MobiDev vs Tredence: full comparison for 2026
Last updated: July 2026
Quick verdict
MobiDev (4.3/5) edges ahead of Tredence (4.2/5) overall. MobiDev is the better choice for small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner.. Tredence is the stronger option for enterprises needing vertical-specific analytics and ML applied to supply chain or customer-analytics problems at scale.. The right choice depends on your project size, budget, and required tech stack.
MobiDev vs Tredence: head-to-head summary
| Criterion | MobiDev | Tredence |
|---|---|---|
| Founded | 2009 | 2013 |
| HQ | Norcross, USA (delivery centers: Lodz, Poland and Chernivtsi, Ukraine) | San Jose, USA |
| Team size | 201–500 | 1,001–5,000 |
| Rating | 4.3 / 5 | 4.2 / 5 |
| Best for | Small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner. | Enterprises needing vertical-specific analytics and ML applied to supply chain or customer-analytics problems at scale. |
| Pricing model | Time & Material, Fixed project | Not published; enterprise project engagements |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Computer vision frameworks, Cloud ML platforms | Python, Cloud ML platforms (AWS/Azure/GCP), Data warehouse/pipeline tooling |
| Industries served | Healthcare, Retail, Manufacturing, Media | Retail/CPG, Supply chain, Financial services |
MobiDev vs Tredence: overview
MobiDev
MobiDev is a software development and consulting company founded in 2009, with business units in Norcross, Georgia (US) and Sheffield (UK), and R&D delivery centers in Lodz, Poland and Chernivtsi, Ukraine staffed by more than 400 engineers. Its consulting services span data science, machine learning, augmented reality, IoT, and DevOps, aimed at small and medium-sized companies rather than large enterprises. The company reports a 100 percent project success rate on Upwork and was named the #1 machine learning development company by Clutch in 2021.
Tredence
Tredence is a data science and analytics consultancy founded in 2013 by Sumit Mehra, Shub Bhowmick, and Shashank Dubey, headquartered in San Jose, California, with additional offices in Chicago, Riyadh, London, Toronto, and Bengaluru. The company has raised a reported $205 million in Series B funding and reports more than 4,200 employees globally. Its practice spans AI consulting, supply chain analytics, and customer analytics, applying machine learning models to specific vertical business problems at enterprise scale.
Services and capabilities: MobiDev vs Tredence
| Capability | MobiDev | Tredence |
|---|---|---|
| Custom model training | ✓ | ✓ |
| Fine-tuning & adaptation | ✗ | ✗ |
| MLOps pipeline | ✗ | ✓ |
| Model deployment & serving | ✗ | ✗ |
| Data engineering for ML | ✓ | ✓ |
| ML infrastructure management | ✗ | ✗ |
| Computer vision | ✓ | ✗ |
| NLP & LLM development | ✗ | ✗ |
| Forecasting & time-series modeling | ✗ | ✗ |
| ML strategy consulting | ✓ | ✓ |
Tech stack comparison: MobiDev vs Tredence
| Framework / platform | MobiDev | Tredence |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| MLflow | N/A | N/A |
| AWS SageMaker | N/A | N/A |
| Amazon Bedrock | N/A | N/A |
| Google Cloud | N/A | N/A |
| Microsoft Azure | N/A | N/A |
| Kubernetes | ✓ | N/A |
| Snowflake | N/A | N/A |
| NVIDIA | N/A | N/A |
Pricing comparison: MobiDev vs Tredence
| Criterion | MobiDev | Tredence |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Time & Material, Fixed project, Dedicated team | Enterprise project engagement, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: MobiDev vs Tredence
| Dimension | MobiDev | Tredence |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Retail, Manufacturing | Retail/CPG, Supply chain, Financial services |
| Best use cases | Building a custom ML model for a small or medium-sized business without an internal data science team, Combining computer vision or ML work with broader mobile/IoT product development | Building demand forecasting or inventory optimization models for supply chain operations, Developing customer analytics and personalization models for retail or CPG brands |
| Typical project type | Time & Material | Enterprise project engagement |
MobiDev vs Tredence: pros and cons
| MobiDev | |
|---|---|
| + | Historical Clutch #1 ranking in machine learning development (2021). |
| + | 16 Clutch reviews with consistently positive delivery feedback. |
| + | Explicit focus on small/medium-sized clients, a niche underserved by larger enterprise-first firms. |
| + | Multi-country delivery footprint (Poland, Ukraine) with 400+ engineers provides meaningful bench depth. |
| - | Team-size figures vary by source (roughly 200–500), indicating some reporting inconsistency. |
| - | SME focus may mean less experience with very large, complex enterprise-scale ML platforms. |
| - | Machine learning is one of several practice areas (alongside AR, IoT) rather than the sole focus. |
| - | Minimum engagement size is not published, requiring a scoping conversation. |
| Tredence | |
|---|---|
| + | Significant venture funding ($205M) provides financial stability and growth investment relative to bootstrapped peers. |
| + | Vertical specialization in supply chain and customer analytics offers concrete domain expertise. |
| + | Global office footprint (US, Middle East, UK, Canada, India) supports multi-region enterprise clients. |
| + | Over 4,200 employees provides substantial delivery capacity for large programs. |
| - | No clearly published aggregate Clutch/G2 rating found in available sources for this research pass. |
| - | Enterprise-scale focus may be less accessible or cost-effective for small or early-stage buyers. |
| - | Pricing model and minimum engagement size are not published. |
| - | Named, quantified public case studies with client outcomes are limited in available search results. |
Who should choose MobiDev?
MobiDev is the right choice for small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner..
Historical Clutch #1 ranking for machine learning development (2021) combined with a specifically SME-oriented service model.. Minimum engagement starts at Not published. Works best with clients in Healthcare, Retail, Manufacturing, Media.
Who should choose Tredence?
Tredence is the right choice for enterprises needing vertical-specific analytics and ML applied to supply chain or customer-analytics problems at scale..
Venture-backed growth trajectory ($205M raised) with named specialization in supply chain and customer analytics rather than generic horizontal AI consulting.. Minimum engagement starts at Not published. Works best with clients in Retail/CPG, Supply chain, Financial services.
Decision matrix: MobiDev vs Tredence
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | MobiDev |
| You need a large dedicated team for an ongoing programme | MobiDev |
| Your budget is at the lower end | Compare: MobiDev (Not published) vs Tredence (Not published) |
| You need specialist depth in a specific vertical | MobiDev |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | MobiDev |
Use case fit: MobiDev vs Tredence
| Use case | MobiDev fit | Tredence fit | Winner |
|---|---|---|---|
| Building a custom ML model for a small or medium-sized business without an internal data science team | Strong | Strong | Both equally |
| Combining computer vision or ML work with broader mobile/IoT product development | Strong | Strong | Both equally |
| Building demand forecasting or inventory optimization models for supply chain operations | Strong | Strong | Both equally |
| Developing customer analytics and personalization models for retail or CPG brands | Limited | Strong | Tredence |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Limited | Limited | Both equally |
Verdict: MobiDev vs Tredence
MobiDev (4.3/5) is the stronger overall choice for most ML Model Development projects. Historical Clutch #1 ranking for machine learning development (2021) combined with a specifically SME-oriented service model.. It is best for small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner..
Tredence (4.2/5) is the better choice when enterprises needing vertical-specific analytics and ML applied to supply chain or customer-analytics problems at scale.. If your situation matches those criteria, Tredence is a competitive option.
Related comparisons
MobiDev vs Tredence FAQ
Is MobiDev better than Tredence?
MobiDev (4.3/5) scores higher overall, but "better" depends on your use case. MobiDev is better for small and mid-sized companies wanting a dedicated ML/data-science consulting arm within a broader software development partner.. Tredence is better for enterprises needing vertical-specific analytics and ML applied to supply chain or customer-analytics problems at scale..
How do MobiDev and Tredence differ in pricing?
MobiDev uses time & material, fixed project pricing with a minimum engagement of Not published. Tredence uses not published; enterprise project engagements 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: MobiDev or Tredence?
Tredence 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 MobiDev and Tredence?
MobiDev's primary differentiator is: historical clutch #1 ranking for machine learning development (2021) combined with a specifically sme-oriented service model.. Tredence's primary differentiator is: venture-backed growth trajectory ($205m raised) with named specialization in supply chain and customer analytics rather than generic horizontal ai consulting.. They also differ in team size (201–500 vs 1,001–5,000), minimum engagement (Not published vs Not published), and primary industries served (Healthcare, Retail vs Retail/CPG, Supply chain).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.