Top AI Integration Companies

TTMS vs Addepto: full comparison for 2026

Quick verdict

TTMS (4.5/5) edges ahead of Addepto (4.3/5) overall. TTMS is the better choice for pharma and regulated firms on Salesforce or Microsoft 365. Addepto is the stronger option for data teams needing warehouse work before an LLM project. The right choice depends on your project size, budget, and required tech stack.

TTMS vs Addepto: head-to-head summary

Criterion TTMS Addepto
Founded 2015 2018
HQ Warsaw, Poland Warsaw, Poland
Team size 800+ 50–249
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 Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored
Pricing model Fixed-price projects, T&M and dedicated teams; rates on request $50–$99/hr (Clutch band); discovery workshops, then T&M
Min. engagement Not disclosed $10,000+ (Clutch)
Primary tech stack Salesforce, Microsoft 365, Azure OpenAI Databricks, Snowflake, Azure OpenAI
Industries served Pharma & life sciences, Defense, Manufacturing, Financial services Manufacturing, Retail & e-commerce, Aviation, Financial services

TTMS vs Addepto: 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.

Addepto

Addepto is a Warsaw-based AI and data consultancy that started trading in April 2018 (some directories list 2017). Clutch shows 50–249 employees, a $50–$99 hourly band and a $10,000 minimum project. CB Insights reports that KMS Technology acquired the company in December 2025, after an earlier tie-up with Grape Up. Its work typically begins with data engineering and moves on to generative AI, MLOps and AI discovery workshops.

Services and capabilities: TTMS vs Addepto

Capability TTMS Addepto
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 Addepto

Framework / platform TTMS Addepto
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 ✓ ✓
AWS Bedrock N/A N/A
LangChain N/A ✓
ServiceNow N/A N/A

Pricing comparison: TTMS vs Addepto

Criterion TTMS Addepto
Minimum engagement Not disclosed $10,000+ (Clutch)
Engagement models Fixed project, Time & materials, Dedicated team Fixed project, Time & materials
Rate transparency Not public Minimum disclosed
Price tier Mid-market Accessible

Target audience comparison: TTMS vs Addepto

Dimension TTMS Addepto
Best company size Startup to mid-market Startup to mid-market
Best industries Pharma & life sciences, Defense, Manufacturing Manufacturing, Retail & e-commerce, Aviation
Best use cases Adding Copilot-style assistants to Microsoft 365 and Power Platform workflows., Document classification and extraction feeding Salesforce for pharma field teams. Building a Databricks lakehouse that later feeds demand forecasts and an internal assistant., Productionizing ML models with MLflow and monitoring.
Typical project type Fixed project Fixed project

TTMS vs Addepto: 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
Addepto
+ Publicly listed Clutch rate band and $10,000 minimum make budgeting straightforward
+ Databricks and Spark experience helps when the data estate is the real blocker
+ Discovery workshops scope use cases before larger spend
+ Predictive analytics and LLM work available from the same team
- Acquired by KMS Technology in December 2025 (per CB Insights), so ownership and leadership may change
- Corporate history includes several restructurings, which complicates long-term vendor planning
- Limited published work inside CRM platforms

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 Addepto?

A typical fit: building a Databricks lakehouse that later feeds demand forecasts and an internal assistant.

Data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored. Minimum engagement starts at $10,000+ (Clutch). Works best with clients in Manufacturing, Retail & e-commerce, Aviation, Financial services.

Decision matrix: TTMS vs Addepto

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 Addepto ($10,000+ (Clutch))
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 Addepto

Use case TTMS fit Addepto 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
Building a Databricks lakehouse that later feeds demand forecasts and an internal assistant. Limited Strong Addepto
Productionizing ML models with MLflow and monitoring. Limited Strong Addepto

Verdict: TTMS vs Addepto

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.

Addepto (4.3/5) is worth a look if you need productionizing ML models with MLflow and monitoring. If your situation matches that, Addepto is a competitive option.

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TTMS vs Addepto FAQ

Is TTMS better than Addepto?

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. Addepto's strongest advantage: publicly listed Clutch rate band and $10,000 minimum make budgeting straightforward.

How do TTMS and Addepto differ in pricing?

TTMS pricing: Fixed-price projects, T&M and dedicated teams; rates on request. Addepto pricing: $50–$99/hr (Clutch band); discovery workshops, then T&M. Minimum engagement: $10,000+ (Clutch). Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: TTMS or Addepto?

Addepto 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 Addepto?

TTMS's primary differentiator is: adds AI inside Salesforce, Microsoft 365 and Adobe Experience Manager for pharma and defense clients with strict validation rules. Addepto's primary differentiator is: data engineering and MLOps come first, so AI features sit on warehouses that are already clean and monitored. They also differ in team size (800+ vs 50–249), minimum engagement (Not disclosed vs $10,000+ (Clutch)), and primary industries served (Pharma & life sciences, Defense vs Manufacturing, Retail & e-commerce).

Verify all details directly with each company before making a decision.