TTMS vs Quantiphi: full comparison for 2026
Quick verdict
TTMS (4.5/5) edges ahead of Quantiphi (4.3/5) overall. TTMS is the better choice for pharma and regulated firms on Salesforce or Microsoft 365. Quantiphi is the stronger option for google Cloud estates, high-volume document AI. The right choice depends on your project size, budget, and required tech stack.
TTMS vs Quantiphi: head-to-head summary
| Criterion | TTMS | Quantiphi |
|---|---|---|
| Founded | 2015 | 2013 |
| HQ | Warsaw, Poland | Marlborough, MA, USA |
| Team size | 800+ | 3,500+ |
| Rating | 4.5 / 5 | 4.3 / 5 |
| Primary differentiator | Adds AI inside Salesforce, Microsoft 365 and Adobe Experience Manager for pharma and defense clients with strict validation rules | Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments |
| Pricing model | Fixed-price projects, T&M and dedicated teams; rates on request | Fixed-price and T&M with offshore-weighted rates; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Salesforce, Microsoft 365, Azure OpenAI | Google Vertex AI, Google Document AI, AWS Bedrock |
| Industries served | Pharma & life sciences, Defense, Manufacturing, Financial services | Healthcare, Insurance, Financial services, Public sector, Media |
TTMS vs Quantiphi: 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.
Quantiphi
Quantiphi is an AI-first digital engineering firm founded in 2013, with U.S. headquarters in Marlborough, Massachusetts and most of its delivery staff in India. It employs about 3,500–4,000 people and holds premier-level partnerships with Google Cloud and AWS, plus many partner-of-the-year awards (exact counts differ across its own pages). Document AI, contact-centre AI and data modernization make up much of its published work.
Services and capabilities: TTMS vs Quantiphi
| Capability | TTMS | Quantiphi |
|---|---|---|
| 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 Quantiphi
| Framework / platform | TTMS | Quantiphi |
|---|---|---|
| Salesforce | ✓ | N/A |
| SAP | N/A | N/A |
| Microsoft Dynamics 365 | N/A | N/A |
| HubSpot | N/A | N/A |
| Snowflake | N/A | ✓ |
| Databricks | N/A | ✓ |
| Azure OpenAI | ✓ | N/A |
| AWS Bedrock | N/A | ✓ |
| LangChain | N/A | N/A |
| ServiceNow | N/A | N/A |
Pricing comparison: TTMS vs Quantiphi
| Criterion | TTMS | Quantiphi |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Time & materials, Dedicated team | Fixed project, Time & materials, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: TTMS vs Quantiphi
| Dimension | TTMS | Quantiphi |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Pharma & life sciences, Defense, Manufacturing | Healthcare, Insurance, 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. | Insurance claims intake with Document AI extraction and human review., Contact-centre AI on Google Cloud for a high-volume support operation. |
| Typical project type | Fixed project | Fixed project |
TTMS vs Quantiphi: 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 |
| Quantiphi | |
|---|---|
| + | Rare dual premier status with Google Cloud and AWS |
| + | Mature document AI practice for claims, forms and medical records |
| + | India-weighted delivery keeps blended rates below U.S. consultancies |
| + | Can scale teams quickly for large backlogs |
| - | Award and partner counts vary between its own pages, so confirm current tiers in partner directories |
| - | Offshore-heavy delivery needs strong client-side product ownership |
| - | Less visible work inside Salesforce or SAP |
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 Quantiphi?
A typical fit: insurance claims intake with Document AI extraction and human review.
Premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Insurance, Financial services, Public sector, Media.
Decision matrix: TTMS vs Quantiphi
| 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 Quantiphi (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 Quantiphi
| Use case | TTMS fit | Quantiphi 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 | Strong | Both equally |
| Insurance claims intake with Document AI extraction and human review. | Limited | Strong | Quantiphi |
| Contact-centre AI on Google Cloud for a high-volume support operation. | Limited | Strong | Quantiphi |
Verdict: TTMS vs Quantiphi
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.
Quantiphi (4.3/5) is worth a look if you need contact-centre AI on Google Cloud for a high-volume support operation. If your situation matches that, Quantiphi is a competitive option.
Related comparisons
TTMS vs Quantiphi FAQ
Is TTMS better than Quantiphi?
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. Quantiphi's strongest advantage: rare dual premier status with Google Cloud and AWS.
How do TTMS and Quantiphi differ in pricing?
TTMS pricing: Fixed-price projects, T&M and dedicated teams; rates on request. Quantiphi pricing: Fixed-price and T&M with offshore-weighted rates; 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 Quantiphi?
Quantiphi 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 Quantiphi?
TTMS's primary differentiator is: adds AI inside Salesforce, Microsoft 365 and Adobe Experience Manager for pharma and defense clients with strict validation rules. Quantiphi's primary differentiator is: premier partner on both Google Cloud and AWS, with a long run of Document AI and contact-centre deployments. They also differ in team size (800+ vs 3,500+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Pharma & life sciences, Defense vs Healthcare, Insurance).
Verify all details directly with each company before making a decision.