
Baaz is an AI software development company based in Bangalore, India, shipping computer vision, NLP, predictive models, and production ML integrations for enterprises and startups worldwide since 2018.
We're an artificial intelligence company specialising in research & product development. We build solutions that detect, predict, and automate—from computer vision and NLP to custom models and deployment.
AI software development is the process of building applications powered by artificial intelligence — including machine learning models, natural language processing, computer vision, and predictive analytics. It involves data engineering, model training and fine-tuning, API development, and production deployment to solve specific business problems at scale.
Production ML: monitoring, data contracts, CV/NLP/RAG with governance — we align models to audit and risk requirements for regulated and industrial clients.
Defect detection, facial recognition, visual analytics.
Chatbots, sentiment analysis, language models.
Forecast future trends with machine learning.
Train, fine-tune, and deploy tailored AI models for your business.
Scalable APIs and cloud-based deployment for real-time performance.
Step into focused capability pages aligned to teams, toolchain choices, and common integration patterns—from web runtimes through data, AI workloads, and cloud delivery.
An AI software development company builds applications that use machine learning, natural language processing, computer vision, and other AI technologies to solve business problems. This includes everything from data pipeline engineering and model training to API development and production deployment. At Baaz, we focus on practical AI — solutions that deliver measurable ROI, not just demos.
AI development costs $30,000–$300,000+ depending on the use case. A proof-of-concept or pilot runs $30,000–$75,000. A production-ready AI product with custom models, integrations, and monitoring costs $75,000–$300,000. The biggest cost variable is data preparation — which accounts for 60–80% of project time in most AI projects.
Artificial Intelligence (AI) is the broad field of building systems that simulate human intelligence. Machine Learning (ML) is a subset of AI that focuses on algorithms that learn from data without explicit programming. Deep learning is a further subset using neural networks. In practice, most 'AI products' use machine learning models trained on business-specific data.
A proof-of-concept takes 4–8 weeks. A production-ready AI product typically takes 3–9 months, depending on data availability, model complexity, and integration requirements. The timeline is heavily influenced by data quality — projects with clean, labelled data ship significantly faster. At Baaz, we start with a focused pilot to prove value before scaling.
Industries with large datasets and repetitive processes benefit most: financial services (fraud detection, risk scoring), healthcare (diagnostic imaging, patient triage), manufacturing (defect detection, predictive maintenance), retail (personalisation, demand forecasting), and logistics (route optimisation, inventory management). According to McKinsey, AI could generate $2.6–$4.4 trillion in annual value across industries globally.
You need structured, relevant data — typically hundreds to thousands of labelled examples for supervised learning. For computer vision, you need annotated images. For NLP, you need text data in your domain. If you don't have enough data, we can start with pre-trained models, transfer learning, or synthetic data generation. We assess data readiness in our discovery phase before committing to a model approach.