ScienceSoft vs Softweb Solutions: full comparison for 2026
Last updated: July 2026
Quick verdict
ScienceSoft (3.9/5) edges ahead of Softweb Solutions (3.9/5) overall. ScienceSoft is the better choice for companies wanting AI/ML delivered by a long-established generalist IT consultancy already handling other IT needs.. 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.
ScienceSoft vs Softweb Solutions: head-to-head summary
| Criterion | ScienceSoft | Softweb Solutions |
|---|---|---|
| Founded | 1989 | 2006 |
| HQ | McKinney, Texas, USA | Plano, Texas, USA |
| Team size | 501–1,000 | 201–500 |
| Rating | 3.9 / 5 | 3.9 / 5 |
| Best for | Companies wanting AI/ML delivered by a long-established generalist IT consultancy already handling other IT needs. | 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 | Not published | Not published |
| Primary tech stack | Python, TensorFlow, AWS | Python, TensorFlow, Azure IoT |
| Industries served | Healthcare, Retail, Financial Services, Manufacturing | Manufacturing, Retail, Logistics |
ScienceSoft vs Softweb Solutions: overview
ScienceSoft
ScienceSoft is an IT consulting and software development company founded in 1989, headquartered in McKinney, Texas, with additional offices in Europe, the UAE, and Vietnam. The firm reports more than 750 IT professionals and over 3,600 delivered projects across its 36-year history, with AI/ML positioned as one core service area among IT strategy consulting, cloud, cybersecurity, and quality assurance.
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: ScienceSoft vs Softweb Solutions
| Capability | ScienceSoft | 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: ScienceSoft vs Softweb Solutions
| Framework / platform | ScienceSoft | Softweb Solutions |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | N/A | 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: ScienceSoft vs Softweb Solutions
| Criterion | ScienceSoft | Softweb Solutions |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Time & Material | Fixed project, Managed services |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / not published | Enterprise / not published |
Target audience comparison: ScienceSoft vs Softweb Solutions
| Dimension | ScienceSoft | Softweb Solutions |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Healthcare, Retail, Financial Services | Manufacturing, Retail, Logistics |
| Best use cases | Companies wanting AI/ML bundled with existing cloud, QA, or cybersecurity work from a single long-established vendor, Healthcare or manufacturing clients needing broad IT consulting plus a specific ML/AI component | 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 |
ScienceSoft vs Softweb Solutions: pros and cons
| ScienceSoft | |
|---|---|
| + | 36 years of continuous operation and 3,600+ delivered projects (per company website) among the longest track records reviewed here |
| + | Over half of staff cited as senior-level specialists (per company website) |
| + | Broad IT service catalog means AI/ML can be bundled with cloud, security, or QA from the same vendor |
| + | Multi-region office presence (Europe, UAE, Vietnam) beyond the US HQ |
| - | AI/ML is one of several core services (alongside cloud, cybersecurity, QA) rather than the firm's defining specialty |
| - | Less AI-first branding or ML-specific certification profile than boutique AI consultancies on this list |
| - | Minimum engagement size not publicly disclosed |
| 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 ScienceSoft?
ScienceSoft is the right choice for companies wanting AI/ML delivered by a long-established generalist IT consultancy already handling other IT needs..
36 years of continuous IT consulting history, one of the longest track records among firms on this list.. Minimum engagement starts at Not published. Works best with clients in Healthcare, Retail, Financial Services, Manufacturing.
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: ScienceSoft vs Softweb Solutions
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | ScienceSoft |
| You need a large dedicated team for an ongoing programme | Check each company's engagement model |
| Your budget is at the lower end | Compare: ScienceSoft (Not published) vs Softweb Solutions (Not published) |
| You need specialist depth in a specific vertical | ScienceSoft |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | ScienceSoft |
Use case fit: ScienceSoft vs Softweb Solutions
| Use case | ScienceSoft fit | Softweb Solutions fit | Winner |
|---|---|---|---|
| Companies wanting AI/ML bundled with existing cloud, QA, or cybersecurity work from a single long-established vendor | Strong | Strong | Both equally |
| Healthcare or manufacturing clients needing broad IT consulting plus a specific ML/AI component | Strong | Limited | ScienceSoft |
| Manufacturing or logistics clients needing AI models tied to IoT sensor data | Strong | Strong | Both equally |
| 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: ScienceSoft vs Softweb Solutions
ScienceSoft (3.9/5) is the stronger overall choice for most Machine Learning Development projects. 36 years of continuous IT consulting history, one of the longest track records among firms on this list.. It is best for companies wanting AI/ML delivered by a long-established generalist IT consultancy already handling other IT needs..
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
ScienceSoft vs Softweb Solutions FAQ
Is ScienceSoft better than Softweb Solutions?
ScienceSoft (3.9/5) scores higher overall, but "better" depends on your use case. ScienceSoft is better for companies wanting AI/ML delivered by a long-established generalist IT consultancy already handling other IT needs.. 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 ScienceSoft and Softweb Solutions differ in pricing?
ScienceSoft uses fixed project and time & material pricing with a minimum engagement of Not published. 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: ScienceSoft or Softweb Solutions?
ScienceSoft 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 ScienceSoft and Softweb Solutions?
ScienceSoft's primary differentiator is: 36 years of continuous it consulting history, one of the longest track records among firms on this list.. 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 (Not published vs Not published), and primary industries served (Healthcare, Retail vs Manufacturing, Retail).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.