Neoteric vs Addepto: full comparison for 2026
Last updated: July 2026
Quick verdict
Neoteric (4.5/5) edges ahead of Addepto (4.4/5) overall. Neoteric is the better choice for organizations wanting a structured feasibility/strategy phase before committing to hands-on AI model development.. Addepto is the stronger option for cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build.. The right choice depends on your project size, budget, and required tech stack.
Neoteric vs Addepto: head-to-head summary
| Criterion | Neoteric | Addepto |
|---|---|---|
| Founded | 2004 | 2018 |
| HQ | Gdańsk, Poland | Warsaw, Poland |
| Team size | 51–200 | 51–200 |
| Rating | 4.5 / 5 | 4.4 / 5 |
| Best for | Organizations wanting a structured feasibility/strategy phase before committing to hands-on AI model development. | Cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build. |
| Pricing model | Project-based | Project-based |
| Min. engagement | $10,000 | $10,000 |
| Primary tech stack | Python, Generative AI frameworks, Cloud deployment (AWS/GCP/Azure) | Python, MLOps tooling, Cloud ML platforms (AWS/GCP/Azure) |
| Industries served | Public sector/development finance, Aerospace, Enterprise SaaS | Finance, Healthcare, Retail |
Neoteric vs Addepto: overview
Neoteric
Neoteric is a Poland-based technology partner founded in 2004 that combines custom software development with a growing generative AI and machine learning practice. The company runs an upfront strategy and feasibility consulting phase before hands-on development, and states that roughly 90 percent of its technical staff are senior-level (per company website; independently unverifiable). It holds a 5.0 Clutch rating and was named a Clutch Champion / Global Leader in AI Development in 2023. Notable stated client relationships include the World Bank and Boeing (per company website).
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.
Services and capabilities: Neoteric vs Addepto
| Capability | Neoteric | Addepto |
|---|---|---|
| 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: Neoteric vs Addepto
| Framework / platform | Neoteric | Addepto |
|---|---|---|
| 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: Neoteric vs Addepto
| Criterion | Neoteric | Addepto |
|---|---|---|
| Minimum engagement | $10,000 | $10,000 |
| Engagement models | Fixed project, Strategy/feasibility engagement, Dedicated team | Fixed project, Advisory/consulting retainer |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Neoteric vs Addepto
| Dimension | Neoteric | Addepto |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Public sector/development finance, Aerospace, Enterprise SaaS | Finance, Healthcare, Retail |
| Best use cases | Running a structured AI feasibility assessment before committing engineering budget, Building a generative AI feature into an existing enterprise software product | Auditing an existing ML pipeline and recommending MLOps improvements, Running a well-scoped, budget-constrained machine learning pilot |
| Typical project type | Fixed project | Fixed project |
Neoteric vs Addepto: pros and cons
| Neoteric | |
|---|---|
| + | 5.0 Clutch rating and a 2023 Clutch Champion / Global AI Leader recognition. |
| + | 20+ year operating track record from a single Gdańsk base, indicating organizational stability. |
| + | Structured feasibility phase reduces the risk of building a model that doesn't fit the business problem. |
| + | Reports very high proportion of senior engineers on delivery teams (per company website; independently unverifiable). |
| - | Small team (51–200) limits parallel capacity for multiple large concurrent engagements. |
| - | Publicly available named case studies with quantified ML outcomes are limited. |
| - | Project cost range (cited $10K–$550K across sources) is wide, making budgeting less predictable up front. |
| - | AI/ML is a growth area layered onto a broader custom software practice rather than the company's original core focus. |
| 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. |
Who should choose Neoteric?
Neoteric is the right choice for organizations wanting a structured feasibility/strategy phase before committing to hands-on AI model development..
Two-decade operating history combined with a formal upfront feasibility-assessment stage before any model-building work begins.. Minimum engagement starts at $10,000. Works best with clients in Public sector/development finance, Aerospace, Enterprise SaaS.
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.
Decision matrix: Neoteric vs Addepto
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Neoteric |
| You need a large dedicated team for an ongoing programme | Neoteric |
| Your budget is at the lower end | Neoteric |
| You need specialist depth in a specific vertical | Neoteric |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Neoteric |
Use case fit: Neoteric vs Addepto
| Use case | Neoteric fit | Addepto fit | Winner |
|---|---|---|---|
| Running a structured AI feasibility assessment before committing engineering budget | Strong | Strong | Both equally |
| Building a generative AI feature into an existing enterprise software product | Strong | Limited | Neoteric |
| Auditing an existing ML pipeline and recommending MLOps improvements | Limited | Strong | Addepto |
| Running a well-scoped, budget-constrained machine learning pilot | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Limited | Strong | Addepto |
Verdict: Neoteric vs Addepto
Neoteric (4.5/5) is the stronger overall choice for most ML Model Development projects. Two-decade operating history combined with a formal upfront feasibility-assessment stage before any model-building work begins.. It is best for organizations wanting a structured feasibility/strategy phase before committing to hands-on AI model development..
Addepto (4.4/5) is the better choice when cost-conscious teams that specifically need MLOps consulting or a well-scoped machine learning advisory engagement rather than a full custom software build.. If your situation matches those criteria, Addepto is a competitive option.
Related comparisons
Neoteric vs Addepto FAQ
Is Neoteric better than Addepto?
Neoteric (4.5/5) scores higher overall, but "better" depends on your use case. Neoteric is better for organizations wanting a structured feasibility/strategy phase before committing to hands-on AI model development.. 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..
How do Neoteric and Addepto differ in pricing?
Neoteric uses project-based pricing with a minimum engagement of $10,000. Addepto uses project-based pricing with a minimum engagement of $10,000. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Neoteric or Addepto?
Neoteric 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 Neoteric and Addepto?
Neoteric's primary differentiator is: two-decade operating history combined with a formal upfront feasibility-assessment stage before any model-building work begins.. 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.. They also differ in team size (51–200 vs 51–200), minimum engagement ($10,000 vs $10,000), and primary industries served (Public sector/development finance, Aerospace vs Finance, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.