Entelligence
Entelligence.ai is a sophisticated AI tool designed to support and elevate software engineering processes. It functions as a collaborative pair, assisting in va...
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What is Entelligence?
Entelligence.ai is an AI-powered engineering intelligence platform designed to help development teams move faster, write better code, and collaborate more effectively. It introduces intelligence into every stage of the engineering process with actionable insights, automated documentation, and high-quality code reviews that evolve with your codebase. The platform serves developers, engineering managers, product leads, and DevOps teams by enabling faster onboarding, smarter decisions, and more efficient collaboration powered by actual codebase data rather than guesswork.
The core capabilities include AI-powered pull request reviews with adversarial verification that tries to disprove every finding before you see it, automated documentation generation that creates architecture breakdowns and maintains technical docs automatically, and team performance insights that provide comprehensive analytics on code quality and impact. The platform features a Context Engine that answers questions about your code mid-reasoning, Incident Learning that trains on production failures, IDE extensions for VS Code/Cursor/Windsurf, Deep Wiki auto-docs, and cross-repo impact analysis. It integrates seamlessly with Slack, Discord, Jira, Linear, Notion, Confluence, Sentry, PagerDuty, and Datadog.
Entelligence is specifically built for engineering teams who need contextual code reviews that understand their entire codebase, catching 70% more bugs while enabling teams to merge 3x faster. It's ideal for developers who want instant code understanding and bug detection, tech leads who need to visualize codebases and review PRs faster, product managers seeking implementation details without technical深度, and engineering managers measuring productivity and accelerating delivery at scale. The platform is built for teams that can't afford to get code quality wrong, with SOC 2 compliance and zero-retention policies.
The platform provides full visibility into AI-assisted PRs for engineering leaders, showing which bets are safe, which will become incidents, and what tools returned. Individual performance data is visible to both engineers and managers with transparent scoring per sprint, without keylogging—only git outputs are used. Setup takes 10 minutes with no professional services required, and value is delivered in the first sprint.
Entelligence pricing
Pricing model: Freemium
Entelligence offers a free tier that supports up to 5 private repositories. Team and enterprise tiers support unlimited private repositories. The platform can be entirely self-hosted and is available on Azure, GCP, and AWS marketplaces. Enterprise self-hosted offerings require contacting [email protected]. Specific pricing amounts are not publicly listed - users must book a call with the founder to get customized pricing details. The free tier allows teams to test core features before upgrading.
Entelligence pros
- Catches 70% more bugs than human review alone
- Enables teams to merge code 3x faster
- Adversarial verification tries to disprove every finding
- Context Engine answers code questions mid-reasoning
- Incident Learning trains on post-mortems to prevent recurring failures
- IDE extension available for VS Code, Cursor, and Windsurf
- Automated documentation generates architecture breakdowns automatically
- Cross-repo impact analysis identifies dependencies across files
- Full codebase understanding beyond basic diff reading
- Team Insights provides multi-dimensional performance analytics
- Individual performance scored and narrated per engineer per sprint
- Integrates with Slack, Jira, Linear, Notion, Confluence, Sentry
- Zero retention policy - code never stored, logged, or shared
- Your code never trains Entelligence models - ever
- Setup in 10 minutes with no professional services needed
- Direct Slack support access, not a ticketing queue
- Engineers see the same performance dashboard as managers
- No keylogging - data derives entirely from git outputs
- Self-hosted option available on Azure, GCP, and AWS marketplaces
Entelligence cons
- Free tier limited to 5 private repositories only
- SOC 2 compliance still in audit window, not fully compliant yet
- Self-hosted enterprise offering requires emailing for access
- Team and enterprise tiers needed for unlimited private repositories
- No publicly listed pricing - requires booking a call with founder
- Primarily focused on engineering teams, less useful for non-technical roles
- May require workflow adaptation to integrate with existing tools
- AI-generated documentation may need manual review and edits
Frequently asked questions about Entelligence
How many private repositories does the free tier support?
The free tier supports up to 5 private repositories. Team and enterprise tiers support unlimited private repositories, allowing larger teams and organizations to work with their complete codebase without restrictions.
Can I self-host Entelligence on my own infrastructure?
Yes, Entelligence can be entirely self-hosted and is currently available on the Azure, GCP, and AWS marketplaces. For the enterprise self-hosted offering, you need to reach out to [email protected] to discuss your specific requirements.
Is Entelligence SOC 2 compliant?
Entelligence SOC 1 Trust center is available on their website. They are currently in the SOC 2 audit time window and will be fully SOC 2 compliant within 3 months. The platform is built with security and privacy as top priorities, with zero retention policies.
Does Entelligence store or use my code for model training?
No. Your code is never stored, logged, or shared. It is processed in memory only, and when the review completes, it's gone. Your code never trains Entelligence models - not now, not ever. This isn't a setting, it's the only mode they operate in with zero retention.
What programming languages does Entelligence support?
Entelligence AI Docs supports multi-language including TypeScript, Python, Go, Java, and more. The platform analyzes source files, commit history, code semantics, and repository structure regardless of language, making it compatible with most modern programming languages used in software development.
How does the adversarial verification in code review work?
Unlike most AI review tools that just flag suspicious items, Entelligence's Ellie runs an adversarial loop that generates findings and tries to disprove them before you see them. This means every finding has been vetted through adversarial verification, reducing false positives and ensuring only real issues surface to developers.
What tools does Entelligence integrate with?
Entelligence integrates with Slack and Discord for communication, Confluence, Google Docs, and Notion for documentation, Jira, Linear, and Asana for project management, and Sentry, PagerDuty, and Datadog for observability. You connect once and everything gets smarter with automated workflow integration.
How long does it take to set up Entelligence?
Setup takes approximately 10 minutes with no professional services required and no onboarding marathon. You can create your account, set up your organization, connect your code, and start seeing value in the first sprint. The platform is designed for immediate usability.
Is the performance monitoring surveillance of developers?
No. Entelligence is designed to help, not report on people. Individual performance data is visible to engineers themselves - transparency goes both ways. There is no keylogging; data derives entirely from git outputs. Engineers see the exact same dashboard their manager sees, and managers get plain-language signals on who to check in with.
How does Incident Learning prevent recurring failures?
Entelligence reads your team's post-mortems along with the diff. Race conditions and auth bypasses become patterns that Ellie hunts for in future reviews. Production alerts link back to the exact code and reviewer log automatically, and recurring failures surface with one-click applicable fixes, turning past failures into prevention.