AI-native · DevOps intelligence

The engineering
brain your
team needs.

Noctrix connects your code, incidents, infrastructure, and team signals into a single intelligence layer — delivering prescriptive AI across every phase of the engineering lifecycle.

AR
KM
SJ
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Trusted by 200+ engineering teams at Series B–D companies
infra-iq · cost-analysis.json
"potential_monthly_saving": "$14,820" "findings": [ "8x r5.2xlarge → r5.large (low util)"
noctrix · sentinel-ops · incident #142
noctrix analyze --incident 142 --deep ── CONTEXT ASSEMBLED (2.1s) ────────────── affected : payment-service, order-api trigger : deploy #3847 @ 14:32 UTC risk flag: HIGH (CodeLens flagged this PR) ── ROOT CAUSE HYPOTHESIS ───────────────── confidence 91%: null-check regression similar to : incident #118, #89 ── SUGGESTED OWNERS ────────────────────── @riya.s · payment-svc · oncall @dan.k · order-api · 87% match noctrix draft-rca --push confluence ✓ RCA drafted and pushed to Confluence
MTTR reduced ↓ 64%
Review time ↓ 41%
Infra savings $14.8k/mo

CONNECTS TO YOUR EXISTING STACK — NO MIGRATION REQUIRED

GitHub
GitLab
Datadog
PagerDuty
AWS
GCP
Azure
Jira
Linear
Slack
Terraform
Kubernetes
Grafana
Confluence
GitHub
GitLab
Datadog
PagerDuty
AWS
GCP
Azure
Jira
Linear
Slack
Terraform
Kubernetes
Grafana
Confluence

Your tools see silos.
Noctrix sees the system.

📝
Code review has no context

Reviewers don't know which past incidents touched this code, what the blast radius is, or which services depend on these exact paths. Reviews are slow and miss architectural drift entirely.

🚨
Incidents eat time, not downtime

60–80% of incident duration is spent correlating signals — who owns what, what changed, what did the runbooks say last time. That work is mechanical and should take seconds, not hours.

⚙️
Infrastructure sprawl is invisible

Most orgs are 25–40% over-provisioned. Optimization requires cross-referencing usage, deploy frequency, and service criticality simultaneously — a data problem no human can hold in their head.

📈
Productivity metrics mislead

Lines of code, commits merged, velocity points — all gameable, all disconnected from where real friction lives. Teams manage the number, not the problem underneath it.

WITHOUT NOCTRIX · INDUSTRY AVERAGES
Median PR review time
22h
↑ growing every quarter
MTTR (mean time to resolve)
4.2h
↑ P1 incidents
Cloud over-provisioning
34%
↑ wasted spend
Deploy-to-production cycle
6.8d
↑ across the org
Incident RCA automation
0%
manual every time
64%
reduction in MTTR
ACROSS ALL CUSTOMERS
41%
faster code review cycle
MEDIAN, 90-DAY WINDOW
$14.8k
avg monthly infra savings
PER 100-ENGINEER ORG
130%
net revenue retention
TRAILING 12 MONTHS

Four modules.
One knowledge graph.

Every module draws on the same underlying engineering context. The longer you run Noctrix, the smarter every module gets.

🔍
01 · CODELENS
AI Code Review
Context-rich review that knows your incident history, blast radius, and architectural patterns — not just the diff. Gets more accurate every week.
  • Risk scoring tied to real incident history, not heuristics
  • Blast radius mapping across dependent services
  • Reviewer suggestions ranked by actual code exposure
  • Architecture drift detection across the org
payment_service.py · PR #3847 HIGH RISK
42- user = get_user(order.user_id)
43+ user = get_user(order.user_id) or {}
⚠ NOCTRIX · CODELENS
This pattern caused incident #118 (Mar 14). Downstream process_payment() will silently fail on empty dict. Recommend explicit null guard.
41%
FASTER REVIEWS
3.1x
MORE ISSUES CAUGHT
🛡️
02 · SENTINELOPS
Incident Response
Your on-call co-pilot. Context assembly in 90 seconds, root cause hypotheses with confidence scores, and auto-drafted RCAs. Stop managing incidents. Start resolving them.
  • Context package delivered to Slack in <90s of alert
  • Root cause hypothesis with historical confidence score
  • Multi-signal anomaly detection before alerts fire
  • Auto-drafted RCA pushed to Confluence/Notion
SENTINELOPS · INCIDENT #142 · 14:33 UTC
Root cause hypothesis (91%)
Null-check regression in payment-service deploy #3847
order-api affected 3 services impacted P1 escalated
64%
MTTR REDUCTION
90s
CONTEXT ASSEMBLY
03 · INFRAIQ
Infra Optimization
Prescriptive infrastructure intelligence that understands the relationship between cloud spend and actual engineering value — not just utilization percentages.
  • Prioritized optimization backlog with $ impact estimates
  • Context-aware: won't cut spend on your payment processor
  • One-click Jira/Linear ticket creation per recommendation
  • Deploy-time infra gate for Terraform PRs
INFRAIQ · TOP SAVINGS$14,820/mo
8× r5.2xlarge → r5.large $6.2k
Idle EBS volumes × 34 $2.1k
On-Demand → Savings Plan $4.1k
34%
AVG WASTE FOUND
$14.8k
AVG MONTHLY SAVED
📊
04 · DEVVELOCITY
Developer Productivity
Engineering intelligence that's resistant to Goodhart's Law. Tracks where friction actually lives — not vanity metrics, not surveillance. A coaching tool for managers.
  • DORA metrics + cycle time breakdown by stage
  • Friction detection: review bottlenecks, CI flakiness, blocked PRs
  • Weekly "Developer Health" digest for EMs and VPs
  • Correlates with incident and review data (cross-module)
DEVVELOCITY · FLOW BREAKDOWN
Code → Review
4.2h
Review → Merge
18.4h ⚠
Merge → Deploy
1.8h
↳ Bottleneck: 3 reviewers own 68% of queue
2.1×
DEPLOY FREQUENCY
-58%
CHANGE FAILURE RATE

Connect once.
Intelligence compounds.

Noctrix deploys as read-only connectors — no migration, no agents, no workflow changes. The engineering knowledge graph builds in the background and gets smarter every day.

01
Connect your stack

Authorize read-only OAuth for GitHub, Jira, AWS, Datadog, PagerDuty, and Slack. Takes under 15 minutes. Zero workflow changes for engineers.

02
The knowledge graph builds

Noctrix ingests your deployment history, incident records, code change patterns, and team ownership data into the Engineering Knowledge Graph — correlating signals across silos for the first time.

03
Intelligence appears across modules

CodeLens comments appear on PRs. SentinelOps posts context packages to Slack at incident time. InfraIQ populates your optimization backlog. DevVelocity dashboard goes live with real cycle time data.

04
The system learns from outcomes

Every CodeLens flag that predicted an incident, every SentinelOps hypothesis that was right or wrong — all labeled data that fine-tunes your private model. After 6 months, Noctrix knows your codebase better than most of your team.

NOCTRIX RUNTIME · LIVE
🐙 PR opened — payment-service 14:31:02
↓ webhook received
🧠 EKG context assembly +0.8s
↓ graph traversal
⚠️ Risk scored: HIGH (incident #118) +1.3s
↓ reasoning layer
💬 Review comment posted to GitHub +2.1s
↓ cross-module write
🔮 SentinelOps pre-armed for this diff +2.4s
ENGINEERING KNOWLEDGE GRAPH · LIVE STATS
847k
graph nodes
3.2M
relationships
14mo
history depth
1.8s
avg context assembly

Scales with your engineering org.

Per active developer, monthly. No setup fees, no migration costs, no surprises. Cancel anytime on Starter and Growth.

Starter
For seed and Series A teams proving the concept.
$ 49 /dev/mo
Up to 25 developers · billed monthly
Get started
  • CodeLens AI code review
  • DevVelocity dashboard
  • 30-day EKG retention
  • 3 integrations included
  • GitHub + Slack bot
  • SentinelOps incident response
  • InfraIQ optimization
  • API access
  • Custom guardrails
Enterprise
Unlimited scale, self-hosted option, SLA guarantees.
Custom
Floor $20k/month · unlimited developers
Talk to us
  • Everything in Growth
  • Self-hosted EKG in your VPC
  • Extended EKG retention
  • SSO / SCIM provisioning
  • Custom model fine-tuning
  • Dedicated CSM + onboarding
  • SLA guarantees (99.9%)
  • API rate limit expansion
  • Regulated industry support

Built by someone who
lived the problem.

PG
Pratyush Gupta
FOUNDER & CEO · NOCTRIX
🎓 IIT Delhi · CS
⚙️ Ex-Staff Eng · Razorpay
🚀 YC S24 Alumni
📍 Bangalore, India

I've been the on-call engineer at 3am who spent 90 minutes reading Slack history to find the deploy that caused an incident.

Before Noctrix, I spent six years as a Staff Engineer and later Engineering Manager at high-growth fintech companies in India, building payment infrastructure that processed billions of transactions. I managed on-call rotations, ran post-mortems, and watched teams spend enormous energy on mechanical correlation work that should never have been manual.

The problem isn't that engineering teams lack good tools — it's that the tools don't talk to each other. Your code reviewer doesn't know about your incident history. Your incident responder doesn't know what changed in the last deploy. Your infrastructure optimization tool doesn't know which service is in the critical path of your payment flow.

Noctrix exists to close that gap. The engineering knowledge graph isn't a feature — it's the foundation everything else is built on. Every team that uses Noctrix for a year is building an institutional memory that survives engineer churn, team reorganizations, and codebase rewrites.

6yr
ENGINEERING LEADERSHIP
$2B+
INFRA MANAGED
340+
INCIDENTS REVIEWED
DORA METRICS IMPROVED

Your engineering team's
unfair advantage.

Start with CodeLens in 15 minutes. No migration, no agent installs, no workflow disruption. See your first actionable insight before you finish your morning standup.

14-day trial · All Growth features · Cancel anytime