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Claro Historia

Claro Historia provides an AI‑powered query interface that lets teams ask plain‑English questions and receive instant, sourced answers from the data already stored in Slack, Google Drive, Gmail, Calendar, GitHub, Jira and other tools. By aggregating and contextualizing information at the project level, it reduces onboarding time, eliminates repetitive queries, and delivers clear answers without requiring data migration.

Newark, United States · HQ
Founded 2026210+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Teams store critical project information across Slack, email, calendars, documents, and ticketing systems, making it difficult to locate relevant details quickly. This leads to long onboarding times, repeated queries to senior staff, and loss of context when employees leave.

Solution

Claro Historia indexes a company’s existing data sources—including Slack, Google Drive, Gmail, Calendar, GitHub, and Jira—and provides a natural‑language interface that returns concise answers at the project level. Users type plain‑English questions and receive an instant response together with links to the original source material, eliminating the need to search multiple tools. The service runs on the organization’s own data without requiring migration, and setup is completed within a week with full onboarding support. By surfacing decisions, ownership, and timelines directly from emails, chats, and tickets, the platform reduces ramp‑up time and repetitive interruptions for senior staff.

Target Audience

Primary customers are product and engineering teams in mid‑size to large enterprises that rely on Slack, cloud docs, and issue‑tracking systems for project collaboration and need faster access to historical context.

Features

  • Connectors for Slack, Google Drive, Gmail, Calendar, GitHub, Jira, and additional sources
  • Natural‑language query engine that returns a single answer with source citations
  • Project‑level context aggregation across disparate tools
  • Secure data handling: encrypted at rest, scoped per project, no cross‑workspace sharing
  • Rapid deployment on customer data within a week, managed end‑to‑end by the provider
  • AWS‑based infrastructure with continuous sync via Lambda functions
This profile is AI-generated and may contain inaccuracies.