InData Labs
Editor's pick #1A boutique AI and data science firm with 10+ years of production ML deployments across FinTech, healthcare, and SaaS.
Founded 2014 | Nicosia, Cyprus | 100–200 employees
custom-mlpredictive-analyticsnlpcomputer-visiongenerative-aiml-consulting
What is InData Labs?
InData Labs is a specialist AI and data science consultancy founded in 2014, headquartered in Nicosia, Cyprus with offices in Lithuania and the United States. The firm builds production-grade machine learning systems across predictive analytics, computer vision, NLP, and recommendation engine use cases. With a 4.9/5 rating on Clutch across 18 verified reviews, InData Labs has established a reputation for delivery accountability and post-launch iteration support. The team of 100–200 data scientists and ML engineers focuses exclusively on AI and data science, with no legacy software development distraction.
InData Labs was founded in 2014 and is headquartered in Nicosia, Cyprus. The firm employs 100–200 people and works primarily with clients in FinTech, Healthcare, SaaS, Retail, Logistics, E-commerce sectors. Its primary differentiator is: Pure-play data science boutique with 4.9/5 Clutch rating across 18 independent reviews and documented post-launch iteration model.
InData Labs tech stack and services
PythonTensorFlowPyTorchScikit-learnHugging FaceAWS SageMakerMLflowFastAPIDocker
| Service area |
|---|
| Custom ML Development |
| Predictive Analytics |
| NLP & Text Analytics |
| Computer Vision |
| Generative AI |
| ML Consulting |
InData Labs use cases
Short answer: InData Labs is best suited for mid-market companies, verified-track-record production ML.
| Use case |
|---|
| Custom predictive analytics for e-commerce personalisation and recommendation |
| Computer vision systems for healthcare diagnostics and imaging |
| NLP solutions for document processing and enterprise text classification |
| Recommendation engines for SaaS platforms and retail applications |
| Fraud detection models for fintech payment processing companies |
InData Labs pricing
Short answer: InData Labs uses a fixed project, t&m, retainer pricing approach. Minimum engagement starts at $25K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $25K | Well-defined scope |
| Time & materials | Variable; depends on team size | Large programmes or team augmentation |
| Retainer | Monthly rate; not public | Ongoing AI engineering |
InData Labs does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
InData Labs pros and cons
| Advantages | Things to consider |
|---|---|
| +Pure-play data science focus — no distraction from web or mobile side-practice work | -Smaller team size limits simultaneous capacity for very large multi-model programmes |
| +4.9/5 on Clutch with 18 independently verified client reviews | -Primary delivery in EU time zones; US clients should confirm daily overlap hours |
| +Covers the full ML lifecycle from data preparation through production deployment | -Minimum engagement may price out very early-stage PoC exploration |
| +Documented post-launch iteration process reduces post-deployment risk | |
| +Flexible pricing: fixed, T&M, and retainer engagement options available |
InData Labs vs alternatives
How InData Labs compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Mid-market and enterprise clients, specialist computer vision and... | Deep learning specialist backed by its parent company's 25-year delivery heritage, with a dedicated computer vision practice covering detection, segmentation, and video analytics | 4.6 | Full comparison |
| Simform | AWS-first companies, cloud-native production ML. | AWS Premier Partner with 200+ ML engineers and 4.8/5 Clutch rating across 82 verified reviews — one of the most independently validated firms in this niche | 4.5 | Full comparison |
| Blackthorn Vision | Healthcare and fintech mid-market, boutique data science, senior... | Published case studies across healthcare and fintech ML with a documented data science lifecycle and accessible $20K minimum engagement | 4.4 | Full comparison |
| Codiste | Startups, full ML lifecycle through to production. | AI-first engineering firm with explicit MLOps focus and generative AI capability alongside classical ML model development | 4.3 | Full comparison |
| DataRoot Labs | EU and Israeli companies, structured ML R&D methodology. | Structured AI R&D methodology with formal experiment cycles serving European and Israeli mid-market clients | 4.2 | Full comparison |
| *instinctools | German and US companies, long-track-record ML partner. | 25-year delivery heritage with self-managed dedicated ML teams and co-headquarters in Stuttgart, Germany and Potomac, Maryland | 4.2 | Full comparison |
| Neoteric | European companies, mid-size AI team, full app development. | Wrocław-based AI firm with documented approximately 90% positive Clutch reviews and full-service software plus ML delivery at $50–99/hr | 4.1 | Full comparison |
| MobiDev | Companies wanting ML plus mobile/web engineering, US/UK-managed. | US/UK-managed ML engineering firm with 400+ engineers and documented deep learning, NLP, and GPT integration across product development | 4.1 | Full comparison |
| Leobit | US startups and scale-ups, ML plus product engineering,... | Full-stack AI engineering firm with strong generative AI and corporate LLM deployment capability alongside standard ML development | 4.0 | Full comparison |
| STX Next | Python-first companies, ML embedded in software products. | Europe's largest Python engineering firm with 700+ engineers, making ML a natural extension of existing Python product development | 4.0 | Full comparison |
| LeewayHertz | US enterprises, LLM integration, generative-AI advisory. | San Francisco-based AI firm with strong LLM integration and generative AI advisory capability alongside standard ML development | 3.9 | Full comparison |
| ScienceSoft | Manufacturing, healthcare, oil & gas, Microsoft and AWS-certified. | 35-year IT firm with Microsoft Gold and AWS partner certifications and documented vertical depth in manufacturing, healthcare, and oil & gas ML | 3.9 | Full comparison |
| Fractal Analytics | Fortune 500 CPG, retail, insurance, enterprise-scale AI. | 25-year enterprise AI firm with documented Fortune 500 programmes in CPG, retail, and insurance analytics across 4,000+ professionals | 3.9 | Full comparison |
| Acropolium | Hospitality, healthcare, logistics, affordable EU-registered ML. | Estonia-registered Eastern European ML firm with hospitality and logistics ML specialisation and accessible $15K minimum engagement | 3.8 | Full comparison |
| Scopic | Companies wanting senior ML engineers, distributed, competitive rates. | 20-year distributed firm with 1,000+ remote engineers and published ML case studies in healthcare, manufacturing, and financial risk | 3.8 | Full comparison |
| Iflexion | Enterprises, consulting-first ML strategy and feasibility. | 25-year enterprise IT firm with a consulting-led ML practice that evaluates feasibility and designs data strategy before implementation begins | 3.8 | Full comparison |
| N-iX | Enterprises, Fortune 500-proven MLOps expertise. | Named Fortune 500 MLOps deployments at Bosch, Gogo, and Fluke with 2,000+ engineers and a data-infrastructure-first ML approach | 3.9 | Full comparison |
| Intellias | Product companies, ML integrated into digital platforms. | Product-engineering-first approach to ML with a dedicated MLOps practice and documented automotive and fintech AI delivery experience | 3.8 | Full comparison |
| Oxagile | Media, sports, AdTech, video and content-analytics ML. | 20-year video technology specialist with strong computer vision and video analytics ML capability for media, sports, and AdTech clients | 3.8 | Full comparison |
| Innowise | Banking, healthcare, agriculture, competitive Eastern European rates. | 1,200-engineer Eastern European firm with documented banking, healthcare, and agriculture ML delivery from Poland and UAE offices | 3.8 | Full comparison |
| Appinventiv | Enterprises, ML features in mobile/web products at scale. | 200+ dedicated ML experts within a 1,600+ person firm delivering ML at scale within mobile and enterprise product development | 3.7 | Full comparison |
| Devox Software | EU, UK, US clients, cost-efficient Python ML for... | High client retention rate (82% long-term partnerships) with Python-native ML focus for finance and retail use cases | 3.7 | Full comparison |
| Intuz | US companies, SF-based AI and agent development. | San Francisco-headquartered AI firm founded in 2008 with ML and AI agent development alongside standard ML model development | 3.7 | Full comparison |
| Softeq | Enterprises, ML for hardware and IoT platforms. | Houston-based enterprise firm with unique strength in ML for IoT and hardware-connected AI applications alongside Microsoft and AWS partnerships | 3.7 | Full comparison |
| Itransition | Enterprises, ML consulting within large transformation programmes. | 25-year global firm with 3,000+ engineers across 40+ countries offering ML consulting within enterprise technology programmes | 3.7 | Full comparison |
| ELEKS | Fortune 500 enterprises, established European ML partner. | 35-year software engineering heritage with 1,000+ delivered data-driven projects and US presence in Chicago for North American enterprise clients | 3.6 | Full comparison |
| Avenga | Global corporations, large-scale European cloud ML. | 6,000-person global consultancy with AWS Advanced Partnership and 20+ certified cloud ML deployments across 16 countries and 44 delivery locations | 3.6 | Full comparison |
| DataArt | Finance, healthcare, media enterprises, ML in product delivery. | 29-year global engineering firm with 6,000+ specialists and a flat structure providing direct access to senior ML engineers on client projects | 3.6 | Full comparison |
| Ciklum | Global enterprises, AI in large-scale digital products. | 4,000-person Experience Engineering firm with 250+ enterprise clients and generative AI delivery integrated into large product programmes | 3.6 | Full comparison |
| Sigmoidal | Financial and healthcare firms, ML staff augmentation. | Specialist ML staff augmentation firm placing expert data scientists and ML engineers into client teams with financial services industry focus | 3.6 | Full comparison |
| Codiant | Startups and mid-market, accessible web/mobile ML builds. | Yash Technologies subsidiary with ISO 9001 and 27001 certifications, multi-continent delivery, and 700+ completed projects for 200+ active clients | 3.6 | Full comparison |
| GlobalLogic | Fortune 500 enterprises, large-scale MLOps implementation. | Hitachi-owned 30,000-person product engineering firm with MLOps and AI-Powered SDLC for Fortune 500 clients and industrial AI access via Hitachi ecosystem | 3.5 | Full comparison |
| BairesDev | US companies, nearshore Latin America ML engineers. | Latin America nearshore ML specialist with 4,000+ engineers and US timezone alignment for flexible staff augmentation and project delivery | 3.5 | Full comparison |
| DataRobot | Enterprises wanting an automated AutoML platform. | Enterprise AutoML platform that automates model building and deployment — a software product with professional services, not a custom development services firm | 3.5 | Full comparison |
| EPAM Systems | Large enterprises, proprietary AI orchestration platform. | Publicly traded 62,000-person firm with proprietary EPAM DIAL AI orchestration platform and AI transformation engineering positioning for global enterprises | 3.5 | Full comparison |
| Accenture | Global enterprises and governments, AI strategy at massive... | World's largest consulting firm with 700,000+ employees, government-scale AI governance capability, and a dedicated AI transformation practice | 3.5 | Full comparison |
| Cognizant | Global enterprises, ML plus legacy-system modernisation. | 330,000-person IT services firm combining ML engineering with legacy data modernisation for global enterprise digital transformation programmes | 3.5 | Full comparison |
InData Labs FAQ
What is InData Labs?
InData Labs is a specialist AI and data science consultancy founded in 2014, headquartered in Nicosia, Cyprus with offices in Lithuania and the United States. The firm builds production-grade machine learning systems across predictive analytics, computer vision, NLP, and recommendation engine use cases. With a 4.9/5 rating on Clutch across 18 verified reviews, InData Labs has established a reputation for delivery accountability and post-launch iteration support. The team of 100–200 data scientists and ML engineers focuses exclusively on AI and data science, with no legacy software development distraction.
How much does InData Labs charge?
InData Labs uses fixed project, t&m, retainer pricing. Minimum engagement starts at $25K. A discovery call is required to get project-specific quotes.
What tech stack does InData Labs use?
InData Labs works with Python, TensorFlow, PyTorch, Scikit-learn, Hugging Face, AWS SageMaker, MLflow, FastAPI, Docker. Primary industries served include FinTech, Healthcare, SaaS, Retail, Logistics, E-commerce.
Is InData Labs right for enterprise?
Mid-market companies, verified-track-record production ML. 100–200 team size. Key consideration: Smaller team size limits simultaneous capacity for very large multi-model programmes.
What are the best InData Labs alternatives?
The best alternatives to InData Labs depend on your use case. Top options are:
- Tensorway: deep learning specialist backed by its parent company's 25-year delivery heritage, with a dedicated computer vision practice covering detection, segmentation, and video analytics
- Simform: aws premier partner with 200+ ml engineers and 4.8/5 clutch rating across 82 verified reviews — one of the most independently validated firms in this niche
- Blackthorn Vision: published case studies across healthcare and fintech ml with a documented data science lifecycle and accessible $20k minimum engagement
Compare InData Labs with other Machine Learning Development companies
InData Labs vs Tensorway InData Labs vs Simform InData Labs vs Blackthorn Vision InData Labs vs Codiste InData Labs vs DataRoot Labs InData Labs vs *instinctools InData Labs vs Neoteric InData Labs vs MobiDev InData Labs vs Leobit InData Labs vs STX Next InData Labs vs LeewayHertz InData Labs vs ScienceSoft InData Labs vs Fractal Analytics InData Labs vs Acropolium InData Labs vs Scopic InData Labs vs Iflexion InData Labs vs N-iX InData Labs vs Intellias InData Labs vs Oxagile InData Labs vs Innowise InData Labs vs Appinventiv InData Labs vs Devox Software InData Labs vs Intuz InData Labs vs Softeq InData Labs vs Itransition InData Labs vs ELEKS InData Labs vs Avenga InData Labs vs DataArt InData Labs vs Ciklum InData Labs vs Sigmoidal InData Labs vs Codiant InData Labs vs GlobalLogic InData Labs vs BairesDev InData Labs vs DataRobot InData Labs vs EPAM Systems InData Labs vs Accenture InData Labs vs Cognizant