InData Labs vs Sigma Software Group: full comparison for 2026
Last updated: July 2026
Quick verdict
InData Labs (4.5/5) edges ahead of Sigma Software Group (4.0/5) overall. InData Labs is the better choice for fintech, healthcare, and SaaS companies wanting a specialist data-science boutique rather than a generalist software vendor.. Sigma Software Group is the stronger option for companies wanting ML delivered by an outsourcing firm with an independently verified, decade-plus industry ranking track record.. The right choice depends on your project size, budget, and required tech stack.
InData Labs vs Sigma Software Group: head-to-head summary
| Criterion | InData Labs | Sigma Software Group |
|---|---|---|
| Founded | 2014 | 2002 |
| HQ | Nicosia, Cyprus | Stockholm, Sweden |
| Team size | 51–200 | 1,001–5,000 |
| Rating | 4.5 / 5 | 4.0 / 5 |
| Best for | Fintech, healthcare, and SaaS companies wanting a specialist data-science boutique rather than a generalist software vendor. | Companies wanting ML delivered by an outsourcing firm with an independently verified, decade-plus industry ranking track record. |
| Pricing model | Fixed project and Time & Material | Fixed project, dedicated team, staff augmentation |
| Min. engagement | $20K | Not published |
| Primary tech stack | Python, Scikit-learn, TensorFlow | Python, TensorFlow, AWS |
| Industries served | FinTech, Healthcare, Technology/SaaS, Retail, Logistics | Technology/SaaS, Media & Entertainment, Automotive, Aerospace |
InData Labs vs Sigma Software Group: overview
InData Labs
InData Labs is a data science and AI consultancy founded in 2014 by Marat Karpeko, headquartered in Nicosia, Cyprus, with additional offices in Lithuania and the US. The 80+ person firm (per company website) runs its own R&D center and focuses on production AI systems for fintech, healthcare, SaaS, retail, and logistics clients.
Sigma Software Group
Sigma Software Group was founded in 2002 by five colleagues from Kharkiv, Ukraine — four developers and a lawyer — and is now headquartered in Stockholm, Sweden, with roughly 1,600–2,100 professionals across 40 offices in 19 countries. The firm has appeared on IAOP's World's Top 100 Outsourcing list every year since 2015, and its machine learning work sits alongside cybersecurity, AR/VR, and IoT practices.
Services and capabilities: InData Labs vs Sigma Software Group
| Capability | InData Labs | Sigma Software Group |
|---|---|---|
| Custom ML model development | ✓ | ✓ |
| Deep learning & computer vision | ✗ | ✗ |
| NLP & LLM / Generative AI | ✗ | ✗ |
| MLOps & production deployment | ✗ | ✗ |
| Data engineering | ✓ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✓ |
Tech stack comparison: InData Labs vs Sigma Software Group
| Framework / platform | InData Labs | Sigma Software Group |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | N/A |
| Databricks | N/A | N/A |
| LangChain | N/A | N/A |
Pricing comparison: InData Labs vs Sigma Software Group
| Criterion | InData Labs | Sigma Software Group |
|---|---|---|
| Minimum engagement | $20K | Not published |
| Engagement models | Fixed project, Time & Material | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Enterprise / not published |
Target audience comparison: InData Labs vs Sigma Software Group
| Dimension | InData Labs | Sigma Software Group |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Healthcare, Technology/SaaS | Technology/SaaS, Media & Entertainment, Automotive |
| Best use cases | Building a fintech risk-scoring or fraud model with a specialist data-science team, Standing up a healthcare predictive-analytics pilot with a boutique partner | Companies wanting ML delivered by a vendor with a long, independently verified outsourcing track record, Cross-disciplinary projects combining ML with AR/VR or IoT |
| Typical project type | Fixed project | Fixed project |
InData Labs vs Sigma Software Group: pros and cons
| InData Labs | |
|---|---|
| + | Founder brought data-analytics experience from the gaming industry, an unusually data-intensive prior domain |
| + | Multi-country footprint (Cyprus, Lithuania, US) without the very large headcount of enterprise IT firms |
| + | 10+ years of focused data science practice rather than a recent AI pivot from generalist dev work |
| + | Named vertical focus (FinTech, Healthcare, Logistics) supports domain-specific model design |
| - | 80-person team limits capacity for very large multi-year enterprise programs |
| - | Less brand recognition in North America than US-headquartered competitors |
| - | Public case studies rarely disclose named enterprise clients |
| Sigma Software Group | |
|---|---|
| + | 23 years of operating history from five co-founders to a 40-office global group |
| + | Independently verified IAOP Top 100 Outsourcing ranking every year since 2015, unlike self-reported rankings |
| + | 1,600+ professionals across 19 countries supports broad geographic delivery |
| + | Machine learning work paired with adjacent specialties like AR/VR and cybersecurity for cross-disciplinary projects |
| - | Machine learning is one of several specialties (alongside cybersecurity, AR/VR, IoT) rather than the firm's core focus |
| - | Less AI-specific branding than firms marketed explicitly as AI-first |
| - | Minimum engagement size not publicly disclosed |
Who should choose InData Labs?
InData Labs is the right choice for fintech, healthcare, and SaaS companies wanting a specialist data-science boutique rather than a generalist software vendor..
Dedicated in-house R&D center focused specifically on data science and AI rather than broad software outsourcing.. Minimum engagement starts at $20K. Works best with clients in FinTech, Healthcare, Technology/SaaS, Retail, Logistics.
Who should choose Sigma Software Group?
Sigma Software Group is the right choice for companies wanting ML delivered by an outsourcing firm with an independently verified, decade-plus industry ranking track record..
Consecutive annual placement on IAOP's World's Top 100 Outsourcing list every year since 2015.. Minimum engagement starts at Not published. Works best with clients in Technology/SaaS, Media & Entertainment, Automotive, Aerospace.
Decision matrix: InData Labs vs Sigma Software Group
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | InData Labs |
| You need a large dedicated team for an ongoing programme | Sigma Software Group |
| Your budget is at the lower end | Compare: InData Labs ($20K) vs Sigma Software Group (Not published) |
| You need specialist depth in a specific vertical | InData Labs |
| You need staff augmentation or team extension | Sigma Software Group |
| You need consulting before committing to a build | InData Labs |
Use case fit: InData Labs vs Sigma Software Group
| Use case | InData Labs fit | Sigma Software Group fit | Winner |
|---|---|---|---|
| Building a fintech risk-scoring or fraud model with a specialist data-science team | Strong | Limited | InData Labs |
| Standing up a healthcare predictive-analytics pilot with a boutique partner | Strong | Limited | InData Labs |
| Companies wanting ML delivered by a vendor with a long, independently verified outsourcing track record | Limited | Strong | Sigma Software Group |
| Cross-disciplinary projects combining ML with AR/VR or IoT | Limited | Strong | Sigma Software Group |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: InData Labs vs Sigma Software Group
InData Labs (4.5/5) is the stronger overall choice for most Machine Learning Development projects. Dedicated in-house R&D center focused specifically on data science and AI rather than broad software outsourcing.. It is best for fintech, healthcare, and SaaS companies wanting a specialist data-science boutique rather than a generalist software vendor..
Sigma Software Group (4.0/5) is the better choice when companies wanting ML delivered by an outsourcing firm with an independently verified, decade-plus industry ranking track record.. If your situation matches those criteria, Sigma Software Group is a competitive option.
Related comparisons
InData Labs vs Sigma Software Group FAQ
Is InData Labs better than Sigma Software Group?
InData Labs (4.5/5) scores higher overall, but "better" depends on your use case. InData Labs is better for fintech, healthcare, and SaaS companies wanting a specialist data-science boutique rather than a generalist software vendor.. Sigma Software Group is better for companies wanting ML delivered by an outsourcing firm with an independently verified, decade-plus industry ranking track record..
How do InData Labs and Sigma Software Group differ in pricing?
InData Labs uses fixed project and time & material pricing with a minimum engagement of $20K. Sigma Software Group uses fixed project, dedicated team, staff augmentation pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: InData Labs or Sigma Software Group?
Sigma Software Group is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between InData Labs and Sigma Software Group?
InData Labs's primary differentiator is: dedicated in-house r&d center focused specifically on data science and ai rather than broad software outsourcing.. Sigma Software Group's primary differentiator is: consecutive annual placement on iaop's world's top 100 outsourcing list every year since 2015.. They also differ in team size (51–200 vs 1,001–5,000), minimum engagement ($20K vs Not published), and primary industries served (FinTech, Healthcare vs Technology/SaaS, Media & Entertainment).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.