We build production-grade AI systems — from custom model development and LLM integrations to computer vision pipelines and full MLOps infrastructure — designed to deliver measurable ROI from day one.
At Yeskay, AI & ML Engineering is our core practice. We go beyond off-the-shelf tools — we architect custom models tailored to your data, your domain, and your business goals. Whether you need a fine-tuned LLM, a real-time vision system, or an end-to-end ML pipeline with monitoring and retraining, our team delivers it production-ready.
Our engineers hold certifications across AWS, Azure, GCP, and Databricks, and have built AI systems for healthcare, finance, logistics, retail, and more.
End-to-end AI engineering — model development, integration, deployment, and monitoring.
Domain-specific ML models trained on your data — classification, regression, clustering, ranking, and more. We select the right architecture for your problem, not the trendiest one.
Enterprise AI assistants, RAG pipelines, and fine-tuned LLMs using GPT-4, Claude, Gemini, Llama, and Mistral. We handle context management, prompt engineering, and guardrails.
Object detection, image classification, OCR, video analytics, and quality inspection systems. Deployed on edge, cloud, or hybrid infrastructure depending on latency needs.
Sentiment analysis, named entity recognition, document classification, summarization, and conversational AI. Handles structured and unstructured text at scale.
CI/CD pipelines for ML, automated retraining, model versioning, drift detection, A/B testing, and production monitoring. Your models stay accurate and reliable over time.
Time-series forecasting, churn prediction, demand planning, fraud detection, and anomaly detection. We turn your historical data into forward-looking intelligence.
Across industries, our AI/ML solutions deliver measurable impact where it matters most.
Medical image analysis, patient risk stratification, and clinical decision support systems built to regulatory standards.
Real-time transaction scoring, anomaly detection, and behavioral pattern recognition that reduces false positives while catching fraud early.
Demand planning and inventory optimization models that cut stockouts and overstock situations — trained on your historical order and shipment data.
Churn prediction, next-best-action recommendation engines, and lifetime value models that power personalized customer experiences at scale.
Intelligent extraction, classification, and routing of contracts, invoices, medical records, and other unstructured documents — replacing manual review workflows.
Internal knowledge bots, customer-facing virtual agents, and copilot tools grounded in your company's data using RAG and fine-tuning techniques.
A sample of what we've built and the results it delivered.
ML ensemble model replacing rule-based system — detecting novel fraud patterns with 94% accuracy and <50ms inference.
RAG pipeline over 200K+ pages of technical documentation — GPT-4 with source citations and version awareness across SharePoint, Confluence, and PDFs.
Patient risk scoring integrated into EHR workflow — helping care coordinators prioritize follow-ups and reduce CMS penalties.
We're technology-agnostic — we pick the right stack for your requirements, not our convenience.
A proven, iterative delivery process with full transparency at every step.
We audit your data, define the ML problem precisely, and set measurable success metrics before writing a single line of code.
Rapid experimentation — baseline models, feature engineering, architecture selection. Weekly demos keep you in the loop.
Production-grade training pipelines, hyperparameter tuning, cross-validation, and rigorous testing against your business KPIs.
Cloud deployment with REST APIs, streaming inference, or batch jobs. Ongoing drift monitoring and automated retraining keeps accuracy high.
Tell us about your data, your challenge, and your goals. We'll design the right solution and get started within days.