ENGINEERING INTELLIGENCE
INTRODUCING
Radix
The context graph for engineering
cost
runtime
deploys
ai usage
THE PROBLEM
Your tools each see one slice. When something goes wrong, your team stitches the story together by hand, across dashboards, Slack threads, and people who each hold one piece.
Without Radix
Disconnected
Engineering Intelligence
Knows latency spiked. Not what shipped.
APM
missing · deploy → perf
Cost monitoring
Knows spend moved. Not why.
FinOps
missing · commit → cost
AI coding tools
Ships fast. Production-blind.
Agents
missing · blast radius · pre-merge
Service catalog
Updated last quarter. Maybe.
CMDB
missing · ownership · current
With Radix
Context graph · live
PR
4 s
svc: checkout-api · SLO breach
root_cause: commit a3f92b1
Cost Spike
6 s
AWS bill +30% · us-east-1
Terraform deploy tf-2847
AI Code
pre-merge
PR #2847 · cursor-agent
blast: 14 svcs · +$480/day
Coverage
live
247 services · 2.4M edges
100% attributed · always current
∅
Stop stitching stories across tabs.
Manual correlation
→
Trace every signal to its cause in seconds.
Graph traversal
⌁
Know the blast radius before the merge.
Pre-merge answers
WHAT RADIX IS
The layer your stack is
missing.
Radix is an engineering intelligence platform built on a context graph. It ingests signals from across the delivery lifecycle (cost, runtime, deploys, AI usage, infrastructure, ownership) and maps the relationships between them. Not in a dashboard. In a graph that understands causation.
ASK RADIX
01
What changed
Every commit, deploy, config flip, ordered on a single timeline.
02
What it broke
Blast radius traced from the change to every downstream service.
03
What it costs
Cloud spend and token burn attributed back to the commit that caused it.
04
Who owns it
Current on-call, team, and code-owner, always up to date.
05
How far it travels
Four hops across the graph: commit → deploy → cost → user.
Monitoring
→
Understanding
That's the difference Radix draws.
THE CONTEXT GRAPH
Every service, ticket, deploy,
dollar and human
Radix is a context engine for engineering. It ingests your services, teams, deploys, incidents, costs, AI agents and cloud. It then resolves every relationship so you can answer “what depends on what” in one hop, not seven tools.
RELEASES
PRs across teams
Blast radius of PRs
Affected services
KNOWLEDGE GRAPH
Context across functions
Team-level insights
Tools & service relationships
COST INTELLIGENCE
Cost impact across services
Tool & people-level costs
Business-level metrics
Take the context graph on a test run.
Interact with the elements below to see how you can surface engineering intelligence across releases, teams, and cost.
INTERACTIVE SCROLL BELOW
PLATFORM MODULES
One core. Open signals.
The Radix Context Graph Engine binds every signal from your engineering functions, commits, deploys, costs, ownership into one living map. So what matters, why it matters, and the next move forward become obvious.
COST OF BROKEN CONTEXT
Broken context costs you
in engineering inefficiency.
Untracked spend
costs you margins.
Both cost you time.
Amnic helps engineering teams fix what you can't see, before it shows up in the incident channel, the cloud bill, or the exit interview.
Four teams, four blind spots, one missing layer.
AMNIC · CONTEXT GRAPH FOR ENGINEERING
OUTPUTS
What Radix puts in your hands.
PROACTIVE FINDINGS
Cost anomalies with cause attached.
Surfaced before you go looking, tied to the exact deploy.
INSTANT ROOT CAUSE
Any cost to the exact commit.
Seconds, not shifts. The graph already knows.
PR CONTEXT
Blast radius before merge.
Downstream impact and cost delta injected into every PR.
COST ATTRIBUTION
Every dollar to a service and team.
Full COGS visibility, no manual tagging.
LIVING CATALOG
Service inventory that updates itself.
Derived from runtime, never from a spreadsheet.
UNIT ECONOMICS
Cost per tenant, feature, transaction.
Rolled up automatically from the request path.
