We build production AI systems — chatbots, recommendation engines, and computer vision pipelines — that integrate with your existing products, not slide decks.
LLM-powered chatbots using OpenAI GPT-4, Claude, or open-source models with RAG (Retrieval-Augmented Generation) over your documentation. Handles 70%+ of tier-1 support queries without human escalation — reducing support costs measurably.
Collaborative filtering and content-based recommendation engines for e-commerce, media, and SaaS products. Personalized product suggestions typically increase average order value by 10–20% when properly tuned.
Time-series forecasting for demand planning, churn prediction, and maintenance scheduling. Models trained on your historical data with explainability reports so stakeholders trust the outputs.
Object detection, OCR, facial recognition, and quality inspection pipelines using YOLO, OpenCV, and custom CNN models. Deployed on edge devices or cloud APIs depending on latency requirements.
Sentiment analysis, entity extraction, document classification, and multilingual text processing. We fine-tune models on domain-specific corpora for legal, medical, and financial text where generic models underperform.
We assess whether AI is the right solution, audit available training data, and define success metrics (accuracy, latency, cost per inference) before model selection.
Proof-of-concept model trained on a data subset with benchmark evaluation. Stakeholders review sample outputs and error cases before production investment.
Model serving via REST API or embedded inference, monitoring for drift, and automated retraining triggers. MLOps setup with MLflow or AWS SageMaker.
AI features integrated into your web app, mobile app, or backend workflow. Dashboards track inference latency, accuracy over time, and cost per 1,000 predictions.
Stack4Dev uses the following technologies for ai & machine learning projects — chosen for reliability, hiring availability, and long-term maintainability.
RAG-powered chatbot trained on 2,000+ support articles for a US SaaS company — resolving 72% of queries without human handoff and cutting average response time from 4 hours to 30 seconds.
Computer vision model detecting surface defects on manufacturing lines — 96% detection accuracy at 30 FPS, replacing manual inspection for a Surat textile producer.
Time-series model predicting weekly inventory needs for a retail chain with 15 locations — reducing overstock waste by 22% in the first quarter.
NLP pipeline extracting key fields from invoices and contracts — processing 500+ documents daily with 94% field-level accuracy for an Australian accounting firm.
A SaaS client in the US spent 40% of support team time on repetitive tier-1 queries. Stack4Dev built a RAG chatbot trained on their documentation using GPT-4 and Pinecone — resolving 72% of queries automatically and significantly reducing support workload.
Stack4Dev is an AI development company in Surat, Gujarat, delivering machine learning solutions for businesses in India, the United States, and Australia. Our AI team builds production systems — not prototypes — with measurable accuracy benchmarks, cost-per-inference tracking, and integration into your existing web and mobile products.