Grid Dynamics vs Addepto: full comparison for 2026
Last updated: July 2026
Quick verdict
Grid Dynamics (4.4/5) edges ahead of Addepto (4.3/5) overall. Grid Dynamics is the better choice for fortune 1000 enterprises that need public-company financial transparency and large-scale delivery capacity for ML/AI programs.. Addepto is the stronger option for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk.. The right choice depends on your project size, budget, and required tech stack.
Grid Dynamics vs Addepto: head-to-head summary
| Criterion | Grid Dynamics | Addepto |
|---|---|---|
| Founded | 2006 | 2018 |
| HQ | San Ramon, California, United States | Warsaw, Poland |
| Team size | 4,500+ | 50–100 |
| Rating | 4.4 / 5 | 4.3 / 5 |
| Best for | Fortune 1000 enterprises that need public-company financial transparency and large-scale delivery capacity for ML/AI programs. | Companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk. |
| Pricing model | Time & materials, managed engagement | Project-based, consulting retainer |
| Min. engagement | Not published | Not published |
| Primary tech stack | AWS SageMaker, Kubernetes, Apache Spark | Python, TensorFlow, AWS |
| Industries served | Retail & E-commerce, Manufacturing, Insurance, Media & Entertainment, Telecom | FinTech, Manufacturing, Retail & E-commerce |
Grid Dynamics vs Addepto: overview
Grid Dynamics
Grid Dynamics Holdings, Inc. (Nasdaq: GDYN) was founded in 2006 in Silicon Valley by Leonard Livschitz and is headquartered in San Ramon, California, with roughly 4,500–5,000 technical professionals across 19 countries. The company delivers enterprise AI/ML and data platform engineering alongside cloud-native engineering, serving Fortune 1000 clients in retail, manufacturing, insurance, wealth management, and life sciences. As a publicly traded company, Grid Dynamics carries a higher compliance and financial-transparency bar than most privately held firms in this list, at the cost of boutique-level personalization.
Addepto
Addepto was founded in Warsaw in 2018 by Data Science enthusiasts Edwin Lisowski and Artur Haponik, delivering AI consulting and data-driven solutions recognized by Forbes, Deloitte, and the Financial Times. In December 2025, Addepto was acquired by KMS Technology, and prospective clients should confirm how delivery teams, pricing, and leadership continuity have changed post-acquisition. Reported employee counts vary from roughly 11–50 to 72, reflecting the transition period around the acquisition.
Services and capabilities: Grid Dynamics vs Addepto
| Capability | Grid Dynamics | Addepto |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✓ | ✗ |
| Generative AI | ✓ | ✓ |
| AI Consulting | ✗ | ✓ |
Tech stack comparison: Grid Dynamics vs Addepto
| Framework / platform | Grid Dynamics | Addepto |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Google Cloud | N/A | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: Grid Dynamics vs Addepto
| Criterion | Grid Dynamics | Addepto |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Managed engagement, Staff augmentation | Project-based, Consulting retainer |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Grid Dynamics vs Addepto
| Dimension | Grid Dynamics | Addepto |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail & E-commerce, Manufacturing, Insurance | FinTech, Manufacturing, Retail & E-commerce |
| Best use cases | Fortune 1000 retailer needs an enterprise-scale ML/data platform overhaul with public-company accountability., Insurance or wealth management firm needs a vendor with SEC-level financial transparency for procurement due diligence. | Company wants an AI consultancy with independent press recognition for vendor due diligence., Client is comfortable evaluating a firm mid-acquisition and confirming continuity directly before signing. |
| Typical project type | Dedicated team | Project-based |
Grid Dynamics vs Addepto: pros and cons
| Grid Dynamics | |
|---|---|
| + | Publicly traded (Nasdaq: GDYN) status means audited financials and SEC disclosure are available to prospective clients — a rare transparency level in this list. |
| + | ~4,500 technical professionals across 19 countries gives it the delivery capacity for large, multi-workstream Fortune 1000 programs. |
| + | 18 years of enterprise engineering experience since 2006, well before the current AI hiring wave. |
| + | Combines cloud-native and AI/ML engineering under one roof, reducing multi-vendor coordination for large programs. |
| - | At ~4,500 employees, engagements are structured around managed delivery teams rather than boutique-style founder involvement. |
| - | Public-company overhead and scale generally mean higher minimum program sizes than smaller specialist firms. |
| Addepto | |
|---|---|
| + | Press recognition from Forbes, Deloitte, and the Financial Times provides independent third-party validation beyond client testimonials. |
| + | Founder-led AI consulting model since 2018, prior to being acquired. |
| + | Now backed by KMS Technology's broader resources post-acquisition, which may add delivery capacity. |
| - | Acquired by KMS Technology in December 2025 — leadership continuity, pricing, and delivery-team stability during integration are unconfirmed. |
| - | Reported headcount varies significantly across sources (11–50 vs. 72), making current team size hard to pin down. |
| - | Recent acquisition means the company's standalone track record may not reflect how engagements are run going forward. |
Who should choose Grid Dynamics?
Grid Dynamics is the right choice for fortune 1000 enterprises that need public-company financial transparency and large-scale delivery capacity for ML/AI programs..
Nasdaq-listed enterprise AI engineering firm with public financial reporting and Fortune 1000 client base.. Minimum engagement starts at Not published. Works best with clients in Retail & E-commerce, Manufacturing, Insurance, Media & Entertainment, Telecom.
Who should choose Addepto?
Addepto is the right choice for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk..
AI consulting boutique with third-party press recognition (Forbes, Deloitte, Financial Times), now part of KMS Technology.. Minimum engagement starts at Not published. Works best with clients in FinTech, Manufacturing, Retail & E-commerce.
Decision matrix: Grid Dynamics vs Addepto
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | Grid Dynamics |
| Your budget is at the lower end | Compare: Grid Dynamics (Not published) vs Addepto (Not published) |
| You need specialist depth in a specific vertical | Grid Dynamics |
| You need production MLOps support after model launch | Grid Dynamics |
| You need consulting before committing to a build | Addepto |
Use case fit: Grid Dynamics vs Addepto
| Use case | Grid Dynamics fit | Addepto fit | Winner |
|---|---|---|---|
| Fortune 1000 retailer needs an enterprise-scale ML/data platform overhaul with public-company accountability. | Strong | Limited | Grid Dynamics |
| Insurance or wealth management firm needs a vendor with SEC-level financial transparency for procurement due diligence. | Strong | Limited | Grid Dynamics |
| Company wants an AI consultancy with independent press recognition for vendor due diligence. | Strong | Strong | Both equally |
| Client is comfortable evaluating a firm mid-acquisition and confirming continuity directly before signing. | Limited | Strong | Addepto |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Grid Dynamics vs Addepto
Grid Dynamics (4.4/5) is the stronger overall choice for most Machine Learning Development projects. Nasdaq-listed enterprise AI engineering firm with public financial reporting and Fortune 1000 client base.. It is best for fortune 1000 enterprises that need public-company financial transparency and large-scale delivery capacity for ML/AI programs..
Addepto (4.3/5) is the better choice when companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk.. If your situation matches those criteria, Addepto is a competitive option.
Related comparisons
Grid Dynamics vs Addepto FAQ
Is Grid Dynamics better than Addepto?
Grid Dynamics (4.4/5) scores higher overall, but "better" depends on your use case. Grid Dynamics is better for fortune 1000 enterprises that need public-company financial transparency and large-scale delivery capacity for ML/AI programs.. Addepto is better for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk..
How do Grid Dynamics and Addepto differ in pricing?
Grid Dynamics uses time & materials, managed engagement pricing with a minimum engagement of Not published. Addepto uses project-based, consulting retainer 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: Grid Dynamics or Addepto?
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 Grid Dynamics and Addepto?
Grid Dynamics's primary differentiator is: nasdaq-listed enterprise ai engineering firm with public financial reporting and fortune 1000 client base.. Addepto's primary differentiator is: ai consulting boutique with third-party press recognition (forbes, deloitte, financial times), now part of kms technology.. They also differ in team size (4,500+ vs 50–100), minimum engagement (Not published vs Not published), and primary industries served (Retail & E-commerce, Manufacturing vs FinTech, Manufacturing).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.