Quantiphi vs Belitsoft: full comparison for 2026
Last updated: July 2026
Quick verdict
Quantiphi (4.4/5) edges ahead of Belitsoft (3.9/5) overall. Quantiphi is the better choice for enterprises, especially in financial services, needing AI delivery at scale with strong cloud-native ML platform engineering.. Belitsoft is the stronger option for small-to-mid companies wanting AI/ML added to a broader custom software development engagement at accessible pricing.. The right choice depends on your project size, budget, and required tech stack.
Quantiphi vs Belitsoft: head-to-head summary
| Criterion | Quantiphi | Belitsoft |
|---|---|---|
| Founded | 2013 | 2004 |
| HQ | Marlborough, Massachusetts, USA | Warsaw, Poland |
| Team size | 1,001–5,000 | 201–500 |
| Rating | 4.4 / 5 | 3.9 / 5 |
| Best for | Enterprises, especially in financial services, needing AI delivery at scale with strong cloud-native ML platform engineering. | Small-to-mid companies wanting AI/ML added to a broader custom software development engagement at accessible pricing. |
| Pricing model | Fixed project and managed AI services | Fixed project and Time & Material |
| Min. engagement | Not published | $15K |
| Primary tech stack | Python, TensorFlow, Google Cloud Vertex AI | Python, Scikit-learn, AWS |
| Industries served | Financial Services, Healthcare, Media, Technology/SaaS | Healthcare, Financial Services, Technology/SaaS |
Quantiphi vs Belitsoft: overview
Quantiphi
Quantiphi is an AI-first digital engineering company founded in 2013 by Vivek Khemani, Asif Hasan, Ritesh Patel, and Reghu Hariharan, headquartered in Marlborough, Massachusetts. Reported headcount is roughly 2,670–3,927 employees depending on source, making it one of the larger, more established AI-native firms on this list, with strong focus on financial services and cloud-native ML platform engineering.
Belitsoft
Belitsoft is a software development company founded in 2004, headquartered in Warsaw, Poland, with development centers in Gomel and Brest, Belarus. Reported headcount ranges from roughly 250 to 400+ developers, testers, project managers, and DevOps specialists, and the firm has expanded its cloud and AI development proficiency to include generative AI, predictive analytics, and forecasting models alongside its core custom software development practice.
Services and capabilities: Quantiphi vs Belitsoft
| Capability | Quantiphi | Belitsoft |
|---|---|---|
| Custom ML model development | ✓ | ✓ |
| Deep learning & computer vision | ✗ | ✗ |
| NLP & LLM / Generative AI | ✗ | ✗ |
| MLOps & production deployment | ✓ | ✗ |
| Data engineering | ✓ | ✓ |
| AI strategy consulting | ✓ | ✗ |
| Staff augmentation | ✗ | ✗ |
Tech stack comparison: Quantiphi vs Belitsoft
| Framework / platform | Quantiphi | Belitsoft |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | ✓ | N/A |
| Kubernetes | ✓ | N/A |
| Databricks | N/A | N/A |
| LangChain | N/A | N/A |
Pricing comparison: Quantiphi vs Belitsoft
| Criterion | Quantiphi | Belitsoft |
|---|---|---|
| Minimum engagement | Not published | $15K |
| Engagement models | Fixed project, Managed services | Fixed project, Time & Material |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Enterprise / not published | Accessible |
Target audience comparison: Quantiphi vs Belitsoft
| Dimension | Quantiphi | Belitsoft |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial Services, Healthcare, Media | Healthcare, Financial Services, Technology/SaaS |
| Best use cases | Enterprise financial-services AI programs requiring both scale and deep ML expertise, Cloud-native ML platform builds on GCP, AWS, or Azure at production scale | Small-to-mid companies wanting a cost-effective partner for a forecasting or recommendation-engine build, Healthcare or finance clients needing predictive analytics added to an existing software product |
| Typical project type | Fixed project | Fixed project |
Quantiphi vs Belitsoft: pros and cons
| Quantiphi | |
|---|---|
| + | Founded as an AI-first company rather than a generalist IT firm that later added an AI practice |
| + | Enterprise-scale headcount (2,600+) supports large, multi-region programs |
| + | Strong cloud-native ML platform engineering, reducing gaps between model development and production deployment |
| + | 13 years of continuous focus on applied AI and analytics |
| - | Scale and enterprise sales process may be slower and less accessible for small pilot projects than boutique competitors |
| - | Recent employee counts show a reported year-over-year headcount decline (~4% per one source), worth asking about directly |
| - | Minimum engagement size and standard pricing are not publicly disclosed |
| Belitsoft | |
|---|---|
| + | 21 years of continuous custom software development history |
| + | Accessible minimum engagement size relative to enterprise-scale competitors on this list |
| + | Deep expertise cited in Big Data, Deep Learning, and Predictive Analytics beyond generic AI marketing language |
| + | Multi-country delivery (Poland, Belarus) supports competitive pricing for smaller buyers |
| - | AI/ML is a recently expanded practice area layered onto a longer-running general software development business |
| - | Reported headcount varies by source (250 vs. 400+), worth confirming current team size directly |
| - | Less brand recognition in AI/ML specifically compared to AI-first boutiques on this list |
Who should choose Quantiphi?
Quantiphi is the right choice for enterprises, especially in financial services, needing AI delivery at scale with strong cloud-native ML platform engineering..
AI-native firm that reached enterprise scale (2,600+ employees) without pivoting from generalist IT outsourcing.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Healthcare, Media, Technology/SaaS.
Who should choose Belitsoft?
Belitsoft is the right choice for small-to-mid companies wanting AI/ML added to a broader custom software development engagement at accessible pricing..
21 years as a custom software development firm now expanding deliberately into generative AI and predictive analytics.. Minimum engagement starts at $15K. Works best with clients in Healthcare, Financial Services, Technology/SaaS.
Decision matrix: Quantiphi vs Belitsoft
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Quantiphi |
| You need a large dedicated team for an ongoing programme | Check each company's engagement model |
| Your budget is at the lower end | Compare: Quantiphi (Not published) vs Belitsoft ($15K) |
| You need specialist depth in a specific vertical | Quantiphi |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Quantiphi |
Use case fit: Quantiphi vs Belitsoft
| Use case | Quantiphi fit | Belitsoft fit | Winner |
|---|---|---|---|
| Enterprise financial-services AI programs requiring both scale and deep ML expertise | Strong | Strong | Both equally |
| Cloud-native ML platform builds on GCP, AWS, or Azure at production scale | Strong | Limited | Quantiphi |
| Small-to-mid companies wanting a cost-effective partner for a forecasting or recommendation-engine build | Limited | Strong | Belitsoft |
| Healthcare or finance clients needing predictive analytics added to an existing software product | Limited | Strong | Belitsoft |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Quantiphi vs Belitsoft
Quantiphi (4.4/5) is the stronger overall choice for most Machine Learning Development projects. AI-native firm that reached enterprise scale (2,600+ employees) without pivoting from generalist IT outsourcing.. It is best for enterprises, especially in financial services, needing AI delivery at scale with strong cloud-native ML platform engineering..
Belitsoft (3.9/5) is the better choice when small-to-mid companies wanting AI/ML added to a broader custom software development engagement at accessible pricing.. If your situation matches those criteria, Belitsoft is a competitive option.
Related comparisons
Quantiphi vs Belitsoft FAQ
Is Quantiphi better than Belitsoft?
Quantiphi (4.4/5) scores higher overall, but "better" depends on your use case. Quantiphi is better for enterprises, especially in financial services, needing AI delivery at scale with strong cloud-native ML platform engineering.. Belitsoft is better for small-to-mid companies wanting AI/ML added to a broader custom software development engagement at accessible pricing..
How do Quantiphi and Belitsoft differ in pricing?
Quantiphi uses fixed project and managed ai services pricing with a minimum engagement of Not published. Belitsoft uses fixed project and time & material pricing with a minimum engagement of $15K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Quantiphi or Belitsoft?
Quantiphi 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 Quantiphi and Belitsoft?
Quantiphi's primary differentiator is: ai-native firm that reached enterprise scale (2,600+ employees) without pivoting from generalist it outsourcing.. Belitsoft's primary differentiator is: 21 years as a custom software development firm now expanding deliberately into generative ai and predictive analytics.. They also differ in team size (1,001–5,000 vs 201–500), minimum engagement (Not published vs $15K), and primary industries served (Financial Services, Healthcare vs Healthcare, Financial Services).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.