SoftKraft vs InData Labs: full comparison for 2026
Quick verdict
SoftKraft (4.4/5) edges ahead of InData Labs (4.2/5) overall. SoftKraft is the better choice for EU startups on tight budgets needing a fully local AI team. InData Labs is the stronger option for EU clients needing GDPR-aligned data science handling. The right choice depends on your project size, budget, and required tech stack.
SoftKraft vs InData Labs: head-to-head summary
| Criterion | SoftKraft | InData Labs |
|---|---|---|
| Founded | 2015 | 2014 |
| HQ | Bielsko-Biala, Poland | Limassol, Cyprus |
| Team size | 11-50 | 51-200 |
| Rating | 4.4 / 5 | 4.2 / 5 |
| Primary differentiator | Fully EU-based team pricing accessibly for startup budgets, not enterprise rates | EU legal base (Cyprus) simplifying GDPR-aligned data handling for European clients |
| 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, scikit-learn, TensorFlow |
| Industries served | Fintech, SaaS, Healthtech | Retail & e-commerce, Gaming, Fintech, Healthcare |
SoftKraft vs InData Labs: 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.
InData Labs
InData Labs was founded in 2014 by gaming-industry veteran Marat Karpeko and is headquartered in Cyprus, an EU member state, with additional offices reported in Lithuania and the US. Staff estimates swing between roughly 65 and 200 across sources. Its practice centers on data science, predictive analytics, natural language processing, and computer vision, with a genuinely EU legal base that simplifies GDPR-aligned data handling for European clients compared to firms operating entirely outside EU jurisdiction.
Services and capabilities: SoftKraft vs InData Labs
| Capability | SoftKraft | InData Labs |
|---|---|---|
| Generative AI | ✗ | ✗ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✓ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: SoftKraft vs InData Labs
| Framework / platform | SoftKraft | InData Labs |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| OpenAI API | N/A | N/A |
| TensorFlow | N/A | ✓ |
| PyTorch | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: SoftKraft vs InData Labs
| Criterion | SoftKraft | InData Labs |
|---|---|---|
| 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 InData Labs
| Dimension | SoftKraft | InData Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, SaaS, Healthtech | Retail & e-commerce, Gaming, Fintech |
| 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. | Building predictive models from an existing data warehouse with EU data residency requirements., Adding computer vision to a European product that already produces image or video data. |
| Typical project type | Fixed project | Fixed project |
SoftKraft vs InData Labs: 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 |
| InData Labs | |
|---|---|
| + | Cyprus headquarters (EU member state) simplifies GDPR-aligned data handling for European clients. |
| + | Founder's gaming background brings real-time data processing experience to computer vision work. |
| + | Predictive analytics and NLP expertise predates the current generative AI wave. |
| + | More than a decade of track record in a narrower, more defensible specialty. |
| - | Reported team size varies close to 3x across public sources |
| - | Less generative AI and LLM-specific public case work than firms built specifically around that |
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 InData Labs?
A typical fit: building predictive models from an existing data warehouse with EU data residency requirements.
EU legal base (Cyprus) simplifying GDPR-aligned data handling for European clients. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Gaming, Fintech, Healthcare.
Decision matrix: SoftKraft vs InData Labs
| 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 InData Labs (Not disclosed) |
| You need specialist depth in a specific vertical | InData Labs |
| 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 InData Labs
| Use case | SoftKraft fit | InData Labs fit | Winner |
|---|---|---|---|
| Building a data-driven MVP for an EU-based pre-seed or seed-stage startup. | Strong | Strong | Both equally |
| Getting AI and data engineering handled by one small, fully EU-based team. | Strong | Limited | SoftKraft |
| Building predictive models from an existing data warehouse with EU data residency requirements. | Strong | Strong | Both equally |
| Adding computer vision to a European product that already produces image or video data. | Limited | Strong | InData Labs |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: SoftKraft vs InData Labs
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.
InData Labs (4.2/5) is worth a look if you need adding computer vision to a European product that already produces image or video data. If your situation matches that, InData Labs is a competitive option.
Related comparisons
SoftKraft vs InData Labs FAQ
Is SoftKraft better than InData Labs?
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. InData Labs's strongest advantage: cyprus headquarters (EU member state) simplifies GDPR-aligned data handling for European clients.
How do SoftKraft and InData Labs differ in pricing?
SoftKraft uses fixed project or dedicated team pricing. InData Labs 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 InData Labs?
InData Labs 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 InData Labs?
SoftKraft's primary differentiator is: fully EU-based team pricing accessibly for startup budgets, not enterprise rates. InData Labs's primary differentiator is: EU legal base (Cyprus) simplifying GDPR-aligned data handling for European clients. 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 Retail & e-commerce, Gaming).
Verify all details directly with each company before making a decision.