The institutional memory
for your infrastructure.

Cortex is the operational intelligence platform that captures every incident, every resolution, every pattern — and pays it forward. Your team never fights the same fire twice. Your senior engineer's knowledge survives their resignation letter. High-confidence remediations run themselves. Every figure on the CIO dashboard traces back to a source record, not an inference.

Open the Live Demo → Book a 30-Minute Walk-Through
This site runs on Cortex. So does a live credit-union demo at cascadia.corengram.ai.
First topology in 60 seconds · On-prem, hybrid, or SaaS · BYOK AI (Anthropic / OpenAI / Gemini) · GLBA / SOC 2 / HIPAA / PCI-DSS ready

You're buying four tools and still paying this tax

Monitoring, ITSM, AIOps, and a CMDB — four stacks, four renewals, and the same three problems.

Alert fatigue is burning on-call

One upstream failure fires 1,000 alerts. Your on-call wastes an hour finding the root cause topology would answer in seconds. Your SRE team is leaving for a company that doesn't page them seven times a night.

Knowledge walks out the door

Your principal engineer gives notice and takes ten years of "the weird firmware thing on blade 7 during B-side failover" with them. Nobody wrote it down. Runbooks wouldn't have captured it anyway. The next P1 costs two hours and three war-room invites you didn't need to send.

Same incident, different quarter

It happened last March. Nobody remembers the fix. The runbook is six versions stale. The war room starts from scratch, on a Saturday, with the same three people asking "did anyone change anything?" The answer is yes — and your monitor doesn't know.

How Cortex works

Six steps from noise to institutional memory

1

Collect

33 collectors pull from your existing stack. Prometheus, Datadog, CloudWatch, vSphere, NetApp, SNMP — no rip and replace.

→
2

Detect

Real-time anomaly detection with online baselines — learns from day one. No training window, no cloud lock-in, no LLM token spend to score a metric.

→
3

Correlate

Topology-aware grouping reduces 1,000 alerts to 1 incident. Dependency analysis finds the upstream cause, not the downstream symptoms.

→
4

Remember

Every resolution is captured and linked to symptoms, root cause, affected systems, and the fix. Searchable forever. Context is never lost.

→
5

Heal

Playbook-based remediation fires automatically when confidence is high enough. Below the threshold, it suggests the fix and waits for approval.

→
6

Learn

Every success and failure adjusts pattern confidence. The system gets better. Operator feedback is first-class — approve, reject, annotate, suppress.

What makes Cortex different

Not another dashboard for dashboards. A system that remembers, reasons, and cites its work.

Institutional Memory

Every resolution becomes a structured, searchable artifact — symptoms, root cause, affected systems, the fix, who wrote it, when. Similar symptoms surface historical resolutions via Jaccard similarity on symptom tokens plus semantic embedding — not keyword search, not an LLM guessing. Your team's experience outlives any one engineer's tenure.

Living Topology

A dependency map built from how your infrastructure actually fails — alert co-occurrence, metric correlation, real packet flows — not from a hand-curated CMDB that went stale six months ago. Cypher queries via Apache AGE traverse "disk full on storage-array-7" to "$15K/hr revenue exposure" in milliseconds, and they cite every edge.

Self-Healing

YAML playbook remediation with confidence scoring on every pattern. Above your threshold, it fires automatically and records the outcome. Below, it suggests the fix and waits for approval — with the full evidence chain displayed. Failures adjust confidence down, successes up. You set the gate. You can roll back any action.

Honest AI — Every Figure Cites Its Source

Every precedent citation is scored 0–100 at resolve time. Every prevented-outage claim has a per-record appendix with the threshold rule that selected it. Every AI diagnosis names the tools it called and the records it consulted. No black-box AIOps score, no "trust us, it's magic." The PDF regenerates on demand; nothing is cached inference. Board-proof.

Progressive Trust

Start read-only. Cortex watches, learns, and recommends. Add approval gates when your team's comfortable. Move to full automation per-system, not all-or-nothing. Every action writes a tamper-evident audit entry tying it to a user, a reason, and a reversible diff. Roll back in one click. Never stuck with automation you don't trust yet.

Service Desk That Thinks

Full ITSM — incidents, problems, changes, catalog, CMDB — with a CSDM-aligned data model that imports from ServiceNow in one command. New tickets arrive pre-enriched: topology context, correlated changes, known errors, suggested runbooks with citation-quality scoring. On-call doesn't escalate for context because the context is already on the ticket. Customer extensions are data, not code — they survive every upgrade.

One platform. Six products. Replaces your stack.

Every module feeds the same knowledge graph. Each makes the others smarter. Missing modules degrade gracefully — deploy only what you need. One renewal, one login, one source of truth.

Core

Cortex

Infrastructure Intelligence · replaces Datadog / New Relic AIOps

Self-healing monitoring with 33+ collectors, online-baseline anomaly detection, living topology, alert correlation, institutional memory, causal-pattern learning, and predictive capacity forecasting. The foundation everything else plugs into.

  • 1,000 alerts → 1 root-cause incident
  • Blast radius in milliseconds
  • Patterns compound in confidence as they fire
Add-on

Service Desk

Enterprise ITSM · replaces ServiceNow / BMC Remedy

Full ITSM with a CSDM-aligned CMDB: incidents, problems, changes, catalog, and a knowledge base that auto-populates from resolved tickets. Tickets arrive pre-enriched with topology, suggested runbooks, and blast radius. One-command migration from ServiceNow. Customer extensions stored as data, not code.

  • Incidents, Problems, Changes, Catalog, CMDB
  • Pre-enriched tickets save on-call escalations
  • Customer fields survive every upgrade
Add-on

Atlas AI

Agentic Diagnostics · replaces BigPanda / Moogsoft AIOps

Autonomous agent with tool-use: searches operational history, walks topology, correlates recent changes, consults institutional memory, runs simulation scenarios, and returns a structured diagnosis with confidence and citations. BYOK — Anthropic, OpenAI, or Gemini. On-prem air-gap friendly. Graceful degradation to deterministic scoring when no key is configured.

  • Structured RCA with cited evidence
  • Searches history before the LLM guesses
  • Bring your own API key — no lock-in
Add-on

FinOps

Cloud Cost Management · replaces Apptio Cloudability / CloudHealth

Azure, AWS, and GCP unified cost visibility with budget alerts, waste detection, and per-team chargeback. The difference: cost feeds back into change simulation and topology — you see the price tag and the blast radius on the same pre-deploy report.

  • Cost by resource, service, and team
  • Waste finder with reclaim estimates
  • Pre-deploy cost + risk on one screen
Add-on

Compliance

Automated Evidence · replaces Drata / Vanta

SOC 2, GLBA, HIPAA, PCI-DSS, ISO 27001 evidence generated from actual operational records — not vendor questionnaires. Push-button audit reports cite source KG entries. Drift detection opens remediation tickets when a control degrades. Your examiner gets a regenerable artifact, not a screenshot from last week.

  • 5 frameworks, evidence from source records
  • Drift detection auto-opens remediation tickets
  • Regenerable on demand — no cached inference
Add-on

Deploy

Infrastructure Orchestration · complements Terraform Cloud / Spacelift

Terraform orchestration with landing zones (Azure CAF, AWS Well-Architected, GCP), environment promotion gates, and drift detection. Every plan runs through blast-radius simulation and policy-as-code compliance checks before touching production. Simulation results attach to the PR; approval workflow is scoped per environment.

  • Blast radius + cost + risk on every plan
  • Per-env promotion gates (tests / cost / drift / manual)
  • Drift detection auto-opens remediation changes
33 Collectors
1,900+ Tests
191 API Endpoints
0 AI Tokens to Score a Metric

See the receipts.

These figures are pulled live from cascadia.corengram.ai — a real Cortex tenant modeling a regional credit union with 140+ incidents, 30 work sessions, and 90 days of operational history. Every number below traces to a source record. Open the dashboard, poke around, regenerate the PDF yourself.

11 Prevented Outages (30d)
18% Precedent-Citation Rate
85/100 Avg Citation Quality
$59.6k Tracked Value Delivered

The honest part. The prevented-outage count comes with a per-record appendix naming every session that contributed — the threshold rule that selected it, the risk score, and a one-sentence AI-written business-risk narrative. The citation rate's 18% isn't a self-reported average: each tag was written at ticket-resolve time by a named resolver via the /resolve API and carries an audit event. Avg quality is the weighted mean across strong / moderate / weak matches, scored at citation time. No cached inference, no vanity metrics.

Open the Executive Dashboard → Download the PDF snapshot

API key available on request — auth keeps the demo clean between visitors. Ask and we'll send you one.

Break something. Watch Cortex fix it.

The Cascadia demo runs a real, writable Cortex tenant. Trigger a failure through the Simulate page and watch it propagate through the topology, fire the matched runbook, and post the resolution to institutional memory — live. Three minutes end-to-end. No slides.

Cortex self-healing demo: detect failure, match pattern, remediate, learn
Trigger a Simulated Failure → Tour the Production Instance

Two demo environments: cascadia.corengram.ai (credit-union workload, 140+ incidents seeded) and cortex.corengram.ai (monitoring CorEngram AI's own infrastructure — every incident is real). API key available on request.

How it learns

Cortex gets smarter the longer it runs. Here's the ramp.

Minute 1

Discovers your infrastructure

Port scanning, Docker API, Kubernetes API, cloud provider metadata. Automatic collector assignment. First topology edges appear.

Day 1

Maps topology, identifies single points of failure

Dependency map built from alert co-occurrence and metric correlation. Single points of failure flagged. Blast radius estimates on every system.

Week 1

Baselines established, anomalies detected

Welford's online algorithm learns normal. No training window — baselines start from the first data point and refine continuously.

Month 1

Institutional memory growing, patterns forming

Resolutions linked to symptoms and root causes. Causal patterns learned from incident sequences. Runbooks auto-generated from history.

Month 3

Self-healing with confidence, executive insights dense with data

High-confidence patterns execute automatically. Capacity forecasts predict issues weeks out. CIO dashboards show trends, not just status.

Built for regulated industries

Examiner-ready evidence generated from live operational records. Every control maps to a KG entry with a timestamp, an actor, and a diff — not a vendor questionnaire from 2023.

GLBA

Credit Unions & Banks

7/7 Safeguards Rule controls mapped to KG entries. 7-year audit retention. Access controls, encryption-at-rest, incident response, vendor oversight — all cite source records. NCUA § 748.2 change-control evidence exports in a single report.

SOC 2

Type II Ready

Trust Service Criteria covered across Security, Availability, Processing Integrity, Confidentiality, and Privacy. Continuous evidence — not a once-a-year scramble. Change control, access reviews, incident response tied to actual tickets.

PCI

DSS 4.0

Payment data isolation tracked in the CMDB. Role-based access enforced and audited. Change tracking with blast-radius impact on CDE boundaries. Quarterly ASV scan evidence integrates via the Compliance collector.

HIPAA

ePHI Handling

Administrative, physical, and technical safeguards. PHI access audit trail with tamper-evident logging. Risk assessment artifacts regenerable on demand. BAA-compatible deployment architecture — on-prem or private Azure.

Cortex is compliance-ready infrastructure — you still bring the audit relationship and the formal attestation. What Cortex eliminates is the evidence-gathering scramble and the gap between what your controls say and what your operations actually did. Ask to see a live regulator-ready export from the Cascadia demo.

We run Cortex on Cortex.

Our production instance at cortex.corengram.ai monitors CorEngram AI's own infrastructure — every container, every Postgres pool, every Azure resource behind this website. Every incident, every learned pattern, every compliance record shown there is real. We eat our own dog food daily, which is how we find the bugs before you do.

3,700+ Intelligence Records
57 Patterns Learned
8,000+ Graph Relationships
Tour the Live Production Instance

Plugs into your existing stack

33 collectors across every major infrastructure category. Cortex reads your tools, doesn't replace them — until you're ready. Then it does, one module at a time.

Prometheus
Datadog
Grafana
CloudWatch
Azure Monitor
Splunk
Dynatrace
PagerDuty
ServiceNow
Jira
Slack
Microsoft Teams
AWS
Azure
GCP
Kubernetes
Docker
VMware vSphere
Hyper-V
NetApp ONTAP
Pure Storage
Cisco UCS / Intersight
Postgres
SQL Server
Redis
SNMP (Cisco / HP / Dell)
Fortinet FortiGate
Palo Alto
Windows Event Log
Terraform
VS Code
GitHub Actions
Azure DevOps

Plus an AI-powered connector generator: paste an API doc URL, get a validated collector in under 10 minutes. Built-in safety sandbox blocks subprocess, eval, pickle, and unsafe network patterns before any new collector touches production.

See it on your infrastructure

30 minutes. A shared screen. We run Cortex against a slice of your actual environment — your monitoring feeds, your recent incidents, your topology. You see the first auto-discovered dependency map, the first institutional-memory match on a real historical incident, and the first compliance-evidence export. No slides. If it isn't useful in 30 minutes, we're wasting each other's time.

hello@corengram.ai