SoftKraft vs Markovate: full comparison for 2026
Quick verdict
SoftKraft (4.4/5) edges ahead of Markovate (3.9/5) overall. SoftKraft is the better choice for EU startups on tight budgets needing a fully local AI team. Markovate is the stronger option for US founders wanting an AI-only product partner. The right choice depends on your project size, budget, and required tech stack.
SoftKraft vs Markovate: head-to-head summary
| Criterion | SoftKraft | Markovate |
|---|---|---|
| Founded | 2015 | 2015 |
| HQ | Bielsko-Biala, Poland | San Francisco, United States |
| Team size | 11-50 | 51-200 |
| Rating | 4.4 / 5 | 3.9 / 5 |
| Primary differentiator | Fully EU-based team pricing accessibly for startup budgets, not enterprise rates | AI-exclusive focus dating to 2015, based entirely in the US |
| Pricing model | Fixed project or dedicated team | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, PostgreSQL, Apache Airflow | Python, PyTorch, OpenAI API |
| Industries served | Fintech, SaaS, Healthtech | Fintech, Healthcare, Retail & e-commerce, Logistics |
SoftKraft vs Markovate: overview
SoftKraft
SoftKraft was founded in 2015 by CEO Marek Petrykowski and CTO Blazej Kosmowski, running a lean 11-50 person team out of Bielsko-Biala, Poland, an EU member state. Around 70% of its clients come from North America despite the delivery team sitting fully within the EU, which gives European clients a genuinely local option most competitors its size don't offer. The firm's positioning centers on data-driven software, AI, and data engineering built specifically for startups and small-to-mid-sized companies, not enterprise accounts.
Markovate
Markovate has run as an AI-only agency out of San Francisco since 2015, with a team in the 51-200 range under co-founder Rajeev Sharma. Its decade of case studies has stayed centered on generative AI and machine learning product work, entirely from a US base with no reported European delivery presence.
Services and capabilities: SoftKraft vs Markovate
| Capability | SoftKraft | Markovate |
|---|---|---|
| Generative AI | ✗ | ✓ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✓ |
| MLOps | ✗ | ✗ |
| AI consulting | ✓ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: SoftKraft vs Markovate
| Framework / platform | SoftKraft | Markovate |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| OpenAI API | N/A | ✓ |
| TensorFlow | N/A | N/A |
| PyTorch | N/A | ✓ |
| Kubernetes | N/A | N/A |
Pricing comparison: SoftKraft vs Markovate
| Criterion | SoftKraft | Markovate |
|---|---|---|
| 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: SoftKraft vs Markovate
| Dimension | SoftKraft | Markovate |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, SaaS, Healthtech | Fintech, Healthcare, Retail & e-commerce |
| Best use cases | Building a data-driven MVP for an EU-based pre-seed or seed-stage startup., Getting AI and data engineering handled by one small, fully EU-based team. | Turning a generative AI concept into a shipped product with a small, senior US-based team., Getting a fast generative AI prototype built before deciding on an in-house hire. |
| Typical project type | Fixed project | Fixed project |
SoftKraft vs Markovate: pros and cons
| SoftKraft | |
|---|---|
| + | Fully EU-based team (Poland) gives European clients local delivery without an offshore layer. |
| + | Small team size keeps overhead, and likely cost, below mid-size and enterprise vendors. |
| + | Founder-led leadership stays close to delivery rather than purely sales. |
| + | Startup and SME focus means scope and pricing fit smaller EU 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 |
| Markovate | |
|---|---|
| + | Ten years of AI-only positioning predates most competitors' generative AI pivot. |
| + | Based in San Francisco, close to the model providers it integrates most often. |
| + | Willing to take direct founder calls rather than routing through account management layers. |
| + | Case studies describe shipped generative AI products rather than proof-of-concept demos. |
| - | No reported European office or delivery presence |
| - | Team size limits how many large concurrent engagements the agency can realistically run |
Who should choose SoftKraft?
A typical fit: building a data-driven MVP for an EU-based pre-seed or seed-stage startup.
Fully EU-based team pricing accessibly for startup budgets, not enterprise rates. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, SaaS, Healthtech.
Who should choose Markovate?
A typical fit: turning a generative AI concept into a shipped product with a small, senior US-based team.
AI-exclusive focus dating to 2015, based entirely in the US. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Retail & e-commerce, Logistics.
Decision matrix: SoftKraft vs Markovate
| 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 | SoftKraft |
| Your budget is at the lower end | Compare: SoftKraft (Not disclosed) vs Markovate (Not disclosed) |
| You need specialist depth in a specific vertical | Markovate |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | SoftKraft |
Use case fit: SoftKraft vs Markovate
| Use case | SoftKraft fit | Markovate fit | Winner |
|---|---|---|---|
| Building a data-driven MVP for an EU-based pre-seed or seed-stage startup. | Strong | Limited | SoftKraft |
| Getting AI and data engineering handled by one small, fully EU-based team. | Strong | Strong | Both equally |
| Turning a generative AI concept into a shipped product with a small, senior US-based team. | Limited | Strong | Markovate |
| Getting a fast generative AI prototype built before deciding on an in-house hire. | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: SoftKraft vs Markovate
SoftKraft (4.4/5) is the stronger overall choice for most AI Development projects. Fully EU-based team pricing accessibly for startup budgets, not enterprise rates.
Markovate (3.9/5) is worth a look if you need getting a fast generative AI prototype built before deciding on an in-house hire. If your situation matches that, Markovate is a competitive option.
Related comparisons
SoftKraft vs Markovate FAQ
Is SoftKraft better than Markovate?
SoftKraft (4.4/5) scores higher overall, but "better" depends on your use case. SoftKraft's strongest advantage: fully EU-based team (Poland) gives European clients local delivery without an offshore layer. Markovate's strongest advantage: ten years of AI-only positioning predates most competitors' generative AI pivot.
How do SoftKraft and Markovate differ in pricing?
SoftKraft uses fixed project or dedicated team pricing. Markovate 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: SoftKraft or Markovate?
Markovate 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 SoftKraft and Markovate?
SoftKraft's primary differentiator is: fully EU-based team pricing accessibly for startup budgets, not enterprise rates. Markovate's primary differentiator is: AI-exclusive focus dating to 2015, based entirely in the US. They also differ in team size (11-50 vs 51-200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, SaaS vs Fintech, Healthcare).
Verify all details directly with each company before making a decision.