AI & Machine Learning Services
Build intelligent, secure, and production-ready AI applications directly inside your enterprise C# runtime.
Enterprise Intelligence Built For High Performance
At Krista Technology, we design and deliver production-ready AI systems written directly in .NET. We integrate custom model training, generative LLM agents, and semantic intelligence loops into your existing ASP.NET Core environments, ensuring low latency, high data privacy, and direct integration.
ML.NET Model Training
Training classification, regression, and anomaly detection models directly inside C# workflows.
Generative AI & LLMs
Integrating Azure OpenAI, ChatGPT, and custom LLMs using Microsoft's Semantic Kernel SDK.
Vector Search & RAG
Implementing semantic lookup, vector indexing, and Retrieval-Augmented Generation using pgvector or Qdrant.
Computer Vision
Building OCR readers, image classification, and object detection systems leveraging C# ONNX runtimes.
Our AI Technology Stack
- ML.NET Engine (C# / F#)
- Microsoft Semantic Kernel
- Azure OpenAI & Cognitive Services
- ONNX Runtime Execution
- Vector Databases (Qdrant, Milvus)
- TensorFlow.NET & OpenCV C# Bindings
Our 5-Step AI Solution Delivery
Data Discovery
Auditing data payloads, target labels, security schemas, and classification goals.
Model Selection
Choosing between classical ML.NET models, vector schemas, or cloud LLM endpoints.
Training & Fine-Tuning
Developing training runs, loading vector indices, or programming Semantic Kernel agents.
Integration Testing
Injecting the inference pipeline into ASP.NET Core pipelines and validating latency.
Deployment & Monitoring
Releasing services inside containerized environments with telemetry tracking.
Why Choose Our .NET AI Engineering Squads
Zero Python Overhead
Execute inference models directly inside the C# CLR. This eliminates external REST dependencies, Python server configurations, and cross-runtime latency.
Enterprise Data Guard
Deploy your model pipelines securely on your Azure tenant. Private data bounds keep details isolated, protecting company records from public model training.
Low Latency Inference
Running local models using optimized ONNX runtimes inside ASP.NET Core gives sub-millisecond classification responses, perfect for transaction checks.
Hire Vetted AI/ML Solutions Experts
Consult with our solutions coordinators. We will analyze your specifications and supply top matching developers within 48 hours.
AI/ML with .NET FAQs
Using .NET (via ML.NET, ONNX runtime, or Semantic Kernel) lets you execute and orchestrate model tasks natively inside your compiled C# environment. This eliminates the operational cost, infrastructure overhead, and runtime latency of routing traffic to separate Python web microservices.
Yes. We leverage Microsoft's Semantic Kernel to build intelligent AI agents, implement chat-based interactions, and establish robust Retrieval-Augmented Generation (RAG) pipelines inside your web software.
We deploy isolated instances via Azure OpenAI. Your corporate documents, database records, and query history are kept safe within your subscription boundaries and are never utilized to train public systems.
Common business software includes automated document scanners (OCR/NLP), predictive equipment failure alarms, conversational database assistants, automated support routing engines, and user behavior prediction models.