AI Model Training
Custom fine-tuning of large language models using state-of-the-art techniques. From data preparation and labeling to training pipeline setup and deployment-ready model delivery — we handle the entire lifecycle.
Custom LLM fine-tuning (LoRA, QLoRA)
Reinforcement Learning from Human Feedback
Data labeling and annotation services
Training pipeline design & optimization
Domain adaptation for industry verticals
Hyperparameter tuning & experiment tracking
Multi-GPU distributed training setup
Model compression & deployment packaging
Fine-tuningRLHFLoRAQLoRADPOData LabelingDistributed
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Model Evaluation & Benchmarking
Rigorous, multi-dimensional model assessment including accuracy metrics, bias detection, adversarial red-teaming, and custom benchmark creation tailored to your specific use case and compliance requirements.
Accuracy, precision, recall, F1 analysis
Bias detection and fairness auditing
Red-teaming and adversarial testing
Custom benchmark creation & reporting
A/B testing and model comparison
Safety and toxicity evaluation
Latency and throughput profiling
Compliance-ready audit documentation
BenchmarksBias AuditRed-teamingF1 / PrecisionSafetyA/B Testing
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Data Quality Services
Comprehensive data validation, anomaly detection, dataset curation, and governance consulting — ensuring your AI models are built on clean, reliable, production-grade data that meets regulatory standards.
Data validation and anomaly detection
Dataset curation and deduplication
Schema consistency and lineage tracking
Data governance consulting
PII detection and redaction
Data completeness scoring
Automated quality monitoring pipelines
GDPR / HIPAA compliance auditing
ValidationCleaningGovernanceLineagePIICompliance
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