Zaro Reviews & Product Details

Future proof your enterprise AI. Most enterprise AI projects fail on the same problem, and it is not the model. Point an agent at raw source systems at runtime and you flood its context window, get confident wrong answers, and cannot audit what happened. So the next project starts over. Another pipeline, another set of permissions, another six months. Zaro is the layer that makes your company AI-ready, safely, once, so you do not rebuild it for every tool. Every AI project after Zaro is faster and cheaper, because the hard work is already done. HOW IT WORKS Zaro runs agentic ETL across your systems of record and refines what it finds into versioned, reverse-indexed files with semantic search over them. Data is pre-processed rather than queried raw at runtime, so an agent retrieves only what a given step needs. That is what stops context window blowup and the hallucinations that come with it. ALWAYS CURRENT, NOT A SNAPSHOT Knowledge graphs and vector stores are built once and go stale. Zaro's layer is writable. Agents read from it and write back to it in real time, and connected sources refresh every five minutes rather than in an end-of-day batch. The layer gets more useful every time the business runs. AUDITABLE BY DESIGN Every read and write is traceable: who updated what, when, and which file sourced which answer. That is not a reporting feature. It is what gets your next AI project through security review and procurement instead of stalling there. Scoped access controls, per-action audit logs, isolated sandbox VMs for code execution, tenant isolation at every layer. BUILT ON YOUR STACK, OWNED BY YOU Zaro connects through open standards to the systems large organisations actually run on, including Microsoft SharePoint, Microsoft 365, Snowflake, Databricks, Microsoft Fabric, Salesforce, ServiceNow and Workday. No proprietary integration layer, no connector paywalls. Your context stays yours and stays portable. Model-agnostic routing sends routine work to cost-efficient models and hard work to frontier models, cutting inference cost roughly tenfold against frontier-only, and keeps running if any single provider goes down. WHAT TEAMS BUILD ON IT Configurable agents that run on a schedule, on a trigger, or on demand, under scoped permissions, requesting approval before sensitive actions. Live applications generated from the layer itself, connected to real data and updated as it changes. WHO IT IS FOR Enterprises of 1,000 people and above, where a Chief Data Officer, Head of AI Transformation or data transformation lead owns the mandate to make AI work across the organisation rather than in one team. Book a demo to see your own data made AI-ready.