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Virtual 3D Asset Library
Production-ready environments, objects, and scenarios for generating diverse, precisely labeled synthetic data.
We build validation infrastructure and alignment tooling so AI systems don't just perform—they understand, adapt, and improve in the real world.
Alignment is not an afterthought. Every system we build embeds transparency and ethical guardrails from the ground up.
We test models against the messy, ambiguous conditions of real deployment—not curated benchmarks.
A tight group of researchers, builders, and engineers who move fast and prioritize what actually matters.
We work closely with AI teams—not just as a vendor, but as a technical partner invested in shared outcomes.
"The frontier of AI has moved. We're building what comes next."
— Zehanat founding principle
From raw data collection through continuous deployment monitoring—the infrastructure AI teams need to ship with confidence.
Structured, high-quality data pipelines purpose-built for training and evaluation. Multi-modal, multi-lingual, domain-specific.
FoundationHuman-in-the-loop labeling with specialist annotators. RLHF-ready preference data, instruction tuning, and safety labeling.
Human + AIContinuous evaluation of deployed models. Detect drift, behavioral inconsistencies, and alignment failures before users do.
Core ProductAn alignment-first LLM platform with tunable ethical guardrails, transparent reasoning traces, and intent calibration.
PlatformSDKs, APIs, and dashboards for safe and adaptive model deployment. Alignment checks directly in your CI/CD pipeline.
DeveloperBuilt-in mechanisms for model self-correction and user feedback loops. Systems that improve continuously in production.
ContinuousAn end-to-end platform for building capable, dependable robots—from synthetic worlds and human behavior data to accelerated simulation and continuous learning in deployment.
Production-ready environments, objects, and scenarios for generating diverse, precisely labeled synthetic data.
High-fidelity real-world behavior data that teaches robotic systems how people move, interact, and complete tasks.
GPU-accelerated testing across thousands of scenarios to expose edge cases and stress-test robotic capabilities faster.
A unified framework that turns simulation, human data, and field performance into continuous model improvement.
We audit your model's goals, edge cases, and deployment context to define a targeted validation strategy.
Specialist annotators and automated pipelines produce high-signal training and evaluation data at scale.
Real-world test suites surface behavioral drift, hallucinations, and misalignments before production.
Continuous post-deployment monitoring with feedback loops that keep your model aligned over time.
We operate across time zones to serve AI teams wherever they build.
Tell us about your AI system, your validation needs, and where you're going. Our team responds within one business day.