Appinventiv vs ELEKS: full comparison for 2026
Last updated: July 2026
Quick verdict
Appinventiv (3.7/5) edges ahead of ELEKS (3.6/5) overall. Appinventiv is the better choice for enterprise and mid-market companies needing ML features integrated into mobile and web products at scale. ELEKS is the stronger option for enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes. The right choice depends on your project size, budget, and required tech stack.
Appinventiv vs ELEKS: head-to-head summary
| Criterion | Appinventiv | ELEKS |
|---|---|---|
| Founded | 2015 | 1991 |
| HQ | Noida, India / New York, NY, USA | Lviv, Ukraine / Chicago, IL, USA |
| Team size | 1,000–2,000 | 2,000–3,000 |
| Rating | 3.7 / 5 | 3.6 / 5 |
| Best for | Enterprise and mid-market companies needing ML features integrated into mobile and web products at scale | Enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes |
| Pricing model | Fixed project, dedicated team, T&M | Dedicated team, T&M, fixed project |
| Min. engagement | $25K | $100K |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, Scikit-learn, TensorFlow |
| Industries served | Healthcare, Fintech, Logistics, Retail, E-commerce | Healthcare, Manufacturing, Fintech, Retail, Logistics |
Appinventiv vs ELEKS: overview
Appinventiv
Appinventiv is a technology company founded in 2015, headquartered in Noida, India with offices in New York, USA, employing 1,600+ professionals including 200+ dedicated machine learning experts. The firm delivers ML development services from concept to production across mobile, web, and enterprise platforms, covering data workflows, model development, integration, and post-launch iteration. Appinventiv serves clients across healthcare, fintech, logistics, and retail. The company has executed 700+ digital projects and holds a Clutch rating across multiple reviewers.
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.
Services and capabilities: Appinventiv vs ELEKS
| Capability | Appinventiv | ELEKS |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✓ | ✗ |
| NLP & text analytics | ✓ | ✗ |
| MLOps & deployment | ✗ | ✓ |
| Generative AI | ✓ | ✗ |
| ML consulting & strategy | ✗ | ✓ |
| Staff augmentation | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Appinventiv vs ELEKS
| Framework / platform | Appinventiv | ELEKS |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| Scikit-learn | N/A | ✓ |
| AWS SageMaker | N/A | N/A |
| MLflow | N/A | ✓ |
| Hugging Face | N/A | N/A |
| LangChain | ✓ | N/A |
| Docker/Kubernetes | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: Appinventiv vs ELEKS
| Criterion | Appinventiv | ELEKS |
|---|---|---|
| Minimum engagement | $25K | $100K |
| Engagement models | Fixed project, Dedicated team, Time & materials | Dedicated team, Time & materials, Fixed project |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Appinventiv vs ELEKS
| Dimension | Appinventiv | ELEKS |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Healthcare, Fintech, Logistics | Healthcare, Manufacturing, Fintech |
| Best use cases | ML-powered features integrated into mobile healthcare patient applications, Predictive analytics dashboards for fintech risk management and compliance | Market forecasting ML for retail sales planning and inventory optimisation, Demand prediction for manufacturing capacity planning and scheduling |
| Typical project type | Fixed project | Dedicated team |
Appinventiv vs ELEKS: pros and cons
| Appinventiv | |
|---|---|
| + | 200+ dedicated ML experts within a large firm — specialisation at scale |
| + | Strong coverage of computer vision, NLP, and generative AI within a single team |
| + | Mobile and web product delivery alongside ML reduces integration overhead |
| + | 700+ completed projects provides delivery maturity across multiple industries |
| + | US New York office provides enterprise sales and account management in North American timezone |
| - | India-primary delivery teams require proactive timezone management for US and EU clients |
| - | Large firm structure can mean less senior attention on smaller mid-market engagements |
| - | Marketing-heavy company positioning requires independent validation of delivery quality claims |
| ELEKS | |
|---|---|
| + | 35-year track record with 1,000+ delivered data-driven projects at named enterprise clients |
| + | Fortune 500 client experience provides enterprise delivery maturity and governance |
| + | US Chicago office for North American enterprise client engagement and relationship management |
| + | Wide industry coverage across healthcare, retail, manufacturing, and financial services |
| + | 2,100+ engineers provide delivery capacity for large concurrent enterprise programmes |
| - | $100K minimum engagement limits access to enterprise-scale budgets only |
| - | ML is one service within a broad software engineering practice — not AI-first |
| - | Ukraine primary delivery requires business continuity assessment for regulated industries |
Who should choose Appinventiv?
Appinventiv is the right choice for enterprise and mid-market companies needing ML features integrated into mobile and web products at scale.
200+ dedicated ML experts within a 1,600+ person firm delivering ML at scale within mobile and enterprise product development. Minimum engagement starts at $25K. Works best with clients in Healthcare, Fintech, Logistics, Retail, E-commerce.
Who should choose ELEKS?
ELEKS is the right choice for enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes.
35-year software engineering heritage with 1,000+ delivered data-driven projects and US presence in Chicago for North American enterprise clients. Minimum engagement starts at $100K. Works best with clients in Healthcare, Manufacturing, Fintech, Retail, Logistics.
Decision matrix: Appinventiv vs ELEKS
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Appinventiv |
| You need a large dedicated team for an ongoing programme | Appinventiv |
| Your budget is at the lower end | Appinventiv |
| You need specialist depth in a specific vertical | Appinventiv |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | ELEKS |
Use case fit: Appinventiv vs ELEKS
| Use case | Appinventiv fit | ELEKS fit | Winner |
|---|---|---|---|
| ML-powered features integrated into mobile healthcare patient applications | Strong | Strong | Both equally |
| Predictive analytics dashboards for fintech risk management and compliance | Strong | Limited | Appinventiv |
| Market forecasting ML for retail sales planning and inventory optimisation | Strong | Strong | Both equally |
| Demand prediction for manufacturing capacity planning and scheduling | Limited | Strong | ELEKS |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Appinventiv vs ELEKS
Appinventiv (3.7/5) is the stronger overall choice for most Machine Learning Development projects. 200+ dedicated ML experts within a 1,600+ person firm delivering ML at scale within mobile and enterprise product development. It is best for enterprise and mid-market companies needing ML features integrated into mobile and web products at scale.
ELEKS (3.6/5) is the better choice when enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes. If your situation matches those criteria, ELEKS is a competitive option.
Related comparisons
Appinventiv vs ELEKS FAQ
Is Appinventiv better than ELEKS?
Appinventiv (3.7/5) scores higher overall, but "better" depends on your use case. Appinventiv is better for enterprise and mid-market companies needing ML features integrated into mobile and web products at scale. ELEKS is better for enterprise and Fortune 500 companies needing a long-established European technology partner for ML within broader software programmes.
How do Appinventiv and ELEKS differ in pricing?
Appinventiv uses fixed project, dedicated team, t&m pricing with a minimum engagement of $25K. ELEKS uses dedicated team, t&m, fixed project pricing with a minimum engagement of $100K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Appinventiv or ELEKS?
ELEKS is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.
What are the main differences between Appinventiv and ELEKS?
Appinventiv's primary differentiator is: 200+ dedicated ml experts within a 1,600+ person firm delivering ml at scale within mobile and enterprise product development. ELEKS's 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. They also differ in team size (1,000–2,000 vs 2,000–3,000), minimum engagement ($25K vs $100K), and primary industries served (Healthcare, Fintech vs Healthcare, Manufacturing).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.