We partner with enterprises, innovators, and governments worldwide to deliver trusted data, scalable AI solutions, and responsible transformation.

We are a global AI services company helping organizations innovate by building, scaling, and operationalizing AI responsibly.
We deliver multimodal and structured data, LLMOps engineering expertise, and responsible AI strategy that fuel the next generation of intelligent systems.
Whether it’s healthcare, finance, automotive, retail, or more we ensure AI systems don’t just learn but they perform.
SLAs on acceptance rate, latency, and accuracy. Multi-layer QA with measurable inter-annotator agreement.
Elastic teams + automation. Playbooks for large ramps, multilingual coverage, and peak-load handling.
Data residency options, private networking, full audit trails. Alignment with major frameworks (GDPR, HIPAA, and more).
Embedded safety evaluations, bias/fairness checks, explainability artifacts are shipped with your models.
Orchestrated automation with verified experts for sensitive workflows, leading to top model performance.


We provide high quality and representative datasets that reduce dataset bias and accelerate model readiness.

We deliver rich, structured datasets across every modality: text, audio, video, image, 3D, LiDAR, and more. With Subject Matter Experts embedded in our workflows, we ensure annotations are not only precise but contextually relevant and industry-trusted, powering models with greater precision, recall, and reliability.

Our expertise spans digitizing legacy archives, anonymizing sensitive records, and extracting structured information from unstructured formats with OCR.

We create high-fidelity synthetic datasets and scenario simulations to overcome data scarcity, privacy restrictions, and edge-case gaps. By generating controlled, domain-specific datasets, we enable AI systems to perform in rare, high-risk, or privacy-sensitive environments with confidence.

We help enterprises and AI labs train and fine-tune LLMs and multimodal models so they perform in real-world scenarios.

Making large models safe, policy-aligned, and trustworthy for enterprise-scale deployment. Through alignment data, safety programs, and red-teaming, we help reduce hallucinations, ensure compliance, and protect brand trust with responsible AI practices.

We perform independent testing and evaluation that help in transparent and reproducible model performance reports.

We make LLMs factual and grounded by connecting them to trusted knowledge sources.

Our data services are tailored to the unique challenges, compliance needs, and innovation goals of each domain.
We offer our clients access to Globik's proprietary annotation platform for in-house teams with custom workflow setup, access controls, and API integration.

