Addepto
Warsaw data and AI consultancy pairing data engineering with LLM and MLOps work
Founded 2018 | Warsaw, Poland | 50–249 employees
data-platform-integrationllm-api-integrationmlops-llmopspredictive-analytics
What is 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.
Addepto works primarily with clients in Manufacturing, Retail & e-commerce, Aviation, Financial services sectors. Its primary differentiator is: Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored.
Addepto tech stack and services
DatabricksSnowflakeAzure OpenAILangChainApache SparkMLflow
| Service area |
|---|
| Data Platform Integration |
| LLM API Integration |
| MLOps / LLMOps |
| Predictive Analytics |
Addepto pricing
Short answer: $50–$99/hr (Clutch band); discovery workshops, then T&M. Minimum engagement starts at $10,000+ (Clutch).
| Engagement model | Typical range | Best for |
|---|---|---|
| Fixed project | From $10,000+ (Clutch) | Well-defined scope |
| Time & materials | Variable; depends on team size | Large programmes or team augmentation |
Addepto does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
Addepto pros and cons
| Advantages | Things to consider |
|---|---|
| +Publicly listed Clutch rate band and $10,000 minimum make budgeting straightforward | -Acquired by KMS Technology in December 2025 (per CB Insights), so ownership and leadership may change |
| +Databricks and Spark experience helps when the data estate is the real blocker | -Corporate history includes several restructurings, which complicates long-term vendor planning |
| +Discovery workshops scope use cases before larger spend | -Limited published work inside CRM platforms |
| +Predictive analytics and LLM work available from the same team |
Addepto vs alternatives
How Addepto compares to the other top AI Integration companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Tensorway | Mid-market firms adding AI to existing CRM and... | Integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call | 4.8 | Full comparison |
| Provectus | AWS-based companies needing data work before AI. | Pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team | 4.6 | Full comparison |
| Slalom | Salesforce-centric enterprises, Data Cloud and Agentforce. | Partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack | 4.6 | Full comparison |
| Neurons Lab | Banks and insurers piloting agentic AI under regulation. | Financial-services agent work delivered by an AWS Advanced Tier partner that also holds a public-sector designation | 4.5 | Full comparison |
| TTMS | Pharma and regulated firms on Salesforce or Microsoft... | Adds AI inside Salesforce, Microsoft 365 and Adobe Experience Manager for pharma and defense clients with strict validation rules | 4.5 | Full comparison |
| Avanade | Microsoft-standardized enterprises rolling out Copilot. | A Microsoft-only practice of about 59,000 people covering Dynamics 365, Azure OpenAI and Copilot governance | 4.4 | Full comparison |
| deepsense.ai | Engineering teams wanting a strong RAG partner. | Research-grade ML engineers who build retrieval systems and evaluate them with measurable accuracy targets | 4.4 | Full comparison |
| Vstorm | Teams wanting agents they will own and maintain. | Agent specialists who hand over a production system the client team can maintain without them | 4.3 | Full comparison |
| Quantiphi | Google Cloud estates, high-volume document AI. | Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments | 4.3 | Full comparison |
| Grid Dynamics | Retailers adding AI to commerce and supply chain... | Packaged agentic-commerce accelerators backed by a large engineering bench with public financial reporting | 4.3 | Full comparison |
| EPAM Systems | Large enterprises with Salesforce and SAP estates. | Engineering depth across Salesforce, SAP and major model providers, including a formal partnership with Anthropic | 4.3 | Full comparison |
| Accenture | Global enterprises with multi-country compliance needs. | Scale and compliance coverage across every major platform, region and regulator | 4.2 | Full comparison |
| Perficient | Marketing and service teams on Adobe or Salesforce. | Adds AI inside customer-experience platforms such as Adobe Experience Cloud, Salesforce and Microsoft | 4.2 | Full comparison |
| Azumo | Budget-conscious U.S. teams, time-zone-aligned. | U.S.-hours engineering from Argentina at a $25–$49 Clutch band with a $10,000 entry point | 4.2 | Full comparison |
| RTS Labs | U.S. mid-market firms with stalled AI pilots. | Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections | 4.2 | Full comparison |
| Thoughtworks | Engineering-led firms that value delivery practice. | Long-standing engineering discipline, testing and continuous delivery applied to AI features | 4.1 | Full comparison |
| InData Labs | Mid-size firms needing forecasting and data science. | Data-science-led team that builds predictive models alongside generative features | 4.1 | Full comparison |
| Master of Code Global | Consumer brands building chat and voice assistants. | Two decades of conversational design work for consumer brands, now applied to LLM-based assistants | 4.1 | Full comparison |
| Deloitte | Regulated enterprises needing audit-grade AI controls. | Risk and governance expertise next to SAP and Oracle integration teams in one firm | 4.1 | Full comparison |
| IBM Consulting | Enterprises already committed to IBM watsonx. | Prebuilt connectors in watsonx Orchestrate plus IBM's own governance tooling | 4.0 | Full comparison |
| Globant | Firms wanting subscription-priced AI capacity. | Subscription AI Pods supervised by human experts, sold as a product instead of billed by the hour | 4.0 | Full comparison |
| N-iX | Larger programmes needing an Eastern European team. | Large Central and Eastern European engineering bench with data-platform experience | 4.0 | Full comparison |
| ScienceSoft | Healthcare and finance firms wanting one IT vendor. | Long-established generalist covering both the surrounding software and the AI feature | 4.0 | Full comparison |
| Itransition | Cost-sensitive buyers wanting a large generalist. | Low published rates combined with a large engineering pool | 3.9 | Full comparison |
| Miquido | Product teams adding AI to customer-facing apps. | Product design and mobile engineering applied to AI features in apps | 3.9 | Full comparison |
| Markovate | Startups wanting a quick generative AI build. | Generative AI app builds for startups with a fast proof-of-concept focus | 3.9 | Full comparison |
| LeewayHertz | Buyers open to a platform-led ZBrain build. | Builds on its own ZBrain low-code platform, now backed by The Hackett Group | 3.8 | Full comparison |
Addepto FAQ
What is Addepto?
Warsaw data and AI consultancy pairing data engineering with LLM and MLOps work
How much does Addepto charge?
Pricing at Addepto: $50–$99/hr (Clutch band); discovery workshops, then T&M. Minimum engagement starts at $10,000+ (Clutch). A discovery call is required to get project-specific quotes.
What tech stack does Addepto use?
Addepto works with Databricks, Snowflake, Azure OpenAI, LangChain, Apache Spark, MLflow. Primary industries served include Manufacturing, Retail & e-commerce, Aviation, Financial services.
Is Addepto right for enterprise?
Data teams needing warehouse work before an LLM project. 50–249 team size. Key consideration: Acquired by KMS Technology in December 2025 (per CB Insights), so ownership and leadership may change.
What are the best Addepto alternatives?
The best alternatives to Addepto depend on your use case. Top options are:
- Tensorway: integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call
- Provectus: pairs a Premier Tier AWS partnership with ML and GenAI competencies, so the data platform and the model integration come from one team
- Slalom: partner standing across Salesforce, AWS, Microsoft and Snowflake at once, which covers most of a typical enterprise stack
Compare Addepto with other AI Integration companies
Addepto vs Tensorway Addepto vs Provectus Addepto vs Slalom Addepto vs Neurons Lab Addepto vs TTMS Addepto vs Avanade Addepto vs deepsense.ai Addepto vs Vstorm Addepto vs Quantiphi Addepto vs Grid Dynamics Addepto vs EPAM Systems Addepto vs Accenture Addepto vs Perficient Addepto vs Azumo Addepto vs RTS Labs Addepto vs Thoughtworks Addepto vs InData Labs Addepto vs Master of Code Global Addepto vs Deloitte Addepto vs IBM Consulting Addepto vs Globant Addepto vs N-iX Addepto vs ScienceSoft Addepto vs Itransition Addepto vs Miquido Addepto vs Markovate Addepto vs LeewayHertz
Verify all details directly with Addepto before making a decision.