Euclid — AI solutions, built on proof
We keep AI systems working, or build the ones that will.
Every engagement starts the same way: trace the system, find where the logic breaks, then construct the fix.
Hover the points in the diagram above to see where systems break.
Given
Output quality has quietly degraded
Nobody noticed until customers did. There was no alert, because there was nothing watching.
The original developer is gone
The freelancer or agency that built it is unresponsive, or the person who understood it left the company.
Nobody can explain the pipeline
Ask three people what the system does and get three different answers, none of them complete.
Costs crept up with no clear cause
The bill grew. The output didn't get better. Nobody traced why.
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To construct
Two ways in, depending on what already exists.
If — a system already exists
§01 — RescueAI System Rescue & Maintenance
Given a system that has stopped working, produce a system that works, and an account of why.
Learn more →If — there's no system yet
§02 — BuildAI-Native System Builds
Given a problem with no system yet, construct one designed to be traced, evaluated, and trusted from the start.
Learn more →Products
Euclid builds and maintains its own tools, to stay sharp on the same problems clients hire us to solve.
Cascaid
In developmentPredictive cascading-failure intelligence for agentic and RAG pipelines. Watches the graph of a running pipeline and flags the component about to take the rest of the system down, before it happens.
LangGraph · LiteLLM · Graph Store · GNN
View project →LocalForge
BetaAn on-device AI code-review engine that intercepts every git commit. Three layers, Rust regex, CoreML, and a local LLM, entirely on Apple Silicon.
Rust · CoreML · MLX · SwiftUI
View project →Bernn
Launching Oct 2026One glance at everything you're burning: cloud infra and AI API spend, consolidated into one mobile dashboard, widget, and alert system.
React Native · Supabase · AWS Cost Explorer
View project →Construction
Every engagement follows the same four steps.
Diagnose
Trace the system end to end until we know exactly where the logic breaks or drifts.
Construct
Build or rebuild the pipeline from first principles. Every component earns its place.
Prove
Verify outcomes against measurable, traceable results. If we can't show you why, it isn't done.
Maintain
Keep it working after launch, on-call or on retainer, or hand it back fully understood.
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Proof
Why this holds up against the alternatives.
Assumed
A freelancer or agency can disappear once paid.
Actually
Euclid's diagnosis is the first deliverable, documented and yours regardless of what happens next.
Assumed
An in-house hire takes months and leaves with the knowledge.
Actually
An engagement starts in days, and the account of the system stays with your team either way.
Assumed
Most tools trace failures after they happen.
Actually
Cascaid, one of Euclid's own products, is built to flag the failure before it cascades.
Questions
Before you start
- §1 — The difference
- §2 — Legacy systems
- §3 — Scope
Diagnosis comes before any code changes, and it's documented, not just performed. That account is yours whether or not the engagement continues.
That's most of what Rescue engagements are. You do not need the original developer's notes or cooperation. We read the system as it runs.
No. Any AI-native system: agentic pipelines, evaluation harnesses, retrieval systems. If it can silently degrade in production, it's in scope.
Q.E.D.
Start a project
- Diagnosis first
- Documented, not performed
- Yours regardless
Tell us what's going on. We'll tell you what we'd do about it.
Start a project