# Optimal AI — Full Site Documentation for LLMs

> Optimal AI is an engineering optimization platform with two core products: Optibot (AI-powered code review) and Engineering Insights (real-time engineering analytics). Trusted by teams at MongoDB, HubSpot, Prometric, and more.

## Company Overview

Optimal AI helps engineering teams ship faster, more securely, and more predictably. The platform connects to your existing Git and project management tools (GitHub, GitLab, Bitbucket, Jira, Slack) to provide AI-powered code review and engineering analytics — with zero changes to your team's workflows.

Based in San Francisco, CA. SOC 2 Type II certified.

## Products

### Optibot — AI Code Review Agent
Optibot is an AI senior engineer that reviews every pull request in 1-4 minutes with full codebase context. Unlike basic AI tools, Optibot indexes your entire repository structure, dependencies, and conventions.

Key capabilities:
- Line-by-line PR review with security vulnerability detection
- Full repository context awareness (not just diff-based)
- Supports Python, TypeScript, React, C, C++, PHP (Laravel), Java, Go, Rust, and more
- 2-click installation via GitHub/GitLab
- Zero code retention — code is processed ephemerally
- Security Dependency Bundler — consolidates Dependabot PRs into manageable bundles

Results customers see:
- 2x more security vulnerabilities found vs. other tools
- 30-50% reduction in PR cycle time
- ~50% reduction in average PR size
- Reviews complete in 1-4 minutes

### Engineering Insights — Analytics Platform
Real-time engineering metrics derived from your source code and project management data.

Key capabilities:
- PR cycle time visualization and optimization
- DORA metrics tracking (deployment frequency, lead time, change failure rate, MTTR)
- Sprint performance analysis (planned vs. unplanned work)
- Team workload balancing and distribution
- AI-powered actionable recommendations
- Goals and initiatives tracking
- Effort breakdown by work type (features, bugs, tech debt, KTLO)
- Weekly, monthly, and quarterly views by team and product line

## Integrations

- Source Control: GitHub, GitLab, Bitbucket
- Project Management: Jira, Azure DevOps, Linear
- IDEs: VS Code, Cursor
- Communication: Slack
- CI/CD: Works with existing pipelines

## Security & Compliance

- SOC 2 Type II certified
- AES-256 encryption (in transit and at rest)
- Zero code retention — code processed ephemerally
- Infrastructure hosted on Google Cloud Platform (US)
- SAML-based SSO and role-based access controls
- 99.99% uptime SLA
- Option for dedicated single-tenant environment
- Vulnerability reporting: support@getoptimal.ai

## Agents

### AppSec Agent — AI Security Scanning
URL: https://getoptimal.ai/agents/appsec
Optibot's AppSec Agent provides AI-powered application security scanning with full codebase context. Unlike traditional SAST tools that match known patterns, the AppSec Agent understands how code actually behaves — tracing data flows, identifying exploit paths, and surfacing context-specific risks.

Key capabilities:
- Context-aware vulnerability scanning (not pattern matching)
- MITRE ATT&CK technique and CVE.org alignment on every finding
- Automatic issue filing in GitHub and GitLab repositories
- Manual and scheduled scans (daily, weekly, monthly, or custom cadence)
- Three quality tiers: Low Cost, Balanced, Best Quality
- Real-time scan progress in the Optimal UI
- Evidence-backed findings with remediation guidance
- Zero code retention — ephemerally processed, never stored

Replaces: Snyk, SonarQube, Mend, Veracode, Checkmarx
Pricing: AI Credits model — prepaid organizational balance, pay per scan

### CI Fixer Agent — Automatic Build Repair
URL: https://getoptimal.ai/agents/ci-fixer
Optibot's CI Fixer Agent eliminates manual CI debugging. It detects failed CI runs, reads full error logs, identifies root causes, commits targeted fixes directly to the branch, and re-triggers the pipeline — all automatically.

Key capabilities:
- Automatic detection of failed CI runs on every PR
- Full log analysis: stack traces, type errors, missing imports, config issues
- Codebase-aware patches (understands your types, imports, module structure)
- PR comment explaining what broke, what changed, and why
- Works with GitHub Actions, GitLab CI/CD, CircleCI, Jenkins, and more
- VS Code and Cursor IDE integration
- Zero data retention
- Enable with one toggle — no config files, no pipeline changes

Impact: ~30 minutes saved per CI failure, zero manual triage steps, 24/7 active on every PR
Pricing: AI Credits model — pay per fix

### Dependency Bundler — Consolidate Dependabot PRs
URL: https://getoptimal.ai/agents/dependency-bundler
Optibot's Dependency Bundler monitors incoming Dependabot pull requests, classifies each update by severity and compatibility, and consolidates compatible updates into a single PR. Breaking changes are flagged separately and never accidentally bundled.

Key capabilities:
- Automatic Dependabot PR detection and analysis
- Severity classification: Low, Medium, High, Critical
- Compatibility assessment: which updates can safely bundle together
- Single consolidated PR with full summary of all included changes
- Breaking changes separated into dedicated PRs with explicit documentation
- Auto-approval configuration for non-breaking, low-risk updates
- Zero code retention

Requirements: GitHub only (not GitLab). Dependabot must be enabled on the repository.
Pricing: Included with Optibot subscription

## Customer Results

- MongoDB: Cut PR size by ~50%, eliminated manual Excel workflows
- Prado: 5x'd daily deploys (1-2 → 5-6), 30% faster reviews
- Nearfleet: 75% PR cycle time reduction, 30+ hours reclaimed weekly
- Soraban: 2+ hours reclaimed weekly, 5 vulnerabilities blocked monthly
- Prometric: 40+ hours of spreadsheet work eliminated per quarter
- Artemis Ops: 20% faster reviews without adding headcount

## Contact

- Demo: https://getoptimal.ai/demo
- Contact form: https://getoptimal.ai/contact
- Email: support@getoptimal.ai
- Address: 548 Market St #36879, San Francisco, CA 94104

## Case Studies

### MongoDB — 50% Smaller PRs, Faster Cycle Times
URL: https://getoptimal.ai/case-studies/mongodb
MongoDB engineering team used Optimal AI to reduce average PR size by ~50%, eliminate manual Excel-based reporting workflows, and improve PR cycle time visibility across the engineering organization. Engineering manager Lila Brooks: "We cut PR size nearly 50% and improved cycle time by understanding where reviews were slowing down."

### Prado — 5× More Deploys, 30% Faster PR Cycles
URL: https://getoptimal.ai/case-studies/prado
Prado went from 1–2 daily staging deploys to 5–6 after adopting Optibot AI code review and Optimal Insights. PR review cycle time dropped 30%. Engineers stopped waiting on human reviewers for routine changes.

### Nearfleet — 75% Faster PRs, 30 Hours Reclaimed Weekly
URL: https://getoptimal.ai/case-studies/nearfleet
Nearfleet eliminated timezone-related review bottlenecks with Optibot. PR cycle time fell 75%, the team reclaimed 30 hours per week, and Optibot achieved a 99% PII detection catch rate in code reviews.

### Soraban — 2+ Hours Saved, 5 Vulnerabilities Blocked Monthly
URL: https://getoptimal.ai/case-studies/soraban
Soraban replaced noisy SAST tools with Optibot's context-aware AI code review. Each engineer reclaimed 2+ hours per week. Optibot catches 3–5 security vulnerabilities per month that slipped through before.

### Prometric — 50% Faster PRs, 40+ Hours Saved Per Quarter
URL: https://getoptimal.ai/case-studies/prometric
Prometric's FineTune engineering team unified Jira and GitHub data in Optimal Insights. PR cycle time improved 50%, leaders recovered 40+ hours of manual reporting work per quarter, and billing accuracy reached 100%.

### Artemis Ops — 20% Faster Reviews, Zero Bottlenecks
URL: https://getoptimal.ai/case-studies/artemis-ops
Artemis Ops used Optibot to cut code review time 20%, eliminate single-reviewer bottlenecks, and automatically sync 100% of PR activity to Notion. CEO Sam Lee: "We used to read through every single change. Now, we still skim but we rely on Optibot to highlight the big issues."

## Changelog Highlights

- **Automatic Reviews on New Commits** (https://getoptimal.ai/changelog/automatic-reviews-on-new-commits): Optibot now triggers a full AI review on every new commit pushed to an open PR — no manual re-request needed.
- **GitLab Integration** (https://getoptimal.ai/changelog/gitlab-integration-and-faster-code-review-performance): Native GitLab support with inline comments, faster review performance.
- **Inline GitLab Comments + Compliance Checks** (https://getoptimal.ai/changelog/inline-gitlab-comments-on-demand-compliance-checks-and-smarter-re-reviews): On-demand compliance checks, smarter re-review logic, inline comment threads on GitLab.
- **Branch Review** (https://getoptimal.ai/changelog/introducing-branch-review-analyze-entire-pull-requests): Review entire PRs and branches holistically, not just individual file diffs.
- **Optibot Claude Code Skill** (https://getoptimal.ai/changelog/optibot-claude-code-skill---optibot-code-reviews-built-into-claude-code): Optibot code reviews built directly into Claude Code IDE.
- **Optibot for App Sec** (https://getoptimal.ai/changelog/optibot-for-app-sec-ai-security-agent): Optibot operating as a dedicated application security agent with deep vulnerability analysis.
- **VS Code Extension** (https://getoptimal.ai/changelog/optibot-now-in-vs-code-new-release): Optibot available as a VS Code extension for in-editor reviews.
- **Slack Integration** (https://getoptimal.ai/changelog/optibot-slack-integration---real-time-pr-reviews-productivity-alerts): Real-time PR review notifications and engineering productivity alerts delivered to Slack.