Addepto vs Iterate.ai: full comparison for 2026
Last updated: July 2026
Quick verdict
Addepto (4.4/5) edges ahead of Iterate.ai (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.. Iterate.ai is the stronger option for data-sensitive enterprises (e.g., regulated industries) that require AI model development and deployment entirely within their own private infrastructure.. The right choice depends on your project size, budget, and required tech stack.
Addepto vs Iterate.ai: head-to-head summary
| Criterion | Addepto | Iterate.ai |
|---|---|---|
| Founded | 2018 | 2013 |
| HQ | Warsaw, Poland | Mountain View, USA |
| 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. | Data-sensitive enterprises (e.g., regulated industries) that require AI model development and deployment entirely within their own private infrastructure. |
| Pricing model | Project-based | Not published; platform licensing plus services |
| Min. engagement | $10,000 | Not published |
| Primary tech stack | Python, MLOps tooling, Cloud ML platforms (AWS/GCP/Azure) | Interplay platform (proprietary), Generate platform (proprietary), Private/on-prem infrastructure integration |
| Industries served | Finance, Healthcare, Retail | Retail, Financial services, Regulated/data-sensitive industries |
Addepto vs Iterate.ai: 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.
Iterate.ai
Iterate.ai was founded in 2013 by Igor Shoifot, Brian Sathianathan, and Jon Nordmark, headquartered in Mountain View, California. The company's Interplay platform provides a drag-and-drop interface with more than 4,000 components and AI model management capabilities, and its Generate platform is designed to run entirely within a client's own infrastructure so that enterprise data never leaves the client environment. Reported employee counts vary from roughly 60 to 100 depending on the source, positioning Iterate.ai as a smaller, platform-plus-services company rather than a large delivery organization.
Services and capabilities: Addepto vs Iterate.ai
| Capability | Addepto | Iterate.ai |
|---|---|---|
| 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 Iterate.ai
| Framework / platform | Addepto | Iterate.ai |
|---|---|---|
| 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 Iterate.ai
| Criterion | Addepto | Iterate.ai |
|---|---|---|
| Minimum engagement | $10,000 | Not published |
| Engagement models | Fixed project, Advisory/consulting retainer | Platform licensing, Dedicated team, Project-based |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Addepto vs Iterate.ai
| Dimension | Addepto | Iterate.ai |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Finance, Healthcare, Retail | Retail, Financial services, Regulated/data-sensitive industries |
| Best use cases | Auditing an existing ML pipeline and recommending MLOps improvements, Running a well-scoped, budget-constrained machine learning pilot | Deploying ML models entirely within a regulated enterprise's own private infrastructure, Assembling an AI application quickly using a large library of pre-built components |
| Typical project type | Fixed project | Platform licensing |
Addepto vs Iterate.ai: 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. |
| Iterate.ai | |
|---|---|
| + | Explicit private-infrastructure deployment model addresses a real data-sovereignty concern for regulated buyers. |
| + | Over 4,000 pre-built components in its Interplay platform can accelerate AI application assembly. |
| + | Reports team composition heavy in advanced computer science and ML degrees (per company website; independently unverifiable). |
| + | More than a decade of continuous operation as an enterprise AI platform company. |
| - | Employee count estimates vary widely across sources (roughly 50–100), suggesting a genuinely small team relative to peers. |
| - | As a platform company first, custom bespoke model development services may be more limited than pure-play consultancies. |
| - | No clearly located aggregate Clutch/G2 star rating in available public sources. |
| - | Pricing model and minimum engagement are not published. |
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 Iterate.ai?
Iterate.ai is the right choice for data-sensitive enterprises (e.g., regulated industries) that require AI model development and deployment entirely within their own private infrastructure..
Purpose-built for on-premise/private-infrastructure AI deployment, so client data and proprietary code never leave the client's own environment.. Minimum engagement starts at Not published. Works best with clients in Retail, Financial services, Regulated/data-sensitive industries.
Decision matrix: Addepto vs Iterate.ai
| 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 | Iterate.ai |
| Your budget is at the lower end | Compare: Addepto ($10,000) vs Iterate.ai (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 Iterate.ai
| Use case | Addepto fit | Iterate.ai fit | Winner |
|---|---|---|---|
| Auditing an existing ML pipeline and recommending MLOps improvements | Strong | Limited | Addepto |
| Running a well-scoped, budget-constrained machine learning pilot | Strong | Limited | Addepto |
| Deploying ML models entirely within a regulated enterprise's own private infrastructure | Limited | Strong | Iterate.ai |
| Assembling an AI application quickly using a large library of pre-built components | Limited | Strong | Iterate.ai |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Strong | Limited | Addepto |
Verdict: Addepto vs Iterate.ai
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..
Iterate.ai (4.0/5) is the better choice when data-sensitive enterprises (e.g., regulated industries) that require AI model development and deployment entirely within their own private infrastructure.. If your situation matches those criteria, Iterate.ai is a competitive option.
Related comparisons
Addepto vs Iterate.ai FAQ
Is Addepto better than Iterate.ai?
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.. Iterate.ai is better for data-sensitive enterprises (e.g., regulated industries) that require AI model development and deployment entirely within their own private infrastructure..
How do Addepto and Iterate.ai differ in pricing?
Addepto uses project-based pricing with a minimum engagement of $10,000. Iterate.ai uses not published; platform licensing plus services 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 Iterate.ai?
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 Iterate.ai?
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.. Iterate.ai's primary differentiator is: purpose-built for on-premise/private-infrastructure ai deployment, so client data and proprietary code never leave the client's own environment.. 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 Retail, Financial services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.