DataArt vs Ciklum: full comparison for 2026
Last updated: July 2026
Quick verdict
DataArt (3.6/5) edges ahead of Ciklum (3.6/5) overall. DataArt is the better choice for mid-market and enterprise companies in finance, healthcare, or media needing a large engineering firm with ML integrated into product delivery. Ciklum is the stronger option for global enterprises seeking AI features embedded in large-scale digital product programmes with Experience Engineering focus. The right choice depends on your project size, budget, and required tech stack.
DataArt vs Ciklum: head-to-head summary
| Criterion | DataArt | Ciklum |
|---|---|---|
| Founded | 1997 | 2002 |
| HQ | New York, NY, USA | London, UK |
| Team size | 6,000+ | 4,000+ |
| Rating | 3.6 / 5 | 3.6 / 5 |
| Best for | Mid-market and enterprise companies in finance, healthcare, or media needing a large engineering firm with ML integrated into product delivery | Global enterprises seeking AI features embedded in large-scale digital product programmes with Experience Engineering focus |
| Pricing model | T&M, dedicated team | Dedicated team, T&M |
| Min. engagement | $50K | $100K |
| Primary tech stack | Python, Scikit-learn, TensorFlow | Python, LangChain, OpenAI API |
| Industries served | Fintech, Healthcare, SaaS, Logistics, E-commerce | Fintech, Healthcare, E-commerce, SaaS, Logistics |
DataArt vs Ciklum: overview
DataArt
DataArt is a global engineering firm founded in 1997 and headquartered in New York, New York, with 6,000+ specialists across 20+ countries. The firm's AI and ML services deliver solutions in predictive analytics, natural language processing, data mining, and computer vision, integrated within product engineering and digital transformation delivery. DataArt serves financial services, healthcare, media, travel, and technology clients. The firm operates with a flat structure emphasising direct engineer-to-client interaction over multi-layer account management.
Ciklum
Ciklum is a global Experience Engineering firm headquartered in London, UK, founded in 2002, with 4,000+ employees serving 250+ global enterprise clients. The company acquired GoSolve Group in 2025, adding cloud-native development and high-performance computing capability. Ciklum's AI services include generative AI development, ML integration into digital products, and AI-powered SDLC acceleration. The firm delivers next-generation product engineering and AI-powered customer experiences for large enterprises and digital disruptors.
Services and capabilities: DataArt vs Ciklum
| Capability | DataArt | Ciklum |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✓ | ✗ |
| NLP & text analytics | ✓ | ✓ |
| MLOps & deployment | ✗ | ✓ |
| Generative AI | ✗ | ✓ |
| ML consulting & strategy | ✗ | ✗ |
| Staff augmentation | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: DataArt vs Ciklum
| Framework / platform | DataArt | Ciklum |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| Scikit-learn | ✓ | N/A |
| AWS SageMaker | N/A | N/A |
| MLflow | N/A | ✓ |
| Hugging Face | N/A | N/A |
| LangChain | N/A | ✓ |
| Docker/Kubernetes | N/A | N/A |
| Databricks | N/A | ✓ |
Pricing comparison: DataArt vs Ciklum
| Criterion | DataArt | Ciklum |
|---|---|---|
| Minimum engagement | $50K | $100K |
| Engagement models | Time & materials, Dedicated team | Dedicated team, Time & materials, Consulting retainer |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: DataArt vs Ciklum
| Dimension | DataArt | Ciklum |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, SaaS | Fintech, Healthcare, E-commerce |
| Best use cases | NLP-powered document analysis for financial services compliance and reporting, Predictive analytics for healthcare patient risk stratification and monitoring | Generative AI features integrated into large enterprise digital products, ML-powered personalisation for consumer-facing applications at scale |
| Typical project type | Time & materials | Dedicated team |
DataArt vs Ciklum: pros and cons
| DataArt | |
|---|---|
| + | 29-year engineering track record across financial services, healthcare, and media |
| + | 6,000+ specialists provide large programme delivery capacity across 20+ countries |
| + | Flat organisational structure provides direct senior ML engineer access on projects |
| + | Multi-country delivery network for global client timezone and language coverage |
| + | Strong NLP and predictive analytics capability within product engineering context |
| - | ML sits within a broad engineering firm — not a specialist ML company |
| - | T&M and dedicated team models less suited to clients seeking fixed-price delivery |
| - | Less emphasis on cutting-edge generative AI research than newer AI-first firms |
| Ciklum | |
|---|---|
| + | 4,000+ employees serving 250+ enterprises demonstrates delivery scale and breadth |
| + | Generative AI services alongside traditional ML within product engineering |
| + | GoSolve acquisition (2025) adds cloud-native and high-performance computing depth |
| + | London HQ provides EU and UK enterprise relationship management |
| + | Experience Engineering focus connects ML outcomes to user-facing product features |
| - | $100K minimum engagement limits access for smaller and mid-market companies |
| - | AI is part of a broader service offering — not an ML-first or AI-specialist firm |
| - | Less publicly documented in pure ML model research than boutique ML competitors |
Who should choose DataArt?
DataArt is the right choice for mid-market and enterprise companies in finance, healthcare, or media needing a large engineering firm with ML integrated into product delivery.
29-year global engineering firm with 6,000+ specialists and a flat structure providing direct access to senior ML engineers on client projects. Minimum engagement starts at $50K. Works best with clients in Fintech, Healthcare, SaaS, Logistics, E-commerce.
Who should choose Ciklum?
Ciklum is the right choice for global enterprises seeking AI features embedded in large-scale digital product programmes with Experience Engineering focus.
4,000-person Experience Engineering firm with 250+ enterprise clients and generative AI delivery integrated into large product programmes. Minimum engagement starts at $100K. Works best with clients in Fintech, Healthcare, E-commerce, SaaS, Logistics.
Decision matrix: DataArt vs Ciklum
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | DataArt |
| Your budget is at the lower end | DataArt |
| You need specialist depth in a specific vertical | DataArt |
| 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: DataArt vs Ciklum
| Use case | DataArt fit | Ciklum fit | Winner |
|---|---|---|---|
| NLP-powered document analysis for financial services compliance and reporting | Strong | Limited | DataArt |
| Predictive analytics for healthcare patient risk stratification and monitoring | Strong | Limited | DataArt |
| Generative AI features integrated into large enterprise digital products | Limited | Strong | Ciklum |
| ML-powered personalisation for consumer-facing applications at scale | Limited | Strong | Ciklum |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: DataArt vs Ciklum
DataArt (3.6/5) is the stronger overall choice for most Machine Learning Development projects. 29-year global engineering firm with 6,000+ specialists and a flat structure providing direct access to senior ML engineers on client projects. It is best for mid-market and enterprise companies in finance, healthcare, or media needing a large engineering firm with ML integrated into product delivery.
Ciklum (3.6/5) is the better choice when global enterprises seeking AI features embedded in large-scale digital product programmes with Experience Engineering focus. If your situation matches those criteria, Ciklum is a competitive option.
Related comparisons
DataArt vs Ciklum FAQ
Is DataArt better than Ciklum?
DataArt (3.6/5) scores higher overall, but "better" depends on your use case. DataArt is better for mid-market and enterprise companies in finance, healthcare, or media needing a large engineering firm with ML integrated into product delivery. Ciklum is better for global enterprises seeking AI features embedded in large-scale digital product programmes with Experience Engineering focus.
How do DataArt and Ciklum differ in pricing?
DataArt uses t&m, dedicated team pricing with a minimum engagement of $50K. Ciklum uses dedicated team, t&m pricing with a minimum engagement of $100K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: DataArt or Ciklum?
DataArt 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 DataArt and Ciklum?
DataArt's primary differentiator is: 29-year global engineering firm with 6,000+ specialists and a flat structure providing direct access to senior ml engineers on client projects. Ciklum's primary differentiator is: 4,000-person experience engineering firm with 250+ enterprise clients and generative ai delivery integrated into large product programmes. They also differ in team size (6,000+ vs 4,000+), minimum engagement ($50K vs $100K), and primary industries served (Fintech, Healthcare vs Fintech, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.