ELEKS
A 35-year-old Lviv software engineering firm with 2,100+ employees and 1,000+ delivered data-driven ML projects across multiple industries.
Founded 1991 | Lviv, Ukraine / Chicago, IL, USA | 2,000–3,000 employees
custom-mlpredictive-analyticsdata-engineeringml-consultingmlops
What is ELEKS?
ELEKS is a software engineering and technology consulting company established in 1991 in Lviv, Ukraine, with offices in Chicago, Illinois and across Europe and globally, employing 2,100+ professionals. The company has a 35-year track record with over 1,000 successfully delivered data-driven projects and serves Fortune 500 companies alongside mid-market clients. ELEKS delivers machine learning solutions for market forecasting, demand prediction, capacity planning, and inventory management, with clients across healthcare, retail, financial services, and manufacturing.
ELEKS was founded in 1991 and is headquartered in Lviv, Ukraine / Chicago, IL, USA. The firm employs 2,000–3,000 people and works primarily with clients in Healthcare, Manufacturing, Fintech, Retail, Logistics sectors. Its primary differentiator is: 35-year software engineering heritage with 1,000+ delivered data-driven projects and US presence in Chicago for North American enterprise clients.
ELEKS tech stack and services
PythonScikit-learnTensorFlowPyTorchAzure MLAWSPower BISQL ServerMLflowDocker
| Service area |
|---|
| Custom ML Development |
| Predictive Analytics |
| Data Engineering |
| ML Consulting |
| MLOps & Deployment |
ELEKS use cases
Short answer: ELEKS is best suited for fortune 500 enterprises, established European ML partner.
| Use case |
|---|
| Market forecasting ML for retail sales planning and inventory optimisation |
| Demand prediction for manufacturing capacity planning and scheduling |
| ML-powered financial reporting and enterprise analytics dashboards |
| Healthcare data analytics and clinical decision support models |
| AI-powered ERP and CRM data enrichment for large enterprise systems |
ELEKS pricing
Short answer: ELEKS uses a dedicated team, t&m, fixed project pricing approach. Minimum engagement starts at $100K.
| Engagement model | Typical range | Best for |
|---|---|---|
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Time & materials | Variable; depends on team size | Large programmes or team augmentation |
| Fixed project | From $100K | Well-defined scope |
ELEKS does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
ELEKS pros and cons
| Advantages | Things to consider |
|---|---|
| +35-year track record with 1,000+ delivered data-driven projects at named enterprise clients | -$100K minimum engagement limits access to enterprise-scale budgets only |
| +Fortune 500 client experience provides enterprise delivery maturity and governance | -ML is one service within a broad software engineering practice — not AI-first |
| +US Chicago office for North American enterprise client engagement and relationship management | -Ukraine primary delivery requires business continuity assessment for regulated industries |
| +Wide industry coverage across healthcare, retail, manufacturing, and financial services | |
| +2,100+ engineers provide delivery capacity for large concurrent enterprise programmes |
ELEKS vs alternatives
How ELEKS compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| InData Labs | Mid-market companies, verified-track-record production ML. | Pure-play data science boutique with 4.9/5 Clutch rating across 18 independent reviews and documented post-launch iteration model | 4.8 | Full comparison |
| 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 |
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| 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 |
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| 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 |
| 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 |
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| 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 |
ELEKS FAQ
What is ELEKS?
ELEKS is a software engineering and technology consulting company established in 1991 in Lviv, Ukraine, with offices in Chicago, Illinois and across Europe and globally, employing 2,100+ professionals. The company has a 35-year track record with over 1,000 successfully delivered data-driven projects and serves Fortune 500 companies alongside mid-market clients. ELEKS delivers machine learning solutions for market forecasting, demand prediction, capacity planning, and inventory management, with clients across healthcare, retail, financial services, and manufacturing.
How much does ELEKS charge?
ELEKS uses dedicated team, t&m, fixed project pricing. Minimum engagement starts at $100K. A discovery call is required to get project-specific quotes.
What tech stack does ELEKS use?
ELEKS works with Python, Scikit-learn, TensorFlow, PyTorch, Azure ML, AWS, Power BI, SQL Server, MLflow, Docker. Primary industries served include Healthcare, Manufacturing, Fintech, Retail, Logistics.
Is ELEKS right for enterprise?
Fortune 500 enterprises, established European ML partner. 2,000–3,000 team size. Key consideration: $100K minimum engagement limits access to enterprise-scale budgets only.
What are the best ELEKS alternatives?
The best alternatives to ELEKS depend on your use case. Top options are:
- InData Labs: pure-play data science boutique with 4.9/5 clutch rating across 18 independent reviews and documented post-launch iteration model
- 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
Compare ELEKS with other Machine Learning Development companies
ELEKS vs InData Labs ELEKS vs Tensorway ELEKS vs Simform ELEKS vs Blackthorn Vision ELEKS vs Codiste ELEKS vs DataRoot Labs ELEKS vs *instinctools ELEKS vs Neoteric ELEKS vs MobiDev ELEKS vs Leobit ELEKS vs STX Next ELEKS vs LeewayHertz ELEKS vs ScienceSoft ELEKS vs Fractal Analytics ELEKS vs Acropolium ELEKS vs Scopic ELEKS vs Iflexion ELEKS vs N-iX ELEKS vs Intellias ELEKS vs Oxagile ELEKS vs Innowise ELEKS vs Appinventiv ELEKS vs Devox Software ELEKS vs Intuz ELEKS vs Softeq ELEKS vs Itransition ELEKS vs Avenga ELEKS vs DataArt ELEKS vs Ciklum ELEKS vs Sigmoidal ELEKS vs Codiant ELEKS vs GlobalLogic ELEKS vs BairesDev ELEKS vs DataRobot ELEKS vs EPAM Systems ELEKS vs Accenture ELEKS vs Cognizant