Slalom vs Addepto: full comparison for 2026
Quick verdict
Slalom (4.5/5) edges ahead of Addepto (4.3/5) overall. Slalom is the better choice for mid-size and large firms on several platforms at once. Addepto is the stronger option for manufacturers connecting AI to engineering data. The right choice depends on your project size, budget, and required tech stack.
Slalom vs Addepto: head-to-head summary
| Criterion | Slalom | Addepto |
|---|---|---|
| Founded | 2001 | 2018 |
| HQ | Seattle, WA, USA | Warsaw, Poland |
| Team size | ~8,000 | 50–249 |
| Rating | 4.5 / 5 | 4.3 / 5 |
| Primary differentiator | Partner depth across Snowflake, Microsoft, Salesforce, and OpenAI in one firm | Integration work with industrial systems such as SCADA, CAD, and PLM |
| Pricing model | Time & materials and fixed-scope statements of work; rates on request | Fixed-scope projects and time & materials; $50–$99/hr (Clutch band) |
| Min. engagement | Not disclosed | $10,000+ (Clutch) |
| Primary tech stack | Snowflake, Salesforce, Microsoft Dynamics 365 | Databricks, Azure OpenAI, Snowflake |
| Industries served | Financial services, Healthcare, Retail & e-commerce, Public sector, Energy | Manufacturing, Energy, Logistics, Retail & e-commerce |
Slalom vs Addepto: overview
Slalom
Slalom is a business and technology consultancy founded in Seattle in 2001, with an estimated 8,000 employees. It holds partner status with several platforms at once; in Q1 2026 it became a Snowflake Cortex Code preferred partner and earned Microsoft's Frontier partner badge. In mid-2026 it also expanded a services partnership with OpenAI for ChatGPT rollouts in federal agencies. Slalom's strength for integration buyers is breadth across platforms within a single engagement, delivered by local teams in many U.S. metros.
Addepto
Addepto was founded in Warsaw in 2018 and employs 50–100 people according to most directories (Clutch shows 50–249). KMS Technology acquired it in December 2025, and it continues as an independent subsidiary. Its focus is unusual. The integration work leans toward industrial and engineering data, connecting AI to supervisory control (SCADA), computer-aided design (CAD), and product lifecycle management (PLM) systems alongside more common document and analytics projects. Clutch lists a $10,000 minimum and a $50–$99 hourly band, one of the more accessible entry points on this list.
Services and capabilities: Slalom vs Addepto
| Capability | Slalom | Addepto |
|---|---|---|
| CRM / ERP integration | ✓ | ✗ |
| LLM API gateway & cost control | ✗ | ✓ |
| Document processing | ✗ | ✓ |
| Conversational AI | ✓ | ✗ |
| Agentic workflows | ✗ | ✗ |
| Fixed-price pilot | ✗ | ✗ |
| Managed services after launch | ✓ | ✗ |
Tech stack comparison: Slalom vs Addepto
| Framework / platform | Slalom | Addepto |
|---|---|---|
| Salesforce | ✓ | N/A |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | ✓ | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | ✓ |
| Databricks | ✓ | ✓ |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | ✓ | N/A |
| Zendesk | N/A | N/A |
Pricing comparison: Slalom vs Addepto
| Criterion | Slalom | Addepto |
|---|---|---|
| Minimum engagement | Not disclosed | $10,000+ (Clutch) |
| Engagement models | Fixed-scope project, Time & materials, Managed services | Fixed-scope project, Time & materials |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: Slalom vs Addepto
| Dimension | Slalom | Addepto |
|---|---|---|
| Best company size | Mid-market to enterprise | Startup to mid-market |
| Best industries | Financial services, Healthcare, Retail & e-commerce | Manufacturing, Energy, Logistics |
| Best use cases | Putting a Cortex-based assistant on top of an existing Snowflake warehouse, Adding generative features to a Salesforce org and a Microsoft tenant in one program | Search across CAD and PLM records with an LLM front end, Predictive maintenance from SCADA sensor history |
| Typical project type | Fixed-scope project | Fixed-scope project |
Slalom vs Addepto: pros and cons
| Slalom | |
|---|---|
| + | One firm can cover the warehouse, the CRM, and the Microsoft tenant, which avoids splitting a project between three vendors. |
| + | Local office model means consultants are often in the same city as the client. |
| + | Snowflake Cortex Code preferred status (Q1 2026) is relevant for anyone putting AI over warehouse data. |
| + | Change-management and adoption work sits next to the engineering. |
| - | No public fixed-price pilot offer, so the first engagement is scoped from scratch |
| - | Consulting-firm rate structure puts small pilots on the expensive side |
| - | Headcount is a third-party estimate; Slalom doesn't publish a current figure |
| Addepto | |
|---|---|
| + | The $10K Clutch minimum lets small teams test an integration without a large commitment. |
| + | Experience with plant and engineering systems most AI vendors don't touch. |
| + | Clutch reviews average close to 4.9. |
| + | Data engineering and AI are scoped by the same team. |
| - | Acquired by KMS Technology in December 2025; long-term pricing and branding may change |
| - | Headcount varies a lot between directories |
| - | No managed-service offer for running systems after launch |
Who should choose Slalom?
A typical fit: putting a Cortex-based assistant on top of an existing Snowflake warehouse.
Partner depth across Snowflake, Microsoft, Salesforce, and OpenAI in one firm. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Public sector, Energy.
Who should choose Addepto?
A typical fit: search across CAD and PLM records with an LLM front end.
Integration work with industrial systems such as SCADA, CAD, and PLM. Minimum engagement starts at $10,000+ (Clutch). Works best with clients in Manufacturing, Energy, Logistics, Retail & e-commerce.
Decision matrix: Slalom vs Addepto
| Your situation | Recommended choice |
|---|---|
| You want a priced pilot before committing to a rollout | Neither advertises one; ask for a scoped pilot quote |
| You need someone to run and monitor the system after launch | Slalom |
| Your budget is at the lower end | Compare: Slalom (Not disclosed) vs Addepto ($10,000+ (Clutch)) |
| The AI has to read and write in your CRM or ERP | Slalom |
| You need multi-step agents acting across systems | Neither lists agentic work |
| You need a large team for a multi-year program | Slalom |
Use case fit: Slalom vs Addepto
| Use case | Slalom fit | Addepto fit | Winner |
|---|---|---|---|
| Putting a Cortex-based assistant on top of an existing Snowflake warehouse | Strong | Limited | Slalom |
| Adding generative features to a Salesforce org and a Microsoft tenant in one program | Strong | Limited | Slalom |
| Search across CAD and PLM records with an LLM front end | Limited | Strong | Addepto |
| Predictive maintenance from SCADA sensor history | Limited | Strong | Addepto |
Verdict: Slalom vs Addepto
Slalom (4.5/5) is the stronger overall choice for most AI Integration Services projects. Partner depth across Snowflake, Microsoft, Salesforce, and OpenAI in one firm.
Addepto (4.3/5) is worth a look if you need predictive maintenance from SCADA sensor history. If your situation matches that, Addepto is a competitive option.
Related comparisons
Slalom vs Addepto FAQ
Is Slalom better than Addepto?
Slalom (4.5/5) scores higher overall, but "better" depends on your use case. Slalom's strongest advantage: one firm can cover the warehouse, the CRM, and the Microsoft tenant, which avoids splitting a project between three vendors. Addepto's strongest advantage: the $10K Clutch minimum lets small teams test an integration without a large commitment.
How do Slalom and Addepto differ in pricing?
Slalom's pricing: time & materials and fixed-scope statements of work; rates on request. Addepto's pricing: fixed-scope projects and time & materials; $50–$99/hr (Clutch band) with a minimum engagement of $10,000+ (Clutch). Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.
Which is better for enterprise: Slalom or Addepto?
Slalom is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each provider before shortlisting.
What are the main differences between Slalom and Addepto?
Slalom's primary differentiator is: partner depth across Snowflake, Microsoft, Salesforce, and OpenAI in one firm. Addepto's primary differentiator is: integration work with industrial systems such as SCADA, CAD, and PLM. They also differ in team size (~8,000 vs 50–249), minimum engagement (Not disclosed vs $10,000+ (Clutch)), and primary industries served (Financial services, Healthcare vs Manufacturing, Energy).
Verify all details directly with each provider before making a decision.