Addepto vs ValueCoders: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (4.3/5) edges ahead of ValueCoders (3.8/5) overall. Addepto is the better choice for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk.. ValueCoders is the stronger option for budget-conscious companies wanting a 20-year Indian IT outsourcer with a dedicated ML/AutoML practice.. The right choice depends on your project size, budget, and required tech stack.
Addepto vs ValueCoders: head-to-head summary
| Criterion | Addepto | ValueCoders |
|---|---|---|
| Founded | 2018 | 2004 |
| HQ | Warsaw, Poland | Gurugram, India |
| Team size | 50–100 | 203–675 |
| Rating | 4.3 / 5 | 3.8 / 5 |
| Best for | Companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk. | Budget-conscious companies wanting a 20-year Indian IT outsourcer with a dedicated ML/AutoML practice. |
| Pricing model | Project-based, consulting retainer | Time & materials, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, TensorFlow, AWS | Python, AWS, Azure ML |
| Industries served | FinTech, Manufacturing, Retail & E-commerce | Healthcare, FinTech, Retail & E-commerce, Logistics & Supply Chain, Education |
Addepto vs ValueCoders: overview
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.
ValueCoders
ValueCoders was founded in 2004 by Parvesh Aggarwal and is headquartered in Gurugram, India, delivering IT outsourcing services worldwide with what the company describes as 675+ skilled software professionals (LeadIQ separately reports 203 employees as of mid-2025). The firm's machine learning practice covers ML solution development, model engineering, and AutoML development, alongside broader AI development, generative AI integration, and intelligent automation for healthcare, fintech, e-commerce, logistics, and education clients. ValueCoders holds a 5.0 rating on Clutch, though the wide gap between reported employee counts (203 vs. 675+) is worth clarifying directly.
Services and capabilities: Addepto vs ValueCoders
| Capability | Addepto | ValueCoders |
|---|---|---|
| Custom ML Models | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| Generative AI | ✓ | ✗ |
| AI Consulting | ✓ | ✗ |
Tech stack comparison: Addepto vs ValueCoders
| Framework / platform | Addepto | ValueCoders |
|---|---|---|
| TensorFlow | ✓ | N/A |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Addepto vs ValueCoders
| Criterion | Addepto | ValueCoders |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Project-based, Consulting retainer | Time & materials, Dedicated team, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Addepto vs ValueCoders
| Dimension | Addepto | ValueCoders |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Manufacturing, Retail & E-commerce | Healthcare, FinTech, Retail & E-commerce |
| Best use cases | 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. | Budget-conscious company wants ML development from a 5.0-rated, 20-year Indian outsourcing firm., Team needs a dedicated AutoML development service rather than fully custom model engineering. |
| Typical project type | Project-based | Time & materials |
Addepto vs ValueCoders: pros and cons
| 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. |
| ValueCoders | |
|---|---|
| + | 5.0 perfect rating on Clutch reflects strong client satisfaction on the platform. |
| + | 20 years of IT outsourcing history (since 2004) under continuous founder-CEO leadership. |
| + | Dedicated AutoML development service line is a differentiated offering versus generalist ML consulting. |
| + | Wide industry coverage (healthcare through education) with cost-competitive Indian delivery rates. |
| - | Reported employee count varies by more than 3x across sources (203 vs. 675+), making it hard to confirm actual current scale. |
| - | As a broad IT outsourcing firm, ML/AutoML is one service line among several rather than the company's core specialty. |
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.
Who should choose ValueCoders?
ValueCoders is the right choice for budget-conscious companies wanting a 20-year Indian IT outsourcer with a dedicated ML/AutoML practice..
5.0 Clutch rating combined with a specific AutoML development service line, uncommon among generalist outsourcing firms.. Minimum engagement starts at Not published. Works best with clients in Healthcare, FinTech, Retail & E-commerce, Logistics & Supply Chain, Education.
Decision matrix: Addepto vs ValueCoders
| 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 | ValueCoders |
| Your budget is at the lower end | Compare: Addepto (Not published) vs ValueCoders (Not published) |
| You need specialist depth in a specific vertical | ValueCoders |
| You need production MLOps support after model launch | ValueCoders |
| You need consulting before committing to a build | Addepto |
Use case fit: Addepto vs ValueCoders
| Use case | Addepto fit | ValueCoders fit | Winner |
|---|---|---|---|
| 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. | Strong | Limited | Addepto |
| Budget-conscious company wants ML development from a 5.0-rated, 20-year Indian outsourcing firm. | Limited | Strong | ValueCoders |
| Team needs a dedicated AutoML development service rather than fully custom model engineering. | Limited | Strong | ValueCoders |
| Fixed-scope ML build | Limited | Limited | Both equally |
| Ongoing model retraining | Limited | Limited | Both equally |
Verdict: Addepto vs ValueCoders
Addepto (4.3/5) is the stronger overall choice for most Machine Learning Development projects. AI consulting boutique with third-party press recognition (Forbes, Deloitte, Financial Times), now part of KMS Technology.. It is best for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk..
ValueCoders (3.8/5) is the better choice when budget-conscious companies wanting a 20-year Indian IT outsourcer with a dedicated ML/AutoML practice.. If your situation matches those criteria, ValueCoders is a competitive option.
Related comparisons
Addepto vs ValueCoders FAQ
Is Addepto better than ValueCoders?
Addepto (4.3/5) scores higher overall, but "better" depends on your use case. Addepto is better for companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they factor in post-acquisition integration risk.. ValueCoders is better for budget-conscious companies wanting a 20-year Indian IT outsourcer with a dedicated ML/AutoML practice..
How do Addepto and ValueCoders differ in pricing?
Addepto uses project-based, consulting retainer pricing with a minimum engagement of Not published. ValueCoders uses time & materials, dedicated team 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 ValueCoders?
ValueCoders 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 ValueCoders?
Addepto's primary differentiator is: ai consulting boutique with third-party press recognition (forbes, deloitte, financial times), now part of kms technology.. ValueCoders's primary differentiator is: 5.0 clutch rating combined with a specific automl development service line, uncommon among generalist outsourcing firms.. They also differ in team size (50–100 vs 203–675), minimum engagement (Not published vs Not published), and primary industries served (FinTech, Manufacturing vs Healthcare, FinTech).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.