Intelligence trained on
your data.
We go beyond API wrappers. Our AI/ML engineering practice builds custom models, embeddings, data pipelines, and production ML systems — trained on your domain, deployed at scale.
Core capabilities
Custom model training
TrainingDomain-specific models trained from scratch or fine-tuned from foundation models on your labeled data — classification, regression, NLP, vision.
LLM fine-tuning & RAG
LLMFine-tune foundation models (GPT, Llama, Mistral) on your domain. Build retrieval-augmented generation systems that answer from your knowledge base.
Data pipelines & feature stores
DataReliable data ingestion, transformation, and feature engineering pipelines that keep your models fed with clean, consistent data.
MLOps & production deployment
MLOpsDeploy models with version control, A/B testing, automated retraining, and monitoring for drift — so your ML systems stay accurate in production.
What you get
- Custom ML model training and evaluation
- Fine-tuned LLM on your domain data
- Data pipeline design and implementation
- Feature engineering and dataset curation
- Model deployment (API or embedded)
- MLOps: monitoring, retraining, versioning
- Evaluation framework and benchmarks
- Technical documentation and handoff
How we work
We review your data, define the ML problem precisely, and set realistic success metrics before any training begins.
Clean, label, and engineer features from your raw data. The quality of training data determines model quality.
Train, evaluate, and iterate on models with rigorous holdout testing and metric tracking.
Serve models via API, monitor for drift, and set up automated retraining pipelines so they stay accurate.
Tools & technologies
Who this is for
Domain-specific classification
EnterpriseCustom classifiers for your industry data — medical records, legal documents, financial reports, technical logs.
Intelligent product features
Product teamsRecommendations, search ranking, anomaly detection, and personalization embedded directly into your product.
Private LLM on your data
Knowledge-heavy orgsA fine-tuned or RAG-powered LLM that answers from your internal knowledge base — privately and accurately.