Addepto vs Aptus Data Labs: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (4.4/5) edges ahead of Aptus Data Labs (4.0/5) 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.. Aptus Data Labs is the stronger option for companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth.. The right choice depends on your project size, budget, and required tech stack.
Addepto vs Aptus Data Labs: head-to-head summary
| Criterion | Addepto | Aptus Data Labs |
|---|---|---|
| Founded | 2018 | 2014 |
| HQ | Warsaw, Poland | Bengaluru, India |
| Team size | 51–200 | 51–200 |
| Rating | 4.4 / 5 | 4.0 / 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. | Companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth. |
| Pricing model | Project-based | Not published; project-based |
| Min. engagement | $10,000 | Not published |
| Primary tech stack | Python, MLOps tooling, Cloud ML platforms (AWS/GCP/Azure) | AWS AI services, Python, Data engineering/analytics tooling |
| Industries served | Finance, Healthcare, Retail | Enterprise (cross-industry), Financial services |
Addepto vs Aptus Data Labs: 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.
Aptus Data Labs
Aptus Data Labs is a data engineering and advanced analytics company founded in 2014 in Bangalore by Ravindra Swamy and Samir Kumar Sahoo. The company offers analytical solutions and consulting services aimed at helping businesses make data-driven decisions, with a practice that spans cloud solutions and AWS AI services alongside core data engineering. Reported employee counts vary across sources from roughly 45 to a few hundred, positioning it as a smaller boutique analytics firm rather than a large-scale delivery organization.
Services and capabilities: Addepto vs Aptus Data Labs
| Capability | Addepto | Aptus Data Labs |
|---|---|---|
| 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 Aptus Data Labs
| Framework / platform | Addepto | Aptus Data Labs |
|---|---|---|
| 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 Aptus Data Labs
| Criterion | Addepto | Aptus Data Labs |
|---|---|---|
| Minimum engagement | $10,000 | Not published |
| Engagement models | Fixed project, Advisory/consulting retainer | Fixed project, Consulting engagement |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Addepto vs Aptus Data Labs
| Dimension | Addepto | Aptus Data Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Finance, Healthcare, Retail | Enterprise (cross-industry), Financial services |
| Best use cases | Auditing an existing ML pipeline and recommending MLOps improvements, Running a well-scoped, budget-constrained machine learning pilot | Building AWS-native data engineering pipelines to support downstream ML models, Running a focused analytics consulting engagement for a mid-market Indian or global company |
| Typical project type | Fixed project | Fixed project |
Addepto vs Aptus Data Labs: 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. |
| Aptus Data Labs | |
|---|---|
| + | Decade-plus operating history as a focused data engineering and analytics boutique. |
| + | Specific AWS AI services expertise adds credibility for AWS-standardized buyers. |
| + | Founder-led with stable leadership since 2014. |
| + | Boutique size may offer more attentive, senior-level engagement than larger firms. |
| - | Employee count estimates vary widely across sources, creating uncertainty about actual delivery capacity. |
| - | Public, named case studies with quantified ML outcomes are limited in available sources. |
| - | No clearly located aggregate Clutch/G2 star rating in available public sources. |
| - | Smaller scale limits suitability for very large, multi-region enterprise programs. |
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 Aptus Data Labs?
Aptus Data Labs is the right choice for companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth..
Combines core data engineering consulting with specific AWS AI service implementation expertise in a boutique-sized team.. Minimum engagement starts at Not published. Works best with clients in Enterprise (cross-industry), Financial services.
Decision matrix: Addepto vs Aptus Data Labs
| 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 | Check each company's engagement model |
| Your budget is at the lower end | Compare: Addepto ($10,000) vs Aptus Data Labs (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 Aptus Data Labs
| Use case | Addepto fit | Aptus Data Labs 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 AWS-native data engineering pipelines to support downstream ML models | Limited | Strong | Aptus Data Labs |
| Running a focused analytics consulting engagement for a mid-market Indian or global company | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Strong | Limited | Addepto |
Verdict: Addepto vs Aptus Data Labs
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..
Aptus Data Labs (4.0/5) is the better choice when companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth.. If your situation matches those criteria, Aptus Data Labs is a competitive option.
Related comparisons
Addepto vs Aptus Data Labs FAQ
Is Addepto better than Aptus Data Labs?
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.. Aptus Data Labs is better for companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth..
How do Addepto and Aptus Data Labs differ in pricing?
Addepto uses project-based pricing with a minimum engagement of $10,000. Aptus Data Labs uses not published; project-based 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 Aptus Data Labs?
Addepto 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 Aptus Data Labs?
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.. Aptus Data Labs's primary differentiator is: combines core data engineering consulting with specific aws ai service implementation expertise in a boutique-sized team.. They also differ in team size (51–200 vs 51–200), minimum engagement ($10,000 vs Not published), and primary industries served (Finance, Healthcare vs Enterprise (cross-industry), Financial services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.