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The AI partner
your engineers
actually need

CloudLenz is the agentic operations layer embedded in every engineering workflow. It resolves incidents, triages tickets and inspects infrastructure in real time — not after the fact.

0% MTTR reduction
0× faster triage
0% on-call hours saved
0 tickets auto-resolved / mo
cloudlenz agent — incident #1042 — production ● LIVE

12:03:21INCAPI p99 latency > 4 000 ms — checkout degraded — severity P1

12:03:22agentFetching metrics from prod cluster…

✓kubectl top pods -n production → OrderService-7d9f: 94 % CPU (3/3 pods)

✓CloudWatch spike at 12:01:44 — correlates with deploy #847 (4 min ago)

12:03:25agentDiffing deploy #847 — OrderService changes…

⚠N+1 regression in GetByUser() — missing .Include(o => o.Items)

⚠Introduced by @dev in commit a3f91c2 — "refactor order fetch"

12:03:27ROOT CAUSEORM regression in #847 → 312 extra DB queries/req → pool exhaustion

12:03:27agentOptions: ① rollback #847 ② hotfix query ③ scale pool

12:03:28TICKETINC-1042 created · P1 · @platform-team · linked to a3f91c2

12:03:28AWAITINGYour confirmation to execute▋

Trusted by engineering teams at

Orbital LabsCascade.ioVertex Health Ironworks AIBluePeakStrata Cloud Forge SystemsMeridian TechApex DevOps Luminary SRENova PlatformsZenith Ops Orbital LabsCascade.ioVertex Health Ironworks AIBluePeakStrata Cloud Forge SystemsMeridian TechApex DevOps Luminary SRENova PlatformsZenith Ops
Platform

One agentic layer.
Every operational surface.

Not a chatbot wrapper. A 20-step tool-use loop that runs bash, calls APIs, reads repos and executes fixes — all within a streaming chat thread linked to your tickets and incidents.

Incident Intelligence

Agents detect, correlate and diagnose production incidents before a human opens Slack. Root cause, blast radius and remediation in under 30 seconds.

kubectlCloudWatchRunbooksPost-mortem
72%MTTR reduction
<30sroot cause

Ticket Intelligence

Triage, prioritise and route tickets without a human. Engineers open tickets that already have the context, related code and suggested owner.

Auto-classifySuggested ownerRelated code

MCP Integration

Native Model Context Protocol. Connect any internal tool or API as an MCP server — agents discover and use your tooling automatically.

HTTP/SSEAuto-discoveryZero code

Agentic Chat Engine

Streaming conversations where agents run bash, call APIs, inspect repos and execute 20-step tool loops — threads permanently linked to your tickets and incidents.

20-step loopSignalR streamingFull audit logMulti-LLM
AnthropicClaude
OpenAIGPT-4o
AzureOpenAI

Multi-Cloud & Secrets

AWS STS, Azure, GCP and Kubernetes token providers. Scoped secrets resolved at execution time. Zero hard-coded credentials ever.

AWS EKSAKSGKEBYOK

Usage Governance

Full token accounting and cost attribution per model, per agent, per user. Switch LLM providers without touching a line of code.

Per-model costWorkspace dashboard
AI Engine

Every frontier model.
One routing layer.

Switch models per-workspace, per-agent, per-task. No API rewiring — CloudLenz handles routing, token accounting and automatic failover.

Anthropic Default
Claude
Sonnet 4Opus 4Haiku 4.5
Extended thinking 20-step tool loops 200K context
OpenAI
GPT-4o
GPT-4oGPT-4-turboo1
Reasoning Function calling Structured output
Azure OpenAI
Enterprise
GPT-4oGPT-4GPT-4-32k
Private endpoints Compliance-ready Regional deploy
Google DeepMind
Gemini
1.5 Pro1.5 Flash2.0 Flash
Multimodal 1M context window Ultra-fast
Meta · Mistral · xAI
Open Models
LLaMA 3Mistral LargeGrok
Self-hosted Cost-efficient Open weights
AI ROUTER
Automatic failover, cost-based routing and latency optimisation — zero config. Your agents always reach the best available model.
Incident → Route → Best model
How It Works

From alert to resolution.
In seconds, not hours.

01

Detect or declare

An incident fires, a ticket lands, a user sends a message. CloudLenz agents activate instantly with full workspace context already loaded — repos, past incidents, runbooks, infrastructure state.

02

Investigate autonomously

The agentic tool-use loop runs — bash commands, API calls, log inspection, cloud resource queries — up to 20 iterations without interrupting your team or waiting for a human.

03

Surface and act

Root cause, impact and remediation steps streamed live. Agents can execute the fix with your approval or hand off a fully-documented, context-rich ticket.

04

Learn and compound

Every interaction is stored, attributed and searchable. Your platform learns your stack's failure patterns. Each incident resolved makes the next one faster.

Use Cases

Built for every team
keeping the lights on

SRE / On-Call

Stop waking up blind at 2am

By the time you reach for your phone, CloudLenz has pulled the logs, correlated the metrics and identified the probable cause. Show up with answers, not questions.

  • Auto-diagnoses alerts before paging a human
  • Correlates deploys, commits and metric spikes
  • Proposes rollbacks and hotfixes — executes on approval
  • Drafts post-mortems automatically
72%MTTR reduction
61%fewer human pages
P1 INCIDENT02:03 AM
DB connection pool exhausted — checkout failing
RDS connections: 498/500 — ceiling hit
Runaway query in OrderService.GetByUser()
Introduced in PR #2341 — "refactor order fetch"
Proposal ready — awaiting your approval
Platform Engineering

Stop being the human glue layer

Platform teams spend half their time answering the same questions and provisioning environments by hand. CloudLenz is the self-service layer your developers actually use.

  • Developer self-service for environments and secrets
  • Automated repo sync and webhook management
  • Infrastructure drift detection via agent inspection
  • Zero platform tickets for routine operations
35%tickets auto-resolved
0tickets for env setup
SELF-SERVICE
Dev requests staging env with DB snapshot
Provisioned namespace staging-alpha-pr-441
Restored DB snapshot from 2026-05-02 14:00 UTC
Injected 14 secrets from staging scope
Environment ready — no platform ticket opened
CTO / VP Engineering

Compound your team's leverage

CloudLenz gives junior engineers senior-level context and frees senior engineers from firefighting. Full cost attribution, velocity dashboards and compliance-ready audit logs.

  • Per-model token usage and LLM cost attribution
  • MTTR and resolution velocity dashboards
  • Multi-tenant workspace isolation and RBAC
  • SOC 2 roadmap, BYOK, VPC deployment options
−85%MTTR in 30 days
$184avg monthly LLM cost
APRIL METRICS
Workspace: acme-prod — Monthly summary
MTTR: 4h 12m → 38m (−85%)
Tickets auto-resolved: 312 / 890 (35%)
Human on-call pages: down 61%
LLM cost: $184 (↓12% vs March)
Testimonials

Real engineers.
Real outcomes.

"
We went from a 4-hour average MTTR to under 40 minutes in the first month. The agent has context I'd normally spend 30 minutes gathering. It feels like having a senior SRE on every incident.
JL
Jordan LeeVP Engineering · Orbital Labs
★★★★★
"
The MCP integration was the unlock for us. We connected our entire internal tooling in a single day. Agents now have access to every system — no custom integration code. Ever.
SP
Sasha ParkHead of Platform Eng · Cascade.io
★★★★★
"
Junior engineers now handle P2 incidents independently. The agent surfaces exactly what a senior would know. It's fundamentally changed how we think about team leverage and onboarding.
MR
Marcus ReidCTO · Vertex Health
★★★★★
Pricing

Transparent pricing.
No LLM markup surprises.

Bring your own API keys or use CloudLenz-managed capacity. You always see exactly what you're paying for.

Small Business
$5,000/mo

AI-powered operations for growing teams ready to move faster.

  • Up to 25 engineers
  • Unlimited chat threads
  • Incident + ticket management
  • 3 MCP server connections
  • Bring your own LLM keys
  • Email support
Get a Demo
Most popular
Mid Market
$8,000/mo

Full platform for scaling teams that need speed and governance.

  • Up to 150 engineers
  • Everything in Small Business
  • Unlimited MCP servers
  • Usage governance dashboard
  • Repo sync + webhooks
  • SSO (Google, Microsoft)
  • Priority support — 4h SLA
Get a Demo
Large Business
$15,000/mo

Enterprise-grade AI operations at scale with advanced security.

  • Up to 500 engineers
  • Everything in Mid Market
  • Multi-region deployment
  • Advanced audit logging
  • SAML SSO + SCIM provisioning
  • Dedicated success manager
  • 8h SLA + phone support
Get a Demo
Enterprise
Custom

Bespoke pricing and deployment for complex organisations.

  • Unlimited engineers
  • Everything in Large Business
  • VPC / on-prem deployment
  • SOC 2 Type II + HIPAA
  • Custom SLA + dedicated CSM
  • Custom MCP development
  • BYOK + full audit trail
Talk to sales
Get Started

See what your team looks like
when AI is on every incident

30-minute demo. No slides. Just your stack and our agents.

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