Platforms
Expert Network
Build & Train AI
Vertical AI
Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.
Platforms
Expert Network
Build & Train AI
Vertical AI
Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.
Platforms
Expert Network
Build & Train AI
Vertical AI
Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.
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PRISM Evaluation Suite · v2.0 · May 2026
Benchmarking AI
across seven domains
The PRISM suite provides rigorous assessments of frontier models across Internationalization, Audio, Vision, Agentic & RL, Physical AI, Healthcare, and AI Safety.
7
Domains
12
Benchmarks
10K+
Eval Tasks
30+
Models Evaluated
PRISM Evaluation Suite · v2.0 · May 2026
Benchmarking AI
across seven domains
The PRISM suite provides rigorous assessments of frontier models across Internationalization, Audio, Vision, Agentic & RL, Physical AI, Healthcare, and AI Safety.
7
Domains
12
Benchmarks
10K+
Eval Tasks
30+
Models Evaluated
PRISM Evaluation Suite · v2.0 · May 2026
Benchmarking AI
across seven domains
The PRISM suite provides rigorous assessments of frontier models across Internationalization, Audio, Vision, Agentic & RL, Physical AI, Healthcare, and AI Safety.
7
Domains
12
Benchmarks
10K+
Eval Tasks
30+
Models Evaluated
PRISM Evaluation Suite · v2.0 · May 2026
Benchmarking AI
across seven domains
The PRISM suite provides rigorous assessments of frontier models across Internationalization, Audio, Vision, Agentic & RL, Physical AI, Healthcare, and AI Safety.
7
Domains
12
Benchmarks
10K+
Eval Tasks
30+
Models Evaluated
PRISM-Safety
1 Benchmark
AI Safety & Alignment
Multi-turn adversarial red-teaming of frontier LLMs — chained attack strategies, domain-specific safety failures, and policy bypass attempts across real-world risk surfaces. Benchmarked by Reinforce Labs (Centific's partner) under the Responsible AI domain.
FLINT Benchmark · Multi-Turn Adversarial Safety Red-Teaming
Responsible AI Security benchmark by Reinforce Labs (Centific's partner) — 1,406 adversarial conversations · 11 frontier models · 4 policy categories · 5 attack methods · 13.73 avg turns per simulation. Tests whether models withstand sophisticated multi-step adversarial attacks. Lower ASR = stronger guardrails.
Attack Success Rate — Lower is Better
Avg ASR across all 5 attack methods · bar = safety margin (100% − ASR)
Model Rankings
Avg ASR · lower = safer
Flint ASR vs Actor Attack ASR
Bottom-left = strongest safety · Flint is hardest (68.6% avg) · Actor Attack easiest (20.5% avg)
Full Model Comparison
| MODEL | TYPE | FLINT | CRESCENDO | OPPOSITE DAY | ACTOR ATTACK | ACRONYM | AVG ASR |
|---|---|---|---|---|---|---|---|
| Claude Sonnet 4.5 | PropProp | 4.20% | 20.80% | 8.30% | 4.20% | 8.30% | 9.20% |
| Claude Opus 4.1 | PropProp | 37.50% | 25% | 0% | 12.50% | 0% | 15% |
| GPT 5 Nano | PropProp | 58.30% | 16.70% | 0% | 4.20% | 4.20% | 16.70% |
| GPT 5.1 | PropProp | 70.80% | 45.80% | 15.30% | 29.20% | 12.50% | 34.70% |
| Gemini 3 Pro Preview | PropProp | 79.20% | 54.20% | 7.90% | 29.20% | 8.30% | 35.70% |
| Gemini 2.5 Flash | PropProp | 79.20% | 58.30% | 11.10% | 25% | 29.20% | 40.60% |
| Moonshot AI Kimi K2 | OpenOpen | 83.30% | 70.80% | 30.60% | 25% | 12.50% | 44.40% |
| Grok 4 | PropProp | 79.20% | 75% | 50% | 8.30% | 16.70% | 45.80% |
| Llama 4 Maverick 17B | OpenOpen | 87.50% | 75% | 35.60% | 16.70% | 33.30% | 49.60% |
| Grok 4 Non-Reasoning | PropProp | 91.70% | 87.50% | 28.20% | 45.80% | 29.20% | 56.50% |
| Qwen3 Next 80B | OpenOpen | 83.30% | 70.80% | 62% | 25% | 58.30% | 59.90% |
FLINT Benchmark · Multi-Turn Adversarial Safety Red-Teaming
Responsible AI Security benchmark by Reinforce Labs (Centific's partner) — 1,406 adversarial conversations · 11 frontier models · 4 policy categories · 5 attack methods · 13.73 avg turns per simulation. Tests whether models withstand sophisticated multi-step adversarial attacks. Lower ASR = stronger guardrails.
Attack Success Rate — Lower is Better
Avg ASR across all 5 attack methods · bar = safety margin (100% − ASR)
Model Rankings
Avg ASR · lower = safer
Flint ASR vs Actor Attack ASR
Bottom-left = strongest safety · Flint is hardest (68.6% avg) · Actor Attack easiest (20.5% avg)
Full Model Comparison
| MODEL | TYPE | FLINT | CRESCENDO | OPPOSITE DAY | ACTOR ATTACK | ACRONYM | AVG ASR |
|---|---|---|---|---|---|---|---|
| Claude Sonnet 4.5 | PropProp | 4.20% | 20.80% | 8.30% | 4.20% | 8.30% | 9.20% |
| Claude Opus 4.1 | PropProp | 37.50% | 25% | 0% | 12.50% | 0% | 15% |
| GPT 5 Nano | PropProp | 58.30% | 16.70% | 0% | 4.20% | 4.20% | 16.70% |
| GPT 5.1 | PropProp | 70.80% | 45.80% | 15.30% | 29.20% | 12.50% | 34.70% |
| Gemini 3 Pro Preview | PropProp | 79.20% | 54.20% | 7.90% | 29.20% | 8.30% | 35.70% |
| Gemini 2.5 Flash | PropProp | 79.20% | 58.30% | 11.10% | 25% | 29.20% | 40.60% |
| Moonshot AI Kimi K2 | OpenOpen | 83.30% | 70.80% | 30.60% | 25% | 12.50% | 44.40% |
| Grok 4 | PropProp | 79.20% | 75% | 50% | 8.30% | 16.70% | 45.80% |
| Llama 4 Maverick 17B | OpenOpen | 87.50% | 75% | 35.60% | 16.70% | 33.30% | 49.60% |
| Grok 4 Non-Reasoning | PropProp | 91.70% | 87.50% | 28.20% | 45.80% | 29.20% | 56.50% |
| Qwen3 Next 80B | OpenOpen | 83.30% | 70.80% | 62% | 25% | 58.30% | 59.90% |
Security
Robust data security and confidentiality
Robust data security and confidentiality
across enterprise, regulated, and mission-critical AI systems.
across enterprise, regulated, and mission-critical AI systems.
Disciplined security and privacy practices aligned with global standards to protect sensitive data, intellectual property, and model assets throughout the AI lifecycle.
Centific applies rigorous security, access control, and auditability standards to safeguard enterprise data, human workflows, and AI systems at scale.
ISO 27001
Enterprise-grade information security governance. Enterprise-grade information security governance. Enterprise-grade information security governance
SOC2
HIPAA
GDPR
ISO 27001
Enterprise-grade information security governance. Enterprise-grade information security governance. Enterprise-grade information security governance
SOC2
HIPAA
GDPR
FAQ
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Centific is an enterprise-grade AI data and human-in-the-loop platform used by global organizations to build, train, and evaluate high-performance AI systems. We provide multimodal data sourcing, annotation, evaluation, and RLHF at scale—supported by a global workforce, advanced tooling, and rigorous governance.
Centific combines strict data governance, secure infrastructure, access-controlled workflows, and multi-layered quality assurance. All data operations follow enterprise-grade standards, including compliance with global regulations, human-review protocols, and continuous QA cycles. Every dataset and task is tracked, validated, and auditable to guarantee accuracy, privacy, and security.
Centific supports multimodal data needs across text, image, video, audio, sensor data, and synthetic data. We power annotation, enrichment, classification, evaluation, RLHF, red-teaming, model alignment, and domain-specific workflows. Our platform integrates into existing pipelines, connects with your internal tools, and adapts to custom ontologies, taxonomies, and quality frameworks.
Yes. Centific is built to be fully flexible. You can create custom workflows, define instructions, integrate internal systems, automate evaluation cycles, and connect to enterprise tools. Our platform supports API integrations, flexible data schemas, and fully customizable task logic so you can adapt operations to any model, domain, or QA requirement.
Centific combines global workforce scale, deep domain expertise, enterprise-grade compliance, and a proven track record of high-integrity data delivery. Unlike generic labeling vendors, we offer end-to-end data operations: sourcing, annotation, evaluation, RLHF, safety alignment, governance, and continuous improvement. The result: higher accuracy, safer AI, and dramatically faster deployment cycles.
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from the front lines of AI.
From applied research to real-world deployments, explore how Centific advances AI through data, evaluation, and expert-led execution.
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From applied research to real-world deployments, explore how Centific advances AI through data, evaluation, and expert-led execution.
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engineered for Trust.
engineered for Trust.
Confidently scale every part of your AI development lifecycle with secure, compliant, production-ready operations.
Confidently scale every part of your AI development lifecycle with secure, compliant, production-ready operations.
Seamlessly connect your existing systems, infrastructure, and workflows — all in one unified platform.
Connect data, models, and people — in one enterprise-ready platform.