Loktak revolutionizes Al data development by:
AI-Powered Data Generation
Automated Data Labeling & SME-in-the-Loop
Guided Error Analysis & Model Evaluation
Continuous Data Curation & RAG Optimization
Loktak automates data generation, labeling, curation, and knowledge encoding, giving enterprises high-quality data pipelines that power accurate AI, stronger models, and faster deployment.
Schedule a Call130x Faster AI Deployment. 50% Lower Costs. Scalable Across Industries.
A high-performance AI data development platform that accelerates training data creation, enhances models with domain expertise, and continuously improves intelligence across enterprise workflows.
AI-Powered Data Generation
Automated Data Labeling & SME-in-the-Loop
Guided Error Analysis & Model Evaluation
Continuous Data Curation & RAG Optimization
The Brain Behind PhrasIQ Intelligence
Loktak powers every intelligent system at PhrasIQ, fine-tuning, model optimization, decision intelligence, and enterprise GenAI by ensuring models learn from the best possible data.
Three Dimensions of Loktak
Loktak integrates guided error analysis, domain-specific evaluation, and automated curation workflows to enhance training data quality. SME-in-the-loop functionality, synthetic generation pipelines, and continuous refinement loops ensure models adapt and improve with every iteration.
Loktak fits effortlessly into enterprise environments with cloud and on-prem deployment options, built-in governance, and end-to-end compliance. It supports AI-ready data ingestion, training, and production serving through MLflow, SageMaker, Vertex AI, and Databricks. Automated annotation and multi-modal capabilities enhance operational efficiency and help models scale reliably.
Foundation models aren’t enough for specialized enterprise tasks. Loktak fine-tunes models using industry data, corporate policies, and evolving domain knowledge. With adaptive RAG pipelines, SME-annotated datasets, and structured evaluations, Loktak delivers AI that is deeply accurate, highly relevant, and built for real-world use cases.
Automated workflows and data pipelines dramatically accelerate model development.
AI-driven labeling + synthetic generation reduce manual effort and infrastructure overhead.
Domain-informed evaluation, curated datasets, SME feedback, and RAG optimization ensure the highest model accuracy.
Every refinement, decision, and correction strengthens the data foundation.
We help enterprises turn complex data into mission-critical innovation at scale.
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