Top AI Development Agencies

Intellectsoft vs AtliQ Technologies: full comparison for 2026

Quick verdict

Intellectsoft (3.9/5) edges ahead of AtliQ Technologies (3.9/5) overall. Intellectsoft is the better choice for enterprises wanting AI alongside blockchain or IoT work. 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.

Intellectsoft vs AtliQ Technologies: head-to-head summary

Criterion Intellectsoft AtliQ Technologies
Founded 2007 2017
HQ New York, United States Vadodara, India
Team size 150-300 50-220
Rating 3.9 / 5 3.9 / 5
Primary differentiator Combines AI with blockchain and IoT engineering under one roof 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, AWS, Ethereum Python, scikit-learn, AWS
Industries served Healthcare, Financial services, Manufacturing, Retail & e-commerce Retail & e-commerce, SaaS, Fintech

Intellectsoft vs AtliQ Technologies: overview

Intellectsoft

Intellectsoft was founded in 2007 by Alexey Kharchykov and Dmitriy Kulikov in Kyiv, though public sources now list headquarters in either New York or Palo Alto. Staff estimates range from about 51-200 on LinkedIn to 200-300 elsewhere, with the company citing 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.

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.

Services and capabilities: Intellectsoft vs AtliQ Technologies

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

Tech stack comparison: Intellectsoft vs AtliQ Technologies

Framework / platform Intellectsoft 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: Intellectsoft vs AtliQ Technologies

Criterion Intellectsoft 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: Intellectsoft vs AtliQ Technologies

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

Intellectsoft vs AtliQ Technologies: pros and cons

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
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

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.

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: Intellectsoft vs AtliQ Technologies

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

Use case Intellectsoft fit AtliQ Technologies fit Winner
Building an AI feature that also needs blockchain-based data verification. Strong Limited Intellectsoft
Running a mixed IoT and AI project under a single engineering team. Strong Limited Intellectsoft
Adding basic AI-driven analytics to a product already in development. Limited Strong AtliQ Technologies
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: Intellectsoft vs AtliQ Technologies

Intellectsoft (3.9/5) is the stronger overall choice for most AI Development projects. Combines AI with blockchain and IoT engineering under one roof.

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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Intellectsoft vs AtliQ Technologies FAQ

Is Intellectsoft better than AtliQ Technologies?

Intellectsoft (3.9/5) scores higher overall, but "better" depends on your use case. Intellectsoft's strongest advantage: broad technology coverage means AI can be paired with blockchain or IoT work without a second vendor. 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 Intellectsoft and AtliQ Technologies differ in pricing?

Intellectsoft 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: Intellectsoft or AtliQ Technologies?

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 agency before shortlisting.

What are the main differences between Intellectsoft and AtliQ Technologies?

Intellectsoft's primary differentiator is: combines AI with blockchain and IoT engineering under one roof. 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 (150-300 vs 50-220), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, Financial services vs Retail & e-commerce, SaaS).

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