words
The buzzword spaces this firm chooses to lean into.
“production-grade agentic AI”
“Not capabilities — outcomes. Real numbers from production systems we designed and delivered.”
“Most companies don't lack data — they lack the infrastructure and expertise to act on it.”
“Intelligent Virtual Assistant”
“high accuracy and quick turnaround”
Contact surface
Ways we found to reach this firm.