AI & Machine Learning Development
Custom ML models, LLM pipelines, and intelligent automation for production environments.
97%
Model accuracy on deployments
Artificial intelligence is no longer a future consideration — it's the competitive advantage that separates market leaders from everyone else. Techgynt builds production-ready AI and machine learning systems that solve real business problems: documents that process themselves, customers who receive personalised experiences at scale, and workflows that run without human intervention.
Our AI team has deployed models across natural language processing, computer vision, time series forecasting, and recommendation systems. We achieve 97% model accuracy on client deployments by combining rigorous data engineering with iterative model evaluation. We work with both traditional ML frameworks (Scikit-learn, XGBoost, PyTorch) and modern LLM infrastructure (GPT-4, Claude, LLaMA) to choose the right approach for each use case.
The difference between a proof-of-concept and a production AI system is enormous. PoCs run on clean sample data; production systems deal with noisy, inconsistent, incomplete real-world data. Our data engineering practice handles the messy work of cleaning, normalising, and structuring your data before a single model is trained — which is why our accuracy numbers hold up in production, not just in notebooks.
We don't stop at the model. A machine learning system that isn't deployed, monitored, and maintained is just a Jupyter notebook. We build the full MLOps pipeline: model training, versioning, deployment, A/B testing, and drift detection — so your AI system gets smarter over time, not worse. Every model we deploy in Gujarat and beyond has a monitoring dashboard so you know exactly how it's performing.
What's Included
Everything you need to go from idea to production — handled by one team.
Custom ML Model Development
Classification, regression, NLP, and computer vision models trained on your data and tuned for your accuracy requirements.
LLM Integration & Fine-Tuning
GPT-4, Claude, and open-source LLM pipelines integrated into your product — with RAG, fine-tuning, and prompt engineering.
Intelligent Automation
Document processing, data extraction, and workflow automation that eliminates manual effort at scale.
MLOps & Model Deployment
Production deployment, monitoring, versioning, and drift detection so your models stay accurate in the long run.
Technologies & Tools
Frequently Asked Questions
Common questions about our ai & machine learning development.
Not always. The data requirement depends heavily on the use case. For fine-tuning an LLM, a few hundred high-quality examples can be sufficient. For training a custom computer vision model from scratch, you need tens of thousands. We'll assess your data during discovery and tell you honestly whether you have enough to proceed.
Let's Work Together
Ready to get started?
Tell us what you're building. We'll get back within 24 hours with a clear technical plan.