InData Labs vs Alexander Thamm: full comparison for 2026
Last updated: July 2026
Quick verdict
InData Labs (4.4/5) edges ahead of Alexander Thamm (4.2/5) overall. InData Labs is the better choice for companies wanting a decade-plus data science track record with in-house R&D rather than a pure project-delivery shop.. Alexander Thamm is the stronger option for large German and DACH-region enterprises — especially automotive and manufacturing — wanting a manufacturer-independent AI and data consultancy at scale.. The right choice depends on your project size, budget, and required tech stack.
InData Labs vs Alexander Thamm: head-to-head summary
| Criterion | InData Labs | Alexander Thamm |
|---|---|---|
| Founded | 2014 | 2012 |
| HQ | Nicosia, Cyprus (R&D and delivery centers in Lithuania and the US) | Munich, Germany |
| Team size | 80+ | ~500 (across 10 locations) |
| Rating | 4.4 / 5 | 4.2 / 5 |
| Best for | Companies wanting a decade-plus data science track record with in-house R&D rather than a pure project-delivery shop. | Large German and DACH-region enterprises — especially automotive and manufacturing — wanting a manufacturer-independent AI and data consultancy at scale. |
| Pricing model | Fixed project, Time & Materials | Consulting retainer, enterprise engagement |
| Min. engagement | Not published | Not published (enterprise-scale engagements) |
| Primary tech stack | Python, Generative AI/GPT tooling, Computer vision frameworks | Python, Data engineering pipelines, Agentic AI frameworks |
| Industries served | Cross-industry, Predictive Analytics | Automotive & Manufacturing, Financial Services, Transport & Logistics, Public Sector |
InData Labs vs Alexander Thamm: overview
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.
Alexander Thamm
Alexander Thamm is a Munich, Germany data and AI consultancy founded in 2012, with roughly 500 employees across 10 locations and 3,500+ completed projects for clients including BVG, Deutsche Bahn, Porsche, Volkswagen, MTU Aero Engines, and Škoda. It positions its 'whitebox solutions' around transparency and manufacturer-independence, avoiding lock-in to a single cloud vendor's ML stack, and runs an in-house Data Academy for client training and knowledge transfer.
Services and capabilities: InData Labs vs Alexander Thamm
| Capability | InData Labs | Alexander Thamm |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI | ✓ | ✓ |
| MLOps | ✗ | ✗ |
| Data Engineering | ✓ | ✓ |
| Staff Augmentation | ✗ | ✗ |
Tech stack comparison: InData Labs vs Alexander Thamm
| Framework / platform | InData Labs | Alexander Thamm |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | N/A | N/A |
| Microsoft Azure | N/A | N/A |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | N/A |
| PyTorch | N/A | N/A |
| LangChain | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: InData Labs vs Alexander Thamm
| Criterion | InData Labs | Alexander Thamm |
|---|---|---|
| Minimum engagement | Not published | Not published (enterprise-scale engagements) |
| Engagement models | Fixed project, Time & Materials | Consulting retainer, Dedicated team, Enterprise program |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / mid-market | Enterprise / mid-market |
Target audience comparison: InData Labs vs Alexander Thamm
| Dimension | InData Labs | Alexander Thamm |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | Cross-industry, Predictive Analytics | Automotive & Manufacturing, Financial Services, Transport & Logistics |
| Best use cases | Generative AI and GPT integration projects, Predictive analytics and forecasting | Enterprise data and AI strategy for automotive OEMs, Manufacturing process optimization with ML |
| Typical project type | Fixed project | Consulting retainer |
InData Labs vs Alexander Thamm: pros and cons
| 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 |
| Alexander Thamm | |
|---|---|
| + | 3,500+ completed projects and blue-chip clients (BVG, Deutsche Bahn, Porsche, Volkswagen, Škoda) demonstrate enterprise-scale delivery |
| + | In-house Data Academy provides client training and knowledge transfer alongside delivery |
| + | Manufacturer-independent positioning avoids lock-in to a single cloud vendor's ML stack |
| + | 10 office locations give strong DACH-region coverage |
| - | Enterprise-scale engagement model and pricing are not accessible for smaller buyers |
| - | 500-person scale trades boutique specialization depth for breadth across many industries |
| - | Heavier automotive and manufacturing concentration may be less relevant for buyers outside those sectors |
Who should choose InData Labs?
InData Labs is the right choice for companies wanting a decade-plus data science track record with in-house R&D rather than a pure project-delivery shop..
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.
Who should choose Alexander Thamm?
Alexander Thamm is the right choice for large German and DACH-region enterprises — especially automotive and manufacturing — wanting a manufacturer-independent AI and data consultancy at scale..
'Whitebox solutions' positioning emphasizes transparency and manufacturer independence, backed by 3,500+ completed projects and blue-chip automotive clients.. Minimum engagement starts at Not published (enterprise-scale engagements). Works best with clients in Automotive & Manufacturing, Financial Services, Transport & Logistics, Public Sector.
Decision matrix: InData Labs vs Alexander Thamm
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | InData Labs |
| You need a large dedicated team for an ongoing programme | Alexander Thamm |
| Your budget is at the lower end | Compare: InData Labs (Not published) vs Alexander Thamm (Not published (enterprise-scale engagements)) |
| You need specialist depth in a specific vertical | Alexander Thamm |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | InData Labs |
Use case fit: InData Labs vs Alexander Thamm
| Use case | InData Labs fit | Alexander Thamm fit | Winner |
|---|---|---|---|
| Generative AI and GPT integration projects | Strong | Limited | InData Labs |
| Predictive analytics and forecasting | Strong | Limited | InData Labs |
| Enterprise data and AI strategy for automotive OEMs | Limited | Strong | Alexander Thamm |
| Manufacturing process optimization with ML | Limited | Strong | Alexander Thamm |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: InData Labs vs Alexander Thamm
InData Labs (4.4/5) is the stronger overall choice for most Machine Learning Development 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.. It is best for companies wanting a decade-plus data science track record with in-house R&D rather than a pure project-delivery shop..
Alexander Thamm (4.2/5) is the better choice when large German and DACH-region enterprises — especially automotive and manufacturing — wanting a manufacturer-independent AI and data consultancy at scale.. If your situation matches those criteria, Alexander Thamm is a competitive option.
Related comparisons
InData Labs vs Alexander Thamm FAQ
Is InData Labs better than Alexander Thamm?
InData Labs (4.4/5) scores higher overall, but "better" depends on your use case. InData Labs is better for companies wanting a decade-plus data science track record with in-house R&D rather than a pure project-delivery shop.. Alexander Thamm is better for large German and DACH-region enterprises — especially automotive and manufacturing — wanting a manufacturer-independent AI and data consultancy at scale..
How do InData Labs and Alexander Thamm differ in pricing?
InData Labs uses fixed project, time & materials pricing with a minimum engagement of Not published. Alexander Thamm uses consulting retainer, enterprise engagement pricing with a minimum engagement of Not published (enterprise-scale engagements). Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: InData Labs or Alexander Thamm?
Alexander Thamm 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 InData Labs and Alexander Thamm?
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.. Alexander Thamm's primary differentiator is: 'whitebox solutions' positioning emphasizes transparency and manufacturer independence, backed by 3,500+ completed projects and blue-chip automotive clients.. They also differ in team size (80+ vs ~500 (across 10 locations)), minimum engagement (Not published vs Not published (enterprise-scale engagements)), and primary industries served (Cross-industry, Predictive Analytics vs Automotive & Manufacturing, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.