Thoughtworks vs InData Labs: full comparison for 2026
Quick verdict
Thoughtworks (4.1/5) edges ahead of InData Labs (4.1/5) overall. Thoughtworks is the better choice for engineering-led firms that value delivery practice. InData Labs is the stronger option for mid-size firms needing forecasting and data science. The right choice depends on your project size, budget, and required tech stack.
Thoughtworks vs InData Labs: head-to-head summary
| Criterion | Thoughtworks | InData Labs |
|---|---|---|
| Founded | 1993 | 2014 |
| HQ | Chicago, IL, USA | Nicosia, Cyprus |
| Team size | 10,000+ | 50–249 |
| Rating | 4.1 / 5 | 4.1 / 5 |
| Primary differentiator | Long-standing engineering discipline, testing and continuous delivery applied to AI features | Data-science-led team that builds predictive models alongside generative features |
| Pricing model | T&M with senior-weighted teams; rates on request | Fixed-price and T&M; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Azure OpenAI, AWS Bedrock, Google Vertex AI | Python, Azure OpenAI, AWS Bedrock |
| Industries served | Financial services, Retail, Public sector, Healthcare | Retail & e-commerce, Healthcare, Financial services, Logistics |
Thoughtworks vs InData Labs: overview
Thoughtworks
Thoughtworks is a software engineering consultancy founded in 1993 and headquartered in Chicago, with about 10,000 people across 18 countries. Apax Partners took it private in a deal of about $1.75 billion that completed in November 2024, after a restructuring that cut 6–7% of staff. It now markets AI-first software delivery, and in March 2026 it formed an AI-focused joint venture with consulting firm Teneo. Its reputation rests on engineering practice more than on packaged integrations.
InData Labs
InData Labs is a data science and AI company founded in 2014 and headquartered in Nicosia, Cyprus, with offices in Vilnius and Miami. Clutch lists 50–249 employees, and the firm says it has delivered 150+ projects since 2014 (per company website; independently unverifiable). Clutch shows AI development as more than half of its work, followed by BI and big data consulting. Reviewers praise its data science skill and mention slower proposal and planning cycles.
Services and capabilities: Thoughtworks vs InData Labs
| Capability | Thoughtworks | InData Labs |
|---|---|---|
| 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: Thoughtworks vs InData Labs
| Framework / platform | Thoughtworks | InData Labs |
|---|---|---|
| Salesforce | N/A | 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 |
| Azure OpenAI | ✓ | ✓ |
| AWS Bedrock | ✓ | ✓ |
| LangChain | N/A | N/A |
| ServiceNow | N/A | N/A |
Pricing comparison: Thoughtworks vs InData Labs
| Criterion | Thoughtworks | InData Labs |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Time & materials, Dedicated team | Fixed project, Time & materials |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Thoughtworks vs InData Labs
| Dimension | Thoughtworks | InData Labs |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Financial services, Retail, Public sector | Retail & e-commerce, Healthcare, Financial services |
| Best use cases | Modernizing a legacy application and adding AI features in the same programme., Setting up evaluation and release practices for LLM features. | Churn or demand models that feed a BI dashboard., Document extraction for invoices and receipts. |
| Typical project type | Time & materials | Fixed project |
Thoughtworks vs InData Labs: pros and cons
| Thoughtworks | |
|---|---|
| + | Strong testing and continuous-delivery culture carries over to model and prompt changes |
| + | Publishes its Technology Radar, which offers a transparent view of its technical opinions |
| + | Comfortable modernizing legacy systems alongside the AI work |
| - | Taken private by Apax Partners in 2024 after cost-cutting, so the account team may change |
| - | Few packaged integrations for CRM or ERP suites |
| - | Senior-heavy teams carry higher blended rates |
| InData Labs | |
|---|---|
| + | Long track record in classical data science as well as LLM work |
| + | EU-registered company with Lithuanian delivery |
| + | Strong Clutch reviews on technical quality |
| - | Reviewers note slower proposals and planning |
| - | Limited published integration work inside large CRM or ERP suites |
| - | Headcount estimates vary widely between directories |
Who should choose Thoughtworks?
A typical fit: modernizing a legacy application and adding AI features in the same programme.
Long-standing engineering discipline, testing and continuous delivery applied to AI features. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Retail, Public sector, Healthcare.
Who should choose InData Labs?
A typical fit: churn or demand models that feed a BI dashboard.
Data-science-led team that builds predictive models alongside generative features. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Healthcare, Financial services, Logistics.
Decision matrix: Thoughtworks vs InData Labs
| 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 | Neither lists CRM/ERP integration work |
| 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: Thoughtworks (Not disclosed) vs InData Labs (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: Thoughtworks vs InData Labs
| Use case | Thoughtworks fit | InData Labs fit | Winner |
|---|---|---|---|
| Modernizing a legacy application and adding AI features in the same programme. | Strong | Limited | Thoughtworks |
| Setting up evaluation and release practices for LLM features. | Strong | Limited | Thoughtworks |
| Churn or demand models that feed a BI dashboard. | Limited | Strong | InData Labs |
| Document extraction for invoices and receipts. | Limited | Strong | InData Labs |
Verdict: Thoughtworks vs InData Labs
Thoughtworks (4.1/5) is the stronger overall choice for most AI Integration projects. Long-standing engineering discipline, testing and continuous delivery applied to AI features.
InData Labs (4.1/5) is worth a look if you need document extraction for invoices and receipts. If your situation matches that, InData Labs is a competitive option.
Related comparisons
Thoughtworks vs InData Labs FAQ
Is Thoughtworks better than InData Labs?
Thoughtworks (4.1/5) scores higher overall, but "better" depends on your use case. Thoughtworks's strongest advantage: strong testing and continuous-delivery culture carries over to model and prompt changes. InData Labs's strongest advantage: long track record in classical data science as well as LLM work.
How do Thoughtworks and InData Labs differ in pricing?
Thoughtworks pricing: T&M with senior-weighted teams; rates on request. InData Labs pricing: Fixed-price and T&M; rates on request. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Thoughtworks or InData Labs?
InData Labs 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 Thoughtworks and InData Labs?
Thoughtworks's primary differentiator is: long-standing engineering discipline, testing and continuous delivery applied to AI features. InData Labs's primary differentiator is: data-science-led team that builds predictive models alongside generative features. They also differ in team size (10,000+ vs 50–249), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Retail vs Retail & e-commerce, Healthcare).
Verify all details directly with each company before making a decision.