Markovate vs SoftKraft: full comparison for 2026
Quick verdict
Markovate (4.5/5) edges ahead of SoftKraft (4.0/5) overall. Markovate is the better choice for founders wanting a generative AI-only product partner. SoftKraft is the stronger option for startups on tight budgets needing generative AI MVPs. The right choice depends on your project size, budget, and required tech stack.
Markovate vs SoftKraft: head-to-head summary
| Criterion | Markovate | SoftKraft |
|---|---|---|
| Founded | 2015 | 2015 |
| HQ | San Francisco, United States | Bielsko-Biala, Poland |
| Team size | 51-200 | 11-50 |
| Rating | 4.5 / 5 | 4.0 / 5 |
| Primary differentiator | AI-exclusive focus dating to 2015, ahead of the current generative AI cycle | Small dedicated team priced for startup budgets, not enterprise rates |
| Pricing model | Fixed project or dedicated team | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, PyTorch, OpenAI API | Python, OpenAI API, PostgreSQL |
| Industries served | Fintech, Healthcare, Retail & e-commerce, Logistics | Fintech, SaaS, Healthtech |
Markovate vs SoftKraft: overview
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 specifically, predating the current wave of firms rebranding around large language models. That narrow focus trades breadth for depth: clients get a generative AI specialist, not a full-service development partner handling every kind of project.
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 and generative AI built specifically for startups and small-to-mid-sized companies, not enterprise accounts.
Services and capabilities: Markovate vs SoftKraft
| Capability | Markovate | SoftKraft |
|---|---|---|
| Generative AI | ✓ | ✓ |
| Machine learning | ✓ | ✗ |
| AI agents | ✓ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✓ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Markovate vs SoftKraft
| Framework / platform | Markovate | SoftKraft |
|---|---|---|
| Python | ✓ | ✓ |
| OpenAI API | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| LangChain | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Markovate vs SoftKraft
| Criterion | Markovate | SoftKraft |
|---|---|---|
| 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: Markovate vs SoftKraft
| Dimension | Markovate | SoftKraft |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, Retail & e-commerce | Fintech, SaaS, Healthtech |
| Best use cases | Turning a generative AI concept into a shipped product with a small, senior team., Getting a fast generative AI prototype built before deciding on an in-house hire. | Building a generative AI-powered MVP for a pre-seed or seed-stage startup., Getting generative AI and data engineering handled by one small, accountable team. |
| Typical project type | Fixed project | Fixed project |
Markovate vs SoftKraft: pros and cons
| 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. |
| - | Team size limits how many large concurrent engagements the agency can realistically run |
| - | No published minimum engagement figure to budget against upfront |
| SoftKraft | |
|---|---|
| + | Smaller team size keeps overhead, and likely cost, below mid-size and enterprise agencies. |
| + | 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 agencies with a decade-plus track record |
Who should choose Markovate?
A typical fit: turning a generative AI concept into a shipped product with a small, senior team.
AI-exclusive focus dating to 2015, ahead of the current generative AI cycle. Minimum engagement is not publicly disclosed. Works best with clients in Fintech, Healthcare, Retail & e-commerce, Logistics.
Who should choose SoftKraft?
A typical fit: building a generative AI-powered MVP 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: Markovate vs SoftKraft
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Markovate |
| You need a large dedicated team for an ongoing programme | Markovate |
| Your budget is at the lower end | Compare: Markovate (Not disclosed) vs SoftKraft (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: Markovate vs SoftKraft
| Use case | Markovate fit | SoftKraft fit | Winner |
|---|---|---|---|
| Turning a generative AI concept into a shipped product with a small, senior team. | Strong | Limited | Markovate |
| Getting a fast generative AI prototype built before deciding on an in-house hire. | Strong | Strong | Both equally |
| Building a generative AI-powered MVP for a pre-seed or seed-stage startup. | Limited | Strong | SoftKraft |
| Getting generative AI and data engineering handled by one small, accountable team. | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Markovate vs SoftKraft
Markovate (4.5/5) is the stronger overall choice for most Generative AI Development projects. AI-exclusive focus dating to 2015, ahead of the current generative AI cycle.
SoftKraft (4.0/5) is worth a look if you need getting generative AI and data engineering handled by one small, accountable team. If your situation matches that, SoftKraft is a competitive option.
Related comparisons
Markovate vs SoftKraft FAQ
Is Markovate better than SoftKraft?
Markovate (4.5/5) scores higher overall, but "better" depends on your use case. Markovate's strongest advantage: ten years of AI-only positioning predates most competitors' generative AI pivot. SoftKraft's strongest advantage: smaller team size keeps overhead, and likely cost, below mid-size and enterprise agencies.
How do Markovate and SoftKraft differ in pricing?
Markovate uses fixed project or dedicated team 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: Markovate or SoftKraft?
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 Markovate and SoftKraft?
Markovate's primary differentiator is: AI-exclusive focus dating to 2015, ahead of the current generative AI cycle. SoftKraft's primary differentiator is: small dedicated team priced for startup budgets, not enterprise rates. They also differ in team size (51-200 vs 11-50), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Fintech, Healthcare vs Fintech, SaaS).
Verify all details directly with each company before making a decision.