Top AI Development Agencies

AtliQ Technologies vs Belitsoft: full comparison for 2026

Quick verdict

Belitsoft (4.0/5) edges ahead of AtliQ Technologies (3.9/5) overall. Belitsoft is the better choice for teams wanting AI from an established staff augmentation partner. AtliQ Technologies is the stronger option for budget-conscious teams wanting AI added to a product build. The right choice depends on your project size, budget, and required tech stack.

AtliQ Technologies vs Belitsoft: head-to-head summary

Criterion AtliQ Technologies Belitsoft
Founded 2017 2004
HQ Vadodara, India Warsaw, Poland
Team size 50-220 250-400
Rating 3.9 / 5 4.0 / 5
Primary differentiator US and India presence at startup-friendly pricing for a firm founded in 2017 Twenty years of outsourcing delivery with AI added as a distinctly recent practice
Pricing model Fixed project or dedicated team Dedicated team or staff augmentation
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, scikit-learn, AWS Python, AWS, .NET
Industries served Retail & e-commerce, SaaS, Fintech Healthcare, Fintech, E-learning

AtliQ Technologies vs Belitsoft: overview

AtliQ Technologies

AtliQ Technologies was founded in 2017 by Bhavin Patel and Dhaval Patel, based in Vadodara, Gujarat with an additional office in New Jersey. Public employee counts vary sharply, from roughly 42 to over 220 depending on the source and reporting date, worth confirming directly given how young the company is relative to others on this list. Its core work is software product and application development, with AI-driven data analysis added as a newer service rather than a founding specialty.

Belitsoft

Belitsoft was founded in 2004 and is headquartered in Warsaw, Poland, with over 250 core employees and more than 400 developers, testers, project managers, and DevOps staff distributed across Poland, Latvia, and Georgia. The company expanded into cloud and AI development in 2024, layering AI software solutions on top of an already-established web and mobile development and team augmentation business. That makes AI a genuinely recent addition rather than a rebrand of older services.

Services and capabilities: AtliQ Technologies vs Belitsoft

Capability AtliQ Technologies Belitsoft
Generative AI
Machine learning
AI agents
MLOps
AI consulting
Fixed-price projects
Dedicated team model

Tech stack comparison: AtliQ Technologies vs Belitsoft

Framework / platform AtliQ Technologies Belitsoft
Python
PyTorch N/A N/A
TensorFlow N/A N/A
LangChain N/A N/A
AWS
Azure N/A N/A
Kubernetes N/A N/A

Pricing comparison: AtliQ Technologies vs Belitsoft

Criterion AtliQ Technologies Belitsoft
Minimum engagement Not disclosed Not disclosed
Engagement models Fixed project, Dedicated team Dedicated team, Staff augmentation
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: AtliQ Technologies vs Belitsoft

Dimension AtliQ Technologies Belitsoft
Best company size Startup to mid-market Startup to mid-market
Best industries Retail & e-commerce, SaaS, Fintech Healthcare, Fintech, E-learning
Best use cases Adding basic AI-driven analytics to a product already in development., Getting a budget-friendly product build where AI is a smaller part of the overall scope. Augmenting an internal team with AI engineers on a staff-aug basis., Working with an established outsourcing partner that's newly investing in AI capability.
Typical project type Fixed project Dedicated team

AtliQ Technologies vs Belitsoft: pros and cons

AtliQ Technologies
+ Combined India and New Jersey presence gives clients a US point of contact at India-based delivery cost.
+ Founder-led team stays close to project delivery at this size.
+ AI added on top of an existing product development practice, not offered in isolation.
+ Younger firm tends to price more competitively than established mid-market vendors.
- Public employee figures vary by nearly 5x, making true team capacity hard to confirm
- Shorter operating history than most other agencies on this list
Belitsoft
+ Two decades of outsourcing and staff augmentation experience across Poland, Latvia, and Georgia.
+ Transparent about AI being a 2024 addition rather than overstating a longer AI history.
+ Over 400 combined technical staff supports flexible team augmentation.
+ Established e-learning industry presence gives it relevant vertical experience.
- AI practice is genuinely new as of 2024, with a shorter track record than most on this list
- AI sits alongside a broader outsourcing business rather than as the firm's core identity

Who should choose AtliQ Technologies?

A typical fit: adding basic AI-driven analytics to a product already in development.

US and India presence at startup-friendly pricing for a firm founded in 2017. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, SaaS, Fintech.

Who should choose Belitsoft?

A typical fit: augmenting an internal team with AI engineers on a staff-aug basis.

Twenty years of outsourcing delivery with AI added as a distinctly recent practice. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Fintech, E-learning.

Decision matrix: AtliQ Technologies vs Belitsoft

Your situation Recommended choice
You need full-ownership delivery on a defined project scope AtliQ Technologies
You need a large dedicated team for an ongoing programme AtliQ Technologies
Your budget is at the lower end Compare: AtliQ Technologies (Not disclosed) vs Belitsoft (Not disclosed)
You need specialist depth in a specific vertical AtliQ Technologies
You need staff augmentation or team extension Neither; consider alternatives that offer staff aug
You need consulting before committing to a build Belitsoft

Use case fit: AtliQ Technologies vs Belitsoft

Use case AtliQ Technologies fit Belitsoft fit Winner
Adding basic AI-driven analytics to a product already in development. Strong Strong Both equally
Getting a budget-friendly product build where AI is a smaller part of the overall scope. Strong Limited AtliQ Technologies
Augmenting an internal team with AI engineers on a staff-aug basis. Limited Strong Belitsoft
Working with an established outsourcing partner that's newly investing in AI capability. Strong Strong Both equally
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Strong Belitsoft

Verdict: AtliQ Technologies vs Belitsoft

Belitsoft (4.0/5) is the stronger overall choice for most AI Development projects. Twenty years of outsourcing delivery with AI added as a distinctly recent practice.

AtliQ Technologies (3.9/5) is worth a look if you need getting a budget-friendly product build where AI is a smaller part of the overall scope. If your situation matches that, AtliQ Technologies is a competitive option.

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AtliQ Technologies vs Belitsoft FAQ

Is AtliQ Technologies better than Belitsoft?

Belitsoft (4.0/5) scores higher overall, but "better" depends on your use case. AtliQ Technologies's strongest advantage: combined India and New Jersey presence gives clients a US point of contact at India-based delivery cost. Belitsoft's strongest advantage: two decades of outsourcing and staff augmentation experience across Poland, Latvia, and Georgia.

How do AtliQ Technologies and Belitsoft differ in pricing?

AtliQ Technologies uses fixed project or dedicated team pricing. Belitsoft uses dedicated team or staff augmentation pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: AtliQ Technologies or Belitsoft?

Belitsoft 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 AtliQ Technologies and Belitsoft?

AtliQ Technologies's primary differentiator is: US and India presence at startup-friendly pricing for a firm founded in 2017. Belitsoft's primary differentiator is: twenty years of outsourcing delivery with AI added as a distinctly recent practice. They also differ in team size (50-220 vs 250-400), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Retail & e-commerce, SaaS vs Healthcare, Fintech).

Verify all details directly with each agency before making a decision.