Veritiana builds low-cost AI agent workflows for reliable website answers, AI-readable product data and operational business outputs. No open-ended guessing. No unsupported claims.
Every workflow starts from extracted, normalized and versioned business data.
Agents check whether an answer, signal or report is supported before it is generated.
Scoped retrieval and task-specific agents reduce unnecessary model calls and token waste.
Products
Each product solves a different business problem, but all use the same rule: verified input, controlled agents, traceable output.
Verified answers for websites, e-shops and company knowledge. It behaves like an intelligent answer layer, not a generic chatbot.
AI-readable product data infrastructure for e-commerce catalogs, product pages and machine-facing commerce signals.
Raw field notes, meeting context and operational input converted into verified reports, tasks and customer-ready messages.
Platform
Veritiana does not depend on one large prompt. It uses a controlled pipeline where each agent has a defined responsibility and each output has a status.
Unsupported requests are refused or redirected instead of being completed with invented facts.
Small scoped retrieval and task-specific agents avoid unnecessary context and broad model usage.
Answers, signals and reports can be linked back to source documents, chunks or validated fields.
Each deployment is calibrated on a validated business baseline, not generic AI behavior.
Agent model
Captures website content, product data, notes or user questions.
Checks source coverage, missing fields and unsupported claims.
Finds relevant verified evidence inside the approved context.
Decides whether the request is answerable or must be refused.
Creates the final answer, product profile, report or message.
Logs sources, confidence, status, missing topics and output history.
Labs
Labs are not the main product layer. They show future interfaces, education demos and agent simulations built around the same verified-agent thinking.
Wearable input, memory and real-world context for future agent workflows.
Open Lab - AI GlassesBrowser-native GPT training engine for transformer education and experimentation.
Open Lab - BABY GPTAutonomous entity simulation for decisions, memory, social dynamics and evolution.
Open Lab - Aura EntitiesStart here
Use Answer Engine for websites, Signal for e-commerce catalogs or SourceNote for operational notes. Each product can start as a controlled pilot.
Tell us which workflow you want to validate first.
partners@veritiana.com