BackEngine

BackEngine is a data infrastructure platform designed to centralize and organize a company's scattered knowledge, specifically optimizing it for use with artificial intelligence. Its primary function is to act as a bridge between internal information sources—such as CRM, emails, call recordings, and chats—and large language models (LLMs). Unlike traditional data connectors that only act as transfer channels, this tool processes and structures information so that AI can reason about it accurately and efficiently.

BackEngine's operation is based on the creation of a governed context layer. It automatically connects to common corporate applications, including Salesforce, HubSpot, Slack, Zoom, Gmail, and Microsoft Teams. Once linked, the platform organizes data by relevant dimensions such as contact, topic, urgency, or account health. This allows employees to interact with their company's information using simple commands directly from their usual chat interfaces, such as Claude, ChatGPT, or Gemini, without needing to open new tabs on their computer.

Key capabilities and practical benefits include:

• Improved Accuracy: Reduces AI factual errors by 67% by providing verified and structured data, enabling correct answers on the first try without the need to retrain models.
• AI Cost Efficiency: Optimizes token consumption by up to 65%. By delivering clean and organized context, the AI model requires fewer resources to process queries, resulting in significant savings per user.
• Security and Governance: Centralizes data access into a single connection point. It implements a strict permission system where each user only views the information they are authorized to access, complying with standards such as SOC 2 and HIPAA.
• Workflow Automation: Facilitates the creation of risk summaries, forecast analysis, and meeting preparation. Results can be delivered on a scheduled basis to platforms like Slack.

This solution is particularly useful for sales, customer service, and product management teams that handle large volumes of fragmented data. By unifying each customer's history in a single AI-accessible location, BackEngine helps identify accounts at risk or prioritize feature requests based on their impact on revenue. Implementation is agile, allowing data to be ready for artificial intelligence queries in less than a day, improving the return on investment in automation technologies.