From LLM-powered products to custom ML pipelines — we help you build AI that drives real business outcomes, not just demos.
Fenizo takes AI from proof-of-concept to production. Whether you need a custom LLM fine-tuned on your data, a computer vision pipeline, or a recommendation engine, our ML engineers deliver models that scale reliably in the real world.
Deep domain knowledge means we hit the ground running in your vertical.
Advanced capabilities and integrations that power every solution we deliver.
OpenAI, Anthropic, Gemini, Llama — fine-tuned and RAG-enhanced
Object detection, segmentation, OCR, and video analytics
Sentiment analysis, entity extraction, summarisation, translation
Pinecone, Weaviate, pgvector — semantic search at scale
MLflow, Kubeflow, SageMaker — reproducible, monitored pipelines
Predictive analytics, forecasting, and intelligent dashboards
A transparent, proven methodology honed across 200+ projects.
Define the business problem, success metrics, data availability, and feasibility.
Data collection, labelling, cleaning, feature engineering, and pipeline setup.
Experiment tracking, model selection, training, and hyperparameter optimisation.
Offline metrics, bias audits, explainability checks, and stakeholder review.
Model serving (REST/gRPC), A/B testing, shadow mode, and gradual rollout.
Data drift detection, model decay alerts, retraining triggers, and SLA reporting.
GPT-4, Claude, Gemini-powered chatbots, copilots, and automation pipelines.
Image classification, object detection, and video analytics for industry.
Document intelligence, sentiment engines, and conversational AI.
Retrieval-augmented generation over your private knowledge base.
Forecasting, anomaly detection, and recommendation engines.
End-to-end ML pipeline infrastructure with automated retraining.
Tell us about your project — we'll come back within 24 hours with a plan.