Provectus vs Softweb Solutions: full comparison for 2026
Last updated: July 2026
Quick verdict
Provectus (4.5/5) edges ahead of Softweb Solutions (3.9/5) overall. Provectus is the better choice for mid-market and enterprise buyers who want AI/ML delivery bundled with cloud and big-data engineering from one integrator.. 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.
Provectus vs Softweb Solutions: head-to-head summary
| Criterion | Provectus | Softweb Solutions |
|---|---|---|
| Founded | 2010 | 2006 |
| HQ | Palo Alto, California, USA | Plano, Texas, USA |
| Team size | 501–1,000 | 201–500 |
| Rating | 4.5 / 5 | 3.9 / 5 |
| Best for | Mid-market and enterprise buyers who want AI/ML delivery bundled with cloud and big-data engineering from one integrator. | 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 dedicated team engagements | Fixed project and managed services |
| Min. engagement | $50K | Not published |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, Azure IoT |
| Industries served | Retail, Healthcare, Financial Services, Technology/SaaS | Manufacturing, Retail, Logistics |
Provectus vs Softweb Solutions: overview
Provectus
Provectus is an AI and cloud engineering consultancy founded in 2010 by Stepan Pushkarev, headquartered in Palo Alto with 500–1,000 employees across roughly nine locations. The company positions itself as a mid-market AI-first systems integrator, combining big-data engineering, cloud engineering, and applied ML/AI practices, and holds partner status with major cloud providers (per company website; independently unverifiable exact partnership tier).
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: Provectus vs Softweb Solutions
| Capability | Provectus | 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: Provectus vs Softweb Solutions
| Framework / platform | Provectus | Softweb Solutions |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | N/A |
| Databricks | N/A | N/A |
| LangChain | N/A | N/A |
Pricing comparison: Provectus vs Softweb Solutions
| Criterion | Provectus | Softweb Solutions |
|---|---|---|
| Minimum engagement | $50K | Not published |
| Engagement models | Fixed project, Dedicated team | Fixed project, Managed services |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Enterprise / not published |
Target audience comparison: Provectus vs Softweb Solutions
| Dimension | Provectus | Softweb Solutions |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Retail, Healthcare, Financial Services | Manufacturing, Retail, Logistics |
| Best use cases | Consolidating a fragmented cloud + data + ML stack under one delivery partner, Standing up a big-data platform that feeds downstream ML models | 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 |
Provectus vs Softweb Solutions: pros and cons
| Provectus | |
|---|---|
| + | 15 years of continuous operation gives a longer delivery track record than most boutiques on this list |
| + | Combines data engineering and MLOps with model development, reducing hand-off friction between teams |
| + | 500–1,000 employee scale supports multiple concurrent enterprise workstreams |
| + | Established cloud-provider relationships support production deployment at scale |
| - | Broader systems-integrator scope means ML-specialist depth is spread across cloud and data-engineering practices rather than singularly focused |
| - | Mid-market pricing and minimums put it out of reach for very small pilot projects |
| - | Public reporting on exact current headcount varies by source (500–1,000 vs. ~700), so buyers should confirm team size directly |
| 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 Provectus?
Provectus is the right choice for mid-market and enterprise buyers who want AI/ML delivery bundled with cloud and big-data engineering from one integrator..
Combines AI/ML delivery with cloud and big-data engineering as a single integrated systems-integrator practice.. Minimum engagement starts at $50K. Works best with clients in Retail, Healthcare, Financial Services, Technology/SaaS.
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: Provectus vs Softweb Solutions
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Provectus |
| You need a large dedicated team for an ongoing programme | Provectus |
| Your budget is at the lower end | Compare: Provectus ($50K) vs Softweb Solutions (Not published) |
| You need specialist depth in a specific vertical | Provectus |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Provectus |
Use case fit: Provectus vs Softweb Solutions
| Use case | Provectus fit | Softweb Solutions fit | Winner |
|---|---|---|---|
| Consolidating a fragmented cloud + data + ML stack under one delivery partner | Strong | Limited | Provectus |
| Standing up a big-data platform that feeds downstream ML models | Strong | Limited | Provectus |
| 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 | Limited | Strong | Softweb Solutions |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Provectus vs Softweb Solutions
Provectus (4.5/5) is the stronger overall choice for most Machine Learning Development projects. Combines AI/ML delivery with cloud and big-data engineering as a single integrated systems-integrator practice.. It is best for mid-market and enterprise buyers who want AI/ML delivery bundled with cloud and big-data engineering from one integrator..
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
Provectus vs Softweb Solutions FAQ
Is Provectus better than Softweb Solutions?
Provectus (4.5/5) scores higher overall, but "better" depends on your use case. Provectus is better for mid-market and enterprise buyers who want AI/ML delivery bundled with cloud and big-data engineering from one integrator.. 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 Provectus and Softweb Solutions differ in pricing?
Provectus uses fixed project and dedicated team engagements pricing with a minimum engagement of $50K. 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: Provectus or Softweb Solutions?
Provectus 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 Provectus and Softweb Solutions?
Provectus's primary differentiator is: combines ai/ml delivery with cloud and big-data engineering as a single integrated systems-integrator practice.. 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 (501–1,000 vs 201–500), minimum engagement ($50K vs Not published), and primary industries served (Retail, Healthcare vs Manufacturing, Retail).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.