# BackEngine

> BackEngine connects your scattered company data to AI tools like Claude, ChatGPT, and Gemini — making it ready for AI use in under a day, without new apps or training.

BackEngine is a company knowledge layer that makes scattered, siloed business data instantly accessible to AI assistants like Claude, ChatGPT, and Gemini. It connects to tools your team already uses — Salesforce, HubSpot, Gong, Zoom, Gmail, Outlook, Slack, Teams, and more — and surfaces the right context directly inside the AI your team already opens every day. Setup takes 15 minutes to connect, with data ready in under a day.

## What It Is

BackEngine sits between your existing business systems and your AI tools, acting as a governed, intelligent context layer rather than a simple connector. When a user types `/backengine` in Claude or ChatGPT, the AI receives clean, organized, permission-filtered context from across your company's data sources — without the user needing to switch apps, copy-paste data, or re-prompt. The product is delivered as an MCP (Model Context Protocol) server, meaning it plugs directly into AI interfaces that support MCP.

## How It Works

BackEngine reads customer and account data from connected systems, organizes it according to your team's playbook, and delivers it to AI on demand. Key mechanics include:

- **One governed connection point** — instead of wiring each AI tool directly to each data source, BackEngine acts as a single, permissioned intermediary
- **Role-based data access** — each person's AI sees only what they're authorized to see
- **Automatic context assembly** — account prep, risk scans, forecast reviews, and win walls are generated from live data across systems
- **Token efficiency** — the vendor's benchmark claims the same AI output requires 65% fewer tokens compared to direct system connections, citing 48.3K tokens vs. 137.3K tokens per query on the same task set

## Benchmark Claims

BackEngine publishes a head-to-head benchmark comparing its approach against direct system connections. According to vendor-published results, AI using BackEngine context achieves a 78% first-try accuracy rate versus 20% when wired straight into systems, with 67% fewer factual errors and 2.4× more critical facts surfaced. The vendor also claims approximately $1,300 per user in annual token savings. These figures are self-reported and have not been independently verified.

## Audience and Use Cases

BackEngine is positioned for revenue and post-sales teams — account executives, customer success managers, and sales leaders — who need AI to act on live account data. Vendor-published customer quotes reference use cases including:

- Meeting prep and account briefings
- Proactive churn and risk detection
- Forecast reviews and pipeline analysis
- Feature request prioritization by revenue impact
- Client lifecycle tracking

The product page lists customers including Crayon, Care2, Tattle, Partnerize, Dig Insights, SkillCycle, GeniusVets, and others, with 30+ testimonials and 5 case studies published on the site.

## Deployment and Security

BackEngine is SOC 2 and HIPAA compliant, signs BAAs, and maintains a public Trust Center. The architecture is designed so that all data access flows through a single governed connection rather than multiple direct integrations, which the vendor argues simplifies permission management and reduces exposure. The product runs as a cloud service; there is no local installation required for end users.

## Pricing Model

BackEngine prices by the number of customer accounts tracked, not by seats or agents. Seats and agents are unlimited on every plan. The vendor describes a true-up model where price holds flat throughout the year and adjusts only at renewal based on account growth — with no mid-year overages. Every plan includes all connections, white-glove setup, dedicated customer success, and a prompt library of 100+ starting prompts.

## Features
- Connects to Salesforce, HubSpot, Gong, Zoom, Gmail, Outlook, Slack, Teams, and more
- MCP server integration with Claude, ChatGPT, and Gemini
- Permission-filtered context delivery per user
- Account prep, risk scans, and forecast reviews
- 65% token reduction vs. direct system connections (vendor claim)
- Unlimited seats and agents on every plan
- White-glove setup and dedicated customer success
- 100+ prompt library included
- SOC 2 and HIPAA compliant
- Single governed connection point for all data sources
- Automatic account context assembly
- Churn and risk detection alerts
- No new app or tab required for end users

## Integrations
Salesforce, HubSpot, Gong, Zoom, Gmail, Outlook, Slack, Microsoft Teams, Fireflies, Claude, ChatGPT, Gemini

## Platforms
WEB, API

## Pricing
Subscription-based

## Links
- Website: https://www.backengine.com
- Documentation: https://backengine.com/how-backengine-works
- EveryDev.ai: https://www.everydev.ai/tools/backengine