InData Labs vs Sigma Software: full comparison for 2026
Last updated: July 2026
Quick verdict
InData Labs (4.4/5) edges ahead of Sigma Software (3.7/5) overall. InData Labs is the better choice for companies wanting a decade-plus data science track record with in-house R&D rather than a pure project-delivery shop.. Sigma Software is the stronger option for large enterprises wanting a Swedish-incorporated, EU-contractable IT consultancy at significant scale, aware that its founding technical culture originates from Ukraine.. The right choice depends on your project size, budget, and required tech stack.
InData Labs vs Sigma Software: head-to-head summary
| Criterion | InData Labs | Sigma Software |
|---|---|---|
| Founded | 2014 | 2002 |
| HQ | Nicosia, Cyprus (R&D and delivery centers in Lithuania and the US) | Stockholm, Sweden (legal HQ, Sigma Sweden Software AB; founding engineering base in Kharkiv, Ukraine) |
| Team size | 80+ | 2,100+ |
| Rating | 4.4 / 5 | 3.7 / 5 |
| Best for | Companies wanting a decade-plus data science track record with in-house R&D rather than a pure project-delivery shop. | Large enterprises wanting a Swedish-incorporated, EU-contractable IT consultancy at significant scale, aware that its founding technical culture originates from Ukraine. |
| Pricing model | Fixed project, Time & Materials | Dedicated team, staff augmentation, fixed project |
| Min. engagement | Not published | Not published (enterprise-scale) |
| Primary tech stack | Python, Generative AI/GPT tooling, Computer vision frameworks | Python, Cloud platforms, Data engineering pipelines |
| Industries served | Cross-industry, Predictive Analytics | Cross-industry enterprise IT |
InData Labs vs Sigma Software: overview
InData Labs
InData Labs is a data science and AI consultancy legally headquartered in Nicosia, Cyprus, founded in 2014 by video-gaming industry veteran Marat Karpeko, with R&D and delivery centers in Lithuania and the US. The 80+ person firm runs its own R&D center and covers a wide technical band from generative AI and GPT integration through predictive analytics, forecasting, and computer vision. Its Cyprus legal HQ gives clients an EU-entity contracting structure alongside nearshore delivery capacity.
Sigma Software
Sigma Software was founded in 2002 by five friends from Kharkiv, Ukraine, and is legally headquartered in Stockholm, Sweden under the entity Sigma Sweden Software AB — 60% owned by the Swedish Sigma Group since it acquired a controlling stake in the Kharkiv-based predecessor company in 2006. It now has 2,100+ professionals across 40 offices in 19 countries, delivering software engineering, data, and AI-adjacent services to enterprise clients.
Services and capabilities: InData Labs vs Sigma Software
| Capability | InData Labs | Sigma Software |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI | ✓ | ✗ |
| MLOps | ✗ | ✗ |
| Data Engineering | ✓ | ✓ |
| Staff Augmentation | ✗ | ✓ |
Tech stack comparison: InData Labs vs Sigma Software
| Framework / platform | InData Labs | Sigma Software |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | N/A | N/A |
| Microsoft Azure | N/A | N/A |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | N/A |
| PyTorch | N/A | N/A |
| LangChain | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: InData Labs vs Sigma Software
| Criterion | InData Labs | Sigma Software |
|---|---|---|
| Minimum engagement | Not published | Not published (enterprise-scale) |
| Engagement models | Fixed project, Time & Materials | Dedicated team, Staff augmentation, Fixed project |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / mid-market | Enterprise / mid-market |
Target audience comparison: InData Labs vs Sigma Software
| Dimension | InData Labs | Sigma Software |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Cross-industry, Predictive Analytics | Cross-industry enterprise IT |
| Best use cases | Generative AI and GPT integration projects, Predictive analytics and forecasting | Enterprise IT consultancy engagements with embedded AI/ML components, Large-scale staff augmentation for AI-adjacent development |
| Typical project type | Fixed project | Dedicated team |
InData Labs vs Sigma Software: pros and cons
| InData Labs | |
|---|---|
| + | Founded 2014 — one of the longer-running boutique data science firms in this list |
| + | In-house R&D center is a differentiator versus pure staff-augmentation vendors |
| + | Cyprus legal HQ with Lithuania/US delivery centers gives EU-entity contracting plus nearshore delivery |
| + | Broad technical range from generative AI to classic forecasting and computer vision |
| - | 80+ employee band is imprecise — exact current headcount is not independently published |
| - | Legal HQ (Cyprus) is a smaller AI hub than its Lithuania delivery center, which may matter to buyers wanting an on-the-ground presence |
| - | Pricing model and minimum engagement are not published |
| Sigma Software | |
|---|---|
| + | 2,100+ professionals across 40 offices in 19 countries give exceptional scale and geographic reach |
| + | Majority Swedish ownership (Sigma AB, 60%) since 2006 provides a stable, publicly documented corporate structure |
| + | Founded 2002 by five Kharkiv co-founders — over two decades of continuous operation |
| + | 40-office footprint across 19 countries supports very large, multi-region enterprise programs |
| - | Legal HQ (Stockholm) is a corporate and ownership structure rather than the company's historical engineering center of gravity (Kharkiv, Ukraine) — buyers should understand this distinction |
| - | 2,100+ person, 19-country scale means AI/ML is one capability among many broad IT consultancy services, not a named specialist practice |
| - | Public information on a dedicated AI/ML practice or named AI case studies is less detailed than several boutique competitors on this list |
Who should choose InData Labs?
InData Labs is the right choice for companies wanting a decade-plus data science track record with in-house R&D rather than a pure project-delivery shop..
Runs its own R&D center rather than purely project-based delivery, spanning generative AI/GPT integration through classic predictive analytics and computer vision.. Minimum engagement starts at Not published. Works best with clients in Cross-industry, Predictive Analytics.
Who should choose Sigma Software?
Sigma Software is the right choice for large enterprises wanting a Swedish-incorporated, EU-contractable IT consultancy at significant scale, aware that its founding technical culture originates from Ukraine..
60% owned by the Swedish Sigma Group since 2006, giving Sigma Software a Swedish corporate parent and legal entity while its founding engineering culture and historical delivery base trace to Kharkiv, Ukraine.. Minimum engagement starts at Not published (enterprise-scale). Works best with clients in Cross-industry enterprise IT.
Decision matrix: InData Labs vs Sigma Software
| 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 |
| Your budget is at the lower end | Compare: InData Labs (Not published) vs Sigma Software (Not published (enterprise-scale)) |
| You need specialist depth in a specific vertical | InData Labs |
| You need staff augmentation or team extension | Sigma Software |
| You need consulting before committing to a build | InData Labs |
Use case fit: InData Labs vs Sigma Software
| Use case | InData Labs fit | Sigma Software fit | Winner |
|---|---|---|---|
| Generative AI and GPT integration projects | Strong | Limited | InData Labs |
| Predictive analytics and forecasting | Strong | Limited | InData Labs |
| Enterprise IT consultancy engagements with embedded AI/ML components | Limited | Strong | Sigma Software |
| Large-scale staff augmentation for AI-adjacent development | Limited | Strong | Sigma Software |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Strong | Sigma Software |
Verdict: InData Labs vs Sigma Software
InData Labs (4.4/5) is the stronger overall choice for most Machine Learning Development projects. Runs its own R&D center rather than purely project-based delivery, spanning generative AI/GPT integration through classic predictive analytics and computer vision.. It is best for companies wanting a decade-plus data science track record with in-house R&D rather than a pure project-delivery shop..
Sigma Software (3.7/5) is the better choice when large enterprises wanting a Swedish-incorporated, EU-contractable IT consultancy at significant scale, aware that its founding technical culture originates from Ukraine.. If your situation matches those criteria, Sigma Software is a competitive option.
Related comparisons
InData Labs vs Sigma Software FAQ
Is InData Labs better than Sigma Software?
InData Labs (4.4/5) scores higher overall, but "better" depends on your use case. InData Labs is better for companies wanting a decade-plus data science track record with in-house R&D rather than a pure project-delivery shop.. Sigma Software is better for large enterprises wanting a Swedish-incorporated, EU-contractable IT consultancy at significant scale, aware that its founding technical culture originates from Ukraine..
How do InData Labs and Sigma Software differ in pricing?
InData Labs uses fixed project, time & materials pricing with a minimum engagement of Not published. Sigma Software uses dedicated team, staff augmentation, fixed project pricing with a minimum engagement of Not published (enterprise-scale). 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?
Sigma Software 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 InData Labs and Sigma Software?
InData Labs's primary differentiator is: runs its own r&d center rather than purely project-based delivery, spanning generative ai/gpt integration through classic predictive analytics and computer vision.. Sigma Software's primary differentiator is: 60% owned by the swedish sigma group since 2006, giving sigma software a swedish corporate parent and legal entity while its founding engineering culture and historical delivery base trace to kharkiv, ukraine.. They also differ in team size (80+ vs 2,100+), minimum engagement (Not published vs Not published (enterprise-scale)), and primary industries served (Cross-industry, Predictive Analytics vs Cross-industry enterprise IT).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.