Best AI Development Services

AtliQ Technologies vs Intellectsoft: full comparison for 2026

Quick verdict

AtliQ Technologies (3.9/5) edges ahead of Intellectsoft (3.9/5) overall. AtliQ Technologies is the better choice for budget-conscious teams wanting AI added to a product build. Intellectsoft is the stronger option for enterprises wanting AI alongside blockchain or IoT work. The right choice depends on your project size, budget, and required tech stack.

AtliQ Technologies vs Intellectsoft: head-to-head summary

Criterion AtliQ Technologies Intellectsoft
Founded 2017 2007
HQ Vadodara, India New York, United States
Team size 50-220 150-300
Rating 3.9 / 5 3.9 / 5
Primary differentiator US and India presence at startup-friendly pricing for a firm founded in 2017 Combines AI with blockchain and IoT engineering under one roof
Pricing model Fixed project or dedicated team Fixed project or dedicated team
Min. engagement Not disclosed Not disclosed
Primary tech stack Python, scikit-learn, AWS Python, AWS, Ethereum
Industries served Retail & e-commerce, SaaS, Fintech Healthcare, Financial services, Manufacturing, Retail & e-commerce

AtliQ Technologies vs Intellectsoft: overview

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.

Intellectsoft

Intellectsoft was founded in 2007 by Alexey Kharchykov and Dmitriy Kulikov in Kyiv, and public sources list headquarters variously in New York and Palo Alto today. Employee estimates range from about 51-200 on LinkedIn to 200-300 on other trackers, with the company describing 150-plus engineers across 10 offices. Its practice spans custom software development, AI, blockchain, and cloud computing for enterprise, SMB, and startup clients, giving it broad but not deeply specialized AI coverage.

Services and capabilities: AtliQ Technologies vs Intellectsoft

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

Tech stack comparison: AtliQ Technologies vs Intellectsoft

Framework / platform AtliQ Technologies Intellectsoft
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: AtliQ Technologies vs Intellectsoft

Criterion AtliQ Technologies Intellectsoft
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: AtliQ Technologies vs Intellectsoft

Dimension AtliQ Technologies Intellectsoft
Best company size Startup to mid-market Startup to mid-market
Best industries Retail & e-commerce, SaaS, Fintech Healthcare, Financial services, Manufacturing
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. Building an AI feature that also needs blockchain-based data verification., Running a mixed IoT and AI project under a single engineering team.
Typical project type Fixed project Fixed project

AtliQ Technologies vs Intellectsoft: 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 firms on this list
Intellectsoft
+ Broad technology coverage means AI can be paired with blockchain or IoT work without a second vendor.
+ Nearly two decades of custom software delivery experience.
+ 150-plus engineers across 10 global offices support flexible staffing.
+ Enterprise, SMB, and startup client mix shows adaptability across budget levels.
- Headquarters location and employee count are reported inconsistently across sources
- AI is one of several core specialties rather than the firm's defining focus

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 Intellectsoft?

A typical fit: building an AI feature that also needs blockchain-based data verification.

Combines AI with blockchain and IoT engineering under one roof. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Financial services, Manufacturing, Retail & e-commerce.

Decision matrix: AtliQ Technologies vs Intellectsoft

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 Intellectsoft (Not disclosed)
You need specialist depth in a specific vertical Intellectsoft
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: AtliQ Technologies vs Intellectsoft

Use case AtliQ Technologies fit Intellectsoft fit Winner
Adding basic AI-driven analytics to a product already in development. Strong Limited AtliQ Technologies
Getting a budget-friendly product build where AI is a smaller part of the overall scope. Strong Strong Both equally
Building an AI feature that also needs blockchain-based data verification. Limited Strong Intellectsoft
Running a mixed IoT and AI project under a single engineering team. Limited Strong Intellectsoft
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: AtliQ Technologies vs Intellectsoft

AtliQ Technologies (3.9/5) is the stronger overall choice for most AI Development projects. US and India presence at startup-friendly pricing for a firm founded in 2017.

Intellectsoft (3.9/5) is worth a look if you need running a mixed IoT and AI project under a single engineering team. If your situation matches that, Intellectsoft is a competitive option.

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AtliQ Technologies vs Intellectsoft FAQ

Is AtliQ Technologies better than Intellectsoft?

AtliQ Technologies (3.9/5) 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. Intellectsoft's strongest advantage: broad technology coverage means AI can be paired with blockchain or IoT work without a second vendor.

How do AtliQ Technologies and Intellectsoft differ in pricing?

AtliQ Technologies uses fixed project or dedicated team pricing. Intellectsoft 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: AtliQ Technologies or Intellectsoft?

Intellectsoft 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 AtliQ Technologies and Intellectsoft?

AtliQ Technologies's primary differentiator is: US and India presence at startup-friendly pricing for a firm founded in 2017. Intellectsoft's primary differentiator is: combines AI with blockchain and IoT engineering under one roof. They also differ in team size (50-220 vs 150-300), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Retail & e-commerce, SaaS vs Healthcare, Financial services).

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