Addepto vs RTS Labs: full comparison for 2026
Quick verdict
Addepto (4.3/5) edges ahead of RTS Labs (4.2/5) overall. Addepto is the better choice for data teams needing warehouse work before an LLM project. RTS Labs is the stronger option for U.S. mid-market firms with stalled AI pilots. The right choice depends on your project size, budget, and required tech stack.
Addepto vs RTS Labs: head-to-head summary
| Criterion | Addepto | RTS Labs |
|---|---|---|
| Founded | 2018 | 2010 |
| HQ | Warsaw, Poland | Glen Allen, VA, USA |
| Team size | 50–249 | 51–200 |
| Rating | 4.3 / 5 | 4.2 / 5 |
| Primary differentiator | Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored | Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections |
| Pricing model | $50–$99/hr (Clutch band); discovery workshops, then T&M | Fixed-scope assessments and builds, then T&M; rates on request |
| Min. engagement | $10,000+ (Clutch) | Not disclosed |
| Primary tech stack | Databricks, Snowflake, Azure OpenAI | Salesforce, Snowflake, Azure OpenAI |
| Industries served | Manufacturing, Retail & e-commerce, Aviation, Financial services | Logistics, Financial services, Healthcare, Manufacturing |
Addepto vs RTS Labs: 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.
RTS Labs
RTS Labs is a U.S. software and data consultancy founded in 2010, headquartered in Glen Allen, Virginia, near Richmond. It began with custom software, Salesforce implementation and business intelligence, and now positions itself as an implementation partner that takes AI and data systems from pilot to production. It says it has more than 100 senior engineers and AI architects and deploys in 8–12 weeks (per company website; independently unverifiable). Third-party estimates put headcount at 51–100.
Services and capabilities: Addepto vs RTS Labs
| Capability | Addepto | RTS Labs |
|---|---|---|
| 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 RTS Labs
| Framework / platform | Addepto | RTS Labs |
|---|---|---|
| Salesforce | N/A | ✓ |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | ✓ | ✓ |
| Databricks | ✓ | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | N/A | ✓ |
| LangChain | ✓ | N/A |
| ServiceNow | N/A | N/A |
Pricing comparison: Addepto vs RTS Labs
| Criterion | Addepto | RTS Labs |
|---|---|---|
| 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 RTS Labs
| Dimension | Addepto | RTS Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Retail & e-commerce, Aviation | Logistics, Financial services, Healthcare |
| Best use cases | Building a Databricks lakehouse that later feeds demand forecasts and an internal assistant., Productionizing ML models with MLflow and monitoring. | Connecting an AI agent to ERP order data for a logistics company., Rescuing a stalled proof of concept and putting it into production. |
| Typical project type | Fixed project | Fixed project |
Addepto vs RTS Labs: 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 |
| RTS Labs | |
|---|---|
| + | Onshore U.S. delivery suits buyers who need data to stay with domestic staff |
| + | Salesforce implementation history helps when the CRM is part of the build |
| + | Explicit focus on production readiness, monitoring and fine-tuning after launch |
| + | Mid-market size keeps engagement minimums modest |
| - | Deployment-time and client-count claims are self-reported |
| - | Glassdoor employee reviews average about 3.0, which may point to retention issues |
| - | Smaller bench than national consultancies |
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 RTS Labs?
A typical fit: connecting an AI agent to ERP order data for a logistics company.
Onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections. Minimum engagement is not publicly disclosed. Works best with clients in Logistics, Financial services, Healthcare, Manufacturing.
Decision matrix: Addepto vs RTS Labs
| 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 | RTS Labs |
| 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 RTS Labs (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 | RTS Labs |
Use case fit: Addepto vs RTS Labs
| Use case | Addepto fit | RTS Labs 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 |
| Connecting an AI agent to ERP order data for a logistics company. | Limited | Strong | RTS Labs |
| Rescuing a stalled proof of concept and putting it into production. | Limited | Strong | RTS Labs |
Verdict: Addepto vs RTS Labs
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.
RTS Labs (4.2/5) is worth a look if you need rescuing a stalled proof of concept and putting it into production. If your situation matches that, RTS Labs is a competitive option.
Related comparisons
Addepto vs RTS Labs FAQ
Is Addepto better than RTS Labs?
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. RTS Labs's strongest advantage: onshore U.S. delivery suits buyers who need data to stay with domestic staff.
How do Addepto and RTS Labs differ in pricing?
Addepto pricing: $50–$99/hr (Clutch band); discovery workshops, then T&M. Minimum engagement: $10,000+ (Clutch). RTS Labs pricing: Fixed-scope assessments and builds, then 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 RTS Labs?
RTS Labs 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 RTS Labs?
Addepto's primary differentiator is: data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored. RTS Labs's primary differentiator is: onshore U.S. team focused on getting a stalled pilot into production with ERP and CRM connections. They also differ in team size (50–249 vs 51–200), minimum engagement ($10,000+ (Clutch) vs Not disclosed), and primary industries served (Manufacturing, Retail & e-commerce vs Logistics, Financial services).
Verify all details directly with each company before making a decision.