Your model is only as good as the humans who trained it. We staff the specialists who train, judge, and red-team frontier AI — across RLHF, safety, multimodal eval, and 50+ languages.
Partners co-shape our rubrics, pricing, and SLAs — and get preferred access to our senior Architects and Adversaries. We're looking for Vertical AI companies, AI-native startups, and enterprise AI teams running a production RLHF, red-team, or factuality program in 2026.
As AI models mature and move into healthcare, legal, finance, security, and enterprise operations, the quality of human input becomes the defining variable. More data is no longer enough. The right expertise — deeply embedded in your program — is what separates models that perform from models that fail in production.
General annotators produce general quality. Credentialed domain experts produce production-grade AI. Every engagement is built around the right specialist — Architects who set the standard, Judges who enforce it, Adversaries who stress-test it — matched to the depth your model actually needs.
A clinical expert evaluating clinical RLHF pairs catches failure modes a general annotator never sees. A legal specialist red-teaming a legal AI finds liability traps that prompt engineers miss. A safety-certified researcher identifies dangerous knowledge refusals that only a domain specialist recognizes. The credential is not a credential — it is the capability itself.
For frontier AI labs, regulated enterprises, and government programs, the training data, model outputs, and proprietary prompts used in evaluation are among the most sensitive IP a company holds. We build every engagement with data sovereignty as the foundation — on-premise deployment, secure facilities, air-gapped options, and zero third-party data access. Not an exception. The default. Built for programs where data residency is non-negotiable.
The most effective RLHF, evaluation, and annotation programs are not vendor-to-client. They are team-to-team. Our specialists embed directly into your workflows, tools, and quality framework — building the institutional knowledge that makes feedback more consistent and more valuable over time. A standing capability, not a periodic deliverable.
Every program begins with a 6-week Calibration POD, then scales into steady-state delivery. Five moments where our work shows up in your model.
Built around how global technology companies organize human intelligence operations — covering the full AI development and operations lifecycle across all five program categories.
The human input that trains, evaluates, and aligns foundation models — from raw data labeling to expert-level RLHF and adversarial red teaming.
The quality and safety layer keeping AI-generated and user-generated content accurate, policy-compliant, and culturally appropriate globally.
Human-in-the-loop analysis of how real users respond to AI products — high-volume feedback triage to nuanced sentiment and structured user research.
The human intelligence behind accurate, trustworthy search and knowledge graph data — covering ingestion, QA, and content strategy for AI-powered search at global scale.
Strategic advisory, managed service programs, and analytics that build the frameworks, policies, and reporting infrastructure keeping AI operations accountable.
Human evaluators rank and rate model outputs, teaching the reward model what good looks like. Results in models that are more helpful, coherent, and aligned with real user intent across text, code, and reasoning.
Human-written demonstrations establish baseline model behavior. CoT training teaches structured, step-by-step reasoning for complex tasks. The foundation every well-aligned model is built on — before RLHF begins.
Expert evaluators for vision-language models, audio understanding, and multimodal reasoning. Performance tested against real-world tasks, not benchmark datasets. Coverage scales with your model's modality footprint.
Native speaker annotators for ASR, TTS, and conversational AI. Multilingual evaluation with cultural adaptation — not translation. Covers 50+ languages.
Annotators for text, image, audio, video, LiDAR, and structured data. Domain specialists for medicine, law, finance, coding, and science — where general annotators produce incorrect labels. Every label traceable.
Systematic adversarial testing by domain specialists. Jailbreaks, bias, harmful outputs, and safety violations across text, code, and multimodal systems. Structured findings with reproduction steps and recommended fixes.
Specialists verify model outputs against source documents, trace citations, and flag hallucinations with reproduction steps. Built for AI products where a wrong answer carries real-world consequence.
Model risk review, bias audits, and compliance documentation that stands up to enterprise procurement and regulatory inquiry. Built for AI products entering regulated markets.
Specialists and ontologists who design entity models, taxonomies, and relationship schemas for domain-specific AI. For products where meaning and context matter more than surface text.
Response quality scoring, safety evaluation, cultural adaptation analysis, and headroom analysis for AI agents and foundation models. Side-by-side evaluation, localization testing, and production drift detection. Includes agentic reasoning evaluation — multi-step tool use, planning trajectories, and end-to-end workflow quality.
Content quality reviewers, trust and safety specialists, and search quality raters who keep AI-powered products accurate and policy-compliant at scale. Ongoing operations programs that scale with your product.
A model that performs in English can fail in Japanese or Arabic — not from grammar errors, but from cultural context, regional sensitivity, and domain nuance that automated translation misses. We provide native-speaker specialists who understand the culture, not just the language.
Every POD is named, credentialed, and built for continuity — no rotating crowd workers, no ticket-defined scope, no surprise handoffs.
Phase one of every program. Builds the evaluation rubric, gold dataset, calibration set, and kappa baseline with your team. The foundation the ongoing program runs on top of.
Steady-state operations. RLHF, red-teaming, factuality audit, content ops, drift monitoring. Includes embedded program management, QA, and calibration. Scales with your program.
Embedded strategic capacity for AI governance, eval framework design, regulatory readiness, and RFP response. Retainer model with direct access to domain leadership.
Build the ground truth. Design evaluation rubrics, author SFT/CoT training data, establish the gold standard. High-stakes, high-judgment work.
Evaluate against the standard. RLHF preference ranking, hallucination forensics, competitive evaluation, inference quality review. The expanded middle of every program.
Break the model before users do. Adversarial testing, red teaming, domain safety auditing — credentialed specialists only.
Quantryx was built on a clear conviction: the quality of an AI system is ultimately determined by the quality of human input it receives. Better RLHF data produces better-aligned models. More rigorous red teaming produces safer systems. More expert annotation produces more capable models.
We are an AI services company based in the Bay Area. We work across five AI service pillars — providing the Cognitive Role Framework and the accountability that production AI requires. Embedded in your team, not operating at arm's length.
We bring operational discipline and domain expertise to every engagement — from frontier AI programs to production AI deployments in regulated enterprises.
Our Cognitive Role Framework places the right specialist — Architect, Judge, or Adversary — at the right tier. Every task matched to the credential and depth it actually requires.
AI-augmented Tier 3 practitioners handle volume. Tier 1 and Tier 2 specialists focus on the high-judgment tasks that determine model quality. More output, right expertise at every level.
Every engagement is scoped around what the client achieves. Quality targets and program outcomes are defined before work begins — not renegotiated after problems surface.
Continuity produces quality. Our specialists stay — and so do we. We remain engaged for the life of the program, ensuring consistency as the work evolves and scales.
Tell us what you're working on. 24-hour response guarantee.