Best Generative AI Consulting Firms

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 generative AI consulting inside a full IT services contract. SoftKraft is the stronger option for startups on tight budgets needing generative 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 generative 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, generative 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 a generative AI consulting initiative as part of a much larger enterprise IT services contract., Needing a globally recognized vendor for board-level procurement approval. Getting a generative AI strategy assessment for a pre-seed or seed-stage startup., Getting generative 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 generative 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.
- Generative 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 a generative 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 a generative 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 a generative 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 a generative AI strategy assessment for a pre-seed or seed-stage startup. Limited Strong SoftKraft
Getting generative 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 Generative 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 generative 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 generative 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 firm 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 firm before making a decision.