Artificial intelligence isn't science fiction anymore — it's a practical tool that businesses across Tamil Nadu are using to automate decisions, understand customers, and optimize operations. Whether you're a textile manufacturer in Salem looking to predict demand or a startup building an AI-powered SaaS product, the right AI implementation can transform how you operate.
At Fillicore Technologies, we build AI solutions grounded in real business problems. We don't chase hype — we focus on practical machine learning applications that deliver measurable ROI. From data preparation and model training to deployment and monitoring, we handle the full AI lifecycle so you can focus on what the insights mean for your business.
01 — Capabilities
Practical AI applications designed for real-world business impact.
Chatbots, sentiment analysis, text classification, and document understanding. Build conversational AI that understands context and intent using transformer models and LLM APIs.
Image classification, object detection, OCR, and visual inspection systems. Automate quality control, document processing, and visual search with custom-trained vision models.
Demand forecasting, churn prediction, pricing optimization, and anomaly detection. Turn historical data into forward-looking insights that drive smarter business decisions.
02 — Tech Stack
Industry-standard tools and frameworks for production-grade AI.
TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers for model development. Pandas and NumPy for data processing. Jupyter notebooks for experimentation and rapid prototyping.
OpenAI GPT, Anthropic Claude, Google Gemini, and open-source models via Hugging Face. We build RAG pipelines, fine-tuned assistants, and LLM-powered features integrated into your existing applications.
AWS SageMaker, Google Vertex AI, and custom Docker deployments. Model versioning with MLflow, automated retraining pipelines, and monitoring for model drift and performance degradation in production.
03 — Process
From data to deployment — a structured, iterative approach.
Define the business problem and success metrics.
Collect, clean, and engineer features from your data.
Train, evaluate, and iterate on model architectures.
Deploy as APIs and integrate with your applications.
Track performance, retrain, and optimize continuously.
04 — FAQ
We primarily work with Python-based frameworks — TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers. For deployment, we use FastAPI, Docker, and cloud ML services like AWS SageMaker and Google Vertex AI.
Absolutely. We build AI features as microservices or API endpoints that integrate seamlessly with your existing web or mobile application — whether it's adding smart search, chatbots, content recommendations, or predictive analytics.
It depends on the use case. For classification tasks, a few thousand labeled examples can work. For more complex models, we may need larger datasets. We also help with data collection strategies, augmentation, and leveraging pre-trained models to reduce data requirements.
Phone
+91 00000 00000Location
Salem, Tamil Nadu · Working Globally