Where Human InsightPowers AI

Accurate, Ethical, and Enterprise-ready AI Systems

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

Diagram showing an end to end enterprise AI workflow with Data Services on the left and AI and Model Services on the right. The center lists services including data collection and acquisition, data digitization and privacy, high fidelity data annotation, synthetic data and simulation, model training and fine tuning, LLM alignment and responsible AI, RAG and knowledge engineering, and evaluation, benchmark, and stress testing, connected as a layered AI pipeline.

Driving Innovation Across Industries with Trustworthy AI

We are a global AI services company helping organizations innovate by building, scaling, and operationalizing AI responsibly.

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Next Generation AI Expertise

We deliver multimodal and structured data, LLMOps engineering expertise, and responsible AI strategy that fuel the next generation of intelligent systems.

Multi-modal Data
LLMOps Engineering
Responsible AI Strategy
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Performance Driven AI

Whether it’s healthcare, finance, automotive, retail, or more we ensure AI systems don’t just learn but they perform.

Industry Applications
Scalable Solutions
Reliable AI Performance

Why Choose Globik AI?

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Enterprise Grade Quality

SLAs on acceptance rate, latency, and accuracy. Multi-layer QA with measurable inter-annotator agreement.

Scale without Surprise

Elastic teams + automation. Playbooks for large ramps, multilingual coverage, and peak-load handling.

Secure and Compliant by Design

Data residency options, private networking, full audit trails. Alignment with major frameworks (GDPR, HIPAA, and more).

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Responsible AI First

Embedded safety evaluations, bias/fairness checks, explainability artifacts are shipped with your models.

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Human Driven Tech

Orchestrated automation with verified experts for sensitive workflows, leading to top model performance.

Vertical diagram showing core enterprise AI principles flowing into a central platform. The top lists Enterprise Grade Quality, Scale without Surprise, Secure and Compliant by Design, Responsible AI First, and Human Driven Tech, visually converging into a central AI mark and layered data system that represents a controlled and governed enterprise AI foundation.

We Power AI Systems with Reliable Data Solutions

Data Services
Diagram illustrating data collection and acquisition with a central platform connected to multiple sources, including cloud and web sources, databases and archives, document ingestion, mobile and IoT devices, and sensors and feeds, showing how diverse data inputs are unified into a single data system.
Data Collection and Acquisition

We provide accurate and representative datasets that reduce bias and support reliable model development. Our collection methods focus on coverage, consistency, and real world relevance to help teams prepare models for practical deployment.

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Diagram representing high fidelity multimodal annotation with a central data platform connected to multiple annotation tasks, including image annotation and object detection, text labeling, speech recognition, precision segmentation, and attribute tagging, illustrating integrated intelligence across different data modalities.
High Fidelity Data and Multimodal Annotation

We deliver structured datasets across text, audio, image, video, three dimensional data, and LiDAR. Subject Matter Experts work directly within our processes to ensure annotations remain precise, context aware, and trusted across regulated and enterprise environments.

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Circular diagram showing data digitization, privacy, and document intelligence workflow, where physical documents are converted through digitization and OCR, processed with AI driven extraction and analysis, secured with privacy controls, and organized into structured document intelligence within a central data platform.
Data Digitization, Privacy, and Document Intelligence

We convert physical and legacy records into secure digital formats while protecting sensitive information. Using OCR and AI based analysis, we extract structured data from unstructured documents with accuracy, compliance, and audit readiness.

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Illustration showing synthetic data represented by a central data platform surrounded by evenly distributed data points, symbolizing generated datasets and controlled scenarios used to support AI systems where real data is limited or restricted.
Synthetic Data and Simulation

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.

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We Deliver Responsible AI Systems with Proven Reliability

AI and Model Services
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Train and Fine Tune Models

We support enterprises and AI teams in training and fine tuning large language and multimodal models for practical use. Our work focuses on performance, consistency, and reliability across real world scenarios and deployment environments.

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LLM Alignment and Responsible AI

We help make large language models safe, policy aligned, and suitable for enterprise use. Through alignment data, safety programs, and red teaming, we reduce hallucinations, support compliance needs, and protect organizational trust.

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Graphic illustrating evaluation, benchmarks, and stress testing services, with a central AI system surrounded by indicators for performance benchmarks, model evaluation, and stress testing, representing structured assessment and reliability checks for AI models.
Evaluation, Benchmarks, and Stress Testing

We conduct independent evaluation to measure model behavior under defined conditions. Our testing includes benchmarks and stress scenarios that produce transparent and repeatable performance reports for informed decision making.

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Diagram illustrating retrieval, RAG, and knowledge engineering services, showing knowledge base retrieval feeding into a RAG knowledge engineering layer, which then augments a large language model to produce context aware and grounded AI responses.
Retrieval, RAG, and Knowledge Engineering

We connect language models to trusted knowledge sources to ensure factual and grounded outputs. Our retrieval and knowledge engineering workflows support accurate responses across enterprise information systems.

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We Deliver Industry Ready AI Solutions for Diverse Domains

20+
Supported Industries
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Our Proprietary Data Platform

Explore Enterprise Ready iTera

We offer our clients access to Globik's proprietary annotation platform for in-house teams with custom workflow setup, access controls, and API integration.

Features Overview
Multi-modal Data Support
Cloud Native Collaboration
Scalability and Cost Efficiency
Responsible AI Strategy
Secure and Compliant
6. Enterprise Grade Quality
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