Thoughtworks vs Globant: full comparison for 2026
Quick verdict
Thoughtworks (4.3/5) edges ahead of Globant (4.0/5) overall. Thoughtworks is the better choice for engineering orgs wanting disciplined AI delivery. Globant is the stronger option for US firms wanting nearshore AI engineering. The right choice depends on how far your pilot has got, your budget, and who will run the system after launch.
Thoughtworks vs Globant: head-to-head summary
| Criterion | Thoughtworks | Globant |
|---|---|---|
| Founded | 1993 | 2003 |
| HQ | Chicago, USA | Luxembourg (operations: Buenos Aires) |
| Team size | 10,000 | 28,500+ |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Primary differentiator | Continuous delivery practice applied to models and prompts, with tool views published in its Technology Radar | Nearshore Latin American engineering teams in US time zones |
| Pricing model | Time & materials and fixed-scope work; rates not published | Time & materials and dedicated teams; rates not published |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | AWS, Azure, Google Cloud | Google Cloud, AWS, Azure |
| Industries served | Financial services, Retail, Healthcare, Public sector, Energy | Media, Retail, Financial services, Travel, Healthcare |
Thoughtworks vs Globant: overview
Thoughtworks
Thoughtworks was founded in Chicago in 1993 and has roughly 10,000 staff. Apax Partners took it private in a deal announced in August 2024 and valued at about $1.75 billion. The firm popularized continuous delivery for machine learning (CD4ML), and its production AI work applies the same habits of automated testing, versioning, and small releases to models and prompts. Its twice-yearly Technology Radar lets you see its tool opinions before you hire it.
Globant
Globant was founded in 2003 in Buenos Aires, is legally domiciled in Luxembourg, and employs more than 28,500 people. It is listed on the New York Stock Exchange. Its AI work runs through studios that combine design and engineering, with nearshore delivery that keeps time zones close for US clients. Production AI usually comes inside a wider digital product program.
Services and capabilities: Thoughtworks vs Globant
| Capability | Thoughtworks | Globant |
|---|---|---|
| LLM gateway & model routing | ✗ | ✗ |
| Regression tests on prompt and model changes | ✓ | ✗ |
| Canary or staged rollout | ✓ | ✗ |
| Hallucination and drift monitoring | ✗ | ✗ |
| MLOps & model serving | ✓ | ✗ |
| Fixed-scope pilot | ✗ | ✗ |
| Managed run after launch | ✗ | ✗ |
Tech stack comparison: Thoughtworks vs Globant
| Framework / platform | Thoughtworks | Globant |
|---|---|---|
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | ✓ |
| Kubernetes | ✓ | N/A |
| MLflow | N/A | N/A |
| Databricks | ✓ | ✓ |
| Amazon Bedrock | N/A | N/A |
| Vertex AI | N/A | N/A |
| LangChain | N/A | N/A |
| Snowflake | N/A | N/A |
Pricing comparison: Thoughtworks vs Globant
| Criterion | Thoughtworks | Globant |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed-scope project, Time & materials, Dedicated team | Time & materials, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Thoughtworks vs Globant
| Dimension | Thoughtworks | Globant |
|---|---|---|
| Best company size | Enterprise | Enterprise |
| Best industries | Financial services, Retail, Healthcare | Media, Retail, Financial services |
| Best use cases | Setting up continuous delivery for models and prompts., Rescuing an AI project stuck because of weak engineering practice. | AI features inside consumer digital products., Nearshore AI engineering teams for US companies. |
| Typical project type | Fixed-scope project | Time & materials |
Thoughtworks vs Globant: pros and cons
| Thoughtworks | |
|---|---|
| + | Automated testing and small, frequent releases are standard practice |
| + | Coined much of the CD4ML vocabulary other firms now use |
| + | Public Technology Radar shows its reasoning on tools |
| + | Teaches client engineers its methods while working |
| - | Taken private by Apax in 2024, so leadership and costs are in flux |
| - | Premium rates for a consultancy of its type |
| - | No managed-run service focused on AI |
| Globant | |
|---|---|
| + | Nearshore teams share working hours with US clients |
| + | Large design and engineering capacity |
| + | Public company with regular disclosures |
| - | AI is one part of a broad digital business |
| - | Large-firm process for small pilots |
| - | Rates not published |
Who should choose Thoughtworks?
A typical fit: setting up continuous delivery for models and prompts.
Continuous delivery practice applied to models and prompts, with tool views published in its Technology Radar. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Retail, Healthcare, Public sector, Energy.
Who should choose Globant?
A typical fit: AI features inside consumer digital products.
Nearshore Latin American engineering teams in US time zones. Minimum engagement is not publicly disclosed. Works best with clients in Media, Retail, Financial services, Travel, Healthcare.
Decision matrix: Thoughtworks vs Globant
| Your situation | Recommended choice |
|---|---|
| Your pilot works but nobody trusts it in production yet | Thoughtworks |
| Model API spend is growing faster than usage | Neither lists a gateway; ask how cost per feature is tracked |
| You need someone to watch quality after launch | Neither; plan for your own team to monitor it |
| You run classic ML models that need serving and retraining | Thoughtworks |
| You want a priced pilot before a full rollout | Neither advertises one; ask for a scoped quote |
| Your budget is at the lower end | Compare: Thoughtworks (Not disclosed) vs Globant (Not disclosed) |
| You need a large team for many products at once | Globant |
Use case fit: Thoughtworks vs Globant
| Use case | Thoughtworks fit | Globant fit | Winner |
|---|---|---|---|
| Setting up continuous delivery for models and prompts. | Strong | Limited | Thoughtworks |
| Rescuing an AI project stuck because of weak engineering practice. | Strong | Limited | Thoughtworks |
| AI features inside consumer digital products. | Limited | Strong | Globant |
| Nearshore AI engineering teams for US companies. | Limited | Strong | Globant |
Verdict: Thoughtworks vs Globant
Thoughtworks (4.3/5) is the stronger overall choice for most AI Implementation projects. Continuous delivery practice applied to models and prompts, with tool views published in its Technology Radar.
Globant (4.0/5) is worth a look if you need nearshore AI engineering teams for US companies. If your situation matches that, Globant is a competitive option.
Related comparisons
Thoughtworks vs Globant FAQ
Is Thoughtworks better than Globant?
Thoughtworks (4.3/5) scores higher overall, but "better" depends on your use case. Thoughtworks's strongest advantage: automated testing and small, frequent releases are standard practice. Globant's strongest advantage: nearshore teams share working hours with US clients.
How do Thoughtworks and Globant differ in pricing?
Thoughtworks's pricing: time & materials and fixed-scope work; rates not published. Globant's pricing: time & materials and dedicated teams; rates not published. 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: Thoughtworks or Globant?
Globant 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 Thoughtworks and Globant?
Thoughtworks's primary differentiator is: continuous delivery practice applied to models and prompts, with tool views published in its Technology Radar. Globant's primary differentiator is: nearshore Latin American engineering teams in US time zones. They also differ in team size (10,000 vs 28,500+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Retail vs Media, Retail).
Verify all details directly with each provider before making a decision.