Infosys vs SoftKraft: full comparison for 2026
Quick verdict
Infosys (4.0/5) edges ahead of SoftKraft (3.9/5) overall. Infosys is the better choice for global enterprises needing AI consulting inside a full IT services contract. SoftKraft is the stronger option for startups on tight budgets needing AI strategy advice. The right choice depends on your project size, budget, and required tech stack.
Infosys vs SoftKraft: head-to-head summary
| Criterion | Infosys | SoftKraft |
|---|---|---|
| Founded | 1981 | 2015 |
| HQ | Bengaluru, India | Bielsko-Biala, Poland |
| Team size | 330,000+ | 11-50 |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Primary differentiator | One of the world's largest IT services firms with a dedicated London-based consulting arm | Small dedicated team priced for startup budgets, not enterprise rates |
| Pricing model | Retainer, enterprise contracting | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, AWS, Azure | Python, PostgreSQL, Apache Airflow |
| Industries served | Financial services, Manufacturing, Retail & e-commerce, Telecom | Fintech, SaaS, Healthtech |
Infosys vs SoftKraft: overview
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 enterprise AI consulting services, and its wholly-owned subsidiary Infosys Consulting, founded in 2004, is headquartered in London, adding a dedicated strategy layer distinct from the parent's larger delivery organization.
SoftKraft
SoftKraft was founded in 2015 by CEO Marek Petrykowski and CTO Blazej Kosmowski, running a lean 11-50 person team from Bielsko-Biala, Poland. Around 70% of its clients are North American despite the delivery team sitting in Poland. The firm's positioning centers on data-driven software, AI consulting, and data engineering built specifically for startups and small-to-mid-sized companies, not enterprise accounts.
Services and capabilities: Infosys vs SoftKraft
| Capability | Infosys | SoftKraft |
|---|---|---|
| AI strategy consulting | ✓ | ✓ |
| Generative AI | ✗ | ✗ |
| Machine learning | ✓ | ✓ |
| Data engineering | ✓ | ✓ |
| MLOps | ✗ | ✗ |
| Fixed-price projects | ✗ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Infosys vs SoftKraft
| Framework / platform | Infosys | SoftKraft |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | ✓ | N/A |
| Kubernetes | ✓ | N/A |
| LangChain | N/A | N/A |
| PyTorch | N/A | N/A |
Pricing comparison: Infosys vs SoftKraft
| Criterion | Infosys | SoftKraft |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Retainer, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Infosys vs SoftKraft
| Dimension | Infosys | SoftKraft |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Manufacturing, Retail & e-commerce | Fintech, SaaS, Healthtech |
| Best use cases | Running an AI consulting initiative as part of a much larger enterprise IT services contract., Needing a globally recognized vendor for board-level procurement approval. | Getting an AI strategy assessment for a pre-seed or seed-stage startup., Getting AI consulting and data engineering handled by one small, accountable team. |
| Typical project type | Retainer | Fixed project |
Infosys vs SoftKraft: pros and cons
| Infosys | |
|---|---|
| + | Massive global scale (330,000-plus employees) supports the largest enterprise AI programs. |
| + | Dedicated Infosys Consulting subsidiary adds a London-based strategy layer. |
| + | Four decades of operating history and deep enterprise procurement relationships. |
| + | Broad cloud and enterprise software partnerships reduce platform risk. |
| - | AI consulting 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 |
| SoftKraft | |
|---|---|
| + | Smaller team size keeps overhead, and likely cost, below mid-size and enterprise consultancies. |
| + | 70% North American client base shows the team has adapted to US buyer expectations from Poland. |
| + | Founder-led leadership stays close to delivery rather than purely sales. |
| + | Startup and SME focus means scope and pricing fit smaller budgets from the outset. |
| - | Team of 11-50 limits capacity to a handful of concurrent projects |
| - | Less public case-study history than firms with a decade-plus track record |
Who should choose Infosys?
A typical fit: running an AI consulting 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.
Who should choose SoftKraft?
A typical fit: getting an AI strategy assessment for a pre-seed or seed-stage startup.
Small dedicated team priced for startup budgets, not enterprise rates. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, SaaS, Healthtech.
Decision matrix: Infosys vs SoftKraft
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | SoftKraft |
| You need a large dedicated team for an ongoing programme | Infosys |
| Your budget is at the lower end | Compare: Infosys (Not disclosed) vs SoftKraft (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: Infosys vs SoftKraft
| Use case | Infosys fit | SoftKraft fit | Winner |
|---|---|---|---|
| Running an AI consulting initiative as part of a much larger enterprise IT services contract. | Strong | Limited | Infosys |
| Needing a globally recognized vendor for board-level procurement approval. | Strong | Limited | Infosys |
| Getting an AI strategy assessment for a pre-seed or seed-stage startup. | Limited | Strong | SoftKraft |
| Getting AI consulting and data engineering handled by one small, accountable team. | Limited | Strong | SoftKraft |
| Fixed-price project | Limited | Limited | Both equally |
| Dedicated team model | Limited | Limited | Both equally |
Verdict: Infosys vs SoftKraft
Infosys (4.0/5) is the stronger overall choice for most AI Consulting projects. One of the world's largest IT services firms with a dedicated London-based consulting arm.
SoftKraft (3.9/5) is worth a look if you need getting AI consulting and data engineering handled by one small, accountable team. If your situation matches that, SoftKraft is a competitive option.
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Infosys vs SoftKraft FAQ
Is Infosys better than SoftKraft?
Infosys (4.0/5) scores higher overall, but "better" depends on your use case. Infosys's strongest advantage: massive global scale (330,000-plus employees) supports the largest enterprise AI programs. SoftKraft's strongest advantage: smaller team size keeps overhead, and likely cost, below mid-size and enterprise consultancies.
How do Infosys and SoftKraft differ in pricing?
Infosys uses retainer, enterprise contracting pricing. SoftKraft 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: Infosys or SoftKraft?
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 Infosys and SoftKraft?
Infosys's primary differentiator is: one of the world's largest IT services firms with a dedicated London-based consulting arm. SoftKraft's primary differentiator is: small dedicated team priced for startup budgets, not enterprise rates. They also differ in team size (330,000+ vs 11-50), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Manufacturing vs Fintech, SaaS).
Verify all details directly with each company before making a decision.