Tensorway vs ELEKS: full comparison for 2026
Last updated: July 2026
Quick verdict
Tensorway (4.8/5) edges ahead of ELEKS (4.1/5) overall. Tensorway is the better choice for mid-market fintech, supply chain, and SaaS companies that need a hybrid statistical/deep-learning forecasting model built and put into production.. ELEKS is the stronger option for enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor.. The right choice depends on your project size, budget, and required tech stack.
Tensorway vs ELEKS: head-to-head summary
| Criterion | Tensorway | ELEKS |
|---|---|---|
| Founded | 2019 | 1991 |
| HQ | Alicante, Spain | Tallinn, Estonia (engineering hub: Lviv, Ukraine) |
| Team size | 51–200 | 1,001–5,000 |
| Rating | 4.8 / 5 | 4.1 / 5 |
| Best for | Mid-market fintech, supply chain, and SaaS companies that need a hybrid statistical/deep-learning forecasting model built and put into production. | Enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor. |
| Pricing model | Time & Material, Fixed-Price PoC, Extended Team, Dedicated Team, R&D Development | Time & Material, Fixed project |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, Cloud ML platforms (AWS/Azure/GCP), Data engineering tooling |
| Industries served | Fintech, Supply chain, Energy, B2B SaaS, Healthcare, Retail | Financial services, Healthcare, Manufacturing, Insurance |
Tensorway vs ELEKS: overview
Tensorway
Tensorway builds and fine-tunes machine learning models for fintech, supply chain, energy, and B2B SaaS clients, with particular depth in hybrid approaches that combine statistical forecasting baselines with deep learning. The company was founded in 2019 and operates as a spin-off of Anadea, a Spain-based software development company with roughly two decades of engineering history. Its delivery team spans data scientists, full-stack AI engineers, MLOps specialists, and QA engineers who support the full lifecycle from custom model training through deployment and monitoring. Case studies published on its site include a Named Entity Recognition model for automated Latvian/English invoice processing and a multi-agent deal-sourcing system for an investment firm.
ELEKS
ELEKS is a long-running European software engineering company founded in 1991, with corporate presence in Tallinn, Estonia and its largest engineering hub in Lviv, Ukraine, alongside additional offices across Europe and North America. The company reports more than 2,000 employees and operates a dedicated data science and AI practice layered onto its broader enterprise software engineering services. Its history predates the modern AI/ML consulting wave by roughly three decades, giving it an unusually long operating track record compared to most peers in this list.
Services and capabilities: Tensorway vs ELEKS
| Capability | Tensorway | ELEKS |
|---|---|---|
| Custom model training | ✓ | ✓ |
| Fine-tuning & adaptation | ✓ | ✗ |
| MLOps pipeline | ✓ | ✓ |
| Model deployment & serving | ✓ | ✗ |
| Data engineering for ML | ✓ | ✓ |
| ML infrastructure management | ✗ | ✗ |
| Computer vision | ✗ | ✗ |
| NLP & LLM development | ✗ | ✗ |
| Forecasting & time-series modeling | ✓ | ✗ |
| ML strategy consulting | ✗ | ✗ |
Tech stack comparison: Tensorway vs ELEKS
| Framework / platform | Tensorway | ELEKS |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| MLflow | ✓ | N/A |
| AWS SageMaker | ✓ | N/A |
| Amazon Bedrock | N/A | N/A |
| Google Cloud | N/A | N/A |
| Microsoft Azure | N/A | N/A |
| Kubernetes | ✓ | ✓ |
| Snowflake | N/A | N/A |
| NVIDIA | N/A | N/A |
Pricing comparison: Tensorway vs ELEKS
| Criterion | Tensorway | ELEKS |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Time & Material, Fixed-price PoC, Extended team, Dedicated team, R&D development | Time & Material, Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Tensorway vs ELEKS
| Dimension | Tensorway | ELEKS |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Supply chain, Energy | Financial services, Healthcare, Manufacturing |
| Best use cases | Building a hybrid time-series forecasting model for supply chain or energy demand planning, Fine-tuning an NER model for multilingual document/invoice extraction | Running an enterprise-scale data science initiative alongside a broader software modernization program, Engaging a long-tenured, stable partner for a multi-year digital transformation that includes ML components |
| Typical project type | Time & Material | Time & Material |
Tensorway vs ELEKS: pros and cons
| Tensorway | |
|---|---|
| + | Named Clutch reviews describe organized project management and consistently met deadlines. |
| + | Combines statistical and deep-learning methods rather than over-indexing on one approach. |
| + | Backed by Anadea's two-decade software delivery track record, reducing single-point-of-failure risk. |
| + | Published, verifiable case studies with concrete outcomes (e.g., NER-based invoice automation). |
| + | Broad five-tier engagement menu makes it accessible for both PoC-stage and scaling clients. |
| - | Relatively small team (51–200) limits capacity for very large, multi-workstream enterprise programs. |
| - | Public case study volume is thin relative to larger competitors, so vertical-specific proof points are limited outside fintech/supply chain. |
| - | Clients note post-engagement follow-up could be more structured (per Clutch reviews). |
| - | No published pricing floor, requiring a scoping call before cost clarity. |
| ELEKS | |
|---|---|
| + | Over three decades of continuous operation, unusually long for this category. |
| + | Large engineering bench (2,000+ employees) supports substantial delivery capacity. |
| + | Data science practice is embedded within a mature enterprise software engineering organization. |
| + | Multi-region European and North American office footprint. |
| - | AI/ML is one practice area within a much broader enterprise software portfolio, not the company's primary specialization. |
| - | Specific, named ML case studies with quantified outcomes are limited in available public sources. |
| - | Pricing minimums are not published. |
| - | Long operating history does not necessarily translate into deep modern ML/LLM specialization relative to newer, AI-first boutiques. |
Who should choose Tensorway?
Tensorway is the right choice for mid-market fintech, supply chain, and SaaS companies that need a hybrid statistical/deep-learning forecasting model built and put into production..
Combines classical statistical forecasting with deep learning rather than defaulting to deep learning alone, and ships with experiment tracking and monitoring built in.. Minimum engagement starts at Not published. Works best with clients in Fintech, Supply chain, Energy, B2B SaaS, Healthcare, Retail.
Who should choose ELEKS?
ELEKS is the right choice for enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor..
One of the longest operating histories (since 1991) among firms researched for this list, predating the AI consulting boom by decades.. Minimum engagement starts at Not published. Works best with clients in Financial services, Healthcare, Manufacturing, Insurance.
Decision matrix: Tensorway vs ELEKS
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Tensorway |
| You need a large dedicated team for an ongoing programme | Tensorway |
| Your budget is at the lower end | Compare: Tensorway (Not published) vs ELEKS (Not published) |
| You need specialist depth in a specific vertical | Tensorway |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Tensorway vs ELEKS
| Use case | Tensorway fit | ELEKS fit | Winner |
|---|---|---|---|
| Building a hybrid time-series forecasting model for supply chain or energy demand planning | Strong | Strong | Both equally |
| Fine-tuning an NER model for multilingual document/invoice extraction | Strong | Limited | Tensorway |
| Running an enterprise-scale data science initiative alongside a broader software modernization program | Limited | Strong | ELEKS |
| Engaging a long-tenured, stable partner for a multi-year digital transformation that includes ML components | Limited | Strong | ELEKS |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Limited | Limited | Both equally |
Verdict: Tensorway vs ELEKS
Tensorway (4.8/5) is the stronger overall choice for most ML Model Development projects. Combines classical statistical forecasting with deep learning rather than defaulting to deep learning alone, and ships with experiment tracking and monitoring built in.. It is best for mid-market fintech, supply chain, and SaaS companies that need a hybrid statistical/deep-learning forecasting model built and put into production..
ELEKS (4.1/5) is the better choice when enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor.. If your situation matches those criteria, ELEKS is a competitive option.
Related comparisons
Tensorway vs ELEKS FAQ
Is Tensorway better than ELEKS?
Tensorway (4.8/5) scores higher overall, but "better" depends on your use case. Tensorway is better for mid-market fintech, supply chain, and SaaS companies that need a hybrid statistical/deep-learning forecasting model built and put into production.. ELEKS is better for enterprises wanting a long-established European software engineering partner with an added data science practice rather than an AI-only startup vendor..
How do Tensorway and ELEKS differ in pricing?
Tensorway uses time & material, fixed-price poc, extended team, dedicated team, r&d development pricing with a minimum engagement of Not published. ELEKS uses time & material, fixed project pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Tensorway 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 Tensorway and ELEKS?
Tensorway's primary differentiator is: combines classical statistical forecasting with deep learning rather than defaulting to deep learning alone, and ships with experiment tracking and monitoring built in.. ELEKS's primary differentiator is: one of the longest operating histories (since 1991) among firms researched for this list, predating the ai consulting boom by decades.. They also differ in team size (51–200 vs 1,001–5,000), minimum engagement (Not published vs Not published), and primary industries served (Fintech, Supply chain vs Financial services, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.