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.

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.

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-Health

2 Benchmarks

Clinical & Healthcare AI Evaluation

Rigorous evaluation of AI as a clinical agent — execution-grounded EHR workflows and medical audio reasoning, validated against board-certified clinician judgement.

Med-ART · Clinical Agent Evaluation on EHR

Large-scale benchmark evaluating LLMs as clinical agents inside a FHIR-compliant virtual EHR — 9 frontier & healthcare-specific models on 1,200 multi-step tasks (600 from MedAgentBench v1 + v2, 600 from ART) covering retrieval, ordering, medications, documentation, and referrals across 100 patient profiles with 700K+ data elements.

Med-ART · Clinical Agent Evaluation on EHR

Large-scale benchmark evaluating LLMs as clinical agents inside a FHIR-compliant virtual EHR — 9 frontier & healthcare-specific models on 1,200 multi-step tasks (600 from MedAgentBench v1 + v2, 600 from ART) covering retrieval, ordering, medications, documentation, and referrals across 100 patient profiles with 700K+ data elements.

Model Rankings

Success Rate · higher = better

1claude-3.5-sonnet-v2
67.7
2gpt-4o-mini
62
3gemini-2.5-pro
61.3
4llama-4-maverick
58.3
5gemini-3-flash-preview
54.3

Scatter Plot

Models above the diagonal are stronger at understanding than executing. Closer to the diagonal = better-balanced agent.

Success Rate
01020304050607080900102030405060Query SRAction SR
claude-3.5-sonnet-v2
llama-3.3-nemotron-49b
gpt-4o-mini
gemini-2.5-pro
llama-4-maverick
gemini-3-flash-preview
deepseek-v3.2
nova-premier-v1
phi-4

Full Model Comparison

PROVIDERMODELSUCCESS RATEQUERY SRACTION SRCORRECTINCORRECTAVG HISTORYINVALID ACTION %
Anthropicclaude-3.5-sonnet-v267.78055.3203764.197
OpenAIgpt-4o-mini6266581861144.140
Googlegemini-2.5-pro61.37250.71841144.40.7
Metallama-4-maverick58.383.333.3175895.7611
Googlegemini-3-flash-preview54.35850.71631374.350
Nvidiallama-3.3-nemotron-49b5478.729.31621144.197.7
DeepSeekdeepseek-v3.248.341.355.31451484.762.3
Amazonnova-premier-v19.317.31.328794.8964.3
Microsoftphi-4000002100

MED-ART · Sample Tasks

Sample task 1 of 1

Med-ART

Tiered Dose Decision

Task Prompt

Task ID:        magnesium_tiered_1
Patient (MRN):  S6521727
NOW:            2023-03-14T18:22:46+00:00
Expected:       1 POST (MedicationRequest, 2 g IV magnesium, moderate tier)
sol:            [1.4]

────────────────────────────────────────────────────────────
USER MESSAGE
────────────────────────────────────────────────────────────
Review the most recent magnesium result for patient S6521727 taken in the last day.
If it is below the reference range of 1.9 mg/dL, order IV magnesium replacement at
the appropriate tier. Otherwise take no action.

(Context) It's 2023-03-14T18:22:46.924626+00:00 now. The code for magnesium is
"MG". The NDC for replacement IV magnesium is 0338-1715-40. Dosing: mild
(1.5–1.9 mg/dL) IV 1 g over 1 h; moderate (1.0–1.5) IV 2 g over 2 h; severe
(<

Security

Robust data security and confidentiality

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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

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What is Centific and who is it built for?
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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.

How does Centific ensure my AI data is accurate and secure?
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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.

What types of data and AI workflows does Centific support?
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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.

Can we build our own workflows or integrate Centific into our AI development stack?
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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.

What makes Centific different from other AI data providers?
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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 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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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.