InData Labs vs Softweb Solutions: full comparison for 2026
Last updated: July 2026
Quick verdict
InData Labs (4.5/5) edges ahead of Softweb Solutions (3.9/5) 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.. Softweb Solutions is the stronger option for companies needing AI/ML specifically paired with IoT sensor data and device deployment, backed by Avnet's hardware supply chain.. The right choice depends on your project size, budget, and required tech stack.
InData Labs vs Softweb Solutions: head-to-head summary
| Criterion | InData Labs | Softweb Solutions |
|---|---|---|
| Founded | 2014 | 2006 |
| HQ | Nicosia, Cyprus | Plano, Texas, USA |
| Team size | 51–200 | 201–500 |
| Rating | 4.5 / 5 | 3.9 / 5 |
| Best for | Fintech, healthcare, and SaaS companies wanting a specialist data-science boutique rather than a generalist software vendor. | Companies needing AI/ML specifically paired with IoT sensor data and device deployment, backed by Avnet's hardware supply chain. |
| Pricing model | Fixed project and Time & Material | Fixed project and managed services |
| Min. engagement | $20K | Not published |
| Primary tech stack | Python, Scikit-learn, TensorFlow | Python, TensorFlow, Azure IoT |
| Industries served | FinTech, Healthcare, Technology/SaaS, Retail, Logistics | Manufacturing, Retail, Logistics |
InData Labs vs Softweb Solutions: 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.
Softweb Solutions
Softweb Solutions is an AI and IoT-focused digital transformation company founded in 2006 (some sources cite 2004), headquartered in Plano, Texas, with additional offices in Chicago, Dallas, and Ahmedabad, India. The company was acquired by global electronics distributor Avnet in December 2018 and now operates as 'Softweb Solutions — An Avnet Company,' building AI models for image classification, intelligent forecasting, and IoT scenario detection alongside broader data and digital transformation services.
Services and capabilities: InData Labs vs Softweb Solutions
| Capability | InData Labs | Softweb Solutions |
|---|---|---|
| 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 Softweb Solutions
| Framework / platform | InData Labs | Softweb Solutions |
|---|---|---|
| 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 Softweb Solutions
| Criterion | InData Labs | Softweb Solutions |
|---|---|---|
| Minimum engagement | $20K | Not published |
| Engagement models | Fixed project, Time & Material | Fixed project, Managed services |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Enterprise / not published |
Target audience comparison: InData Labs vs Softweb Solutions
| Dimension | InData Labs | Softweb Solutions |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Healthcare, Technology/SaaS | Manufacturing, Retail, Logistics |
| 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 | Manufacturing or logistics clients needing AI models tied to IoT sensor data, Retail computer-vision projects such as image classification or shelf monitoring |
| Typical project type | Fixed project | Fixed project |
InData Labs vs Softweb Solutions: 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 |
| Softweb Solutions | |
|---|---|
| + | Ownership by Avnet (since December 2018) gives direct proximity to hardware and electronics supply chains for IoT-linked AI projects |
| + | Nearly two decades of operating history combining AI and IoT delivery |
| + | Named use cases in image classification and intelligent forecasting show concrete applied AI/ML work |
| + | Multi-country office presence (US, India) supports cost-flexible delivery |
| - | Acquired by Avnet in 2018 — the company now operates as a subsidiary rather than an independent AI consultancy, which can affect contracting flexibility |
| - | Public sources disagree on both founding year (2004 vs. 2006) and employee count (201–500 vs. 501–1,000) |
| - | IoT-centric positioning may be less suited to buyers wanting purely software-based ML with no hardware/device component |
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 Softweb Solutions?
Softweb Solutions is the right choice for companies needing AI/ML specifically paired with IoT sensor data and device deployment, backed by Avnet's hardware supply chain..
Backed by Avnet, a global electronics distributor, giving unusual hardware/IoT supply-chain proximity for AI-on-device projects.. Minimum engagement starts at Not published. Works best with clients in Manufacturing, Retail, Logistics.
Decision matrix: InData Labs vs Softweb Solutions
| 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 | Check each company's engagement model |
| Your budget is at the lower end | Compare: InData Labs ($20K) vs Softweb Solutions (Not published) |
| 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 | InData Labs |
Use case fit: InData Labs vs Softweb Solutions
| Use case | InData Labs fit | Softweb Solutions 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 |
| Manufacturing or logistics clients needing AI models tied to IoT sensor data | Limited | Strong | Softweb Solutions |
| Retail computer-vision projects such as image classification or shelf monitoring | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: InData Labs vs Softweb Solutions
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..
Softweb Solutions (3.9/5) is the better choice when companies needing AI/ML specifically paired with IoT sensor data and device deployment, backed by Avnet's hardware supply chain.. If your situation matches those criteria, Softweb Solutions is a competitive option.
Related comparisons
InData Labs vs Softweb Solutions FAQ
Is InData Labs better than Softweb Solutions?
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.. Softweb Solutions is better for companies needing AI/ML specifically paired with IoT sensor data and device deployment, backed by Avnet's hardware supply chain..
How do InData Labs and Softweb Solutions differ in pricing?
InData Labs uses fixed project and time & material pricing with a minimum engagement of $20K. Softweb Solutions uses fixed project and managed services 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 Softweb Solutions?
Softweb Solutions 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 Softweb Solutions?
InData Labs's primary differentiator is: dedicated in-house r&d center focused specifically on data science and ai rather than broad software outsourcing.. Softweb Solutions's primary differentiator is: backed by avnet, a global electronics distributor, giving unusual hardware/iot supply-chain proximity for ai-on-device projects.. They also differ in team size (51–200 vs 201–500), minimum engagement ($20K vs Not published), and primary industries served (FinTech, Healthcare vs Manufacturing, Retail).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.