Custom AI/ML Solutions
AI/ML Model Development Tailored to Your Business
From predictive analytics and recommendation engines to anomaly detection, personalization, and custom-trained Large Language Models (LLMs) — Banao Technologies delivers AI/ML solutions that fit your data, workflows, and industry. Whether you need smarter decision-making, automated insights, or enterprise-grade AI copilots, we build scalable, secure, and high-performing models to drive your business forward.
Why Custom AI/ML Models Matter
General-purpose AI is powerful, but custom-built AI/ML models trained on your unique datasets provide unmatched accuracy, personalization, and business impact. From fraud detection to hyper-personalized recommendations and industry-specific copilots, our models give you a competitive advantage with solutions that align with your goals and data governance needs.
Our AI/ML Development Services
From strategy to deployment, we build AI/ML models that are robust, scalable, and production-ready.
Talk to Our AI/ML Engineers
AI Strategy & Use-Case Discovery
Identify high-impact AI/ML applications in your organization, define KPIs, risks, and success metrics.
Data Collection & Preprocessing
Aggregate, clean, and structure large-scale datasets to ensure reliable model training.
Predictive Analytics Models
Leverage machine learning to forecast demand, detect trends, and optimize decision-making.
Recommendation Engines
Build AI systems that deliver hyper-personalized product, content, or service recommendations.
Anomaly & Fraud Detection
Deploy real-time AI models to detect outliers, prevent fraud, and secure transactions.
Custom LLM Development
Fine-tune or build Large Language Models tailored to your data and enterprise needs.
Deployment & API Integration
Deploy AI/ML models to cloud or on-prem environments with monitoring, APIs, and SDKs.
MLOps & Continuous Optimization
Implement retraining, monitoring, and scaling pipelines to keep models accurate and reliable.
AI/ML Models Built for These Industries
Retail & E-commerce
Boost sales with personalized recommendation engines, dynamic pricing models, and customer churn prediction.
Education & EdTech
Develop adaptive learning systems, student performance prediction, and personalized tutoring assistants.
Healthcare & Wellness
Build AI models for disease prediction, diagnostic assistance, anomaly detection in medical imaging, and patient personalization.
Finance & Insurance
Deploy fraud detection, credit risk modeling, portfolio optimization, and personalized financial advisory engines.
Manufacturing & Supply Chain
Leverage predictive maintenance, demand forecasting, and anomaly detection in production for efficiency gains.
Customer Support & Productivity
Automate workflows with AI copilots, intent prediction, and NLP-driven support systems that reduce resolution times.
Recent Work
Elisa AI Callbot
Elisa, a leading telecommunications provider, collaborated with Banao Technologies to build an AI-driven callbot and automation system. The goal was to handle an unprecedented surge in customer requests efficiently during a national crisis, ensuring uninterrupted service, faster response times, and reduced dependency on manual agents.
Fuzu, a leading East African career platform, partnered with Banao Technologies to enhance their user experience through a powerful AI-driven recommendation engine.
Supply chain
A leading logistics and manufacturing enterprise partnered with Banao Technologies to build an end-to-end Supply Chain Intelligence Platform.
Data Tagging System
A leading data-driven enterprise collaborated with Banao Technologies to streamline its massive information management workflow. The objective was to automate manual content categorization and data tagging using AI and NLP models, enabling faster document processing, improved data accuracy, and enhanced search relevance across millions of records.
Flow Legal AI
Flow Legal collaborated with Banao Technologies to create an end-to-end AI solution that automates document review, contract drafting, and summarization for law firms and in-house legal teams.
Our AI/ML Model Development Lifecycle
Business & Use-Case Discovery
Identify high-impact AI/ML opportunities. Define business goals, success metrics, and model requirements aligned to your industry.
Data Strategy & Preparation
Collect, clean, and preprocess structured or unstructured data. Ensure quality, privacy, and readiness for model training.
Model Selection & Training
Choose the right algorithm or architecture (ML models, deep learning, or LLMs). Train or fine-tune for your specific use cases.
Evaluation & Validation
Validate models with rigorous testing—accuracy, precision, recall, fairness, and bias checks to ensure reliability.
Deployment & Integration
Deploy models to cloud, on-prem, or edge environments. Integrate seamlessly with apps, dashboards, and business workflows.
Monitoring & Continuous Improvement
Enable real-time monitoring, drift detection, and automated retraining with MLOps pipelines for long-term performance.
Client Success Stories
Ananya Bhardwaj
VP, Strategy & Innovation, NovaChain
Harshil Jain
Head of Digital, MedNova Health
A game-changing consulting engagement
The Banao team gave us a clear AI strategy that accelerated our adoption by 18 months. Their structured approach and business-first thinking were exceptional.
Where we're located
Let's Build Something Great Together. 🤝
Here is what you will get for submitting your contact details.
45 minutes of free consultation- A strict non-disclosure agreement
- Free market & competitive analysis
- Suggestions on revenue models & planning
- Detailed feature list document
- No obligation proposal
- Action plan to kick start your project
Frequently asked questions
Do you build only LLMs or also other AI/ML models?
We develop both — custom-trained LLMs for NLP use cases, and traditional AI/ML models for predictive analytics, recommendation systems, anomaly detection, and more.
Can you build AI/ML models from scratch or just fine-tune?
Both options are available. We can train models from scratch using proprietary data or fine-tune pre-trained models for faster, cost-effective deployment.
Which frameworks and models do you work with?
We work with TensorFlow, PyTorch, Scikit-learn, and open-source LLMs like LLaMA, Mistral, Falcon, and Gemma. Model choice depends on performance, licensing, and your domain.
How do you ensure AI/ML models are accurate and safe?
We apply rigorous testing for accuracy, fairness, and bias. For LLMs, we also use guardrails, moderation layers, and red-teaming to ensure safe outputs.
Do you develop Retrieval-Augmented Generation (RAG) pipelines?
Yes. We specialize in RAG for LLMs, and also build knowledge graph–based and hybrid retrieval systems for domain-specific AI use cases.
Can AI/ML models be deployed on-premise?
Absolutely. We support deployment to cloud, on-prem, and edge devices with secure APIs, monitoring, and MLOps pipelines.