Addepto vs Tredence: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (4.4/5) edges ahead of Tredence (4.2/5) overall. Addepto is the better choice for cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build.. 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.
Addepto vs Tredence: head-to-head summary
| Criterion | Addepto | Tredence |
|---|---|---|
| Founded | 2018 | 2013 |
| HQ | Warsaw, Poland | San Jose, USA |
| Team size | 51–200 | 1,001–5,000 |
| Rating | 4.4 / 5 | 4.2 / 5 |
| Best for | Cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build. | Enterprises needing vertical-specific analytics and ML applied to supply chain or customer-analytics problems at scale. |
| Pricing model | Project-based | Not published; enterprise project engagements |
| Min. engagement | $10,000 | Not published |
| Primary tech stack | Python, MLOps tooling, Cloud ML platforms (AWS/GCP/Azure) | Python, Cloud ML platforms (AWS/Azure/GCP), Data warehouse/pipeline tooling |
| Industries served | Finance, Healthcare, Retail | Retail/CPG, Supply chain, Financial services |
Addepto vs Tredence: overview
Addepto
Addepto is a Poland-based AI consulting firm founded in 2018 by Artur Haponik and Edwin Lisowski that focuses specifically on machine learning consulting, MLOps consulting, and data/analytics advisory work rather than broader software development. The company has around 52 employees and holds a 4.7 Clutch rating, with Clutch-reported project costs typically in the $10,000–$49,000 range, making it one of the more budget-accessible options among firms in this category. Addepto has been recognized among Forbes' top AI consulting companies and appeared on the Deloitte Technology Fast 500 EMEA list, citing 1,193 percent revenue growth over the qualifying period. In December 2025, Addepto was acquired by KMS Technology, a US-based digital engineering, data, and AI company backed by growth private equity firm Sunstone Partners; Addepto now operates as an integrated division rather than as a fully independent company.
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: Addepto vs Tredence
| Capability | Addepto | 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: Addepto vs Tredence
| Framework / platform | Addepto | 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 | N/A |
| Snowflake | N/A | N/A |
| NVIDIA | N/A | N/A |
Pricing comparison: Addepto vs Tredence
| Criterion | Addepto | Tredence |
|---|---|---|
| Minimum engagement | $10,000 | Not published |
| Engagement models | Fixed project, Advisory/consulting retainer | Enterprise project engagement, Dedicated team |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Addepto vs Tredence
| Dimension | Addepto | Tredence |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Finance, Healthcare, Retail | Retail/CPG, Supply chain, Financial services |
| Best use cases | Auditing an existing ML pipeline and recommending MLOps improvements, Running a well-scoped, budget-constrained machine learning pilot | 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 | Fixed project | Enterprise project engagement |
Addepto vs Tredence: pros and cons
| Addepto | |
|---|---|
| + | 4.7 Clutch rating with lower typical project cost ($10K–$49K) than most peers in this comparison. |
| + | Named a top 10 AI consulting company by Forbes. |
| + | Deloitte Technology Fast 500 EMEA recognition (#143) signals strong recent revenue growth. |
| + | Focused specifically on ML/MLOps consulting rather than diluting attention across general software development. |
| - | Small team (~52 employees) caps capacity for large or multiple concurrent enterprise engagements. |
| - | Lower typical project size may signal a fit for smaller-scope work rather than large production ML platforms. |
| - | Public case studies with named enterprise clients are limited in available sources. |
| - | Now part of KMS Technology following the December 2025 acquisition, introducing near-term integration and roadmap uncertainty for prospective clients. |
| 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 Addepto?
Addepto is the right choice for cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build..
Dedicated MLOps-consulting service line and Clutch-reported project pricing well below several peers in this list, making it the more budget-accessible option.. Minimum engagement starts at $10,000. Works best with clients in Finance, Healthcare, Retail.
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: Addepto vs Tredence
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Addepto |
| You need a large dedicated team for an ongoing programme | Tredence |
| Your budget is at the lower end | Compare: Addepto ($10,000) vs Tredence (Not published) |
| You need specialist depth in a specific vertical | Addepto |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Addepto |
Use case fit: Addepto vs Tredence
| Use case | Addepto fit | Tredence fit | Winner |
|---|---|---|---|
| Auditing an existing ML pipeline and recommending MLOps improvements | Strong | Limited | Addepto |
| Running a well-scoped, budget-constrained machine learning pilot | Strong | Strong | Both equally |
| Building demand forecasting or inventory optimization models for supply chain operations | Limited | Strong | Tredence |
| Developing customer analytics and personalization models for retail or CPG brands | Limited | Strong | Tredence |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Strong | Limited | Addepto |
Verdict: Addepto vs Tredence
Addepto (4.4/5) is the stronger overall choice for most ML Model Development projects. Dedicated MLOps-consulting service line and Clutch-reported project pricing well below several peers in this list, making it the more budget-accessible option.. It is best for cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build..
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
Addepto vs Tredence FAQ
Is Addepto better than Tredence?
Addepto (4.4/5) scores higher overall, but "better" depends on your use case. Addepto is better for cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build.. Tredence is better for enterprises needing vertical-specific analytics and ML applied to supply chain or customer-analytics problems at scale..
How do Addepto and Tredence differ in pricing?
Addepto uses project-based pricing with a minimum engagement of $10,000. 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: Addepto 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 Addepto and Tredence?
Addepto's primary differentiator is: dedicated mlops-consulting service line and clutch-reported project pricing well below several peers in this list, making it the more budget-accessible option.. 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 (51–200 vs 1,001–5,000), minimum engagement ($10,000 vs Not published), and primary industries served (Finance, Healthcare vs Retail/CPG, Supply chain).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.