Ciklum vs Andersen Lab: full comparison for 2026
Last updated: July 2026
Quick verdict
Ciklum (4.1/5) edges ahead of Andersen Lab (4.0/5) overall. Ciklum is the better choice for digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery. Andersen Lab is the stronger option for enterprises needing large-scale ML delivery with named Fortune-500-level client references and European delivery footprint. The right choice depends on your project size, budget, and required tech stack.
Ciklum vs Andersen Lab: head-to-head summary
| Criterion | Ciklum | Andersen Lab |
|---|---|---|
| Founded | 2002 | 2007 |
| HQ | London, UK | Łódź, Poland |
| Team size | 3,000+ | 3,700+ |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Best for | Digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery | Enterprises needing large-scale ML delivery with named Fortune-500-level client references and European delivery footprint |
| Pricing model | Dedicated team, T&M, fixed project | Dedicated team, T&M, fixed project |
| Min. engagement | $75K | $50K |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, Scikit-learn |
| Industries served | Financial Services, Retail & E-commerce, Healthcare & Life Sciences, Media & Entertainment, SaaS & Technology | Manufacturing & Industrial, Financial Services, Logistics & Supply Chain, Healthcare & Life Sciences, Media & Entertainment |
Ciklum vs Andersen Lab: overview
Ciklum
Ciklum is an AI-powered experience engineering company founded in 2002 and headquartered in London, UK, with 3,000+ engineers across 19 global locations. The firm brings 25+ years of product and AI excellence to FinTech, Retail, Healthcare, and Hi-Tech — from foundational AI and agentic automation to accelerated software engineering. Ciklum reports 25+ AI products already in production and 10+ years of AI expertise, and serves enterprise clients globally.
Andersen Lab
Andersen Lab is a software development company founded in 2007 and headquartered in Łódź, Poland, with 3,700+ engineers across 16 global locations. The firm has delivered AI and ML projects for major clients including Siemens, S&P Global, Ryanair, Johnson & Johnson, and T-Systems. Andersen harnesses AI, machine learning, data science, big data, and computer vision to create intelligent systems for healthcare, fintech, logistics, automotive, and manufacturing clients.
Services and capabilities: Ciklum vs Andersen Lab
| Capability | Ciklum | Andersen Lab |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✗ | ✓ |
| NLP & LLMs | ✗ | ✗ |
| MLOps & deployment | ✓ | ✓ |
| Generative AI | ✓ | ✗ |
| Staff augmentation | ✓ | ✓ |
Tech stack comparison: Ciklum vs Andersen Lab
| Framework / platform | Ciklum | Andersen Lab |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | ✓ |
| Vertex AI | N/A | N/A |
| Scikit-learn | N/A | ✓ |
| Hugging Face | N/A | N/A |
| Apache Spark | ✓ | ✓ |
| Kubernetes | ✓ | ✓ |
| MLflow | N/A | N/A |
Pricing comparison: Ciklum vs Andersen Lab
| Criterion | Ciklum | Andersen Lab |
|---|---|---|
| Minimum engagement | $75K | $50K |
| Engagement models | Dedicated team, Time & materials, Fixed project | Dedicated team, Time & materials, Fixed project |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Ciklum vs Andersen Lab
| Dimension | Ciklum | Andersen Lab |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial Services, Retail & E-commerce, Healthcare & Life Sciences | Manufacturing & Industrial, Financial Services, Logistics & Supply Chain |
| Best use cases | Enterprise FinTech AI product build with agentic automation and fraud detection ML, Retail personalisation AI platform with product recommendation and pricing optimisation | Enterprise ML delivery for manufacturing industrial automation — Siemens-scale programme, Financial data science and ML model build for capital markets analytics platform |
| Typical project type | Dedicated team | Dedicated team |
Ciklum vs Andersen Lab: pros and cons
| Ciklum | |
|---|---|
| + | 25+ AI products verified in production — strong proof of delivery, not just design |
| + | Global 19-location delivery network for enterprise programmes requiring regional presence |
| + | FinTech, Retail, and Healthcare vertical depth with domain-specific ML capabilities |
| + | Agentic AI and automation practice alongside core ML development |
| + | London HQ provides natural alignment with GDPR and EU AI regulatory frameworks |
| - | $75K minimum limits accessibility for smaller ML projects |
| - | Large-firm delivery model — less agile and responsive than boutiques for fast-iteration work |
| - | Ukraine and Eastern Europe delivery mix carries geopolitical risk for some enterprise procurement teams |
| Andersen Lab | |
|---|---|
| + | Named Fortune-500 client references (Siemens, S&P Global, Ryanair) — the strongest enterprise credibility in this list |
| + | 3,700+ engineers across 16 locations for truly global ML programme delivery |
| + | Multi-industry depth covering healthcare, automotive, manufacturing, and fintech |
| + | Computer vision and big data capabilities alongside core ML |
| + | Poland-based delivery benefits from EU talent quality and GDPR alignment |
| - | $50K minimum limits smaller project accessibility |
| - | Large-firm delivery model — less specialist ML boutique agility for exploratory or fast-iteration work |
| - | Eastern European delivery carries geopolitical continuity risk for some enterprise procurement policies |
Who should choose Ciklum?
Ciklum is the right choice for digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery.
25+ AI products in production combined with 3,000+ global engineers — enterprise AI scale without the big-four overhead. Minimum engagement starts at $75K. Works best with clients in Financial Services, Retail & E-commerce, Healthcare & Life Sciences, Media & Entertainment, SaaS & Technology.
Who should choose Andersen Lab?
Andersen Lab is the right choice for enterprises needing large-scale ML delivery with named Fortune-500-level client references and European delivery footprint.
Named client references including Siemens, S&P Global, and Ryanair — enterprise ML track record at the highest scale. Minimum engagement starts at $50K. Works best with clients in Manufacturing & Industrial, Financial Services, Logistics & Supply Chain, Healthcare & Life Sciences, Media & Entertainment.
Decision matrix: Ciklum vs Andersen Lab
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Ciklum |
| You need a large dedicated team for an ongoing programme | Ciklum |
| Your budget is at the lower end | Andersen Lab |
| You need specialist depth in a specific vertical | Ciklum |
| You need staff augmentation or team extension | Ciklum |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Ciklum vs Andersen Lab
| Use case | Ciklum fit | Andersen Lab fit | Winner |
|---|---|---|---|
| Enterprise FinTech AI product build with agentic automation and fraud detection ML | Strong | Strong | Both equally |
| Retail personalisation AI platform with product recommendation and pricing optimisation | Strong | Limited | Ciklum |
| Enterprise ML delivery for manufacturing industrial automation — Siemens-scale programme | Strong | Strong | Both equally |
| Financial data science and ML model build for capital markets analytics platform | Limited | Strong | Andersen Lab |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Strong | Limited | Ciklum |
Verdict: Ciklum vs Andersen Lab
Ciklum (4.1/5) is the stronger overall choice for most Machine Learning Development projects. 25+ AI products in production combined with 3,000+ global engineers — enterprise AI scale without the big-four overhead. It is best for digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery.
Andersen Lab (4.0/5) is the better choice when enterprises needing large-scale ML delivery with named Fortune-500-level client references and European delivery footprint. If your situation matches those criteria, Andersen Lab is a competitive option.
Related comparisons
Ciklum vs Andersen Lab FAQ
Is Ciklum better than Andersen Lab?
Ciklum (4.1/5) scores higher overall, but "better" depends on your use case. Ciklum is better for digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery. Andersen Lab is better for enterprises needing large-scale ML delivery with named Fortune-500-level client references and European delivery footprint.
How do Ciklum and Andersen Lab differ in pricing?
Ciklum uses dedicated team, t&m, fixed project pricing with a minimum engagement of $75K. Andersen Lab uses dedicated team, t&m, fixed project pricing with a minimum engagement of $50K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Ciklum or Andersen Lab?
Andersen Lab 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 Ciklum and Andersen Lab?
Ciklum's primary differentiator is: 25+ ai products in production combined with 3,000+ global engineers — enterprise ai scale without the big-four overhead. Andersen Lab's primary differentiator is: named client references including siemens, s&p global, and ryanair — enterprise ml track record at the highest scale. They also differ in team size (3,000+ vs 3,700+), minimum engagement ($75K vs $50K), and primary industries served (Financial Services, Retail & E-commerce vs Manufacturing & Industrial, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.