Addepto vs Markovate: full comparison for 2026
Quick verdict
Addepto (4.3/5) edges ahead of Markovate (3.9/5) overall. Addepto is the better choice for data teams needing warehouse work before an LLM project. Markovate is the stronger option for startups wanting a quick generative AI build. The right choice depends on your project size, budget, and required tech stack.
Addepto vs Markovate: head-to-head summary
| Criterion | Addepto | Markovate |
|---|---|---|
| Founded | 2018 | 2015 |
| HQ | Warsaw, Poland | San Francisco, CA, USA |
| Team size | 50–249 | 50–200 |
| Rating | 4.3 / 5 | 3.9 / 5 |
| Primary differentiator | Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored | Generative AI app builds for startups with a fast proof-of-concept focus |
| Pricing model | $50–$99/hr (Clutch band); discovery workshops, then T&M | Fixed-price and T&M; rates on request |
| Min. engagement | $10,000+ (Clutch) | Not disclosed |
| Primary tech stack | Databricks, Snowflake, Azure OpenAI | Azure OpenAI, AWS Bedrock, LangChain |
| Industries served | Manufacturing, Retail & e-commerce, Aviation, Financial services | SaaS, Healthcare, Retail & e-commerce, Logistics |
Addepto vs Markovate: overview
Addepto
Addepto is a Warsaw-based AI and data consultancy that started trading in April 2018 (some directories list 2017). Clutch shows 50–249 employees, a $50–$99 hourly band and a $10,000 minimum project. CB Insights reports that KMS Technology acquired the company in December 2025, after an earlier tie-up with Grape Up. Its work typically begins with data engineering and moves on to generative AI, MLOps and AI discovery workshops.
Markovate
Markovate is an AI development agency founded in 2015, headquartered in San Francisco with a presence in Toronto. Directory headcount estimates sit between about 50 and 200. It builds generative AI apps, agents and integrations for startups and mid-size firms. It publishes a large volume of marketing content, while independent detail on production integrations is limited.
Services and capabilities: Addepto vs Markovate
| Capability | Addepto | Markovate |
|---|---|---|
| CRM / ERP integration | ✗ | ✗ |
| LLM API gateway & cost control | ✓ | ✓ |
| Document processing | ✗ | ✗ |
| Agentic workflows | ✗ | ✓ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✗ | ✗ |
| PII masking & access control | ✗ | ✗ |
Tech stack comparison: Addepto vs Markovate
| Framework / platform | Addepto | Markovate |
|---|---|---|
| Salesforce | N/A | N/A |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | N/A |
| Databricks | ✓ | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | N/A | ✓ |
| LangChain | ✓ | ✓ |
| ServiceNow | N/A | N/A |
Pricing comparison: Addepto vs Markovate
| Criterion | Addepto | Markovate |
|---|---|---|
| Minimum engagement | $10,000+ (Clutch) | Not disclosed |
| Engagement models | Fixed project, Time & materials | Fixed project, Time & materials |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Addepto vs Markovate
| Dimension | Addepto | Markovate |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Retail & e-commerce, Aviation | SaaS, Healthcare, Retail & e-commerce |
| Best use cases | Building a Databricks lakehouse that later feeds demand forecasts and an internal assistant., Productionizing ML models with MLflow and monitoring. | A generative AI MVP for a startup., Chat interfaces over product documentation. |
| Typical project type | Fixed project | Fixed project |
Addepto vs Markovate: pros and cons
| Addepto | |
|---|---|
| + | Publicly listed Clutch rate band and $10,000 minimum make budgeting straightforward |
| + | Databricks and Spark experience helps when the data estate is the real blocker |
| + | Discovery workshops scope use cases before larger spend |
| + | Predictive analytics and LLM work available from the same team |
| - | Acquired by KMS Technology in December 2025 (per CB Insights), so ownership and leadership may change |
| - | Corporate history includes several restructurings, which complicates long-term vendor planning |
| - | Limited published work inside CRM platforms |
| Markovate | |
|---|---|
| + | Quick turnaround on generative AI prototypes |
| + | Good fit for startups without an in-house AI team |
| + | Experience with chat and agent interfaces |
| - | Thin independent evidence of enterprise CRM or ERP integration |
| - | Headcount estimates vary widely between directories |
| - | Ratings and awards mostly cited from its own materials |
Who should choose Addepto?
A typical fit: building a Databricks lakehouse that later feeds demand forecasts and an internal assistant.
Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored. Minimum engagement starts at $10,000+ (Clutch). Works best with clients in Manufacturing, Retail & e-commerce, Aviation, Financial services.
Who should choose Markovate?
A typical fit: a generative AI MVP for a startup.
Generative AI app builds for startups with a fast proof-of-concept focus. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Healthcare, Retail & e-commerce, Logistics.
Decision matrix: Addepto vs Markovate
| Your situation | Recommended choice |
|---|---|
| You want a fixed-price audit or pilot before committing | Neither advertises one; ask for a scoped pilot |
| AI has to work inside your existing CRM or ERP | Neither lists CRM/ERP integration work |
| Personal data must be masked and answers limited by user permissions | Ask both for their PII and access-control design |
| Your budget is at the lower end | Compare: Addepto ($10,000+ (Clutch)) vs Markovate (Not disclosed) |
| You want the vendor to run the AI service after launch | Neither offers managed services; plan in-house operations |
| You are building multi-step agents across systems | Markovate |
Use case fit: Addepto vs Markovate
| Use case | Addepto fit | Markovate fit | Winner |
|---|---|---|---|
| Building a Databricks lakehouse that later feeds demand forecasts and an internal assistant. | Strong | Limited | Addepto |
| Productionizing ML models with MLflow and monitoring. | Strong | Limited | Addepto |
| A generative AI MVP for a startup. | Strong | Strong | Both equally |
| Chat interfaces over product documentation. | Limited | Strong | Markovate |
Verdict: Addepto vs Markovate
Addepto (4.3/5) is the stronger overall choice for most AI Integration projects. Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored.
Markovate (3.9/5) is worth a look if you need chat interfaces over product documentation. If your situation matches that, Markovate is a competitive option.
Related comparisons
Addepto vs Markovate FAQ
Is Addepto better than Markovate?
Addepto (4.3/5) scores higher overall, but "better" depends on your use case. Addepto's strongest advantage: publicly listed Clutch rate band and $10,000 minimum make budgeting straightforward. Markovate's strongest advantage: quick turnaround on generative AI prototypes.
How do Addepto and Markovate differ in pricing?
Addepto pricing: $50–$99/hr (Clutch band); discovery workshops, then T&M. Minimum engagement: $10,000+ (Clutch). Markovate pricing: Fixed-price and T&M; rates on request. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Addepto or Markovate?
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 Markovate?
Addepto's primary differentiator is: data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored. Markovate's primary differentiator is: generative AI app builds for startups with a fast proof-of-concept focus. They also differ in team size (50–249 vs 50–200), minimum engagement ($10,000+ (Clutch) vs Not disclosed), and primary industries served (Manufacturing, Retail & e-commerce vs SaaS, Healthcare).
Verify all details directly with each company before making a decision.