TTMS vs deepsense.ai: full comparison for 2026
Quick verdict
TTMS (4.5/5) edges ahead of deepsense.ai (4.4/5) overall. TTMS is the better choice for pharma and regulated firms on Salesforce or Microsoft 365. deepsense.ai is the stronger option for engineering teams wanting a strong RAG partner. The right choice depends on your project size, budget, and required tech stack.
TTMS vs deepsense.ai: head-to-head summary
| Criterion | TTMS | deepsense.ai |
|---|---|---|
| Founded | 2015 | 2014 |
| HQ | Warsaw, Poland | Warsaw, Poland |
| Team size | 800+ | 101–200 |
| Rating | 4.5 / 5 | 4.4 / 5 |
| Primary differentiator | Adds AI inside Salesforce, Microsoft 365 and Adobe Experience Manager for pharma and defense clients with strict validation rules | Research-grade ML engineers who build retrieval systems and evaluate them with measurable accuracy targets |
| Pricing model | Fixed-price projects, T&M and dedicated teams; rates on request | T&M and dedicated teams; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Salesforce, Microsoft 365, Azure OpenAI | LangChain, Azure OpenAI, AWS Bedrock |
| Industries served | Pharma & life sciences, Defense, Manufacturing, Financial services | Manufacturing, Retail, Financial services, Healthcare |
TTMS vs deepsense.ai: overview
TTMS
TTMS (Transition Technologies MS) was formed in 2015 inside Poland's Transition Technologies group and is headquartered in Warsaw's Varso Tower, with subsidiaries in the UK, Denmark, Switzerland, Malaysia and India. It is a platform-partner firm, certified with Salesforce, Microsoft, Adobe and Webcon, and it attaches AI features to those platforms rather than building standalone apps. The company reports more than 800 specialists and PLN 233.7 million in 2024 revenue. Pharma and defense are its most established sectors.
deepsense.ai
deepsense.ai is an AI-first engineering company founded in 2014 out of the AI division of CodiLime, with headquarters in Warsaw and an office in Palo Alto. It employs roughly 120–200 people, including several Kaggle competition winners. Its integration work centres on LLM applications using retrieval-augmented generation (RAG), plus computer vision and edge deployments for manufacturing. It lists technical partnerships with OpenAI, NVIDIA, Anyscale and LangChain.
Services and capabilities: TTMS vs deepsense.ai
| Capability | TTMS | deepsense.ai |
|---|---|---|
| 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: TTMS vs deepsense.ai
| Framework / platform | TTMS | deepsense.ai |
|---|---|---|
| Salesforce | ✓ | N/A |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | N/A | N/A |
| Databricks | N/A | N/A |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | N/A | ✓ |
| LangChain | N/A | ✓ |
| ServiceNow | N/A | N/A |
Pricing comparison: TTMS vs deepsense.ai
| Criterion | TTMS | deepsense.ai |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Time & materials, Dedicated team | Time & materials, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: TTMS vs deepsense.ai
| Dimension | TTMS | deepsense.ai |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Pharma & life sciences, Defense, Manufacturing | Manufacturing, Retail, Financial services |
| Best use cases | Adding Copilot-style assistants to Microsoft 365 and Power Platform workflows., Document classification and extraction feeding Salesforce for pharma field teams. | Retrieval assistants over technical manuals or internal knowledge bases., Visual defect detection on production lines with edge inference. |
| Typical project type | Fixed project | Time & materials |
TTMS vs deepsense.ai: pros and cons
| TTMS | |
|---|---|
| + | Certified partner status with Salesforce and Microsoft, the two platforms most mid-size AI integrations touch |
| + | Experience in validated pharma environments, where every change to a system needs documentation |
| + | European delivery with EU data handling as the default |
| + | Large enough to staff multi-platform work, small enough to keep senior people on the account |
| - | Part of a larger Polish group, so some decisions sit above the operating company |
| - | AI is one practice among many, and standalone model engineering is thinner than at AI-first firms |
| - | Little published detail on LLM cost controls or model routing |
| deepsense.ai | |
|---|---|
| + | Deep ML talent, with evaluation of retrieval quality treated as part of the build |
| + | Experience deploying models on edge hardware as well as in the cloud |
| + | Open publication record and active LangChain contribution history |
| + | Comfortable working alongside an in-house data team |
| - | Less experience embedding AI inside packaged CRM or ERP products |
| - | Engagements lean toward engineering capacity, with less change-management support |
Who should choose TTMS?
A typical fit: adding Copilot-style assistants to Microsoft 365 and Power Platform workflows.
Adds AI inside Salesforce, Microsoft 365 and Adobe Experience Manager for pharma and defense clients with strict validation rules. Minimum engagement is not publicly disclosed. Works best with clients in Pharma & life sciences, Defense, Manufacturing, Financial services.
Who should choose deepsense.ai?
A typical fit: retrieval assistants over technical manuals or internal knowledge bases.
Research-grade ML engineers who build retrieval systems and evaluate them with measurable accuracy targets. Minimum engagement is not publicly disclosed. Works best with clients in Manufacturing, Retail, Financial services, Healthcare.
Decision matrix: TTMS vs deepsense.ai
| 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 | TTMS |
| 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: TTMS (Not disclosed) vs deepsense.ai (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 | deepsense.ai |
Use case fit: TTMS vs deepsense.ai
| Use case | TTMS fit | deepsense.ai fit | Winner |
|---|---|---|---|
| Adding Copilot-style assistants to Microsoft 365 and Power Platform workflows. | Strong | Limited | TTMS |
| Document classification and extraction feeding Salesforce for pharma field teams. | Strong | Limited | TTMS |
| Retrieval assistants over technical manuals or internal knowledge bases. | Limited | Strong | deepsense.ai |
| Visual defect detection on production lines with edge inference. | Limited | Strong | deepsense.ai |
Verdict: TTMS vs deepsense.ai
TTMS (4.5/5) is the stronger overall choice for most AI Integration projects. Adds AI inside Salesforce, Microsoft 365 and Adobe Experience Manager for pharma and defense clients with strict validation rules.
deepsense.ai (4.4/5) is worth a look if you need visual defect detection on production lines with edge inference. If your situation matches that, deepsense.ai is a competitive option.
Related comparisons
TTMS vs deepsense.ai FAQ
Is TTMS better than deepsense.ai?
TTMS (4.5/5) scores higher overall, but "better" depends on your use case. TTMS's strongest advantage: certified partner status with Salesforce and Microsoft, the two platforms most mid-size AI integrations touch. deepsense.ai's strongest advantage: deep ML talent, with evaluation of retrieval quality treated as part of the build.
How do TTMS and deepsense.ai differ in pricing?
TTMS pricing: Fixed-price projects, T&M and dedicated teams; rates on request. deepsense.ai pricing: T&M and dedicated teams; rates on request. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: TTMS or deepsense.ai?
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 company before shortlisting.
What are the main differences between TTMS and deepsense.ai?
TTMS's primary differentiator is: adds AI inside Salesforce, Microsoft 365 and Adobe Experience Manager for pharma and defense clients with strict validation rules. deepsense.ai's primary differentiator is: research-grade ML engineers who build retrieval systems and evaluate them with measurable accuracy targets. They also differ in team size (800+ vs 101–200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Pharma & life sciences, Defense vs Manufacturing, Retail).
Verify all details directly with each company before making a decision.