Addepto vs Deloitte: full comparison for 2026
Quick verdict
Addepto (4.3/5) edges ahead of Deloitte (4.1/5) overall. Addepto is the better choice for data teams needing warehouse work before an LLM project. Deloitte is the stronger option for regulated enterprises needing audit-grade AI controls. The right choice depends on your project size, budget, and required tech stack.
Addepto vs Deloitte: head-to-head summary
| Criterion | Addepto | Deloitte |
|---|---|---|
| Founded | 2018 | 1845 |
| HQ | Warsaw, Poland | London, UK |
| Team size | 50–249 | 470,000+ |
| Rating | 4.3 / 5 | 4.1 / 5 |
| Primary differentiator | Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored | Risk and governance expertise next to SAP and Oracle integration teams in one firm |
| Pricing model | $50–$99/hr (Clutch band); discovery workshops, then T&M | Enterprise consulting rates and managed-service contracts; rates on request |
| Min. engagement | $10,000+ (Clutch) | Not disclosed |
| Primary tech stack | Databricks, Snowflake, Azure OpenAI | SAP, Oracle, ServiceNow |
| Industries served | Manufacturing, Retail & e-commerce, Aviation, Financial services | Financial services, Public sector, Healthcare, Manufacturing, Energy |
Addepto vs Deloitte: 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.
Deloitte
Deloitte is a global professional services network with origins in London in 1845 and more than 470,000 people as of fiscal 2025. Its consulting arm operates as a global systems integrator with alliances across SAP, Oracle, Salesforce, ServiceNow and the hyperscalers. Zora AI, built with NVIDIA, is its platform for deploying agents into finance, procurement, HR and customer service, and the firm has committed more than $3 billion to generative AI through 2030. Audit and risk practices sit inside the same network, which suits buyers with heavy compliance needs.
Services and capabilities: Addepto vs Deloitte
| Capability | Addepto | Deloitte |
|---|---|---|
| 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 Deloitte
| Framework / platform | Addepto | Deloitte |
|---|---|---|
| Salesforce | N/A | ✓ |
| SAP | 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 | N/A |
| LangChain | ✓ | N/A |
| ServiceNow | N/A | ✓ |
Pricing comparison: Addepto vs Deloitte
| Criterion | Addepto | Deloitte |
|---|---|---|
| Minimum engagement | $10,000+ (Clutch) | Not disclosed |
| Engagement models | Fixed project, Time & materials | Fixed project, Time & materials, Managed services |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Addepto vs Deloitte
| Dimension | Addepto | Deloitte |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Retail & e-commerce, Aviation | Financial services, Public sector, Healthcare |
| Best use cases | Building a Databricks lakehouse that later feeds demand forecasts and an internal assistant., Productionizing ML models with MLflow and monitoring. | Finance-close and procurement agents on SAP with documented controls., Model-risk and AI-governance frameworks for banks. |
| Typical project type | Fixed project | Fixed project |
Addepto vs Deloitte: 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 |
| Deloitte | |
|---|---|
| + | Risk, audit and controls expertise is available inside the same firm |
| + | Deep SAP and Oracle finance-system integration history |
| + | Prebuilt agent catalogue for back-office functions |
| - | Audit independence rules can stop it from consulting for its own audit clients |
| - | High cost floor and long programme set-up |
| - | Productivity targets for Zora AI come from secondary sources and are unverified |
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 Deloitte?
A typical fit: finance-close and procurement agents on SAP with documented controls.
Risk and governance expertise next to SAP and Oracle integration teams in one firm. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Public sector, Healthcare, Manufacturing, Energy.
Decision matrix: Addepto vs Deloitte
| 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 | Deloitte |
| Personal data must be masked and answers limited by user permissions | Deloitte |
| Your budget is at the lower end | Compare: Addepto ($10,000+ (Clutch)) vs Deloitte (Not disclosed) |
| You want the vendor to run the AI service after launch | Deloitte |
| You are building multi-step agents across systems | Deloitte |
Use case fit: Addepto vs Deloitte
| Use case | Addepto fit | Deloitte 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 |
| Finance-close and procurement agents on SAP with documented controls. | Limited | Strong | Deloitte |
| Model-risk and AI-governance frameworks for banks. | Limited | Strong | Deloitte |
Verdict: Addepto vs Deloitte
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.
Deloitte (4.1/5) is worth a look if you need model-risk and AI-governance frameworks for banks. If your situation matches that, Deloitte is a competitive option.
Related comparisons
Addepto vs Deloitte FAQ
Is Addepto better than Deloitte?
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. Deloitte's strongest advantage: Risk, audit and controls expertise is available inside the same firm.
How do Addepto and Deloitte differ in pricing?
Addepto pricing: $50–$99/hr (Clutch band); discovery workshops, then T&M. Minimum engagement: $10,000+ (Clutch). Deloitte pricing: Enterprise consulting rates and managed-service contracts; 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 Deloitte?
Deloitte 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 Deloitte?
Addepto's primary differentiator is: data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored. Deloitte's primary differentiator is: risk and governance expertise next to SAP and Oracle integration teams in one firm. They also differ in team size (50–249 vs 470,000+), minimum engagement ($10,000+ (Clutch) vs Not disclosed), and primary industries served (Manufacturing, Retail & e-commerce vs Financial services, Public sector).
Verify all details directly with each company before making a decision.