Addepto vs Grid Dynamics: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (4.4/5) edges ahead of Grid Dynamics (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.. Grid Dynamics is the stronger option for fortune 1000 companies wanting the financial transparency and scale of a publicly traded ML engineering partner.. The right choice depends on your project size, budget, and required tech stack.
Addepto vs Grid Dynamics: head-to-head summary
| Criterion | Addepto | Grid Dynamics |
|---|---|---|
| Founded | 2018 | 2006 |
| HQ | Warsaw, Poland | San Ramon, USA |
| Team size | 51–200 | 1,001–5,000 |
| 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. | Fortune 1000 companies wanting the financial transparency and scale of a publicly traded ML engineering partner. |
| Pricing model | Project-based | Not published; enterprise custom SOWs |
| Min. engagement | $10,000 | Not published |
| Primary tech stack | Python, MLOps tooling, Cloud ML platforms (AWS/GCP/Azure) | Microsoft Azure (AI/ML Advanced Specialization), Python, Kubernetes |
| Industries served | Finance, Healthcare, Retail | Retail, Pharmaceuticals, Technology, Financial services |
Addepto vs Grid Dynamics: 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.
Grid Dynamics
Grid Dynamics Holdings, Inc. was founded in 2006 in Silicon Valley by Victoria Livschitz and went public via a SPAC merger with ChaSerg Technology Acquisition Corp in March 2020, trading on NASDAQ under GDYN. The company reports approximately 5,000 technical professionals delivering MLOps, generative and agentic AI, data platform engineering, recommendation engines, and computer vision work for Fortune 1000 clients, with delivery centers spanning 19 countries. Grid Dynamics holds Microsoft Azure AI/ML Advanced Specialization certification and reported FY2025 revenue of $411.8 million, up 17.5 percent year over year.
Services and capabilities: Addepto vs Grid Dynamics
| Capability | Addepto | Grid Dynamics |
|---|---|---|
| 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 Grid Dynamics
| Framework / platform | Addepto | Grid Dynamics |
|---|---|---|
| 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 | ✓ |
| Kubernetes | N/A | ✓ |
| Snowflake | N/A | N/A |
| NVIDIA | N/A | N/A |
Pricing comparison: Addepto vs Grid Dynamics
| Criterion | Addepto | Grid Dynamics |
|---|---|---|
| Minimum engagement | $10,000 | Not published |
| Engagement models | Fixed project, Advisory/consulting retainer | Enterprise project engagement, Managed AI services |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Addepto vs Grid Dynamics
| Dimension | Addepto | Grid Dynamics |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Finance, Healthcare, Retail | Retail, Pharmaceuticals, Technology |
| Best use cases | Auditing an existing ML pipeline and recommending MLOps improvements, Running a well-scoped, budget-constrained machine learning pilot | Fortune 1000 companies needing an audited, publicly accountable ML engineering vendor, Building recommendation engines or customer intelligence models at large retail/pharma scale |
| Typical project type | Fixed project | Enterprise project engagement |
Addepto vs Grid Dynamics: 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. |
| Grid Dynamics | |
|---|---|
| + | Publicly traded status (NASDAQ: GDYN) provides audited financial transparency uncommon among private peers. |
| + | Reported FY2025 revenue of $411.8M with 17.5% year-over-year growth signals strong momentum. |
| + | Microsoft Azure Advanced Specialization certification in AI/ML. |
| + | Large delivery footprint (~5,000 technical professionals across 19 countries). |
| - | Enterprise-only focus makes it a poor fit for small or mid-market buyers. |
| - | No clearly located aggregate Clutch/G2 star rating in available public sources. |
| - | Pricing model and minimum engagement are not published (custom SOW-based). |
| - | Named, quantified public case studies (beyond a general pharma recommendation-engine example) 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 Grid Dynamics?
Grid Dynamics is the right choice for fortune 1000 companies wanting the financial transparency and scale of a publicly traded ML engineering partner..
The only publicly traded company (NASDAQ: GDYN) in this comparison among the mid-to-large tier, giving buyers audited financial transparency unavailable from private peers.. Minimum engagement starts at Not published. Works best with clients in Retail, Pharmaceuticals, Technology, Financial services.
Decision matrix: Addepto vs Grid Dynamics
| 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 Grid Dynamics (Not published) |
| You need specialist depth in a specific vertical | Grid Dynamics |
| 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 Grid Dynamics
| Use case | Addepto fit | Grid Dynamics 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 |
| Fortune 1000 companies needing an audited, publicly accountable ML engineering vendor | Limited | Strong | Grid Dynamics |
| Building recommendation engines or customer intelligence models at large retail/pharma scale | Limited | Strong | Grid Dynamics |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Strong | Strong | Both equally |
Verdict: Addepto vs Grid Dynamics
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..
Grid Dynamics (4.0/5) is the better choice when fortune 1000 companies wanting the financial transparency and scale of a publicly traded ML engineering partner.. If your situation matches those criteria, Grid Dynamics is a competitive option.
Related comparisons
Addepto vs Grid Dynamics FAQ
Is Addepto better than Grid Dynamics?
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.. Grid Dynamics is better for fortune 1000 companies wanting the financial transparency and scale of a publicly traded ML engineering partner..
How do Addepto and Grid Dynamics differ in pricing?
Addepto uses project-based pricing with a minimum engagement of $10,000. Grid Dynamics uses not published; enterprise custom sows 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 Grid Dynamics?
Grid Dynamics 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 Grid Dynamics?
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.. Grid Dynamics's primary differentiator is: the only publicly traded company (nasdaq: gdyn) in this comparison among the mid-to-large tier, giving buyers audited financial transparency unavailable from private peers.. 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, Pharmaceuticals).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.