Best ML Development Services

SoluLab vs Belitsoft: full comparison for 2026

Last updated: July 2026

Quick verdict

SoluLab (4.1/5) edges ahead of Belitsoft (3.8/5) overall. SoluLab is the better choice for companies that want AI development from a vendor also fluent in blockchain/Web3 integration.. Belitsoft is the stronger option for companies that need AI models integrated into an existing SaaS product by a firm with two decades of SaaS engineering depth.. The right choice depends on your project size, budget, and required tech stack.

SoluLab vs Belitsoft: head-to-head summary

Criterion SoluLab Belitsoft
Founded 2014 2004
HQ Woodland Hills, California, United States Warsaw, Poland
Team size 246–250 400+
Rating 4.1 / 5 3.8 / 5
Best for Companies that want AI development from a vendor also fluent in blockchain/Web3 integration. Companies that need AI models integrated into an existing SaaS product by a firm with two decades of SaaS engineering depth.
Pricing model Project-based, dedicated team Time & materials, dedicated team
Min. engagement Not published Not published
Primary tech stack OpenAI API, LangChain, Python Python, .NET, AWS
Industries served Media & Entertainment, Automotive, Education, FinTech Healthcare, FinTech, SaaS (cross-industry)

SoluLab vs Belitsoft: overview

SoluLab

SoluLab was founded in 2014–2015 by Chintan Thakkar and Rajat Lala and is headquartered in Woodland Hills, California, with a team of roughly 246–250 engineers, data scientists, and AI specialists. The firm positions itself as an 'AI-native, Blockchain, and Web3' development company and reports having delivered 1,500+ projects across 15+ countries for clients including The Walt Disney Company, Mercedes-Benz, and the University of Cambridge (per company website; independently unverifiable at this scale). Its dual focus on AI and blockchain/Web3 makes it broader than a pure ML specialist.

Belitsoft

Belitsoft has operated since 2004 and is headquartered in Warsaw, Poland, with more than 400 software developers, testers, project managers, and DevOps staff distributed between Poland, Latvia, and Georgia. The firm's AI/ML specialists design, train, and fine-tune models, while its software engineers integrate those models into client products; for enterprise and Fortune 500 clients, Belitsoft supplies larger teams including data engineers and MLOps engineers for deployment and monitoring. Its core strength — 20+ years of SaaS development experience — makes it a strong integration partner, though its AI-specific brand recognition is thinner than firms that were AI-native from founding.

Services and capabilities: SoluLab vs Belitsoft

Capability SoluLab Belitsoft
Custom ML Models
Computer Vision
NLP
MLOps
Generative AI
AI Consulting

Tech stack comparison: SoluLab vs Belitsoft

Framework / platform SoluLab Belitsoft
TensorFlow N/A N/A
PyTorch N/A N/A
AWS
Azure N/A
Google Cloud N/A N/A
LangChain N/A
Hugging Face N/A N/A
Kubernetes N/A N/A

Pricing comparison: SoluLab vs Belitsoft

Criterion SoluLab Belitsoft
Minimum engagement Not published Not published
Engagement models Project-based, Dedicated team Dedicated team, Time & materials, Staff augmentation
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: SoluLab vs Belitsoft

Dimension SoluLab Belitsoft
Best company size Startup to mid-market Startup to mid-market
Best industries Media & Entertainment, Automotive, Education Healthcare, FinTech, SaaS (cross-industry)
Best use cases Company building an AI product with a blockchain or Web3 component needs a single integrated vendor., Enterprise wants a vendor with named brand-name reference clients for procurement comfort. B2B SaaS company needs an AI model integrated into an existing product by a firm with deep SaaS engineering history., Enterprise or Fortune 500 client needs a scalable team including dedicated MLOps and data engineering roles.
Typical project type Project-based Dedicated team

SoluLab vs Belitsoft: pros and cons

SoluLab
+ Named enterprise clients (The Walt Disney Company, Mercedes-Benz, University of Cambridge) offer verifiable reference points, though the specific scope of each engagement is unconfirmed.
+ 246–250 team size supports mid-to-large engagements without enterprise-firm overhead.
+ Combined AI and blockchain/Web3 capability is useful for clients building tokenized or decentralized AI products.
+ 10 years of company history (since 2014–2015) under continuous founder leadership.
- 1,500+ projects claim across 15+ countries is difficult to independently verify at face value.
- Blockchain/Web3 focus alongside AI means clients purely interested in ML may be paying for adjacent expertise they don't need.
Belitsoft
+ 20 years of continuous SaaS development history (since 2004) gives it strong AI-into-product integration experience.
+ Previously featured in Clutch's annual Top 30 enterprise software development firms list.
+ Can scale team composition for enterprise/Fortune 500 clients, adding dedicated data engineers and MLOps engineers as needed.
+ 400+ distributed staff across Poland, Latvia, and Georgia provides meaningful delivery capacity.
- Company's core brand identity is SaaS/software development rather than AI specifically — AI/ML is an applied capability layered onto that base.
- Less publicly documented AI-specific case-study detail than firms whose primary marketing focus is AI/ML.

Who should choose SoluLab?

SoluLab is the right choice for companies that want AI development from a vendor also fluent in blockchain/Web3 integration..

Combines AI-native development with blockchain/Web3 expertise under one delivery team.. Minimum engagement starts at Not published. Works best with clients in Media & Entertainment, Automotive, Education, FinTech.

Who should choose Belitsoft?

Belitsoft is the right choice for companies that need AI models integrated into an existing SaaS product by a firm with two decades of SaaS engineering depth..

20+ years of dedicated SaaS product development experience, applied specifically to AI model integration for B2B SaaS.. Minimum engagement starts at Not published. Works best with clients in Healthcare, FinTech, SaaS (cross-industry).

Decision matrix: SoluLab vs Belitsoft

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 SoluLab
Your budget is at the lower end Compare: SoluLab (Not published) vs Belitsoft (Not published)
You need specialist depth in a specific vertical SoluLab
You need production MLOps support after model launch Belitsoft
You need consulting before committing to a build Belitsoft

Use case fit: SoluLab vs Belitsoft

Use case SoluLab fit Belitsoft fit Winner
Company building an AI product with a blockchain or Web3 component needs a single integrated vendor. Strong Strong Both equally
Enterprise wants a vendor with named brand-name reference clients for procurement comfort. Strong Strong Both equally
B2B SaaS company needs an AI model integrated into an existing product by a firm with deep SaaS engineering history. Limited Strong Belitsoft
Enterprise or Fortune 500 client needs a scalable team including dedicated MLOps and data engineering roles. Strong Strong Both equally
Fixed-scope ML build Limited Limited Both equally
Ongoing model retraining Limited Limited Both equally

Verdict: SoluLab vs Belitsoft

SoluLab (4.1/5) is the stronger overall choice for most Machine Learning Development projects. Combines AI-native development with blockchain/Web3 expertise under one delivery team.. It is best for companies that want AI development from a vendor also fluent in blockchain/Web3 integration..

Belitsoft (3.8/5) is the better choice when companies that need AI models integrated into an existing SaaS product by a firm with two decades of SaaS engineering depth.. If your situation matches those criteria, Belitsoft is a competitive option.

Related comparisons

SoluLab vs Belitsoft FAQ

Is SoluLab better than Belitsoft?

SoluLab (4.1/5) scores higher overall, but "better" depends on your use case. SoluLab is better for companies that want AI development from a vendor also fluent in blockchain/Web3 integration.. Belitsoft is better for companies that need AI models integrated into an existing SaaS product by a firm with two decades of SaaS engineering depth..

How do SoluLab and Belitsoft differ in pricing?

SoluLab uses project-based, dedicated team pricing with a minimum engagement of Not published. Belitsoft uses time & materials, dedicated team pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: SoluLab or Belitsoft?

SoluLab 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 SoluLab and Belitsoft?

SoluLab's primary differentiator is: combines ai-native development with blockchain/web3 expertise under one delivery team.. Belitsoft's primary differentiator is: 20+ years of dedicated saas product development experience, applied specifically to ai model integration for b2b saas.. They also differ in team size (246–250 vs 400+), minimum engagement (Not published vs Not published), and primary industries served (Media & Entertainment, Automotive vs Healthcare, FinTech).

Last reviewed: July 2026. Verify all details directly with each company before making a decision.