We build end-to-end ML systems: data pipelines, model training, evaluation, deployment, and monitoring. From predictive analytics to recommendation engines.
About This Service
iMOBDEV builds machine learning systems that are evaluated against real accuracy benchmarks — not just trained until the loss curve looks acceptable. We cover the full lifecycle: data engineering and labeling pipelines, feature stores, model development with experiment tracking, model serving via FastAPI or SageMaker endpoints, and MLOps infrastructure for drift detection and automated retraining. We've shipped ML systems for fraud detection in fintech, demand forecasting in retail, predictive maintenance in manufacturing, and recommendation engines in e-commerce.
What's Included
A full breakdown of every deliverable — no hidden extras, no scope surprises.
Data readiness assessment, problem framing (classification vs regression vs ranking), baseline benchmarking, and build-vs-buy analysis before any model training begins
Airflow and Spark pipelines for data collection, cleaning, and feature engineering — with data quality checks and feature store for reuse across models
Gradient boosting (XGBoost/LightGBM), deep learning (PyTorch/TensorFlow), and fine-tuned HuggingFace models — evaluated with defined precision/recall targets
Offline evaluation with held-out test sets, online A/B testing framework, and shadow deployment to validate models against production traffic before full rollout
FastAPI model serving with SLA-bound latency, SageMaker real-time and batch endpoints, and ONNX runtime for latency-optimized inference
MLflow experiment tracking, model registry, drift detection alerts, and automated retraining pipelines that trigger when distribution shift exceeds your threshold
Object detection (YOLO, DETR), image classification, OCR pipelines, and real-time video analytics for manufacturing quality control and retail applications
Sentiment analysis, intent classification, named entity recognition, and document classification — fine-tuned BERT/RoBERTa models for domain-specific language
Why Work With Us
We define precision, recall, and AUC targets at project start. Models don't go to production until they hit the benchmark — measured on your real data.
Production models degrade. We build monitoring that alerts when model performance drops and pipelines that retrain automatically on fresh data.
ONNX optimization, quantization, and batching strategies bring most classification models under 100ms at P99 — suitable for real-time product features.
We've built ML systems for healthcare and finance with differential privacy, model explainability (SHAP/LIME), and audit trails regulators actually accept.
Deep dive into your goals, users, and constraints. Deliverable: detailed project brief and technical specification.
System architecture, API contracts, UI/UX wireframes reviewed with your team before a line of code is written.
2-week sprints with daily standups. Working software demonstrated every sprint — full visibility throughout.
Automated unit and integration tests plus manual QA each sprint. Zero critical bugs shipped to production.
CI/CD pipeline, cloud provisioning, zero-downtime deployment. Launch day is never a surprise.
Post-launch monitoring, performance optimization, and ongoing feature roadmap execution.
Engagement Models
Three ways to engage — pick what fits your project, timeline, and budget.
One or more senior developers assigned full-time to your project — embedded in your workflow, shipping on your timeline.
Pay as you go. Ideal for short bursts, quick iterations, or when scope is still taking shape.
Defined scope, locked budget, predictable delivery date. No surprises — just a clear SOW and milestone sign-offs.
Free consultation · No commitment · Response within 1 business day
Industries
We bring deep domain knowledge across every major industry vertical — not just technical execution.
We don't retrofit AI; we design for it from day one — architecture, data, and UX.
Agile sprints with clear milestones, transparent reporting, and zero deadline surprises.
No hidden costs. Fixed-price or dedicated team models — you choose what fits.
India-based delivery excellence with US and UAE client engagement offices.
ISO 27001-compliant, NDA-ready, GDPR-aware — secure by design at every layer.
We're a long-term partner, not a one-and-done vendor. We grow as you grow.
Client Stories
“iMOBDEV delivered our AI-powered fintech app 2 weeks ahead of schedule. The quality is exceptional — it feels like a product from a top Silicon Valley company.”
Sarah Mitchell
CTO, PayEdge Finance
Insights
Let's Build Together
Tell us what you're building. Our team will review your requirements and get back to you with a detailed approach — no generic proposals, no overselling.
4.9/5
Clutch Rating
200+
Happy Clients
17+
Years Experience
