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Like a rainbow cake, an AI application looks simple from the outside. Cut into it and there are layers: the classic app underneath, and four new layers on top that decide whether the AI is accurate, safe and affordable.
The AI stack
Most teams are strong on the bottom four or the top four. An AI product needs all eight working together.
What we build
Chat and voice assistants that answer from your own documents and data, and show where each answer came from.
Chores described in plain English, carried out by agents on a schedule, with a person approving what matters.
Find anything across files, tickets, email and wikis, with answers instead of ten blue links.
Read, sort and extract from contracts, invoices and forms, with a person checking the edge cases.
Add AI features to the app your customers already use, metered and monitored from day one.
Replace the spreadsheet everyone is scared to touch with a real app your team will actually like.
The common traps
The AI can’t see your data, so it answers confidently and wrongly.
AI-first: retrieval and context designed in from the start, so answers come from your sources.
It impressed the board, then stalled on security, cost and “who maintains this?”.
AI-first: pilots built on the production stack, with monitoring and costs, so the next step is a release.
Usage grows, the AI bill grows faster, and nobody can say which feature spent it.
AI-first: every AI call metered by feature and customer, with budgets and alerts.
Proof, not promises
VeraGen’s own apps are built on these eight layers: an assistant that answers from your files, agentic workflows on a schedule, search over your documents, and AI usage metered to the cent.
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Read moreTell us what you want built. You’ll hear back within one business day with questions, a rough plan and an honest view of whether AI-first is the right fit.