Addepto vs RTS Labs: full comparison for 2026
Quick verdict
Addepto (4.2/5) edges ahead of RTS Labs (4.1/5) overall. Addepto is the better choice for mid-size firms wanting tested LLM apps cheaply. RTS Labs is the stronger option for US mid-market firms on a small budget. The right choice depends on how far your pilot has got, your budget, and who will run the system after launch.
Addepto vs RTS Labs: head-to-head summary
| Criterion | Addepto | RTS Labs |
|---|---|---|
| Founded | 2017 | 2010 |
| HQ | Warsaw, Poland | Glen Allen, USA |
| Team size | 50–249 | 100+ |
| Rating | 4.2 / 5 | 4.1 / 5 |
| Primary differentiator | Open-source LLM testing (ContextCheck) and a low $10,000+ Clutch entry point | The lowest entry point on this page, with a committed ship date for production code |
| Pricing model | Project-based; $50–$99/hr (Clutch band) | Fixed-scope projects; $25–$49/hr (Clutch band) |
| Min. engagement | $10,000+ (Clutch) | $5,000+ (Clutch) |
| Primary tech stack | Databricks, Azure, AWS | AWS, Azure, Python |
| Industries served | Manufacturing, Aviation, Logistics, Retail, Financial services | Logistics, Financial services, Healthcare, Manufacturing, Retail |
Addepto vs RTS Labs: overview
Addepto
Addepto was founded in Warsaw in 2017 and was acquired in December 2025 by KMS Technology, an Atlanta engineering company backed by Sunstone Partners. It built ContextCheck, an open-source framework for testing language models and chatbots, which says something about how it approaches quality before release. Its chief executive says 97% of staff are AI engineers (per company website; independently unverifiable). Clutch lists $50–$99 an hour and a $10,000+ minimum project.
RTS Labs
RTS Labs is based in the Richmond, Virginia area and says it has 100+ US-based staff (per company website; independently unverifiable). It gives 2010 as its founding year, though Clutch lists 2012. The firm promises production-grade code with a defined ship date and quotes eight to twelve weeks from brief to production for its main implementations (per company website). Clutch lists $25–$49 an hour and a $5,000+ minimum, the lowest entry point on this page.
Services and capabilities: Addepto vs RTS Labs
| Capability | Addepto | RTS Labs |
|---|---|---|
| LLM gateway & model routing | ✗ | ✗ |
| Regression tests on prompt and model changes | ✓ | ✗ |
| Canary or staged rollout | ✗ | ✗ |
| Hallucination and drift monitoring | ✗ | ✗ |
| MLOps & model serving | ✓ | ✗ |
| Fixed-scope pilot | ✗ | ✓ |
| Managed run after launch | ✗ | ✗ |
Tech stack comparison: Addepto vs RTS Labs
| Framework / platform | Addepto | RTS Labs |
|---|---|---|
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | N/A |
| MLflow | N/A | N/A |
| Databricks | ✓ | N/A |
| Amazon Bedrock | N/A | N/A |
| Vertex AI | N/A | N/A |
| LangChain | ✓ | N/A |
| Snowflake | N/A | ✓ |
Pricing comparison: Addepto vs RTS Labs
| Criterion | Addepto | RTS Labs |
|---|---|---|
| Minimum engagement | $10,000+ (Clutch) | $5,000+ (Clutch) |
| Engagement models | Fixed-scope project, Time & materials, Dedicated team | Fixed-scope pilot, Fixed-scope project, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
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, Aviation, Logistics | Logistics, Financial services, Healthcare |
| Best use cases | Testing a chatbot or LLM app before release., AI on manufacturing and aviation data. | Shipping one AI workflow to production in a few months., Logistics and operations agents for mid-size US firms. |
| Typical project type | Fixed-scope project | Fixed-scope pilot |
Addepto vs RTS Labs: pros and cons
| Addepto | |
|---|---|
| + | ContextCheck shows real investment in testing language models |
| + | A $10,000+ Clutch minimum makes a small first project possible |
| + | Databricks experience for data-heavy builds |
| + | Team is almost all engineers |
| - | Acquired by KMS Technology in December 2025, so teams and priorities may change |
| - | No managed-run service listed |
| - | Less depth on staged rollouts than the leaders |
| RTS Labs | |
|---|---|
| + | A $5,000+ Clutch minimum is the lowest on this page |
| + | Commits to a ship date, which keeps pilots from drifting |
| + | All-US team for clients that need domestic staff |
| + | Connects AI to logistics and operational systems |
| - | Less visible LLMOps tooling than the specialists |
| - | Founding year and headcount differ between its site and Clutch |
| - | US-only team |
Who should choose Addepto?
A typical fit: testing a chatbot or LLM app before release.
Open-source LLM testing (ContextCheck) and a low $10,000+ Clutch entry point. Minimum engagement starts at $10,000+ (Clutch). Works best with clients in Manufacturing, Aviation, Logistics, Retail, Financial services.
Who should choose RTS Labs?
A typical fit: shipping one AI workflow to production in a few months.
The lowest entry point on this page, with a committed ship date for production code. Minimum engagement starts at $5,000+ (Clutch). Works best with clients in Logistics, Financial services, Healthcare, Manufacturing, Retail.
Decision matrix: Addepto vs RTS Labs
| Your situation | Recommended choice |
|---|---|
| Your pilot works but nobody trusts it in production yet | Ask each for its release and rollback process |
| Model API spend is growing faster than usage | Neither lists a gateway; ask how cost per feature is tracked |
| You need someone to watch quality after launch | Neither; plan for your own team to monitor it |
| You run classic ML models that need serving and retraining | Addepto |
| You want a priced pilot before a full rollout | RTS Labs |
| Your budget is at the lower end | RTS Labs |
| You need a large team for many products at once | RTS Labs |
Use case fit: Addepto vs RTS Labs
| Use case | Addepto fit | RTS Labs fit | Winner |
|---|---|---|---|
| Testing a chatbot or LLM app before release. | Strong | Limited | Addepto |
| AI on manufacturing and aviation data. | Strong | Limited | Addepto |
| Shipping one AI workflow to production in a few months. | Limited | Strong | RTS Labs |
| Logistics and operations agents for mid-size US firms. | Limited | Strong | RTS Labs |
Verdict: Addepto vs RTS Labs
Addepto (4.2/5) is the stronger overall choice for most AI Implementation projects. Open-source LLM testing (ContextCheck) and a low $10,000+ Clutch entry point.
RTS Labs (4.1/5) is worth a look if you need logistics and operations agents for mid-size US firms. 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 (4.2/5) scores higher overall, but "better" depends on your use case. Addepto's strongest advantage: ContextCheck shows real investment in testing language models. RTS Labs's strongest advantage: a $5,000+ Clutch minimum is the lowest on this page.
How do Addepto and RTS Labs differ in pricing?
Addepto's pricing: project-based; $50–$99/hr (Clutch band) with a minimum engagement of $10,000+ (Clutch). RTS Labs's pricing: fixed-scope projects; $25–$49/hr (Clutch band) with a minimum engagement of $5,000+ (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: 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 provider before shortlisting.
What are the main differences between Addepto and RTS Labs?
Addepto's primary differentiator is: open-source LLM testing (ContextCheck) and a low $10,000+ Clutch entry point. RTS Labs's primary differentiator is: the lowest entry point on this page, with a committed ship date for production code. They also differ in team size (50–249 vs 100+), minimum engagement ($10,000+ (Clutch) vs $5,000+ (Clutch)), and primary industries served (Manufacturing, Aviation vs Logistics, Financial services).
Verify all details directly with each provider before making a decision.