DS Stream vs Addepto: full comparison for 2026
Quick verdict
DS Stream (4.2/5) edges ahead of Addepto (4.2/5) overall. DS Stream is the better choice for teams wanting packaged LLMOps at nearshore rates. Addepto is the stronger option for mid-size firms wanting tested LLM apps cheaply. The right choice depends on how far your pilot has got, your budget, and who will run the system after launch.
DS Stream vs Addepto: head-to-head summary
| Criterion | DS Stream | Addepto |
|---|---|---|
| Founded | 2017 | 2017 |
| HQ | Warsaw, Poland | Warsaw, Poland |
| Team size | 150–200 | 50–249 |
| Rating | 4.2 / 5 | 4.2 / 5 |
| Primary differentiator | Packaged LLMOps setup with evaluation, prompt versioning, guardrails, and model routing | Open-source LLM testing (ContextCheck) and a low $10,000+ Clutch entry point |
| Pricing model | Project and team pricing; rates on request | Project-based; $50–$99/hr (Clutch band) |
| Min. engagement | Not disclosed | $10,000+ (Clutch) |
| Primary tech stack | AWS, Google Cloud, Azure | Databricks, Azure, AWS |
| Industries served | Retail, Consumer goods, Financial services, Healthcare, Media | Manufacturing, Aviation, Logistics, Retail, Financial services |
DS Stream vs Addepto: overview
DS Stream
DS Stream was founded in Warsaw in 2017 and has between 150 and 200 engineers, with a US entity in Delaware. Its LLMOps offer bundles an evaluation harness, prompt versioning, guardrails, observability, and routing across several model providers. The company says clients see measurable impact in six to ten weeks on AWS, Google Cloud, or Azure (per company website; independently unverifiable). Data engineering is its other main line, which helps when the real blocker is the data feeding the model.
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.
Services and capabilities: DS Stream vs Addepto
| Capability | DS Stream | Addepto |
|---|---|---|
| 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: DS Stream vs Addepto
| Framework / platform | DS Stream | Addepto |
|---|---|---|
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | N/A |
| Kubernetes | ✓ | N/A |
| MLflow | N/A | N/A |
| Databricks | ✓ | ✓ |
| Amazon Bedrock | N/A | N/A |
| Vertex AI | N/A | N/A |
| LangChain | N/A | ✓ |
| Snowflake | N/A | N/A |
Pricing comparison: DS Stream vs Addepto
| Criterion | DS Stream | Addepto |
|---|---|---|
| Minimum engagement | Not disclosed | $10,000+ (Clutch) |
| Engagement models | Fixed-scope project, Dedicated team | Fixed-scope project, Time & materials, Dedicated team |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: DS Stream vs Addepto
| Dimension | DS Stream | Addepto |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail, Consumer goods, Financial services | Manufacturing, Aviation, Logistics |
| Best use cases | Adding evaluation and prompt versioning to a live LLM feature., Routing traffic across several model providers. | Testing a chatbot or LLM app before release., AI on manufacturing and aviation data. |
| Typical project type | Fixed-scope project | Fixed-scope project |
DS Stream vs Addepto: pros and cons
| DS Stream | |
|---|---|
| + | LLMOps comes as a defined package, which is easier to scope |
| + | Prompt versioning and guardrails are part of the default setup |
| + | Strong data engineering behind the AI work |
| + | Works across all three major clouds |
| - | Smaller and younger than most firms on this list |
| - | Its six-to-ten-week claim is the company's own |
| - | No staged-rollout or managed-run service named |
| 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 |
Who should choose DS Stream?
A typical fit: adding evaluation and prompt versioning to a live LLM feature.
Packaged LLMOps setup with evaluation, prompt versioning, guardrails, and model routing. Minimum engagement is not publicly disclosed. Works best with clients in Retail, Consumer goods, Financial services, Healthcare, Media.
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.
Decision matrix: DS Stream vs Addepto
| 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 | DS Stream |
| 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 | Both cover MLOps |
| You want a priced pilot before a full rollout | Neither advertises one; ask for a scoped quote |
| Your budget is at the lower end | Compare: DS Stream (Not disclosed) vs Addepto ($10,000+ (Clutch)) |
| You need a large team for many products at once | DS Stream |
Use case fit: DS Stream vs Addepto
| Use case | DS Stream fit | Addepto fit | Winner |
|---|---|---|---|
| Adding evaluation and prompt versioning to a live LLM feature. | Strong | Limited | DS Stream |
| Routing traffic across several model providers. | Strong | Limited | DS Stream |
| Testing a chatbot or LLM app before release. | Limited | Strong | Addepto |
| AI on manufacturing and aviation data. | Limited | Strong | Addepto |
Verdict: DS Stream vs Addepto
DS Stream (4.2/5) is the stronger overall choice for most AI Implementation projects. Packaged LLMOps setup with evaluation, prompt versioning, guardrails, and model routing.
Addepto (4.2/5) is worth a look if you need AI on manufacturing and aviation data. If your situation matches that, Addepto is a competitive option.
Related comparisons
DS Stream vs Addepto FAQ
Is DS Stream better than Addepto?
DS Stream (4.2/5) scores higher overall, but "better" depends on your use case. DS Stream's strongest advantage: LLMOps comes as a defined package, which is easier to scope. Addepto's strongest advantage: ContextCheck shows real investment in testing language models.
How do DS Stream and Addepto differ in pricing?
DS Stream's pricing: project and team pricing; rates on request. Addepto's pricing: project-based; $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: DS Stream or Addepto?
DS Stream 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 DS Stream and Addepto?
DS Stream's primary differentiator is: packaged LLMOps setup with evaluation, prompt versioning, guardrails, and model routing. Addepto's primary differentiator is: open-source LLM testing (ContextCheck) and a low $10,000+ Clutch entry point. They also differ in team size (150–200 vs 50–249), minimum engagement (Not disclosed vs $10,000+ (Clutch)), and primary industries served (Retail, Consumer goods vs Manufacturing, Aviation).
Verify all details directly with each provider before making a decision.