Scale AI systems with expert reviewers, annotators, evaluators, and domain specialists. From data annotation to RLHF and AI evaluation, Kavron AI delivers high-quality human intelligence on demand.
Experience how our expert network annotates, evaluates, and optimizes AI models live.
Specialized workflows designed to deliver high-quality, customized training datasets and verification loops.
High-precision bounding boxes, segmentation masks, pixel-level labeling, and audio-to-text transcriptions conducted by specialized annotators.
Reinforcement Learning from Human Feedback using ranking, pairwise comparison, and detailed written explanations to align LLMs with safety and utility.
Comprehensive benchmarking of foundation models against customized domain rubrics. Quantitative scoring of correctness, helpfulness, and style guidelines.
Stress-test model behaviors through prompt injections, jailbreaks, and creative edge-case scenarios to guarantee safety filter compliance.
Native-speaker verification, localization translation, and cross-cultural evaluation across 50+ languages and localized dialects.
Sourcing high-integrity domain-specific text, video, speech transcripts, and images that reflect real-world distributions for pre-training.
Rigorous verification of automated annotations, synthetic datasets, and prompt responses. We spot-check models dynamically using multi-tier expert audits to catch hallucinations before they affect production systems.
We bridge the gap between machine capacity and human capability at absolute enterprise scale.
Kickstart your pipelines in record time. We stand up customized workforce teams with specialized workflows, calibrated and live within 48 to 72 hours.
Whether you require 10 localized domain specialists or a fleet of 10,000 general annotators, we adapt resource allocations weekly to match your sprints.
Leverage global hubs of qualified human resources. We optimize operational costs without compromising accuracy by hiring certified native experts globally.
Every pilot is supported by standard PMs who handle calibration, resolve guideline conflicts, build consensus parameters, and deliver reports.
Every dataset undergoes an internal multi-stage review. Overlapped ratings and algorithm-driven conflict resolutions guarantee 99.9% ground truth accuracy.
End-to-end data security including SOC 2 Type II controls, strict NDAs, clean data isolation, air-gapped secure workspaces, and secure VPN endpoints.
We deploy domain experts who understand the nuances of your specific industry.
Get high-fidelity annotations and evaluations delivered in four simple stages.
Submit your specifications, custom guidelines, prompt templates, or raw unstructured datasets. We'll consult on edge-case taxonomy and set core target SLAs.
We source domain experts—ranging from programmers, medical students, lawyers, to computational linguists—and run calibration tests to establish standard alignments.
Pilot phase goes live. We begin label pipelines with regular check-ins, optimizing guidelines as edge-cases arise, and refining annotation speed.
Receive your customized dataset in JSON, CSV, or direct S3 exports. Zero-hallucination data reviewed twice and ready for fine-tuning or evaluation pipelines.
We screen and train our specialists rigorously, matching your project with the absolute best human intelligence.
Specialists in training feedback loops, pairwise rating systems, and grading model safety alignments.
Academic personnel equipped to label advanced scientific datasets, draft prompt rubrics, and source facts.
Highly trained labeling units executing pixel-level segmentation, bounding boxes, and object detection grids.
Specialized developers creating test templates, drafting jailbreak scenarios, and building adversarial evaluations.
Certified programmers, legal consultants, tax professionals, and translators certifying high-stakes domain data.
Native-speaker experts reviewing cross-cultural translations, localization contexts, and dialect nuances.