Intellectsoft vs Infosys: full comparison for 2026
Last updated: July 2026
Quick verdict
Intellectsoft (4.1/5) edges ahead of Infosys (3.9/5) overall. Intellectsoft is the better choice for companies wanting an enterprise-name client roster and a dedicated AI Lab structure for custom model development within a smaller boutique team.. Infosys is the stronger option for very large global enterprises wanting a substantial library of pre-built, reusable AI models and assets rather than starting entirely from scratch.. The right choice depends on your project size, budget, and required tech stack.
Intellectsoft vs Infosys: head-to-head summary
| Criterion | Intellectsoft | Infosys |
|---|---|---|
| Founded | 2007 | 1981 |
| HQ | New York, USA | Bengaluru, India |
| Team size | 51–200 | 10,000+ |
| Rating | 4.1 / 5 | 3.9 / 5 |
| Best for | Companies wanting an enterprise-name client roster and a dedicated AI Lab structure for custom model development within a smaller boutique team. | Very large global enterprises wanting a substantial library of pre-built, reusable AI models and assets rather than starting entirely from scratch. |
| Pricing model | Not published; project and dedicated team | Not published; enterprise project engagements |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, ML infrastructure/orchestration tooling, Cloud platforms (AWS/Azure/GCP) | Infosys Topaz (proprietary), Topaz Fabric (proprietary), Cloud ML platforms (AWS/Azure/GCP) |
| Industries served | Financial services, Automotive, Media and entertainment, Manufacturing | Banking and financial services, Manufacturing, Retail, Telecommunications |
Intellectsoft vs Infosys: overview
Intellectsoft
Intellectsoft is a custom software and AI engineering company founded in 2007, headquartered in New York with additional offices across the US, UK, Norway, Ukraine, and Latin America. The company reports more than 150 engineers, architects, and consultants across ten global offices, and operates a dedicated AI Lab offering full-cycle custom AI model development including data science research, training, validation, and testing, along with infrastructure management for ML workloads. Publicly named clients include EY, Harley-Davidson, Jaguar Motors, Universal Pictures, the London Stock Exchange, Qualcomm, and Bombardier.
Infosys
Infosys was founded in 1981 in Pune by seven engineers including N.R. Narayana Murthy and Nandan Nilekani, and is headquartered in Bengaluru with more than 330,000 employees worldwide, trading publicly on the NYSE under INFY. Its AI practice, branded Infosys Topaz, reports more than 12,000 AI assets, over 150 pre-trained AI models, and more than ten AI platforms supporting machine learning, generative AI, conversational AI, and intelligent automation work across industry verticals. The company recently launched Topaz Fabric, a composable stack of AI agents, services, and models intended to accelerate enterprise AI investment value.
Services and capabilities: Intellectsoft vs Infosys
| Capability | Intellectsoft | Infosys |
|---|---|---|
| Custom model training | ✓ | ✓ |
| Fine-tuning & adaptation | ✗ | ✗ |
| MLOps pipeline | ✗ | ✓ |
| Model deployment & serving | ✗ | ✓ |
| Data engineering for ML | ✓ | ✗ |
| ML infrastructure management | ✓ | ✗ |
| Computer vision | ✗ | ✗ |
| NLP & LLM development | ✗ | ✗ |
| Forecasting & time-series modeling | ✗ | ✗ |
| ML strategy consulting | ✗ | ✓ |
Tech stack comparison: Intellectsoft vs Infosys
| Framework / platform | Intellectsoft | Infosys |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| MLflow | N/A | N/A |
| AWS SageMaker | N/A | N/A |
| Amazon Bedrock | N/A | N/A |
| Google Cloud | N/A | N/A |
| Microsoft Azure | N/A | N/A |
| Kubernetes | N/A | N/A |
| Snowflake | N/A | N/A |
| NVIDIA | N/A | N/A |
Pricing comparison: Intellectsoft vs Infosys
| Criterion | Intellectsoft | Infosys |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Dedicated team | Enterprise project engagement, Managed AI services, Composable agent platform (Topaz Fabric) |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Intellectsoft vs Infosys
| Dimension | Intellectsoft | Infosys |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Financial services, Automotive, Media and entertainment | Banking and financial services, Manufacturing, Retail |
| Best use cases | Building a custom ML model end-to-end, from data science research through validation and deployment, Managing infrastructure for existing ML workloads at an enterprise client | Very large enterprises wanting to accelerate AI delivery using a large library of pre-built models and assets, Deploying composable AI agents via the Topaz Fabric platform across multiple business functions |
| Typical project type | Fixed project | Enterprise project engagement |
Intellectsoft vs Infosys: pros and cons
| Intellectsoft | |
|---|---|
| + | Named, verifiable enterprise clients including EY, Harley-Davidson, and the London Stock Exchange. |
| + | Dedicated AI Lab structure separates ML delivery from general software development. |
| + | Nearly two decades of continuous operation across multiple international offices. |
| + | 44 Clutch reviews with recognition as a top Ukraine-based software developer for 2024. |
| - | Team size (150+ engineers/architects/consultants) is relatively modest for the scale of enterprise clients named. |
| - | Pricing model and minimum engagement size are not published. |
| - | Specific ML/AI project outcomes for named clients are not always detailed publicly beyond the client list. |
| - | As a broader custom software company, AI/ML competes for delivery focus with other practice areas. |
| Infosys | |
|---|---|
| + | Largest disclosed pre-built AI asset library in this comparison (12,000+ assets, 150+ pre-trained models) can materially speed up delivery. |
| + | New Topaz Fabric composable AI agent platform reflects continued investment in productized AI tooling. |
| + | Publicly traded (NYSE: INFY) with more than four decades of operating history and strong financial transparency. |
| + | Very large global workforce (330,000+) supports substantial multi-region program capacity. |
| - | Specific founding date, headquarters, and team size for the Topaz practice itself are not separately disclosed from the parent company in available public sources. |
| - | No clearly located aggregate Clutch/G2 star rating specific to its AI practice. |
| - | Pricing model and minimum engagement are not published, and typical minimums are substantial for enterprise engagements. |
| - | Heavy reliance on pre-built assets may be less suited to clients needing a fully custom, from-scratch model architecture. |
Who should choose Intellectsoft?
Intellectsoft is the right choice for companies wanting an enterprise-name client roster and a dedicated AI Lab structure for custom model development within a smaller boutique team..
Unusually strong roster of large, publicly named enterprise clients (EY, Qualcomm, London Stock Exchange) for a company of its relatively modest team size.. Minimum engagement starts at Not published. Works best with clients in Financial services, Automotive, Media and entertainment, Manufacturing.
Who should choose Infosys?
Infosys is the right choice for very large global enterprises wanting a substantial library of pre-built, reusable AI models and assets rather than starting entirely from scratch..
Largest disclosed library of reusable, pre-trained AI assets in this comparison (12,000+ assets, 150+ pre-trained models), positioned to accelerate delivery versus fully bespoke builds.. Minimum engagement starts at Not published. Works best with clients in Banking and financial services, Manufacturing, Retail, Telecommunications.
Decision matrix: Intellectsoft vs Infosys
| 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 published) vs Infosys (Not published) |
| 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 | Infosys |
Use case fit: Intellectsoft vs Infosys
| Use case | Intellectsoft fit | Infosys fit | Winner |
|---|---|---|---|
| Building a custom ML model end-to-end, from data science research through validation and deployment | Strong | Limited | Intellectsoft |
| Managing infrastructure for existing ML workloads at an enterprise client | Strong | Limited | Intellectsoft |
| Very large enterprises wanting to accelerate AI delivery using a large library of pre-built models and assets | Limited | Strong | Infosys |
| Deploying composable AI agents via the Topaz Fabric platform across multiple business functions | Limited | Strong | Infosys |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Limited | Limited | Both equally |
Verdict: Intellectsoft vs Infosys
Intellectsoft (4.1/5) is the stronger overall choice for most ML Model Development projects. Unusually strong roster of large, publicly named enterprise clients (EY, Qualcomm, London Stock Exchange) for a company of its relatively modest team size.. It is best for companies wanting an enterprise-name client roster and a dedicated AI Lab structure for custom model development within a smaller boutique team..
Infosys (3.9/5) is the better choice when very large global enterprises wanting a substantial library of pre-built, reusable AI models and assets rather than starting entirely from scratch.. If your situation matches those criteria, Infosys is a competitive option.
Related comparisons
Intellectsoft vs Infosys FAQ
Is Intellectsoft better than Infosys?
Intellectsoft (4.1/5) scores higher overall, but "better" depends on your use case. Intellectsoft is better for companies wanting an enterprise-name client roster and a dedicated AI Lab structure for custom model development within a smaller boutique team.. Infosys is better for very large global enterprises wanting a substantial library of pre-built, reusable AI models and assets rather than starting entirely from scratch..
How do Intellectsoft and Infosys differ in pricing?
Intellectsoft uses not published; project and dedicated team pricing with a minimum engagement of Not published. Infosys uses not published; enterprise project engagements pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Intellectsoft or Infosys?
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 Intellectsoft and Infosys?
Intellectsoft's primary differentiator is: unusually strong roster of large, publicly named enterprise clients (ey, qualcomm, london stock exchange) for a company of its relatively modest team size.. Infosys's primary differentiator is: largest disclosed library of reusable, pre-trained ai assets in this comparison (12,000+ assets, 150+ pre-trained models), positioned to accelerate delivery versus fully bespoke builds.. They also differ in team size (51–200 vs 10,000+), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Automotive vs Banking and financial services, Manufacturing).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.