Top Machine Learning Development Services in Europe

Tensorway vs InData Labs: full comparison for 2026

Quick verdict

Tensorway (4.6/5) edges ahead of InData Labs (4.4/5) overall. Tensorway is the better choice for mid-market fintech and energy, boutique forecasting models. InData Labs is the stronger option for companies wanting decade-plus data science, in-house R&D. The right choice depends on your project size, budget, and required tech stack.

Tensorway vs InData Labs: head-to-head summary

Criterion Tensorway InData Labs
Founded 2019 2014
HQ Alicante, Spain (secondary office in San Mateo, California) Nicosia, Cyprus (R&D and delivery centers in Lithuania and the US)
Team size 50+ 80+
Rating 4.6 / 5 4.4 / 5
Primary differentiator spun out of an established software company's applied R&D unit in 2019, giving it delivery processes more mature than most five-year-old AI boutiques Runs its own R&D center rather than purely project-based delivery, spanning generative AI/GPT integration through classic predictive analytics and computer vision
Pricing model Fixed project, Time & Materials, dedicated team, consulting retainer Fixed project, Time & Materials
Min. engagement $10,000+ Not published
Primary tech stack Python, PyTorch, TensorFlow Python, Generative AI/GPT tooling, Computer vision frameworks
Industries served Fintech, Energy & Utilities, Logistics, Private Equity Cross-industry, Predictive Analytics

Tensorway vs InData Labs: overview

Tensorway

Tensorway is an AI development company founded in 2019 in Alicante, Spain, that emerged from its parent company's applied R&D unit as interest in AI grew inside the older software firm. It builds custom forecasting models and ML-powered products for clients in fintech, supply chain, and energy, alongside computer vision, NLP, and generative AI work.

InData Labs

InData Labs is a data science and AI consultancy legally headquartered in Nicosia, Cyprus, founded in 2014 by video-gaming industry veteran Marat Karpeko, with R&D and delivery centers in Lithuania and the US. The 80+ person firm runs its own R&D center and covers a wide technical band from generative AI and GPT integration through predictive analytics, forecasting, and computer vision. Its Cyprus legal HQ gives clients an EU-entity contracting structure alongside nearshore delivery capacity.

Services and capabilities: Tensorway vs InData Labs

Capability Tensorway InData Labs
ML Development
AI Consulting
Computer Vision
NLP
Generative AI
MLOps
Data Engineering
Staff Augmentation

Tech stack comparison: Tensorway vs InData Labs

Framework / platform Tensorway InData Labs
Python
AWS N/A
Microsoft Azure N/A N/A
Google Cloud N/A N/A
Kubernetes N/A N/A
PyTorch N/A
LangChain N/A
Databricks N/A N/A

Pricing comparison: Tensorway vs InData Labs

Criterion Tensorway InData Labs
Minimum engagement $10,000+ Not published
Engagement models Fixed project, Time & Materials, Dedicated team, Consulting retainer Fixed project, Time & Materials
Rate transparency Minimum disclosed Not public
Price tier Accessible Enterprise / mid-market

Target audience comparison: Tensorway vs InData Labs

Dimension Tensorway InData Labs
Best company size Startup to mid-market Startup to mid-market
Best industries Fintech, Energy & Utilities, Logistics Cross-industry, Predictive Analytics
Best use cases Fintech fraud detection and forecasting models, Customer segmentation for e-commerce Generative AI and GPT integration projects, Predictive analytics and forecasting
Typical project type Fixed project Fixed project

Tensorway vs InData Labs: pros and cons

Tensorway
+ Deep specialization in forecasting and NLP rather than a broad generalist service menu
+ $10K minimum engagement keeps the door open to smaller pilot projects
+ Direct founder involvement in client engagements (per company website)
- Team spans two office locations, so the ML headcount dedicated to a specific project is unclear
- Public case study count is modest compared to larger regional players
InData Labs
+ Founded 2014 — one of the longer-running boutique data science firms in this list
+ In-house R&D center is a differentiator versus pure staff-augmentation vendors
+ Cyprus legal HQ with Lithuania/US delivery centers gives EU-entity contracting plus nearshore delivery
+ Broad technical range from generative AI to classic forecasting and computer vision
- 80+ employee band is imprecise — exact current headcount is not independently published
- Legal HQ (Cyprus) is a smaller AI hub than its Lithuania delivery center, which may matter to buyers wanting an on-the-ground presence
- Pricing model and minimum engagement are not published

Who should choose Tensorway?

A typical fit: fintech fraud detection and forecasting models.

spun out of an established software company's applied R&D unit in 2019, giving it delivery processes more mature than most five-year-old AI boutiques. Minimum engagement starts at $10,000+. Works best with clients in Fintech, Energy & Utilities, Logistics, Private Equity.

Who should choose InData Labs?

A typical fit: generative AI and GPT integration projects.

Runs its own R&D center rather than purely project-based delivery, spanning generative AI/GPT integration through classic predictive analytics and computer vision. Minimum engagement starts at Not published. Works best with clients in Cross-industry, Predictive Analytics.

Decision matrix: Tensorway vs InData Labs

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 ($10,000+) vs InData Labs (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 Tensorway

Use case fit: Tensorway vs InData Labs

Use case Tensorway fit InData Labs fit Winner
Fintech fraud detection and forecasting models Strong Limited Tensorway
Customer segmentation for e-commerce Strong Limited Tensorway
Generative AI and GPT integration projects Limited Strong InData Labs
Predictive analytics and forecasting Limited Strong InData Labs
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: Tensorway vs InData Labs

Tensorway (4.6/5) is the stronger overall choice for most Machine Learning Development projects. spun out of an established software company's applied R&D unit in 2019, giving it delivery processes more mature than most five-year-old AI boutiques.

InData Labs (4.4/5) is worth a look if you need predictive analytics and forecasting. If your situation matches that, InData Labs is a competitive option.

Related comparisons

Tensorway vs InData Labs FAQ

Is Tensorway better than InData Labs?

Tensorway (4.6/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: deep specialization in forecasting and NLP rather than a broad generalist service menu. InData Labs's strongest advantage: founded 2014 — one of the longer-running boutique data science firms in this list.

How do Tensorway and InData Labs differ in pricing?

Tensorway uses fixed project, time & materials, dedicated team, consulting retainer pricing with a minimum engagement of $10,000+. InData Labs uses fixed project, time & materials 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 InData Labs?

InData Labs 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 InData Labs?

Tensorway's primary differentiator is: spun out of an established software company's applied R&D unit in 2019, giving it delivery processes more mature than most five-year-old AI boutiques. InData Labs's primary differentiator is: runs its own R&D center rather than purely project-based delivery, spanning generative AI/GPT integration through classic predictive analytics and computer vision. They also differ in team size (50+ vs 80+), minimum engagement ($10,000+ vs Not published), and primary industries served (Fintech, Energy & Utilities vs Cross-industry, Predictive Analytics).