Top AI Development Agencies

Tensorway vs InData Labs: full comparison for 2026

Quick verdict

Tensorway (4.8/5) edges ahead of InData Labs (4.1/5) overall. Tensorway is the better choice for regulated industries needing certified AI delivery. InData Labs is the stronger option for teams needing data science depth before an AI build. 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 Limassol, Cyprus
Team size 20-50 51-200
Rating 4.8 / 5 4.1 / 5
Primary differentiator Documented GDPR, HIPAA, ISO 9001, and ISO 27001 compliance on every engagement Data-science-first heritage predating the generative AI branding wave
Pricing model Fixed-scope project, dedicated team, or paid discovery phase Fixed project or dedicated team
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, PyTorch, TensorFlow Python, scikit-learn, TensorFlow
Industries served Legal, Private equity & finance, E-learning, Sports & media Retail & e-commerce, Gaming, Fintech, Healthcare

Tensorway vs InData Labs: overview

Tensorway

A longer-running Alicante, Spain software house with roughly 25 years of prior delivery history spun up Tensorway as a dedicated AI unit in 2019 rather than folding AI work into its existing generalist teams. The unit stays small on purpose, roughly 20-50 deep learning architects, MLOps engineers, ML engineers, and QAs, and every engagement is documented against GDPR, HIPAA, ISO 9001, and ISO 27001 standards, a compliance bar most agencies on this list don't publish. Named work includes an agentic tutor that grades essays for an Australian e-learning company, a legal document automation agent reported at roughly 90% accuracy for a US law practice (per company website; independently unverifiable), and a deal-sourcing agent for a Swedish private equity firm.

InData Labs

InData Labs was founded in 2014 by gaming-industry veteran Marat Karpeko and is headquartered in Cyprus, with additional offices reported in Lithuania and the US. Staff estimates swing between roughly 65 and 200 across sources, common for agencies blending core employees with project contractors. Its practice centers on data science, predictive analytics, natural language processing, computer vision, and large-scale data analytics, positioning it closer to a data-first consultancy than a generative-AI-branded agency.

Services and capabilities: Tensorway vs InData Labs

Capability Tensorway InData Labs
Generative AI
Machine learning
AI agents
MLOps
AI consulting
Fixed-price projects
Dedicated team model

Tech stack comparison: Tensorway vs InData Labs

Framework / platform Tensorway InData Labs
Python
PyTorch N/A
TensorFlow
LangChain N/A
AWS
Azure N/A N/A
Kubernetes N/A

Pricing comparison: Tensorway vs InData Labs

Criterion Tensorway InData Labs
Minimum engagement Not disclosed Not disclosed
Engagement models Fixed project, Dedicated team, Discovery phase Fixed project, Dedicated team
Rate transparency Not public Not public
Price tier Mid-market 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 Legal, Private equity & finance, E-learning Retail & e-commerce, Gaming, Fintech
Best use cases Automating a compliance-sensitive manual process in legal, finance, or healthcare., Needing an agency that documents its own compliance posture rather than just claiming it. Building predictive models from an existing data warehouse or event stream., Adding computer vision to a product that already produces image or video data.
Typical project type Fixed project Fixed project

Tensorway vs InData Labs: pros and cons

Tensorway
+ Compliance certification (GDPR, HIPAA, ISO 9001, ISO 27001) is standard, not a premium add-on.
+ AI-only team structure avoids the diluted focus of a generalist agency with an AI side practice.
+ Draws on its parent company's 25-year delivery track record without losing AI specialization.
+ Transfers full IP ownership to the client at project close.
+ Ships an initial working prototype within weeks based on documented case work.
- A 20-50 person team caps parallel capacity for very large enterprise rollouts
- Case studies published so far lean toward early-production scale, not massive deployments
InData Labs
+ Founder's gaming background brings real-time data processing experience to computer vision work.
+ Cyprus headquarters (EU-based) can simplify GDPR-aligned handling for European clients.
+ Predictive analytics and NLP expertise predates the current generative AI wave.
+ More than a decade of track record in a narrower, more defensible specialty.
- Reported team size varies close to 3x across public sources
- Less generative AI and LLM-specific public case work than agencies built specifically around that

Who should choose Tensorway?

A typical fit: automating a compliance-sensitive manual process in legal, finance, or healthcare.

Documented GDPR, HIPAA, ISO 9001, and ISO 27001 compliance on every engagement. Minimum engagement is not publicly disclosed. Works best with clients in Legal, Private equity & finance, E-learning, Sports & media.

Who should choose InData Labs?

A typical fit: building predictive models from an existing data warehouse or event stream.

Data-science-first heritage predating the generative AI branding wave. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Gaming, Fintech, Healthcare.

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 (Not disclosed) vs InData Labs (Not disclosed)
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
Automating a compliance-sensitive manual process in legal, finance, or healthcare. Strong Limited Tensorway
Needing an agency that documents its own compliance posture rather than just claiming it. Strong Limited Tensorway
Building predictive models from an existing data warehouse or event stream. Limited Strong InData Labs
Adding computer vision to a product that already produces image or video data. Limited Strong InData Labs
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: Tensorway vs InData Labs

Tensorway (4.8/5) is the stronger overall choice for most AI Development projects. Documented GDPR, HIPAA, ISO 9001, and ISO 27001 compliance on every engagement.

InData Labs (4.1/5) is worth a look if you need adding computer vision to a product that already produces image or video data. 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 (4.8/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: compliance certification (GDPR, HIPAA, ISO 9001, ISO 27001) is standard, not a premium add-on. InData Labs's strongest advantage: Founder's gaming background brings real-time data processing experience to computer vision work.

How do Tensorway and InData Labs differ in pricing?

Tensorway uses fixed-scope project, dedicated team, or paid discovery phase pricing. InData Labs uses fixed project or dedicated team pricing. 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 agency before shortlisting.

What are the main differences between Tensorway and InData Labs?

Tensorway's primary differentiator is: documented GDPR, HIPAA, ISO 9001, and ISO 27001 compliance on every engagement. InData Labs's primary differentiator is: data-science-first heritage predating the generative AI branding wave. They also differ in team size (20-50 vs 51-200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Legal, Private equity & finance vs Retail & e-commerce, Gaming).

Verify all details directly with each agency before making a decision.