Probayes vs Siili Solutions: full comparison for 2026
Last updated: July 2026
Quick verdict
Probayes (4.1/5) edges ahead of Siili Solutions (3.7/5) overall. Probayes is the better choice for automotive, defense, and finance clients needing rigorous Bayesian and predictive-modeling expertise. Siili Solutions is the stronger option for nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner. The right choice depends on your project size, budget, and required tech stack.
Probayes vs Siili Solutions: head-to-head summary
| Criterion | Probayes | Siili Solutions |
|---|---|---|
| Founded | 2003 | 2005 |
| HQ | Montbonnot-Saint-Martin (Grenoble), France | Helsinki, Finland |
| Team size | 51–200 | 501–1000 |
| Rating | 4.1 / 5 | 3.7 / 5 |
| Best for | Automotive, defense, and finance clients needing rigorous Bayesian and predictive-modeling expertise | Nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner |
| Pricing model | Retainer, fixed project | Dedicated team, retainer, fixed project |
| Min. engagement | $25K | $30K |
| Primary tech stack | Python, R, Bayesian modeling frameworks | Python, Java, AWS |
| Industries served | Automotive, Defense, Financial Services, Healthcare | Enterprise, Telecommunications, Financial Services, Retail |
Probayes vs Siili Solutions: overview
Probayes
Probayes, based in Montbonnot-Saint-Martin near Grenoble, France, is a private AI and data science company founded in 2003. With around 86 employees, Probayes specializes in Bayesian modeling, predictive analysis, and optimization for the automotive, defense, finance, and health sectors, making it one of the longest continuously operating AI-focused firms in this list.
Siili Solutions
Siili Solutions Oyj, founded in 2005 and headquartered in Helsinki, Finland, is a publicly listed IT consultancy on Nasdaq Helsinki (ticker SIILI) with 500 to over 1,000 employees across 19 locations. Siili offers software development, digital transformation, and machine learning services, and expanded its AI and digital product capabilities in part through its 2020 acquisition of Budapest-based Supercharge, disclosed here as an ownership change affecting Siili's broader group structure.
Services and capabilities: Probayes vs Siili Solutions
| Capability | Probayes | Siili Solutions |
|---|---|---|
| ML model development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI / LLM integration | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: Probayes vs Siili Solutions
| Framework / platform | Probayes | Siili Solutions |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: Probayes vs Siili Solutions
| Criterion | Probayes | Siili Solutions |
|---|---|---|
| Minimum engagement | $25K | $30K |
| Engagement models | Retainer, Fixed project | Dedicated team, Retainer, Fixed project |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Probayes vs Siili Solutions
| Dimension | Probayes | Siili Solutions |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Automotive, Defense, Financial Services | Enterprise, Telecommunications, Financial Services |
| Best use cases | Predictive maintenance modeling for automotive systems, Bayesian risk modeling for finance or defense applications | Enterprise digital transformation with an ML component, Nordic-region software development and data engineering |
| Typical project type | Retainer | Dedicated team |
Probayes vs Siili Solutions: pros and cons
| Probayes | |
|---|---|
| + | Over two decades of operating history since founding in 2003, one of the longest-running AI specialists on this list |
| + | Deep, rigorous expertise in Bayesian modeling and predictive optimization rather than trend-driven AI positioning |
| + | Established presence in demanding regulated sectors like defense and automotive |
| + | Located in the Grenoble tech corridor, a recognized French deep-tech hub |
| - | Bayesian and predictive-analytics specialization is narrower than firms covering the full modern generative AI stack |
| - | Smaller regional presence in the Grenoble area versus Paris- or Amsterdam-based firms with broader visibility |
| Siili Solutions | |
|---|---|
| + | Publicly listed on Nasdaq Helsinki, providing financial transparency and stability signals |
| + | Two decades of operating history since founding in 2005, with a large, established Nordic footprint |
| + | 19 office locations support broad European coverage and delivery flexibility |
| + | Expanded AI and digital product capability via its 2020 acquisition of Supercharge in Budapest |
| - | AI and ML is one practice within a much broader generalist IT consultancy portfolio |
| - | 2020 acquisition of Supercharge represents a group ownership change worth understanding before engaging that subsidiary specifically |
| - | Larger public-company structure may mean less flexibility than privately held boutiques |
Who should choose Probayes?
Probayes is the right choice for automotive, defense, and finance clients needing rigorous Bayesian and predictive-modeling expertise.
Over two decades of specialization in Bayesian AI and predictive analytics, predating the current ML and AI boom. Minimum engagement starts at $25K. Works best with clients in Automotive, Defense, Financial Services, Healthcare.
Who should choose Siili Solutions?
Siili Solutions is the right choice for nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner.
Publicly traded on Nasdaq Helsinki, offering financial transparency uncommon among privately held ML firms. Minimum engagement starts at $30K. Works best with clients in Enterprise, Telecommunications, Financial Services, Retail.
Decision matrix: Probayes vs Siili Solutions
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Probayes |
| You need a large dedicated team for an ongoing programme | Siili Solutions |
| Your budget is at the lower end | Probayes |
| You need specialist depth in a specific vertical | Probayes |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Probayes |
Use case fit: Probayes vs Siili Solutions
| Use case | Probayes fit | Siili Solutions fit | Winner |
|---|---|---|---|
| Predictive maintenance modeling for automotive systems | Strong | Limited | Probayes |
| Bayesian risk modeling for finance or defense applications | Strong | Limited | Probayes |
| Enterprise digital transformation with an ML component | Limited | Strong | Siili Solutions |
| Nordic-region software development and data engineering | Limited | Strong | Siili Solutions |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Probayes vs Siili Solutions
Probayes (4.1/5) is the stronger overall choice for most Machine Learning Development projects. Over two decades of specialization in Bayesian AI and predictive analytics, predating the current ML and AI boom. It is best for automotive, defense, and finance clients needing rigorous Bayesian and predictive-modeling expertise.
Siili Solutions (3.7/5) is the better choice when nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner. If your situation matches those criteria, Siili Solutions is a competitive option.
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Probayes vs Siili Solutions FAQ
Is Probayes better than Siili Solutions?
Probayes (4.1/5) scores higher overall, but "better" depends on your use case. Probayes is better for automotive, defense, and finance clients needing rigorous Bayesian and predictive-modeling expertise. Siili Solutions is better for nordic and European enterprises wanting a publicly listed, financially transparent IT consultancy partner.
How do Probayes and Siili Solutions differ in pricing?
Probayes uses retainer, fixed project pricing with a minimum engagement of $25K. Siili Solutions uses dedicated team, retainer, fixed project pricing with a minimum engagement of $30K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Probayes or Siili Solutions?
Siili Solutions 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 Probayes and Siili Solutions?
Probayes's primary differentiator is: over two decades of specialization in bayesian ai and predictive analytics, predating the current ml and ai boom. Siili Solutions's primary differentiator is: publicly traded on nasdaq helsinki, offering financial transparency uncommon among privately held ml firms. They also differ in team size (51–200 vs 501–1000), minimum engagement ($25K vs $30K), and primary industries served (Automotive, Defense vs Enterprise, Telecommunications).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.