Addepto vs Netguru: full comparison for 2026
Quick verdict
Addepto (4.2/5) edges ahead of Netguru (3.9/5) overall. Addepto is the better choice for mid-size firms wanting tested LLM apps cheaply. Netguru is the stronger option for product teams adding AI features to apps. The right choice depends on how far your pilot has got, your budget, and who will run the system after launch.
Addepto vs Netguru: head-to-head summary
| Criterion | Addepto | Netguru |
|---|---|---|
| Founded | 2017 | 2008 |
| HQ | Warsaw, Poland | Poznań, Poland |
| Team size | 50–249 | 250–999 |
| Rating | 4.2 / 5 | 3.9 / 5 |
| Primary differentiator | Open-source LLM testing (ContextCheck) and a low $10,000+ Clutch entry point | AI features shipped as part of web and mobile product work |
| Pricing model | Project-based; $50–$99/hr (Clutch band) | Project and team pricing; $50–$99/hr (Clutch band) |
| Min. engagement | $10,000+ (Clutch) | $50,000+ (Clutch) |
| Primary tech stack | Databricks, Azure, AWS | AWS, Google Cloud, OpenAI |
| Industries served | Manufacturing, Aviation, Logistics, Retail, Financial services | Retail & e-commerce, Fintech, Education, Healthcare |
Addepto vs Netguru: 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.
Netguru
Netguru was founded in Poznań in 2008, and Clutch lists 250 to 999 employees. It builds web and mobile products and now adds AI features to marketplaces, retail apps, and business software. Clutch lists $50–$99 an hour and a $50,000+ minimum project. The best fit is a product team that wants an AI feature shipped alongside regular app work.
Services and capabilities: Addepto vs Netguru
| Capability | Addepto | Netguru |
|---|---|---|
| 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 Netguru
| Framework / platform | Addepto | Netguru |
|---|---|---|
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | 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 | N/A |
Pricing comparison: Addepto vs Netguru
| Criterion | Addepto | Netguru |
|---|---|---|
| Minimum engagement | $10,000+ (Clutch) | $50,000+ (Clutch) |
| Engagement models | Fixed-scope project, Time & materials, Dedicated team | Fixed-scope project, Time & materials, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Mid-market |
Target audience comparison: Addepto vs Netguru
| Dimension | Addepto | Netguru |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Aviation, Logistics | Retail & e-commerce, Fintech, Education |
| Best use cases | Testing a chatbot or LLM app before release., AI on manufacturing and aviation data. | AI search or assistants inside a marketplace., Adding generative features to a mobile app. |
| Typical project type | Fixed-scope project | Fixed-scope project |
Addepto vs Netguru: 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 |
| Netguru | |
|---|---|
| + | Strong product design and app engineering |
| + | Published Clutch rates |
| + | Experience with marketplaces and retail apps |
| - | AI is one part of a general product business |
| - | Light on MLOps and monitoring tooling |
| - | No managed-run service listed |
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 Netguru?
A typical fit: AI search or assistants inside a marketplace.
AI features shipped as part of web and mobile product work. Minimum engagement starts at $50,000+ (Clutch). Works best with clients in Retail & e-commerce, Fintech, Education, Healthcare.
Decision matrix: Addepto vs Netguru
| 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 | Neither advertises one; ask for a scoped quote |
| Your budget is at the lower end | Addepto |
| You need a large team for many products at once | Netguru |
Use case fit: Addepto vs Netguru
| Use case | Addepto fit | Netguru fit | Winner |
|---|---|---|---|
| Testing a chatbot or LLM app before release. | Strong | Limited | Addepto |
| AI on manufacturing and aviation data. | Strong | Limited | Addepto |
| AI search or assistants inside a marketplace. | Limited | Strong | Netguru |
| Adding generative features to a mobile app. | Limited | Strong | Netguru |
Verdict: Addepto vs Netguru
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.
Netguru (3.9/5) is worth a look if you need adding generative features to a mobile app. If your situation matches that, Netguru is a competitive option.
Related comparisons
Addepto vs Netguru FAQ
Is Addepto better than Netguru?
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. Netguru's strongest advantage: strong product design and app engineering.
How do Addepto and Netguru differ in pricing?
Addepto's pricing: project-based; $50–$99/hr (Clutch band) with a minimum engagement of $10,000+ (Clutch). Netguru's pricing: project and team pricing; $50–$99/hr (Clutch band) with a minimum engagement of $50,000+ (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 Netguru?
Netguru 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 Netguru?
Addepto's primary differentiator is: open-source LLM testing (ContextCheck) and a low $10,000+ Clutch entry point. Netguru's primary differentiator is: AI features shipped as part of web and mobile product work. They also differ in team size (50–249 vs 250–999), minimum engagement ($10,000+ (Clutch) vs $50,000+ (Clutch)), and primary industries served (Manufacturing, Aviation vs Retail & e-commerce, Fintech).
Verify all details directly with each provider before making a decision.