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Dataleap

<name>Dataleap</name> <description>Dataleap provides a vibe working platform that enables teams to collaborate using ambient, data‑driven cues within their workflow. The platform integrates AI to surface relevant information in real time, helping users stay informed without interrupting their tasks. By embedding these insights directly into the

San Francisco, United StatesFounded 202351K+ followers
Updated 20 months ago

Funding

$850K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Market research often involves sifting through vast amounts of data from disparate sources to extract reliable statistics and insights, which is a time-consuming and inefficient process. Teams struggle to quickly access and validate information needed for informed decision-making.

Solution

Dataleap is an AI-powered market research assistant that streamlines data discovery and analysis. It combines a chat-based interface with a curated database of market data, providing users with instant access to relevant information. Every response is linked directly to its original source, ensuring transparency and facilitating confident citation. The platform also allows users to integrate internal knowledge bases, extract data from charts, and collaborate efficiently.

Target Audience

Dataleap is designed for market research teams, consultants, and analysts across various industries who need rapid access to validated market data and insights.

Features

  • ChatGPT-style interface for intuitive querying of market data
  • Curated database of market data with direct links to original sources
  • Capability to integrate internal knowledge bases by uploading documents and folders
  • AI-powered data extraction from charts and tables into Excel format
  • Enterprise-grade security with AES-256 data encryption in transit and at rest
  • Data segregation by workspace and organization using row-level access controls
  • Models where inputted data is not used for training of the models
  • SOC 2 Type 2 compliance (in progress) and planned ISO 27001 certification
This profile is AI-generated and may contain inaccuracies.