Replicate

Run any machine learning model via API with a single line of code

Together AI

Open-source LLM inference and fine-tuning platform for enterprise AI builders

Replicate

Caution

8/25

Together AI

Caution

10/25

Score Breakdown

DimensionReplicateTogether AI

Data Residency

Where is your data stored and processed?

Replicate: US-only infrastructure. No EU data residency. Not suitable for GDPR personal data processing without SCCs.

Together AI: All inference and fine-tuning workloads processed in US data centres. No EU data residency option. GDPR transfer mechanisms (SCCs) required for European personal data processing.

1/5

US-only infrastructure. No EU data residency. Not suitable for GDPR personal data processing without SCCs.

1/5

All inference and fine-tuning workloads processed in US data centres. No EU data residency option. GDPR transfer mechanisms (SCCs) required for European personal data processing.

Legal Jurisdiction

Which laws govern the company and your data?

Replicate: Delaware incorporation, US jurisdiction. CLOUD Act applies. Basic GDPR privacy documentation available but no enterprise DPA structure.

Together AI: Incorporated in Delaware, US. Subject to CLOUD Act. GDPR DPA available for enterprise customers contractually, but US jurisdiction governs. No EU subsidiary structure.

2/5

Delaware incorporation, US jurisdiction. CLOUD Act applies. Basic GDPR privacy documentation available but no enterprise DPA structure.

2/5

Incorporated in Delaware, US. Subject to CLOUD Act. GDPR DPA available for enterprise customers contractually, but US jurisdiction governs. No EU subsidiary structure.

Data Retention & Training

Is your data used for model training?

Replicate: Community model ecosystem means data handling varies. Platform states it does not use request data for shared model training. Data governance documentation is less mature than enterprise-focused providers.

Together AI: Clear policy that customer data and fine-tuning datasets are not used to train shared models. Fine-tuned model weights are customer property. Good baseline for data isolation, but residency limitation remains.

3/5

Community model ecosystem means data handling varies. Platform states it does not use request data for shared model training. Data governance documentation is less mature than enterprise-focused providers.

4/5

Clear policy that customer data and fine-tuning datasets are not used to train shared models. Fine-tuned model weights are customer property. Good baseline for data isolation, but residency limitation remains.

Certifications

ISO 27001, SOC 2, Cyber Essentials, etc.

Replicate: No published independent security certifications. Self-attested privacy practices. Not suitable for enterprise regulated-industry procurement without significant additional vendor due diligence.

Together AI: No published ISO 27001, SOC 2 Type II, or independent security certifications as of early 2026. Security practices are self-attested. Significant gap for enterprise procurement in regulated industries.

1/5

No published independent security certifications. Self-attested privacy practices. Not suitable for enterprise regulated-industry procurement without significant additional vendor due diligence.

1/5

No published ISO 27001, SOC 2 Type II, or independent security certifications as of early 2026. Security practices are self-attested. Significant gap for enterprise procurement in regulated industries.

Regulatory Fit

Suitability for regulated industries and professional services

Replicate: Best suited for experimentation, research, and non-personal-data use cases. Not recommended for EU regulated industries. Personal data processing via Replicate requires comprehensive GDPR controls and is not advisable for production workloads.

Together AI: Not suitable for GDPR-regulated personal data processing without SCCs and TIA. Good for development, prototyping, and non-personal-data AI workloads. US jurisdiction and absence of certifications limit suitability for regulated EU industries.

1/5

Best suited for experimentation, research, and non-personal-data use cases. Not recommended for EU regulated industries. Personal data processing via Replicate requires comprehensive GDPR controls and is not advisable for production workloads.

2/5

Not suitable for GDPR-regulated personal data processing without SCCs and TIA. Good for development, prototyping, and non-personal-data AI workloads. US jurisdiction and absence of certifications limit suitability for regulated EU industries.

Total Score

8/25

10/25

Best For

Replicate

Best for teams that prioritise data retention & training (scores 3/5) and need a review required-tier tool.

Together AI

Best for privacy-conscious teams who need strong data retention controls; teams on a tight budget.

Detailed Comparison

Replicate vs Together AI: Trust & Compliance Comparison

Replicate (Replicate, US) scores 8/25 overall with a Review Required (Caution) trust badge. Run any machine learning model via API with a single line of code. Together AI (Together AI, US) scores 10/25 with a Review Required (Caution) trust badge. Open-source LLM inference and fine-tuning platform for enterprise AI builders.

Dimension-by-Dimension Breakdown

#### Data Residency

Both score equally at 1/5.

●Replicate (1/5): US-only infrastructure. No EU data residency. Not suitable for GDPR personal data processing without SCCs.

●Together AI (1/5): All inference and fine-tuning workloads processed in US data centres. No EU data residency option. GDPR transfer mechanisms (SCCs) required for European personal data processing.

#### Legal Jurisdiction

Both score equally at 2/5.

●Replicate (2/5): Delaware incorporation, US jurisdiction. CLOUD Act applies. Basic GDPR privacy documentation available but no enterprise DPA structure.

●Together AI (2/5): Incorporated in Delaware, US. Subject to CLOUD Act. GDPR DPA available for enterprise customers contractually, but US jurisdiction governs. No EU subsidiary structure.

#### Data Retention & Training

Together AI leads with 4/5 vs 3/5.

●Replicate (3/5): Community model ecosystem means data handling varies. Platform states it does not use request data for shared model training. Data governance documentation is less mature than enterprise-focused providers.

●Together AI (4/5): Clear policy that customer data and fine-tuning datasets are not used to train shared models. Fine-tuned model weights are customer property. Good baseline for data isolation, but residency limitation remains.

#### Certifications

Both score equally at 1/5.

●Replicate (1/5): No published independent security certifications. Self-attested privacy practices. Not suitable for enterprise regulated-industry procurement without significant additional vendor due diligence.

●Together AI (1/5): No published ISO 27001, SOC 2 Type II, or independent security certifications as of early 2026. Security practices are self-attested. Significant gap for enterprise procurement in regulated industries.

#### Regulatory Fit

Together AI leads with 2/5 vs 1/5.

●Replicate (1/5): Best suited for experimentation, research, and non-personal-data use cases. Not recommended for EU regulated industries. Personal data processing via Replicate requires comprehensive GDPR controls and is not advisable for production workloads.

●Together AI (2/5): Not suitable for GDPR-regulated personal data processing without SCCs and TIA. Good for development, prototyping, and non-personal-data AI workloads. US jurisdiction and absence of certifications limit suitability for regulated EU industries.

Overall Verdict

Together AI has a clear trust advantage, scoring 10/25 compared to Replicate's 8/25. Together AI particularly excels in data retention & training, regulatory fit.

Frequently Asked Questions

Which is better for EU compliance, Replicate or Together AI?

Replicate has a TrustKit score of 8/25 while Together AI scores 10/25. Together AI currently rates higher across data residency, legal jurisdiction, data retention, certifications, and regulatory fit.

How do Replicate and Together AI compare on data residency?

Replicate scores 1/5 for data residency (US-only infrastructure. No EU data residency. Not suitable for GDPR personal data processing without SCCs.), while Together AI scores 1/5 (All inference and fine-tuning workloads processed in US data centres. No EU data residency option. GDPR transfer mechanisms (SCCs) required for European personal data processing.).

Are Replicate and Together AI GDPR compliant?

Both tools are assessed across five compliance dimensions. Replicate has a regulatory fit score of 1/5 and Together AI scores 2/5. Check the full comparison above for a detailed breakdown.

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