TTMS vs Miquido: full comparison for 2026
Quick verdict
TTMS (4.5/5) edges ahead of Miquido (3.9/5) overall. TTMS is the better choice for pharma and regulated firms on Salesforce or Microsoft 365. Miquido is the stronger option for product teams adding AI to customer-facing apps. The right choice depends on your project size, budget, and required tech stack.
TTMS vs Miquido: head-to-head summary
| Criterion | TTMS | Miquido |
|---|---|---|
| Founded | 2015 | 2011 |
| HQ | Warsaw, Poland | Kraków, Poland |
| Team size | 800+ | 150–250 |
| Rating | 4.5 / 5 | 3.9 / 5 |
| Primary differentiator | Adds AI inside Salesforce, Microsoft 365 and Adobe Experience Manager for pharma and defense clients with strict validation rules | Product design and mobile engineering applied to AI features in apps |
| Pricing model | Fixed-price projects, T&M and dedicated teams; rates on request | $50–$99/hr (Clutch band); fixed-price and T&M |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Salesforce, Microsoft 365, Azure OpenAI | Azure OpenAI, Google Vertex AI, Flutter |
| Industries served | Pharma & life sciences, Defense, Manufacturing, Financial services | Financial services, Healthcare, Retail & e-commerce, Entertainment |
TTMS vs Miquido: 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.
Miquido
Miquido is a software product studio founded in 2011 in Kraków, Poland. Directory headcount estimates range from about 175 to more than 250 people. Clutch lists a $50–$99 hourly band and an overall rating of 4.9, with reviewers noting occasional difficulty scaling teams quickly. It now describes itself as an AI-native development firm, but most of its portfolio is consumer-facing apps rather than back-office system integration.
Services and capabilities: TTMS vs Miquido
| Capability | TTMS | Miquido |
|---|---|---|
| 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 Miquido
| Framework / platform | TTMS | Miquido |
|---|---|---|
| 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 | N/A |
| LangChain | N/A | ✓ |
| ServiceNow | N/A | N/A |
Pricing comparison: TTMS vs Miquido
| Criterion | TTMS | Miquido |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Time & materials, Dedicated team | Fixed project, Time & materials |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: TTMS vs Miquido
| Dimension | TTMS | Miquido |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Pharma & life sciences, Defense, Manufacturing | Financial services, Healthcare, Retail & e-commerce |
| Best use cases | Adding Copilot-style assistants to Microsoft 365 and Power Platform workflows., Document classification and extraction feeding Salesforce for pharma field teams. | Adding an AI assistant to a banking or fintech app., Personalized recommendations inside a mobile app. |
| Typical project type | Fixed project | Fixed project |
TTMS vs Miquido: 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 |
| Miquido | |
|---|---|
| + | Strong product design and mobile craft |
| + | Published Clutch rate band |
| + | Good fit for consumer-facing AI features |
| - | Little back-office integration work with CRM or ERP |
| - | Reviewers mention resource constraints when scaling up |
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 Miquido?
A typical fit: adding an AI assistant to a banking or fintech app.
Product design and mobile engineering applied to AI features in apps. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Entertainment.
Decision matrix: TTMS vs Miquido
| 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 Miquido (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 | Neither lists agentic AI work |
Use case fit: TTMS vs Miquido
| Use case | TTMS fit | Miquido fit | Winner |
|---|---|---|---|
| Adding Copilot-style assistants to Microsoft 365 and Power Platform workflows. | Strong | Strong | Both equally |
| Document classification and extraction feeding Salesforce for pharma field teams. | Strong | Limited | TTMS |
| Adding an AI assistant to a banking or fintech app. | Strong | Strong | Both equally |
| Personalized recommendations inside a mobile app. | Limited | Strong | Miquido |
Verdict: TTMS vs Miquido
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.
Miquido (3.9/5) is worth a look if you need personalized recommendations inside a mobile app. If your situation matches that, Miquido is a competitive option.
Related comparisons
TTMS vs Miquido FAQ
Is TTMS better than Miquido?
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. Miquido's strongest advantage: strong product design and mobile craft.
How do TTMS and Miquido differ in pricing?
TTMS pricing: Fixed-price projects, T&M and dedicated teams; rates on request. Miquido pricing: $50–$99/hr (Clutch band); fixed-price and T&M. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: TTMS or Miquido?
Miquido 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 Miquido?
TTMS's primary differentiator is: adds AI inside Salesforce, Microsoft 365 and Adobe Experience Manager for pharma and defense clients with strict validation rules. Miquido's primary differentiator is: product design and mobile engineering applied to AI features in apps. They also differ in team size (800+ vs 150–250), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Pharma & life sciences, Defense vs Financial services, Healthcare).
Verify all details directly with each company before making a decision.