From custom ML models and computer vision to NLP, recommendation engines, and LLM-powered applications — we build AI that delivers real business value.
Build Your AI SolutionAt Syntektra Solutions, we design and deploy production-grade AI and Machine Learning systems that solve real business problems. We go beyond proof-of-concepts — our models are trained, evaluated, optimized, and deployed into scalable cloud infrastructure that your team can rely on.
We work across the full ML lifecycle — data engineering, feature engineering, model training, evaluation, deployment, and monitoring. Our team has delivered AI solutions across computer vision, natural language processing, time-series forecasting, recommendation systems, and generative AI for clients in healthcare, fintech, retail, manufacturing, and SaaS.
Whether you want to integrate OpenAI, Anthropic Claude, or self-hosted LLMs like LLaMA and Mistral into your product, or build a custom ML model from scratch on your own data — we have the expertise to deliver it end to end.
We build custom machine learning models tailored to your data and business problem — classification, regression, clustering, anomaly detection, and ranking models using scikit-learn, XGBoost, LightGBM, and PyTorch.
Object detection, image classification, facial recognition, OCR, defect detection, and video analytics using YOLO, EfficientNet, ResNet, and OpenCV. Deployed on cloud or edge devices.
Text classification, sentiment analysis, named entity recognition, summarization, translation, and semantic search using transformer models (BERT, RoBERTa, T5) and spaCy.
Integration with OpenAI GPT-4, Anthropic Claude, and Google Gemini APIs. We also fine-tune open-source LLMs (LLaMA 3, Mistral, Phi-3) on your domain-specific data for specialized tasks.
Connect LLMs to your internal knowledge base using RAG pipelines built with LangChain, LlamaIndex, and vector databases (Pinecone, Weaviate, pgvector). Your AI answers questions using your own documents and data.
Collaborative filtering, content-based filtering, and hybrid recommendation engines for e-commerce, media, and EdTech platforms. Personalized product, content, and course recommendations that drive engagement.
Demand forecasting, sales prediction, anomaly detection, and capacity planning using Prophet, LSTM, Transformer-based models, and statistical methods. Integrated with your existing data pipelines.
End-to-end MLOps pipelines using MLflow, DVC, and SageMaker. Automated model training, versioning, A/B testing, canary deployments, and drift monitoring — so your models stay accurate in production.
We set up and manage self-hosted LLM inference servers running LLaMA 3, Mistral, Mixtral, and Phi-3 using Ollama, vLLM, and llama.cpp on GPU-accelerated cloud instances or bare-metal servers with OpenAI-compatible APIs.
We build the data infrastructure your ML models need — ETL pipelines, feature stores, data lakes, and real-time feature engineering using Apache Spark, dbt, Airflow, and AWS Glue.
Full ML lifecycle — data engineering, training, deployment, and monitoring
LLM expertise — OpenAI, Claude, LLaMA 3, Mistral, and Mixtral
RAG pipelines connecting LLMs to your internal knowledge base
Self-hosted LLM servers — your data never leaves your infrastructure
Computer vision for defect detection, OCR, and video analytics
NLP for sentiment analysis, summarization, and semantic search
MLOps with automated retraining, versioning, and drift detection
Recommendation engines that drive engagement and revenue
Time-series forecasting for demand planning and anomaly detection
GPU-accelerated inference with model quantization for cost efficiency
Let's discuss how Syntektra Solutions can deliver AI & Machine Learning for your business.
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