Together AI

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

Fireworks AI

Fast, affordable open-source LLM inference API for production AI applications

Together AI

Caution

10/25

Fireworks AI

Caution

10/25

Score Breakdown

DimensionTogether AIFireworks AI

Data Residency

Where is your data stored and processed?

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.

Fireworks AI: US-only data centres. No EU data residency available. Personal data inference requires GDPR SCCs and transfer impact assessment.

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.

1/5

US-only data centres. No EU data residency available. Personal data inference requires GDPR SCCs and transfer impact assessment.

Legal Jurisdiction

Which laws govern the company and your data?

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.

Fireworks AI: California incorporation, subject to US law and CLOUD Act. GDPR DPA available for enterprise customers. No EU legal 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.

2/5

California incorporation, subject to US law and CLOUD Act. GDPR DPA available for enterprise customers. No EU legal structure.

Data Retention & Training

Is your data used for model training?

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.

Fireworks AI: Inference data not used for shared model training per privacy policy. Minimal logging for API requests. Reasonable baseline for a developer-focused inference API.

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.

4/5

Inference data not used for shared model training per privacy policy. Minimal logging for API requests. Reasonable baseline for a developer-focused inference API.

Certifications

ISO 27001, SOC 2, Cyber Essentials, etc.

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.

Fireworks AI: No published ISO 27001 or SOC 2 Type II certifications as of early 2026. Early-stage company with self-attested security posture. Not yet suitable for enterprise regulated-industry procurement.

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.

1/5

No published ISO 27001 or SOC 2 Type II certifications as of early 2026. Early-stage company with self-attested security posture. Not yet suitable for enterprise regulated-industry procurement.

Regulatory Fit

Suitability for regulated industries and professional services

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.

Fireworks AI: Suitable for development, prototyping, and non-personal-data inference workloads. US jurisdiction and lack of certifications make it unsuitable for regulated EU industries without significant additional controls.

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.

2/5

Suitable for development, prototyping, and non-personal-data inference workloads. US jurisdiction and lack of certifications make it unsuitable for regulated EU industries without significant additional controls.

Total Score

10/25

Best For

Together AI

Best for privacy-conscious teams who need strong data retention controls.

Fireworks AI

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

Detailed Comparison

Fireworks AI vs Together AI: Trust & Compliance Comparison

Fireworks AI (Fireworks AI, US) scores 10/25 overall with a Review Required (Caution) trust badge. Fast, affordable open-source LLM inference API for production AI applications. 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.

●Fireworks AI (1/5): US-only data centres. No EU data residency available. Personal data inference requires GDPR SCCs and transfer impact assessment.

●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.

●Fireworks AI (2/5): California incorporation, subject to US law and CLOUD Act. GDPR DPA available for enterprise customers. No EU legal 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

Both score equally at 4/5.

●Fireworks AI (4/5): Inference data not used for shared model training per privacy policy. Minimal logging for API requests. Reasonable baseline for a developer-focused inference API.

●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.

●Fireworks AI (1/5): No published ISO 27001 or SOC 2 Type II certifications as of early 2026. Early-stage company with self-attested security posture. Not yet suitable for enterprise regulated-industry procurement.

●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

Both score equally at 2/5.

●Fireworks AI (2/5): Suitable for development, prototyping, and non-personal-data inference workloads. US jurisdiction and lack of certifications make it unsuitable for regulated EU industries without significant additional controls.

●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

Fireworks AI and Together AI are closely matched on trust and compliance, with scores of 10/25 and 10/25 respectively. The right choice depends on your specific regulatory requirements and existing technology stack.

Frequently Asked Questions

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

Together AI has a TrustKit score of 10/25 while Fireworks AI scores 10/25. Both tools are currently rated equally across data residency, legal jurisdiction, data retention, certifications, and regulatory fit.

How do Together AI and Fireworks AI compare on data residency?

Together AI scores 1/5 for data residency (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.), while Fireworks AI scores 1/5 (US-only data centres. No EU data residency available. Personal data inference requires GDPR SCCs and transfer impact assessment.).

Are Together AI and Fireworks AI GDPR compliant?

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

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