Comparisons
The build-vs-buy, X-vs-Y decisions every AI project runs into, answered.
AI Consulting vs AI Development: Deck or Working Software?
AI consulting or AI development? One leaves a strategy deck; the other ships software your team logs into. When to use each, and which moves a number.
Read →AI Proof of Concept vs Production Build: What to Fund
AI proof of concept or production build? Why most pilots never reach P&L, what a POC actually proves, and when to skip straight to a narrow production slice.
Read →Offshore vs Onshore AI Development: Cost, Speed, Control
Offshore or onshore AI development? Compare cost, speed, seniority, timezone and control, and when an offshore studio beats an onshore agency.
Read →Agentic AI vs RPA: What's the Difference?
RPA follows fixed rules; agentic AI decides its own steps. When traditional automation is enough, when you need agents, and how they work together.
Read →AI Agency vs In-House Team: Which Is Right for You?
Hire an AI development agency or build an in-house team? Compare speed, cost, hiring risk and control, and when a hybrid beats both.
Read →Build vs Buy AI: How to Decide
Should you build custom AI or buy an off-the-shelf tool? A decision framework based on differentiation, data, fit and total cost, not hype.
Read →Chatbot vs AI Agent: What's the Difference?
A chatbot answers; an AI agent acts. Understand the difference, when a simple bot is enough, and when you actually need an agent that takes actions.
Read →No-Code AI vs Custom Development: Which to Choose?
No-code AI tools ship fast for standard needs; custom development wins on fit, integration and ownership. How to choose, and when no-code hits a wall.
Read →RAG vs Fine-Tuning: Which Should You Use?
RAG grounds a model in your documents; fine-tuning changes its behaviour. A practical guide to which to use, when to combine them, and what each really costs.
Read →- Glossary: Plain-English definitions of the AI, data & delivery terms buyers actually search.
- Cost guides: What AI actually costs to build: real number ranges, not vague estimates. USD for US and Singapore teams, ₹ for India.
- Use cases: What we build, by industry and function, each backed by a shipped, anonymized case.
- Locations: Hiring an AI development company: where we build from, and who we build for, across the US, Singapore and India.
- What Finzarc builds: solutions →
- The delivered-build ledger →
30 minutes with the founding team. Bring the problem; leave with a scope and a timeline.