Top AI Integration Companies

Tensorway vs Thoughtworks: full comparison for 2026

Quick verdict

Tensorway (4.8/5) edges ahead of Thoughtworks (4.1/5) overall. Tensorway is the better choice for mid-market firms adding AI to existing CRM and ERP. Thoughtworks is the stronger option for engineering-led firms that value delivery practice. The right choice depends on your project size, budget, and required tech stack.

Tensorway vs Thoughtworks: head-to-head summary

Criterion Tensorway Thoughtworks
Founded 2019 1993
HQ Alicante, Spain Chicago, IL, USA
Team size 50+ 10,000+
Rating 4.8 / 5 4.1 / 5
Primary differentiator Integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call Long-standing engineering discipline, testing and continuous delivery applied to AI features
Pricing model Fixed price for the audit and pilot, then dedicated team or managed service; API run cost estimated during the pilot T&M with senior-weighted teams; rates on request
Min. engagement Not disclosed Not disclosed
Primary tech stack Salesforce, HubSpot, Microsoft Dynamics 365 Azure OpenAI, AWS Bedrock, Google Vertex AI
Industries served Legal services, Financial services, Healthcare records, Retail & e-commerce, Private equity Financial services, Retail, Public sector, Healthcare

Tensorway vs Thoughtworks: overview

Tensorway

Tensorway is an AI-first engineering company founded in 2019 and headquartered in Alicante, Spain, with a team of more than 50. Its integration work runs on top of existing platforms such as Salesforce, HubSpot, Dynamics 365, SAP, Oracle and NetSuite, so clients keep their systems of record and skip a migration. Requests pass through a single gateway that masks personal data before it reaches a model and limits each answer to documents the employee is already allowed to open. For Liner Legal, a U.S. law practice, it cut medical-record processing from roughly a week to 5–15 minutes and automated about four days of manual CRM reconciliation (per company website; independently unverifiable). The delivery leads behind it bring 20-plus years of business-software engineering to the work.

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.

Services and capabilities: Tensorway vs Thoughtworks

Capability Tensorway Thoughtworks
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: Tensorway vs Thoughtworks

Framework / platform Tensorway Thoughtworks
Salesforce ✓ N/A
SAP ✓ N/A
Microsoft Dynamics 365 ✓ N/A
HubSpot ✓ N/A
Snowflake ✓ N/A
Databricks ✓ ✓
Azure OpenAI N/A ✓
AWS Bedrock N/A ✓
LangChain N/A N/A
ServiceNow N/A N/A

Pricing comparison: Tensorway vs Thoughtworks

Criterion Tensorway Thoughtworks
Minimum engagement Not disclosed Not disclosed
Engagement models Fixed-scope audit or pilot, Dedicated team, Managed services Time & materials, Dedicated team
Rate transparency Not public Not public
Price tier Mid-market Mid-market

Target audience comparison: Tensorway vs Thoughtworks

Dimension Tensorway Thoughtworks
Best company size Startup to mid-market Enterprise
Best industries Legal services, Financial services, Healthcare records Financial services, Retail, Public sector
Best use cases Reconciling CRM records against case or order data that staff currently match by hand., Extracting and cross-checking fields from medical records, invoices or contracts, then routing them into the ERP. Modernizing a legacy application and adding AI features in the same programme., Setting up evaluation and release practices for LLM features.
Typical project type Fixed-scope audit or pilot Time & materials

Tensorway vs Thoughtworks: pros and cons

Tensorway
+ Works against the systems you already own, and where a platform has no usable API it reads from database replicas, message queues or file exports
+ Personal data is masked before a prompt leaves your perimeter, and answers respect the same document permissions the employee has today
+ A one-week system audit produces an integration plan and ROI estimate before any build money is committed
+ The first workflow goes live on real data in 2–4 weeks and is measured against the baseline taken during the audit
+ One gateway logs every request, enforces rate limits and tracks token spend per feature, which makes the monthly AI bill explainable
- No prices are published, so you only see a number after the scoping call
- A team of 50+ has no round-the-clock global delivery footprint like the large integrators
- Its pages list no certifications and no named partner tier with an LLM provider or hyperscaler
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

Who should choose Tensorway?

A typical fit: reconciling CRM records against case or order data that staff currently match by hand.

Integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call. Minimum engagement is not publicly disclosed. Works best with clients in Legal services, Financial services, Healthcare records, Retail & e-commerce, Private equity.

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.

Decision matrix: Tensorway vs Thoughtworks

Your situation Recommended choice
You want a fixed-price audit or pilot before committing Tensorway
AI has to work inside your existing CRM or ERP Tensorway
Personal data must be masked and answers limited by user permissions Tensorway
Your budget is at the lower end Compare: Tensorway (Not disclosed) vs Thoughtworks (Not disclosed)
You want the vendor to run the AI service after launch Tensorway
You are building multi-step agents across systems Neither lists agentic AI work

Use case fit: Tensorway vs Thoughtworks

Use case Tensorway fit Thoughtworks fit Winner
Reconciling CRM records against case or order data that staff currently match by hand. Strong Limited Tensorway
Extracting and cross-checking fields from medical records, invoices or contracts, then routing them into the ERP. Strong Limited Tensorway
Modernizing a legacy application and adding AI features in the same programme. Limited Strong Thoughtworks
Setting up evaluation and release practices for LLM features. Limited Strong Thoughtworks

Verdict: Tensorway vs Thoughtworks

Tensorway (4.8/5) is the stronger overall choice for most AI Integration projects. Integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call.

Thoughtworks (4.1/5) is worth a look if you need setting up evaluation and release practices for LLM features. If your situation matches that, Thoughtworks is a competitive option.

Related comparisons

Tensorway vs Thoughtworks FAQ

Is Tensorway better than Thoughtworks?

Tensorway (4.8/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: works against the systems you already own, and where a platform has no usable API it reads from database replicas, message queues or file exports. Thoughtworks's strongest advantage: strong testing and continuous-delivery culture carries over to model and prompt changes.

How do Tensorway and Thoughtworks differ in pricing?

Tensorway pricing: Fixed price for the audit and pilot, then dedicated team or managed service; API run cost estimated during the pilot. Thoughtworks pricing: T&M with senior-weighted teams; rates on request. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Tensorway or Thoughtworks?

Thoughtworks 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 Tensorway and Thoughtworks?

Tensorway's primary differentiator is: integrates with the CRM and ERP you already run, with PII redaction and per-user access rules applied before any model call. Thoughtworks's primary differentiator is: long-standing engineering discipline, testing and continuous delivery applied to AI features. They also differ in team size (50+ vs 10,000+), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Legal services, Financial services vs Financial services, Retail).

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