Question 1

What does an AI software development company do?

Accepted Answer

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.

Question 2

How much does AI development cost?

Accepted Answer

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.

Question 3

What is the difference between AI and machine learning?

Accepted Answer

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.

Question 4

How long does it take to build an AI product?

Accepted Answer

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.

Question 5

What industries benefit most from AI development?

Accepted Answer

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.

Question 6

What data do I need to build an AI solution?

Accepted Answer

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.

AI Software Development Company That Turns Data Into Intelligence

What our AI software development includes

Computer Vision

Natural Language Processing (NLP)

Predictive Analytics

Custom AI Models

Integration & Deployment