Cielara

Crash avoidance for AI generated code

Cielara uses a living model of your software to simulate every code change, map the blast radius, and block failures before they reach production.

What Cielara does

The safety layer for enterprise software

01

Foresight

See the blast radius before you deploy. Cielara runs every change against an exact copy of your production environment, showing you what gets touched, what breaks, and who gets affected.

1. Simulated production 2. Actual production

02

Resolve

Follow any failure back through the commit, the pull request, and the person who approved the change. Root cause in seconds, not hours

03

Cortex

Cielara studies how your specific environment operates and get sharper with every deployment, incident, and fix. With time Cielara evolves with your organization as you do.

Who Cielara is for

For the full software development life cycle

DESIGN

Architects

Describe an architectural change in plain English. Cielara runs a causal simulation grounded in your history, dependencies, and past failure modes.

Native chat

WRITE

Developers

Cielara protects against changes before they hit your product, giving real-time causal feedback that respects your codebase's intent and conventions.

AI-powered code review

SHIP

Release gates & platform teams

Cielara runs inside GitHub CI and performs two checks: first to predict downstream impact, second to verify the code against your team’s own proven patterns.

GitHub CI

How it works

A mathematical standard for prevention

The Map

A continuously updated, living representation of your production system. Powered by Reasonara, our causal memory system with a 125M token context window.

The Physics Engine

A simulation engine that uses causal modeling to test real-world impact. Blocks changes that will break downstream systems.

The Brain

Over time, Cielara tunes itself to your specific architecture, learning your failure modes, rewarding correct predictions, and getting sharper with every deployment.

Proof

Better on every axis that matters

+10%

+10%

Title

more accurate than GPT-5.4 and Claude Opus 4.6 at localizing faults in code.

+20%

+20%

Title

CS/technical domain understanding vs. frontier models

5-8x

5-8x

Title

Inference speed improvement

98%

98%

Title

Token reduction at equivalent accuracy

Benefits

Engineered for how enterprise software breaks

A structural map of your codebase

Cielara builds a six-layer causal graph of your production environment: intent, ownership, code, policy, infrastructure, and runtime.

Pre-deployment verification

Catch structural failures before merge or deployment, helping teams shipping hundreds of weekly pull requests avoid costly incidents.

125M+ token context window

Cielara holds your entire production codebase in memory. Every file, function, and dependency ready to be utilized.

Reduce agent waste

The Production World Model lets current coding agents navigate directly to relevant code, cutting search time.

Built-in decision record

Changes, approvals, and constraints are all captured. The reasoning behind any deployment is explicit and queryable.

You stay in control

Cielara suggests. You approve. The system earns trust by proving suggestions before taking action.