deepsense.ai vs Addepto: full comparison for 2026
Quick verdict
deepsense.ai (4.5/5) edges ahead of Addepto (4.3/5) overall. deepsense.ai is the better choice for teams needing RAG and evaluation done properly. 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.
deepsense.ai vs Addepto: head-to-head summary
| Criterion | deepsense.ai | Addepto |
|---|---|---|
| Founded | 2014 | 2018 |
| HQ | Warsaw, Poland | Warsaw, Poland |
| Team size | 101–200 | 50–249 |
| Rating | 4.5 / 5 | 4.3 / 5 |
| Primary differentiator | Evaluation frameworks that test model output before it reaches users | Integration work with industrial systems such as SCADA, CAD, and PLM |
| Pricing model | Time & materials and fixed-scope projects; $100–$149/hr (Clutch band) | Fixed-scope projects and time & materials; $50–$99/hr (Clutch band) |
| Min. engagement | $25,000+ (Clutch) | $10,000+ (Clutch) |
| Primary tech stack | LangChain, Azure OpenAI, AWS Bedrock | Databricks, Azure OpenAI, Snowflake |
| Industries served | Retail & e-commerce, Manufacturing, Financial services, Telecom | Manufacturing, Energy, Logistics, Retail & e-commerce |
deepsense.ai vs Addepto: overview
deepsense.ai
deepsense.ai is a Warsaw AI engineering company founded in 2014 with 100–200 staff. Its recent Clutch-listed work centers on agentic systems that automate internal workflows, retrieval-augmented generation (RAG) knowledge platforms, voice AI on telephony, and evaluation frameworks for testing models before release. Its research background predates the current LLM wave by several years. Clutch shows a $100–$149 hourly band and a $25,000 minimum, which places it at the upper end of European rates.
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: deepsense.ai vs Addepto
| Capability | deepsense.ai | 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: deepsense.ai vs Addepto
| Framework / platform | deepsense.ai | Addepto |
|---|---|---|
| Salesforce | N/A | N/A |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | N/A | ✓ |
| Databricks | ✓ | ✓ |
| BigQuery | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | ✓ | N/A |
| Zendesk | N/A | N/A |
Pricing comparison: deepsense.ai vs Addepto
| Criterion | deepsense.ai | Addepto |
|---|---|---|
| Minimum engagement | $25,000+ (Clutch) | $10,000+ (Clutch) |
| Engagement models | Fixed-scope project, Time & materials, Dedicated team | Fixed-scope project, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: deepsense.ai vs Addepto
| Dimension | deepsense.ai | Addepto |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail & e-commerce, Manufacturing, Financial services | Manufacturing, Energy, Logistics |
| Best use cases | Building a RAG assistant over product manuals with measured answer accuracy, Voice agents that answer inbound calls and write back to a ticketing tool | 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 |
deepsense.ai vs Addepto: pros and cons
| deepsense.ai | |
|---|---|
| + | Builds evaluation suites that measure accuracy before a feature ships. |
| + | Voice AI over phone lines is an uncommon skill among integration vendors. |
| + | A ten-year ML track record means classical models and LLMs can be mixed when one alone won't do. |
| + | Clients still give it 4.8–4.9 on Clutch's cost score despite the higher rate band. |
| - | The $100–$149 Clutch band is high for Central European delivery |
| - | Enterprise CRM and ERP connectors are not where its case studies concentrate |
| - | Post-launch managed service isn't a packaged offer |
| 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 deepsense.ai?
A typical fit: building a RAG assistant over product manuals with measured answer accuracy.
Evaluation frameworks that test model output before it reaches users. Minimum engagement starts at $25,000+ (Clutch). Works best with clients in Retail & e-commerce, Manufacturing, Financial services, Telecom.
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: deepsense.ai 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 | Neither; plan for your own team to run it |
| Your budget is at the lower end | Addepto |
| The AI has to read and write in your CRM or ERP | Check each profile; neither lists CRM or ERP work |
| You need multi-step agents acting across systems | deepsense.ai |
| You need a large team for a multi-year program | deepsense.ai |
Use case fit: deepsense.ai vs Addepto
| Use case | deepsense.ai fit | Addepto fit | Winner |
|---|---|---|---|
| Building a RAG assistant over product manuals with measured answer accuracy | Strong | Limited | deepsense.ai |
| Voice agents that answer inbound calls and write back to a ticketing tool | Strong | Limited | deepsense.ai |
| Search across CAD and PLM records with an LLM front end | Limited | Strong | Addepto |
| Predictive maintenance from SCADA sensor history | Limited | Strong | Addepto |
Verdict: deepsense.ai vs Addepto
deepsense.ai (4.5/5) is the stronger overall choice for most AI Integration Services projects. Evaluation frameworks that test model output before it reaches users.
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
deepsense.ai vs Addepto FAQ
Is deepsense.ai better than Addepto?
deepsense.ai (4.5/5) scores higher overall, but "better" depends on your use case. deepsense.ai's strongest advantage: builds evaluation suites that measure accuracy before a feature ships. Addepto's strongest advantage: the $10K Clutch minimum lets small teams test an integration without a large commitment.
How do deepsense.ai and Addepto differ in pricing?
deepsense.ai's pricing: time & materials and fixed-scope projects; $100–$149/hr (Clutch band) with a minimum engagement of $25,000+ (Clutch). 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: deepsense.ai or Addepto?
deepsense.ai 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 deepsense.ai and Addepto?
deepsense.ai's primary differentiator is: evaluation frameworks that test model output before it reaches users. Addepto's primary differentiator is: integration work with industrial systems such as SCADA, CAD, and PLM. They also differ in team size (101–200 vs 50–249), minimum engagement ($25,000+ (Clutch) vs $10,000+ (Clutch)), and primary industries served (Retail & e-commerce, Manufacturing vs Manufacturing, Energy).
Verify all details directly with each provider before making a decision.