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InData Labs

Data ML Infrastructure

InData Labs delivers custom AI and data science solutions — from LLM development to predictive analytics — for businesses across fintech, healthcare, and ecommerce.

About

InData Labs is a data science and AI development firm that helps businesses build intelligent products, automate processes, and extract value from data. Founded in 2014 and headquartered in Vilnius, Lithuania, they serve clients across the US, UK, Europe, and Singapore — ranging from early-stage startups to large enterprises.

Their work spans generative AI, machine learning, big data engineering, and custom software development. Named clients include Wargaming, Flo, Captiv8, GSMA, and AsstrA. InData Labs holds AWS Partner certification and operates its own R&D center. With over 150 projects delivered worldwide, they have built fraud detection systems, freight rate prediction tools, sentiment analysis platforms, and AI-powered healthcare applications.

What They Do

AI Consulting & Development

  • AI strategy consulting, proof-of-concept validation, and MVP development for AI-based products

  • Custom machine learning model development and retraining of open-source and proprietary models

  • AI software development — new web applications and AI feature integration into existing systems

  • Customer experience consulting and AI healthcare solutions

Generative AI

  • LLM development and GPT integration services

  • AI chatbot and intelligent virtual assistant development

  • Enhanced data analytics using LLMs

  • AI Agent Store for pre-built agent deployment

Big Data Analytics

  • Data engineering, modern data architecture, and data warehouse consulting

  • BI and data visualization services

  • Predictive analytics, forecasting, and recommendation systems

  • Investment data management with AI and AI-driven BI solutions

Solutions

  • Computer vision, image recognition, and human pose estimation

  • Natural language processing, sentiment analysis, and AI-powered text analysis

  • AI call center solutions and OCR/data capture

  • AI mobile app development and cloud/DevOps services

Services & Tech Stack

Services

  • Custom AI App Building
  • RAG Pipeline Development
  • Custom LLM Fine Tuning
  • AI Proof of Concept
  • AI MVP Development

Tech Stack

  • OpenAI API
  • LangChain
  • Hugging Face Transformers

Is This a Fit?

Best For

Mid-market and enterprise companies in fintech, healthcare, ecommerce, or logistics that need a full-service AI and data science partner — from strategy and PoC through to production deployment.

Not a Fit For

Companies looking for a pure no-code AI integration or off-the-shelf SaaS implementation with no custom model development involved.

Ideal Client

CTO, VP of Engineering, or Head of Data at a growth-stage or enterprise company seeking a specialist AI/ML partner to build custom models, AI-powered products, or data pipelines — especially where internal AI expertise is limited.

Track Record

Founded in 2014, InData Labs employs 50–249 staff, the majority holding master's degrees in Applied Math, System Analytics, or Computer Science. Over 150 projects have been delivered for clients across the US, UK, Europe, and Singapore.

Common Outcomes

  • Fraud detection system delivered for Wargaming, saving a significant share of their marketing budget
  • Freight rate prediction software built for AsstrA, dramatically improving data quality metrics
  • AI-powered physical therapy and home exercise management platform delivered for a healthcare client
  • Social media data extraction platform built for Captiv8, enabling exclusive audience insights

Notable Clients

Wargaming.netAsstrAFloCaptiv8GSMAEXtranceInterprefy

Use Cases

Automated document processingAI customer supportSentiment analysis at scale

Case Studies

This vendor has not published detailed case studies yet.

At a Glance

  • Location

    Vilnius, Lithuania

  • Founded

    2014

  • Team Size

    51 – 200
  • Typical Budget

    $50,000–$199,999

  • Timeline

    Varies by project scope; PoC and MVP engagements typically run weeks to a few months; full AI product development projects run 3–12+ months.

  • Delivery

    RemoteHybrid
  • Engagement

    Project BasedRetainer
  • Pricing

    $50 - $99
  • Client Tier

    StartupEnterprise
  • Regions Served

    Northern AmericaNorthern EuropeWestern EuropeSouthern Europe
  • Languages

    EnglishSpanishArabic
  • Certifications

    AWS Partner

Focus Areas

Industries

Logistics & Supply ChainRetail & EcommerceHealthcareFinancial Services

Specialties

Generative AIMachine LearningPredictive AnalyticsComputer VisionNLPBig Data Engineering

Verticals

Fraud DetectionDemand ForecastingPersonalisation & RecommendationsDigital Banking

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InData LabsListed on AI Development Companies 2026

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Signal
CategoryData ML InfrastructureData ML InfrastructureData ML Infrastructure
LocationVilnius, LithuaniaNot listedAhmedabad, India
Team SizeNot listedNot listedNot listed
Client TierStartupStartupStartup
Delivery ModelRemoteRemoteRemote
Typical Budget$50,000 – $199,999$5,000 – $49,999$5,000 – $49,999
Services
Custom AI App BuildingRAG Pipeline DevelopmentCustom LLM Fine Tuning+2
Custom AI App BuildingRAG Pipeline DevelopmentCustom LLM Fine Tuning+2
Custom AI App BuildingAI MVP DevelopmentAutonomous AI Agents+2
Tech Stack
OpenAI APILangChainHugging Face Transformers
Not listed
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