Meet Zeno, your AI engineering teammate.
Zeno writes, operates, and repairs code autonomously. From ticket to verified PR in minutes, not hours.
The civilizational bottleneck
Software is limited by human handoffs, not code generation.
SDLC Built for Humans
The current development lifecycle assumes human handoffs at every step. This worked when humans wrote all the code.
LLMs Stall on Context
AI can write code, but lacks operational context and verification capabilities. It doesn't know your system's history.
Close the Loop
Give agents operational literacy and proof capabilities. The loop closes. Software can repair itself.
“AI-native SDLC where incidents resolve themselves under policy. Reliability becomes a property, not a promise.”
Your AI teammate that never sleeps
Zeno turns incidents into fixes. Faster MTTR, fewer escalations, and code that's proven before it ships.
Five steps from alert to resolution
Capture
Zeno monitors tickets, Slack threads, and alerts in real-time
Understand
Builds complete context with code history, ownership, and system state
Diagnose
Identifies root cause with concrete evidence and impact analysis
Fix
Generates comprehensive fix with tests and validation
Ship
Creates PR with full verification, ready for review or auto-merge
Choose your autonomy level
Triage & Route
Analyzes issues and routes to the right team member
Diagnose
Provides detailed root cause analysis with evidence
Fix & Verify
Creates tested fixes with safety controls
Auto-resolve
Fully autonomous resolution within policy bounds
Real impact, measurable results
Faster MTTR
Issues auto-resolved
Fewer escalations
Avg time to fix
Building the AI-native SDLC
The platform pieces that let agents understand your system and prove fixes
Operational Memory
Owners, code history, decisions, flags, runbooks - your org's institutional knowledge
Context Packs
Just-enough context assembled per ticket or incident for accurate diagnosis
Proof Engine
Ephemeral environments and critical user journey validation before merge
Orchestration & Policy
A0→A3 autonomy levels with approvals, audit trails, and safety controls
Our Principles
Institutional-first, runtime as evidence
Your org's knowledge matters more than generic models
Verify before merge
Every change is proven in a clean environment first
Policy-gated autonomy
You control the level of automation (A0-A3)
Everything auditable
Complete trail of decisions and actions
Lives where you already work
FAQ
About Zeno and autonomous incident resolution