Root cause in minutes,
not hours.

QRCA is an AI-powered root cause analysis companion for SRE teams. It correlates logs, traces, and alerts across your entire stack — and pinpoints exactly what broke and why.

Invited investors only · NDA required · Full pitch + AI Q&A inside

68%

of enterprise incidents are repeats.1

Similar symptoms. Similar root cause. Different engineer. Every time.

SRE teams are firefighting, not engineering

Mean time to resolution hasn't meaningfully improved despite billions spent on monitoring and alerting tools.2

Knowledge walks out the door

When a senior SRE leaves, their incident intuition leaves with them. Runbooks don't capture judgment.

The cost is human, not just financial

3AM pages, burnout, and cognitive overload contribute to high SRE attrition.3 Every departure resets institutional knowledge to zero.

INVESTMENT THESIS

Three forces are converging
for the first time.

01

LLMs can finally reason about infrastructure

For the first time, AI can read logs, correlate traces across services, and parse unstructured runbooks to suggest root causes and remediation paths. This capability didn't exist 18 months ago.

02

$2.1B market with zero category leaders

AIOps is a $2.1B market growing 22% annually.4 But existing tools — PagerDuty, Datadog, Resolve AI — are monitoring platforms that bolted on AI after the fact. No one has built an AI-native root cause analysis product from first principles.

03

Kubernetes adoption creates the wedge

96% of organizations are using or evaluating Kubernetes.5 Cloud-native infrastructure generates orders of magnitude more signals than traditional systems — making manual root cause analysis nearly impossible and AI-assisted analysis essential.

YOUR AI INVESTMENT ANALYST

Don't just read the pitch deck.
Interrogate it.

Every answer backed by cited sources from our financial models, market research, and technical assessments. Available to approved investors after NDA.

invest.qrca.ai/investor/dashboard/q
Demo

Q

AI Investment Analyst · Grounded in facts

What's the total addressable market?

The global AIOps and IT automation market is valued at $2.1B in 2024, growing at 22% CAGR. QRCA targets the SRE-specific segment worth $680M by 2027.

1Market Analysis2Gartner 2024

How does QRCA compare to Resolve AI?

Three vectors: contextual reasoning across the full incident lifecycle, proactive pattern learning from historical incidents, and zero-config deployment versus Resolve's 6-month onboarding.

3Competitive Analysis4Technical Assessment

Ask Q anything about QRCA...

TRACTION

Early conviction.

3

Letters of Intent

$2.1B

Total Addressable Market4

93%+

Projected Gross Margins6

See the full pitch.
Ask Q anything.

Pitch deck, financial models, competitive analysis, and an AI analyst that answers every question with cited proof.

Invited investors only · Takes under 2 minutes

  1. PagerDuty State of Digital Operations Report, 2023. Repeat incident rates vary by organization maturity; 68% reflects enterprises with 500+ engineers.
  2. Gartner, "Market Guide for AIOps Platforms," 2024. Despite $2.1B+ in AIOps spending, average MTTR improvements remain marginal for most enterprises.
  3. Puppet State of DevOps Report, 2023; Burnout Index by Haystack Analytics, 2024. SRE/DevOps roles show elevated attrition relative to other engineering functions.
  4. Gartner, "Forecast: AIOps Market Size, Worldwide," 2024. Market valued at $2.1B in 2024 with 22% projected CAGR through 2028.
  5. Cloud Native Computing Foundation (CNCF) Annual Survey, 2023. 96% of surveyed organizations report using or evaluating Kubernetes.
  6. Projected based on SaaS industry benchmarks for pure-software products with no hardware or professional services component. Not a guarantee of future performance.