AtliQ Technologies vs Infosys: full comparison for 2026
Quick verdict
AtliQ Technologies (3.9/5) edges ahead of Infosys (3.9/5) overall. AtliQ Technologies is the better choice for budget-conscious teams wanting AI added to a product build. Infosys is the stronger option for global enterprises needing AI inside a full IT services contract. The right choice depends on your project size, budget, and required tech stack.
AtliQ Technologies vs Infosys: head-to-head summary
| Criterion | AtliQ Technologies | Infosys |
|---|---|---|
| Founded | 2017 | 1981 |
| HQ | Vadodara, India | Bengaluru, India |
| Team size | 50-220 | 330,000+ |
| Rating | 3.9 / 5 | 3.9 / 5 |
| Primary differentiator | US and India presence at startup-friendly pricing for a firm founded in 2017 | One of the world's largest IT services firms with a dedicated London-based consulting arm |
| Pricing model | Fixed project or dedicated team | Retainer, enterprise contracting |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, scikit-learn, AWS | Python, AWS, Azure |
| Industries served | Retail & e-commerce, SaaS, Fintech | Financial services, Manufacturing, Retail & e-commerce, Telecom |
AtliQ Technologies vs Infosys: 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.
Infosys
Infosys was founded in 1981 and is headquartered in Bengaluru, India, employing approximately 330,429 people worldwide as of March 2026. The company delivers a comprehensive suite of enterprise AI development services alongside automation, cybersecurity, and advanced data analytics, and its wholly-owned subsidiary Infosys Consulting, founded in 2004 and headquartered in London, adds a dedicated strategy and consulting layer on top. At this scale, AI development is one thread inside one of the world's largest IT services organizations rather than a boutique specialty.
Services and capabilities: AtliQ Technologies vs Infosys
| Capability | AtliQ Technologies | Infosys |
|---|---|---|
| Generative AI | ✗ | ✗ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✓ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: AtliQ Technologies vs Infosys
| Framework / platform | AtliQ Technologies | Infosys |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | ✓ |
Pricing comparison: AtliQ Technologies vs Infosys
| Criterion | AtliQ Technologies | Infosys |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team | Retainer, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: AtliQ Technologies vs Infosys
| Dimension | AtliQ Technologies | Infosys |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail & e-commerce, SaaS, Fintech | Financial services, Manufacturing, Retail & e-commerce |
| 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. | Running an AI initiative as part of a much larger enterprise IT services contract., Needing a globally recognized vendor for board-level procurement approval. |
| Typical project type | Fixed project | Retainer |
AtliQ Technologies vs Infosys: 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 |
| Infosys | |
|---|---|
| + | Massive global scale (330,000-plus employees) supports the largest enterprise AI programs. |
| + | Dedicated Infosys Consulting subsidiary adds a strategy layer alongside technical delivery. |
| + | Four decades of operating history and deep enterprise procurement relationships. |
| + | Broad cloud and enterprise software partnerships reduce platform risk. |
| - | AI is one part of an enormous general IT services business, not a specialized focus |
| - | Scale typically means slower engagement setup than smaller, more agile firms |
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 Infosys?
A typical fit: running an AI initiative as part of a much larger enterprise IT services contract.
One of the world's largest IT services firms with a dedicated London-based consulting arm. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Manufacturing, Retail & e-commerce, Telecom.
Decision matrix: AtliQ Technologies vs Infosys
| 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 Infosys (Not disclosed) |
| You need specialist depth in a specific vertical | Infosys |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Infosys |
Use case fit: AtliQ Technologies vs Infosys
| Use case | AtliQ Technologies fit | Infosys 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 | Limited | AtliQ Technologies |
| Running an AI initiative as part of a much larger enterprise IT services contract. | Limited | Strong | Infosys |
| Needing a globally recognized vendor for board-level procurement approval. | Limited | Strong | Infosys |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: AtliQ Technologies vs Infosys
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.
Infosys (3.9/5) is worth a look if you need needing a globally recognized vendor for board-level procurement approval. If your situation matches that, Infosys is a competitive option.
Related comparisons
AtliQ Technologies vs Infosys FAQ
Is AtliQ Technologies better than Infosys?
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. Infosys's strongest advantage: massive global scale (330,000-plus employees) supports the largest enterprise AI programs.
How do AtliQ Technologies and Infosys differ in pricing?
AtliQ Technologies uses fixed project or dedicated team pricing. Infosys uses retainer, enterprise contracting 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 Infosys?
Infosys 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 Infosys?
AtliQ Technologies's primary differentiator is: US and India presence at startup-friendly pricing for a firm founded in 2017. Infosys's primary differentiator is: one of the world's largest IT services firms with a dedicated London-based consulting arm. They also differ in team size (50-220 vs 330,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Retail & e-commerce, SaaS vs Financial services, Manufacturing).
Verify all details directly with each company before making a decision.