InData Labs
InData Labs is a Cyprus-headquartered, AWS-partnered AI consulting firm with 80+ MSc-level engineers delivering data science, machine learning, generative AI, and computer vision solutions to enterprise and mid-market clients across FinTech, Healthcare, Retail, and Logistics.
- Company typePrivate
- Founded2014
- HeadquartersNicosia, Cyprus
- Headcount51–100
- GTM typeB2B
- OfferingServices
What InData Labs does
InData Labs is a data science and AI consulting firm founded in 2014 and headquartered in Nicosia, Cyprus, with a US-facing office in Miami, Florida. The company employs 80+ engineers, each holding an MSc in Applied Mathematics or Computer Science, and delivers end-to-end AI solutions across four service lines: AI Consulting & Development, Generative AI Services (including LLM development, GPT integration, AI agent development, and chatbot development), Big Data Analytics, and Software Development. Underlying capabilities span machine learning, deep learning, natural language processing, computer vision, predictive analytics, recommendation systems, anomaly detection, and process automation, with the firm operating an internal R&D center that evaluates emerging AI approaches through real benchmarks before client adoption.
The revenue model is primarily professional services-based, combining project-based consulting (Discovery & Scoping → Architecture Design → Build & Iterate → Deploy & Support), hourly engagements, and retainer arrangements, with an ongoing support and MLOps tail that generates recurring revenue from the installed base. Pricing benchmarks for boutique-to-mid-tier AI consulting firms indicate hourly rates of $100-$300 for standard engagements and $300-$600 for senior advisory work, with full-scale AI implementations typically ranging from $200,000 to over $1 million. The company is a certified AWS Partner, vendor-agnostic in its technology recommendations, and documents architecture decisions (ADRs) on every engagement to enable client independence post-deployment.
InData Labs targets enterprise and mid-market buyers across FinTech, Healthcare, Retail, and Logistics as primary verticals, with secondary exposure in MarTech, SaaS, and Manufacturing. Notable clients include Wargaming's Creative Research (anti-fraud), AsstrA (freight rate prediction), GSMA (delivery engagement), Flo Health (neural-network menstrual cycle predictions), and Adptive Products (healthcare web MVP). The company is privately held and founder-controlled, with no disclosed venture capital or private equity funding — indicating organic, cash-flow-funded growth over an 11+ year operating history with 150+ delivered projects across three continents.
InData Labs firmographics
Firmographics- Name
- InData Labs
- Legal name
- InData Labs Group Limited
- Website
- https://indatalabs.com
- Company type
- Private
- Founded year
- 2014
- Operating status
- Operating
- Headcount range
- 51–100 employees
- Short description
- InData Labs is a Cyprus-headquartered, AWS-partnered AI consulting firm with 80+ MSc-level engineers delivering data science, machine learning, generative AI, and computer vision solutions to enterprise and mid-market clients across FinTech, Healthcare, Retail, and Logistics.
- Ownership category
- akta.pro rank
InData Labs industry classification
Industry- Product category
- AI & Data Science Consulting Services
- NAICS
- Computer Systems Design and Related Services (54151), Other Scientific and Technical Consulting Services (54169)
- SIC
- Services-Computer Programming, Data Processing, Etc. (7370), Services-Management Consulting Services (8742)
- akta.pro primary industry
- AI/ML Engineering & Model Development Services (BPAEAHAF)
Keywords
Where InData Labs is headquartered
LocationHeadquarters
- HQ city
- Nicosia
- HQ country
- Cyprus
- HQ region
- Europe
Offices2 records
Markets served
InData Labs business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- AI & Data Science Consulting Services: Project-based consulting engagements covering AI strategy, data science, machine learning, and generative AI. Engagements follow a 4-step delivery methodology (Discovery & Scoping, Architecture Design, Build & Iterate, Deploy & Support) with timelines of 1–2 weeks scoping, 1 week architecture, 6–16 weeks build, and ongoing support. Revenue is generated through professional services fees, either fixed-project or time-and-materials. Upsell opportunities exist through ongoing MLOps, monitoring, and support post-deployment.
- Custom AI Product Development: End-to-end AI product development from architecture design to MLOps, CI/CD, and production deployment. Covers AI-powered mobile apps, custom web development, and cloud development. Revenue generated as one-time project fees or milestone-based payments with potential for follow-on maintenance contracts.
- Ongoing Support & MLOps: Post-deployment support, monitoring, and MLOps services provided on an ongoing basis after initial project delivery, creating a recurring revenue tail from the installed base.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Other | Pay-as-you-go | Hourly consulting rates for boutique/specialist AI firms |
| Other | Pay-as-you-go | Mid-tier AI consulting firm hourly rates |
| Other | Pay-as-you-go | Global enterprise AI consulting advisory rates |
| Other | Multi-year contract | Full-scale enterprise AI implementation projects |
Go-to-market motion2 records
Distribution channels4 records
Marketing channels8 records
InData Labs product offering
Product offeringCore offering
InData Labs is an AI consulting and data science firm that delivers end-to-end AI solutions for enterprise and mid-market clients, spanning AI strategy, machine learning, generative AI, computer vision, NLP, and big data engineering. Its work follows a four-step methodology (Discovery & Scoping, Architecture Design, Build & Iterate, Deploy & Support) and is supported by an internal R&D center and AWS Certified Partner infrastructure. Clients include banks, healthcare providers, retailers, logistics firms, and SaaS companies across the US, Cyprus, and Germany.
Product overview
InData Labs is a data science consulting and AI company offering end-to-end AI-powered solutions as a services-based portfolio rather than a unified software product. The offering comprises four main service lines: AI Consulting & Development (encompassing AI readiness assessment, strategy, product and software development), Generative AI Services (including LLM development, AI agent development, chatbot development, and GPT integration), Big Data Analytics (covering data engineering, modern data architecture, data warehouse, and BI), and Software Development (custom web, mobile, cloud, and DevOps). These service lines share foundational capabilities in machine learning, data science, and NLP, with cross-industry solutions spanning FinTech, Healthcare, Retail, Logistics, Gaming, and Manufacturing. Clients engage on a project basis from proof-of-concept through production deployment, supported by an 80-engineer team with AWS partnership credentials.
Differentiator
Problem solved
Functional benefit
Products and services
- AI Consulting & Development Core consulting and development service line covering AI readiness assessment, AI strategy, AI product development, and AI software development for enterprise and mid-market clients across verticals such as FinTech, Healthcare, Retail, and Logistics.
- Generative AI Services
- Big Data Analytics
- Software Development
- Machine Learning Consulting & Development
- Data Science Solutions
- AI Chatbot Development
- LLM Development
- AI Agent Development
- Computer Vision Software
- Natural Language Processing
- Predictive Analytics Solutions
- Recommendation Systems
- Data Capture & OCR
- AI Healthcare Solution
- AI Call Center Solutions
- AI Readiness Assessment
Quantifiable outcome
- 30% improvement in operational efficiency via LLM-powered analytics
- +7 more outcomes
Companies that use InData Labs
Customer profileNamed customers8 records
Segments7 records
Ideal customer profiles5 records
InData Labs technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability14 records
Feature5 records
InData Labs partnerships and signals
Strategic signalPartnerships
One partnership is on record.
- Amazon Web Services (AWS)coreInData Labs is a certified AWS Partner with expertise in building and scaling cloud solutions within the AWS ecosystem. They leverage purpose-built analytics services, scalable data lakes, and data warehouses from AWS to solve client data and analytics challenges. AWS partner status enables them to receive referrals through the AWS partner ecosystem and deliver solutions to AWS's enterprise customer base.
Scale indicators11 records
Recent moves6 records
Expansion highlights6 records
InData Labs competitors and assessment
Company assessmentDirect peers
- ITRex Group: ITRex is a mid-sized AI/ML and software engineering consultancy offering custom AI development, data science, and MLOps to enterprise clients. It directly overlaps InData Labs in scope, headcount range, and project-based consulting model, with similar vertical emphasis on healthcare, retail, and logistics.
- LeewayHertz: LeewayHertz is an AI software development company specializing in generative AI, LLM applications, blockchain, and enterprise AI integrations. It competes for the same generative AI and AI agent development engagements as InData Labs across mid-market and enterprise buyers.
- DataRoot Labs: DataRoot Labs is an AI/ML engineering and data science consultancy delivering end-to-end model development, MLOps, and AI product engineering. It directly overlaps InData Labs' core ML consulting and data science service lines for startups and enterprises.
- Addepto: Addepto is an AI and ML consulting firm focused on generative AI, computer vision, and MLOps for enterprise clients. It targets the same buyer profile as InData Labs and competes for AI strategy and production deployment projects.
- Markovate: Markovate is a custom AI and software development company offering generative AI, LLM applications, and AI agent development services. It directly parallels InData Labs' generative AI service line and project-based delivery model.
- Neoteric: Neoteric is an AI development company delivering machine learning, generative AI, and AI product engineering across Europe and the US. It competes for similar AI consulting and custom development projects and operates with a comparable boutique-firm profile.
- Vention: Vention is a custom software and AI/ML development firm serving enterprise and growth-stage clients with engineering teams. It overlaps InData Labs in custom web/cloud development and AI integration work, though it is somewhat larger and more product-engineering oriented.
- Geniusee: Geniusee is an AI/ML and software development company offering custom AI solutions, computer vision, and NLP services. It competes for similar mid-market and enterprise AI engagements across FinTech, Education, and Retail verticals.
- Sumatosoft: Sumatosoft is a custom software development and AI consulting company offering machine learning, computer vision, and data engineering. It targets a comparable client profile to InData Labs with a similar mid-sized boutique delivery model.
Broad incumbents
- Accenture: Accenture is a global professional services firm with a large-scale AI and data practice serving enterprise clients across all of InData Labs' verticals. It represents the broad incumbent benchmark that competes for the same enterprise AI budgets but at much larger scale and broader scope.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
InData Labs social profiles
Digital presenceInData Labs financial estimates
Financial estimateRevenue estimate
Valuation estimate
InData Labs leadership team
Management profileNumber of profiles
Profiles5 records
InData Labs funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
InData Labs M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about InData Labs
What does InData Labs do?
InData Labs is an AI consulting and data science firm that delivers end-to-end AI solutions for enterprise and mid-market clients, spanning AI strategy, machine learning, generative AI, computer vision, NLP, and big data engineering. Its work follows a four-step methodology (Discovery & Scoping, Architecture Design, Build & Iterate, Deploy & Support) and is supported by an internal R&D center and AWS Certified Partner infrastructure. Clients include banks, healthcare providers, retailers, logistics firms, and SaaS companies across the US, Cyprus, and Germany.
Is InData Labs a public or private company?
InData Labs is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was InData Labs founded?
InData Labs was founded in 2014. It employs 51 to 100 people.
Where is InData Labs based?
InData Labs is headquartered in Nicosia, Cyprus, in the Europe region.
How does InData Labs make money?
Three revenue lines are on record. AI & Data Science Consulting Services are the primary driver. The others are custom AI Product Development and ongoing Support & MLOps.
Who are InData Labs's main competitors?
Direct peers on record are ITRex Group, LeewayHertz, DataRoot Labs, Addepto, Markovate, Neoteric, Vention, Geniusee and Sumatosoft. Accenture is listed as a broad incumbent.
Does InData Labs have an API?
No public API is recorded for InData Labs.
What industry is InData Labs in?
InData Labs's product category is AI & Data Science Consulting Services. Its primary akta.pro industry code is BPAEAHAF, AI/ML Engineering & Model Development Services. Its NAICS code is 54151 and its SIC code is 7370.