Re-entry.ai

What Re-entry.ai does

Re-entry.ai is an early-stage, cloud-hosted SaaS governance platform that scores the risk of every pull request in real time and enforces organizational code-change policies, with a specific focus on governing code generated by autonomous AI coding agents such as Cursor, GitHub Copilot, and Claude Code. Its core engine applies an FMEA (Failure Mode and Effects Analysis) methodology — evaluating Likelihood, Impact, and Detectability — across code diffs, file sensitivity, and historical incident patterns, then triggers automated actions such as blocking high-risk merges, requesting reviewers, opening Jira tickets, or escalating to Slack and PagerDuty. A distinguishing component is the MCP Gateway, a Model Context Protocol API through which AI agents query risk assessments and receive allow, block, or require-human decisions, with every API call captured in an immutable audit trail for compliance. Guardian Mode monitors GitHub protected branches via webhooks for sub-second push-event intervention.

The platform is delivered as a self-serve SaaS product with OAuth-based GitHub onboarding, supported by documentation, a help center, and a changelog, alongside a contact/sales path for enterprise buyers. Pricing is presented as tiered SaaS plans, though specific levels are not publicly disclosed; the company cites tiered subscription as its revenue model. Re-entry.ai targets two primary segments: engineering teams deploying AI coding agents that need automated guard enforcement, and larger enterprise engineering organizations with compliance and audit requirements. No named customers, funding rounds, or revenue figures are disclosed in available data, and headcount is listed at 1–10 employees. Supporting infrastructure partners include Hetzner and the Google Cloud for Startups program, and the founding leadership comprises Jan Sebastian Steffen (CEO) and Kyle Nelson (CTO/CXO).

Name

Re-entry.ai

Legal name

re-entry.ai

Website

https://re-entry.ai

Company type

Private

Founded year

2026

Operating status

Operating

Headcount range

1–10 employees

Short description

Re-entry.ai is an AI-driven governance platform that scores pull request risk in real time using FMEA methodology and enforces code-change policies for AI-generated code from agents such as Cursor, GitHub Copilot, and Claude Code, serving engineering teams and compliance-focused enterprises.

Ownership category

akta.pro rank

Product category

AI Code Governance Software

NAICS

Computer Systems Design and Related Services (54151)

SIC

Services-Computer Programming, Data Processing, Etc. (7370), Services-Computer Integrated Systems Design (7373)

akta.pro primary industry

Model Governance, Risk & Compliance (GRC) Platforms (HDAAAKAA)

akta.pro secondary industries

Responsible AI, Security & Privacy Platforms (Safety, Guardrails, PII) (HDAEANAG), AI Observability, Monitoring & Evaluation Platforms (Drift, Quality, Safety) (HDAEANAF), Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL), Identity, Access & Secrets Management for AI Systems (IAM for agents/models) (HDAAAKAJ), Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) (HDAAAMAE)

Keywords

• AI code governance
• PR risk scoring
• Developer security platform
• AI agent oversight
• Compliance automation

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Marketing or Sales

Revenue model

1. SaaS Subscription (inferred): Tiered subscription plans offered via a pricing page (plans not publicly disclosed in scraped content). The product is delivered as a cloud service integrated with GitHub, Jira, Slack, PagerDuty, and Sentry via OAuth and webhooks.
2. Tiered SaaS Plans: Pricing page exists at re-entry.ai/pricing indicating multiple plan tiers. Specific pricing details are not publicly disclosed in available source content.

Go-to-market motion3 records

Distribution channels3 records

Marketing channels5 records

Core offering

Re-entry.ai provides a cloud-based governance platform that analyzes every pull request for risk using FMEA methodology, enforces organizational policies through machine-driven guards, and integrates with AI coding agents (Cursor, GitHub Copilot, Claude Code) via an MCP Gateway API to deliver allow/block/require-human decisions. The platform combines real-time PR risk scoring, guard-driven incident response, Guardian Mode branch protection, and immutable audit trails for compliance.

Product overview

Re-entry.ai is a unified governance platform for the agentic era, consisting of several integrated components: the Automated PR Risk Scoring engine (core product) that analyzes pull requests in real time; the AI Agent Governance layer (core product) that governs autonomous AI coding agents; the MCP Gateway (core API product) that enables agents to query risk assessments via the Model Context Protocol; Guard-Driven Incident Response that automates policy enforcement; and Guardian Mode for branch protection. These products work together as a cohesive risk and governance layer that sits above GitHub, Jira, and Slack.

Differentiator

Problem solved

Functional benefit

Products and services

• AI Agent Governance Governance layer for autonomous AI coding agents (Cursor, GitHub Copilot, Claude Code) that delivers risk assessments, guard compliance checks, and allow/block/require-human decisions through the MCP Gateway. Built for engineering organizations deploying AI-generated code.
• MCP Gateway Model Context Protocol API gateway that enables AI coding agents to query risk assessments, check guard compliance, and receive governance decisions before executing code changes. Logs every API call in an immutable audit trail.

Quantifiable outcome

• AI agents generate code with 2.74x more vulnerabilities
• +1 more outcomes

Segments2 records

Ideal customer profiles2 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration5 records

AI capability5 records

Feature6 records

Partnerships

Eight partnerships are on record, tiered minor, core and secondary.

• HetznerminorOthersHetzner is listed as an infrastructure partner providing cloud infrastructure for Re-entry.ai's platform.
• Google Cloud for StartupsminorOthersGoogle Cloud for Startups program provides cloud credits and startup support to Re-entry.ai.
• Caps & Collars HamburgminorOthersCaps & Collars Hamburg is listed as a supported partner, though the nature of the relationship is not detailed in available content.
• GitHubcoreTechnology or IntegrationGitHub is a core integration: Re-entry.ai connects via OAuth, monitors pull requests for risk scoring, enforces branch protection via webhooks, and assesses push events for Guardian Mode. GitHub is fundamental to the product's risk detection engine.
• JiracoreTechnology or IntegrationJira integration enables automatic ticket creation and issue linking based on risk assessment results. Ticket context is incorporated into risk assessments. Core operational integration for incident response workflows.
• SlackcoreTechnology or IntegrationSlack is used for stakeholder notifications, incident alerts, and escalation messages. Automated escalation workflows route to Slack channels based on guard-triggered events.
• SentrysecondaryTechnology or IntegrationSentry integration ingests error and incident signal data to inform risk assessments and enrich the governance context.
• PagerDutysecondaryTechnology or IntegrationPagerDuty integration handles incident escalation and on-call alerting, routing high-risk guard triggers to on-call responders via PagerDuty.

Scale indicators3 records

Recent moves6 records

Expansion highlights5 records

Broad incumbents

• Atlassian Compass: Atlassian's developer experience platform integrates with Jira and Bitbucket for engineering governance. Compass provides a component catalog and health scores, overlapping with Re-entry.ai's governance-overlay positioning within the Atlassian ecosystem.
• Veracode: Veracode is an established application security platform with static analysis, SCA, and policy governance. Both companies serve enterprise security and compliance buyers, though Veracode's scope is broader and not focused on AI-agent-specific risks.
• GitHub Advanced Security: GitHub's native security suite (Code Scanning, Secret Scanning, Dependabot) operates on the same PR and OAuth surface Re-entry.ai depends on. As the owner of Copilot, GitHub is uniquely positioned to add AI-agent governance natively, making it the most consequential incumbent.

Emerging players

• Moderne: Moderne performs automated code analysis and mass refactoring at scale on enterprise codebases. It overlaps with Re-entry.ai's automated PR-level code analysis and governance for large engineering organizations.
• Cortex: Cortex provides an internal developer portal with scorecards, service catalog, and engineering governance. Both companies sit above the SDLC as governance overlays focused on engineering productivity and compliance.
• Socket: Socket focuses on supply-chain and malicious-package detection for open-source dependencies. It overlaps with Re-entry.ai's mission of securing AI-assisted development, though Socket targets dependency risk rather than AI-generated PR risk.
• LinearB: LinearB provides engineering productivity and workflow governance metrics, including PR review automation and policy enforcement. It overlaps with Re-entry.ai's PR-level intervention and team-level guardrails.
• Jellyfish: Jellyfish offers engineering management and governance analytics tied to SDLC workflows. Both companies address engineering leaders seeking visibility and policy enforcement over developer workflows.

Direct peers

• Sonar (SonarQube / SonarCloud): Sonar provides automated code quality and security analysis integrated into CI/CD and developer workflows. Both companies score code changes for risk and enforce quality gates, with Re-entry.ai specializing in the AI-agent-generated subset.
• Snyk: Snyk is a developer security platform covering code, dependencies, and IaC. Both companies target engineering teams with code-level risk scoring and policy enforcement, though Snyk focuses on open-source and dependency vulnerabilities while Re-entry.ai focuses on AI-generated code risk.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks5 records

Key highlights6 records

Customer concentration

• Xx.com/Reentryai

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Re-entry.ai