Silwatech is backed by a team of 1000+ employees, serving clients in over 10+ industries across 9+ locations
SilwaTech provides comprehensive AI engineering services from use-case discovery and model prototyping to production-ready system deployment and enterprise integration. Our projects range from early-stage proof-of-concept models to scalable AI platforms embedded within digital ecosystems.
We leverage modern AI frameworks, cloud-native infrastructure, vector databases, and integration layers to ensure every solution is technically robust, performance-optimized, and deployment-ready.
Our AI projects are engineered using widely adopted frameworks and platforms, including Azure AI, OpenAI APIs, TensorFlow, PyTorch, LangChain, vector databases, and scalable cloud infrastructure. Solutions are designed to integrate seamlessly with enterprise systems, web portals, and mobile applications.
Design and delivery of an AI-backed code generation assistant tailored for Liferay 7.4 DXP, enabling developers to produce high-quality Java and Groovy modules faster with standards-aligned outputs and contextual guidance.
RAG (Retrieval-Augmented Generation) | LLM (Groq API) | Streamlit | Chroma DB | Sentence Transformer | Elasticsearch | Python | FastAPI
Design and implementation of an AI-assisted legal platform enabling faster legal research, contract intelligence, document review, and compliance validation through governed AI workflows and secure enterprise architecture.
AI/NLP Models | OCR | Legal Knowledge Graph | REST APIs | Cloud Infrastructure (AWS/Azure) | RBAC & Audit Logging
Design and implementation of an AI-powered conversational search platform for a fashion retailer, enabling intelligent content discovery, personalized recommendations, and persistent search history management through a scalable, cloud-native architecture.
AI/NLP (ChatGPT API) | Angular | FastAPI | Elasticsearch | MongoDB | AWS (EC2, Lambda) | OAuth 2.0 & SSL/TLS
Design and implementation of a role-based, AI-assisted healthcare platform enabling doctors, nurses, patients, and administrators to interact through secure voice and digital assistants, improving operational efficiency, patient care, and resource management.
AI/NLP Models | Voice Assistants | Microservices Architecture | REST & gRPC APIs | Cloud Infrastructure (AWS) | RBAC & Compliance Controls
Our AI projects follow a phased development framework, beginning with problem definition and data assessment, progressing through model experimentation and validation, and culminating in secure deployment and integration. Each engagement is aligned with performance benchmarks, scalability requirements, and operational objectives.