Entelligence AI

Overview

Entelligence AI is an artificial engineering intelligence platform that provides full engineering domain context awareness throughout the software development lifecycle. It helps engineering teams with automated code reviews, codebase onboarding, documentation generation, and team performance insights. The platform integrates with GitHub, GitLab, Jira, Linear, and Slack to fit into existing workflows while maintaining security with SOC 2 and HIPAA compliance.

Key Features

AI-Powered Pull Request Reviews: Automatically reviews PRs in GitHub and GitLab with full codebase context, detecting critical bugs at a 67.1% rate while providing actionable feedback and precise explanations.
Deep Codebase Analysis: Understands context across files to detect complex issues, align with product goals, and enforce team standards without just flagging surface-level problems.
Automated Documentation: Generates and maintains documentation automatically from your codebase, reducing manual documentation overhead.
Team Performance Insights: Tracks DORA metrics, merge frequency, bug ratios, PR size, story points, and provides reports on sprint progress and engineer output.
Chat with Documentation: Powers conversational access to all knowledge sources including codebase updates, issues, PRs, and team conversations.
Third-Party Integration Support: Pulls any external or private repository into context while building, enabling smooth integrations with complete codebase awareness.
Security-First Architecture: Your code never leaves your environment with encrypted processing, SOC 2 and HIPAA compliance, and self-hosted deployment options on Azure, GCP, and AWS.

Pros

High Bug Detection Rate: Detects 67.1% of critical bugs compared to 8.1-29.8% from competitors, catching architectural and security issues that matter.
Faster Development Cycles: Real users report 10x faster development workflows and 70% reduction in time to merge across teams.
Quality AI Comments: 65% of AI-generated code review comments are accepted by developers, indicating high relevance and accuracy.
Full Context Awareness: Unlike tools that analyze files in isolation, understands relationships across your entire codebase, issues, and PRs.
Privacy Focused: Code never used for training or fine-tuning, with options for air-gapped deployment and complete infrastructure control.

Use Cases

Fast-Growing Startups: AgentOps uses Entelligence to handle hundreds of developer questions daily through chat-with-docs, surfacing relevant PRs and issues to provide complete context without manual searching.
Accelerated Development Teams: Vectorial AI achieved 10x faster development workflows by automating code reviews and gaining complete visibility into architectural changes, while reducing unnecessary meetings.
New Developer Onboarding: Engineering teams use the platform to help new hires understand unfamiliar codebases quickly through AI-powered codebase visualization and context-aware chat.
Third-Party Integration Projects: Developers building integrations pull external repositories into context alongside their own codebase, enabling smooth API integrations with full awareness of both systems.
Engineering Leadership: Managers track team velocity, sprint health, and OKR alignment through AI-powered insights and performance metrics to unblock issues and drive higher delivery rates.
Code Quality Enforcement: Teams maintain consistent code quality by automatically reviewing every PR against best practices, architectural standards, and security requirements before merge.

Frequently Asked Questions

How does Entelligence AI differ from other code review tools?

Entelligence AI provides full codebase context awareness, meaning it understands relationships across files, recent PRs, team standards, and product goals. While other tools flag isolated issues, Entelligence detects complex architectural and security problems by analyzing the entire system. It achieves a 67.1% critical bug detection rate compared to 8.1-29.8% from competitors.

Is my code secure with Entelligence AI?

Yes. Your code never leaves your environment and is processed with encryption. Entelligence is SOC 2 and HIPAA compliant, never uses your code for training or fine-tuning, and can be deployed in your own air-gapped environment. It's available on Azure, GCP, and AWS marketplaces for self-hosted deployment.

What integrations does Entelligence AI support?

Entelligence integrates with GitHub, GitLab, Jira, Linear, and Slack to fit into your existing workflow. It also supports pulling any third-party open source or private repository into context while building, making integrations smooth.

How much does Entelligence AI cost?

Entelligence offers a 14-day free trial with paid plans starting at $40/month. The free tier supports up to 5 private repositories, while team and enterprise tiers support unlimited repositories. Enterprise and self-hosted pricing requires contacting their sales team.

What kind of results can teams expect?

Real users report 10x faster development workflows, 70% reduction in time to merge, and 65% acceptance rate for AI-generated code review comments. Teams gain visibility into architectural changes, reduce meetings, and maintain high code quality while moving faster.

Can Entelligence AI help with developer onboarding?

Yes. Entelligence helps new developers understand unfamiliar codebases through AI-powered visualization, context-aware chat, and searchable access to issues, PRs, documentation, and team knowledge. Developers can ask questions and get answers with full context.

Does Entelligence AI provide team management features?

Yes. The platform tracks DORA metrics, merge frequency, bug ratios, PR size, story points, sprint progress, and output per engineer. It provides AI-powered sprint health checks, OKR alignment tracking, and performance insights for engineering managers.