Best AI Development Services

Cleveroad vs AtliQ Technologies: full comparison for 2026

Quick verdict

Cleveroad (4.0/5) edges ahead of AtliQ Technologies (3.9/5) overall. Cleveroad is the better choice for startups needing AI features inside a mobile or web product. 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.

Cleveroad vs AtliQ Technologies: head-to-head summary

Criterion Cleveroad AtliQ Technologies
Founded 2011 2017
HQ Krakow, Poland Vadodara, India
Team size 113-200 50-220
Rating 4.0 / 5 3.9 / 5
Primary differentiator Production-deployment discipline carried over from a decade of mobile and web delivery US and India presence at startup-friendly pricing for a firm founded in 2017
Pricing model Fixed project or dedicated team Fixed project or dedicated team
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, React Native, AWS Python, scikit-learn, AWS
Industries served Retail & e-commerce, Healthcare, Logistics Retail & e-commerce, SaaS, Fintech

Cleveroad vs AtliQ Technologies: overview

Cleveroad

Cleveroad was founded in 2011, and public sources disagree on headquarters, with LinkedIn listing Claymont, Delaware and other trackers pointing to Krakow, Poland as the operational base. Employee estimates likewise vary, from roughly 113 up to a LinkedIn-reported 201-500 range. The company's roots are in mobile and web development for startups and enterprise clients, with safe, production-grade AI deployment positioned as a newer strength built on top of that existing delivery discipline.

AtliQ Technologies

AtliQ Technologies was founded in 2017 by Bhavin Patel and Dhaval Patel, and is 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, which is worth confirming directly given how young the company is relative to others on this list. The firm's core work is software product and application development, with AI-driven data analysis added as a newer service rather than a founding specialty.

Services and capabilities: Cleveroad vs AtliQ Technologies

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

Tech stack comparison: Cleveroad vs AtliQ Technologies

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

Pricing comparison: Cleveroad vs AtliQ Technologies

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

Target audience comparison: Cleveroad vs AtliQ Technologies

Dimension Cleveroad AtliQ Technologies
Best company size Startup to mid-market Startup to mid-market
Best industries Retail & e-commerce, Healthcare, Logistics Retail & e-commerce, SaaS, Fintech
Best use cases Adding AI features to a mobile app already in production., Getting a startup MVP built with AI as one feature among several, not the entire product. 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.
Typical project type Fixed project Fixed project

Cleveroad vs AtliQ Technologies: pros and cons

Cleveroad
+ Mobile and web development roots translate into disciplined production deployment practices.
+ Over a decade of delivery history across startup and enterprise clients.
+ Operates across four continents, giving flexible timezone coverage.
+ AI positioned as an addition to, not a replacement for, established product delivery skills.
- Headquarters and employee count are reported inconsistently across public sources
- AI-specific case studies are less prominent than the firm's mobile and web development portfolio
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 firms on this list

Who should choose Cleveroad?

A typical fit: adding AI features to a mobile app already in production.

Production-deployment discipline carried over from a decade of mobile and web delivery. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Healthcare, Logistics.

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.

Decision matrix: Cleveroad vs AtliQ Technologies

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Cleveroad
You need a large dedicated team for an ongoing programme Cleveroad
Your budget is at the lower end Compare: Cleveroad (Not disclosed) vs AtliQ Technologies (Not disclosed)
You need specialist depth in a specific vertical Cleveroad
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: Cleveroad vs AtliQ Technologies

Use case Cleveroad fit AtliQ Technologies fit Winner
Adding AI features to a mobile app already in production. Strong Strong Both equally
Getting a startup MVP built with AI as one feature among several, not the entire product. Strong Strong Both equally
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 Strong Both equally
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: Cleveroad vs AtliQ Technologies

Cleveroad (4.0/5) is the stronger overall choice for most AI Development projects. Production-deployment discipline carried over from a decade of mobile and web delivery.

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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Cleveroad vs AtliQ Technologies FAQ

Is Cleveroad better than AtliQ Technologies?

Cleveroad (4.0/5) scores higher overall, but "better" depends on your use case. Cleveroad's strongest advantage: mobile and web development roots translate into disciplined production deployment practices. AtliQ Technologies's strongest advantage: combined India and New Jersey presence gives clients a US point of contact at India-based delivery cost.

How do Cleveroad and AtliQ Technologies differ in pricing?

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

Which is better for enterprise: Cleveroad or AtliQ Technologies?

Cleveroad 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 Cleveroad and AtliQ Technologies?

Cleveroad's primary differentiator is: production-deployment discipline carried over from a decade of mobile and web delivery. AtliQ Technologies's primary differentiator is: US and India presence at startup-friendly pricing for a firm founded in 2017. They also differ in team size (113-200 vs 50-220), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Retail & e-commerce, Healthcare vs Retail & e-commerce, SaaS).

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