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Inteldo

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(1)5.0/5

Inteldo is an AI agent platform for business analytics. An orchestrator takes a plain-language question and routes it to specialist agents - a Revenue Analyst, Product Analyst, SEO Analyst, Traffic Analyst, Research Analyst, and others - which query connected data sources first-hand and synthesise their findings into a single report. Connected data sources include Stripe, Google Analytics 4, Google Ads, PostHog, Google Search Console, Ahrefs, and GitHub. Connections are made through OAuth and API keys, and are read-only by default. Each agent queries its source directly rather than working from a cached snapshot, so the numbers in a report reflect the live state of the connected account. The agents cross-check each other's findings before the report is written. When one agent's answer depends on another's - for example, a revenue figure that a traffic analyst needs to interpret - the orchestrator passes the dependency through and the second agent reasons against the first agent's result. The final report combines the agents' findings into one document with charts, tables, cited sources, and prioritized recommendations. Inteldo also runs recurring analysis on a schedule. A user can set a report to refresh daily, weekly, or monthly, and the platform surfaces metric shifts as signal boards - a running view of which numbers moved and by how much. Reports can be exported to PDF, DOCX, XLSX, and PPTX for sharing with stakeholders who do not log in. The platform is built for teams that need analysis from several tools at once but do not want to build and maintain a data warehouse. Instead of exporting CSVs from each source and stitching them together, a user asks a question in plain language and the agents pull the relevant figures from each connected source, cross-check them, and return a single cited report. The work that would normally go into data engineering goes into asking better questions. Typical questions the agents answer include how revenue changed month over month and what drove the change, which marketing channels are underperforming against spend, where organic traffic is growing or falling and which pages are responsible, and which product events correlate with retention. Each answer carries the source it came from, so a reader can trace any figure back to the tool that produced it.

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