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Pre-Seed · Investor Overview Verified

Infravox AI — the AI Operating System for cloud infrastructure.

Infrastructure shouldn't just tell you something is wrong. It should understand what happened, decide what to do, and safely fix it — an autonomous operating layer, not a monitoring chatbot.

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$750K
Pre-Seed · ~10% Verified
8
Modules · one platform Verified
30+
Agents in architecture Verified
SF + Gurugram
Dual-hub engineering Verified

Structure: Prefer SAFE (terms in data room). Design partners active — not positioned as paid customers today. 100+ integrations = Roadmap

The Moment

It's 2:13 AM. A production database fails.

Alert fires. The on-call jumps between tools. Logs, metrics, tickets, Slack — pieces without a shared picture. Someone decides. Someone fixes. Someone verifies. By morning it looks resolved — until it happens again.

The problem isn't that companies don't have enough infrastructure tools. The problem is that their tools can tell them something is wrong, but humans still have to think, investigate, decide, and fix it.
Legacy stack

On-call paged, groggy triage across five tools

Forty-plus minutes correlating logs and tickets

Blast radius unknown while customers feel it

Human-operated recovery

With Infravox

Agents detect and correlate across the graph

Root cause framed with evidence before humans wake

Remediation proposed or gated — never silent destruction

Machine-assisted recovery

The Problem

Infrastructure got too complex for tool sprawl.

Cloud scaled. Tool stacks fragmented. Buyers now pay for observation in one place and operation in another — then glue it together with humans.

Multi-cloudKubernetesIAM sprawlAlert fatigueCompliance evidenceFinOps wasteChange risk
Monitoring
$499/mo
Security
$1,499/mo
Compliance
$4,999/mo
Infravox AI OS
Custom
Illustrative · based on public pricing Illustrative
$81,984 stacked tools/yr
−86% with Infravox
Category Gap

Existing tools observe. Humans still operate.

Observe

  • Metrics, logs, traces, posture scans
  • Dashboards and ticket queues
  • Partial RCA without shared topology
  • Recommendations that stop at a PDF

Operate

  • Decide root cause with blast radius
  • Act with policy-gated remediation
  • Verify outcomes and evidence
  • Learn so the next incident compounds
Solution

Infravox closes the loop.

Detect → Understand → Decide → Act → Verify → Learn — one OS loop across eight modules and 30+ specialized agents. Verified

01

Detect

Correlate signals across clouds, clusters, and apps.

02

Understand

Map topology and blast radius on the infra graph.

03

Decide

Rank root causes with evidence, not alert noise.

04

Act

Propose or gate remediations with policy controls.

05

Verify

Confirm outcomes and leave an audit trail.

06

Learn

Compound memory so the next incident is faster.

Product Demo

A working AI OS surface — not a slide deck prototype.

Illustrative product visuals for diligence. Live walkthrough available on a founder call. Illustrative / Demo

infravox.ai · War RoomDemo
SEV-1
Active incident
Detected
Correlated signals
AI RCA
Evidence trail
War Room · checkout-api
Signal: PodRestartStorm
Detected
Hypothesis: memory limit too low
AI RCA
Remediation: raise limit (gated)
Propose
Traction

Verified execution — not invented ARR.

8
Modules in production architecture Verified
Design
Partners (not paid customers as current fact) Verified
6 + 1
Enterprise evaluations · 1 onboarding (NDA) Verified
30+
Agents · 100+ integrations path Roadmap
Past
AI OS MVP · eight-module surface
Core agents, War Room, remediation path, and operational memory shipped in production architecture.
Past
Google for Startups · LvlUp Labs
Selected into programs; First Check / LvlUp investment commitment. Verified
Now
Pipeline in motion under NDA
Six enterprise evaluations and one onboarding. Names and detail in data room.
90 days
First paid customers + SOC 2 prep
Convert design partners / evaluations. SOC 2 Type II = Target
Customer Proof

Patterns under NDA — not invented logos or dollar outcomes.

Multi-cloud ops teams

Evaluating unified incident + security + FinOps loop instead of three vendor stacks.

Platform / SRE buyers

Want gated autonomy with audit trails — not unsupervised scripts.

Onboarding in progress

One enterprise onboarding underway; specifics available under NDA in the data room.

We do not publish invented accuracy rates, waste savings, or customer logos on this page. Request the data room for named diligence materials.

Market Model / Assumptions

Bottom-up pricing ladder first. Category size second.

Published monthly pricing annualizes cleanly. Large TAM figures without assumptions are not treated as fact here.

PlanMonthlyACV (×12)Note
Starter$499$5,988Verified pricing
Growth$1,499$17,988Common land expansion
Scale$4,999$59,988Heavier ops / multi-cloud
$8B
Obtainable TAM Forecast / assumptions
$1.5–5K
Monthly land deal size (not ACV — annualize ×12)
90–180d
Time to expand
ICP
Series B–D, multi-cloud
Land wedge: platform / SRE teams. Expand into security and FinOps budgets on the same OS loop.
Category size figures are model assumptions — not verified market facts. Exact bottom-up tables live in the data room.
Go-to-Market

Land → Prove → Expand

01 Land

Wedge with platform / SRE on War Room + graph. Design partners and evaluations first.

02 Prove

Convert to first paid customers within ~90 days. Target Measurable incident/security/FinOps outcomes under NDA.

03 Expand

Attach security, compliance, and FinOps modules on the same OS loop and tenant graph.

Competition

Structural differentiation — not competitor attacks.

Illustrative capability matrix from public product categories.

CapabilityInfravox AI OSObservabilityCSPM / XDRFinOpsTicketing
Detect anomalies / postureYesYesYesPartialNo
Decide RCA with topologyYesPartialPartialNoNo
Gated remediationYesNoPartialPartialNo
Compliance evidence loopYesNoPartialNoNo
Unified Sec + Cost + SRE loopYesNoNoNoNo
Moat

Graph + Memory + Execution + Safety + Learning

Graph

Shared infrastructure topology every agent reads and writes.

Memory

Incidents compound into better detection and RCA next time.

Execution

Actions — not dashboards — with tool use across clouds.

Safety

Propose-first defaults, tenant isolation, audit trails.

Learning

Feedback closes the OS loop so autonomy earns trust.

Team

Operators building for operators.

Founder-market fit — Shivam Singh. Built and lived the 3AM pager world across cloud ops — then started Infravox so autonomous systems carry the loop humans should not have to glue together at 2:13 AM.
Shivam Singh

Shivam Singh

Founder & CEO

Cloud opsGTMFundraising

Built systems that paged him at 3AM — then decided no engineer should live that life again.

LinkedIn →
Mohammed Arsalan

Mohammed Arsalan

Head of AI & Autonomous Systems

AgentsLLMsAutonomy

Builds AI that acts — agents, reasoning loops, and tool use that replace toil with intelligence.

LinkedIn →
Abhijit Singh

Abhijit Singh

Head of Engineering

ReliabilityPlatformSecurity

Turns fragile demos into systems you can trust at 2AM. If it isn't production-ready, it isn't finished.

LinkedIn →
Sameer

Sameer

Chief Operations & Product

ProductOperatorsDelivery

Sits with operators until the pain is unmistakable — then turns that pain into a product companies pay for.

LinkedIn →
Muskan Khandelwal

Muskan Khandelwal

Sr. Product Manager

ProductRoadmapGTM

Turns operator pain into a product roadmap, aligning engineering, go-to-market, and customer needs.

LinkedIn →
Business Model & Financials Forecast / Target

Outcome-priced, high-margin SaaS.

Unit economics and MRR path are illustrative diligence inputs — not audited actuals or promises of future performance.

CompanyInfravox AI, Inc.
ModelUsage + seat hybrid
Gross margin85%+ Target
StructureUS Corp, Delaware
8
Modules live Verified
1
Unified graph
30+
Agents
100+
Enterprise connects Roadmap

Pricing · unit economics Forecast / Target

Monthly list prices with annualized ACV. Est. COGS and margins are illustrative target assumptions — not audited actuals.

PlanPrice / moACV (×12)Est. COGSGross ProfitGross Margin
Starter$499$5,988~$70~$429~86%
Growth$1,499$17,988~$200~$1,299~87%
Scale$4,999$59,988~$700~$4,299~86%

Illustrative MRR plan Forecast

$8KM1
$25KM4
$80KM8
$180KM12
$350KM24

Illustrative · partners → paid → enterprise. Not a promise of future performance.

~$25–35K
Monthly burn
18 mo
Target runway Target
$25K
MRR · Month 12
~$2.1M
ARR · Month 24
The Raise Verified

Pre-Seed · $750,000 ~10%

Prefer SAFE (terms in data room). ~18 months of runway toward seed: first paid customers, SOC 2 prep, and repeatable GTM. Milestones = Target

$750K

pre-seed round

Engineering 45%
AI Infrastructure 25%
Sales / GTM 15%
Security & Compliance 10%
Operations 5%
Appendix

FAQ & diligence links

What is Infravox AI in one sentence?
The AI Operating System for Cloud Infrastructure — 30+ agents across eight modules that monitor, investigate, secure, comply, optimize, and remediate with enterprise controls.
What are you raising?
Pre-Seed $750,000 for ~10%. Prefer SAFE (terms in data room). Use of funds: Engineering 45%, AI infra 25%, GTM 15%, Security & Compliance 10%, Operations 5%.
What is hard vs soft traction?
Hard / verified: live AI OS architecture, 8 modules, 30+ agents, design partners, 6 evaluations + 1 onboarding (NDA), Google for Startups + LvlUp / First Check commitment, SF + Gurugram. Soft / forward-looking: MRR forecast, first paid customers, SOC 2 Type II (targets), 100+ integrations (roadmap).
How do I diligence next?
Request the data room / download the deck, book a founder meeting, and schedule a live product walkthrough.
Data Room

We don't need more tools that tell engineers what's broken — we need infrastructure that can operate itself.

Infravox is the AI OS that closes the loop — understand, decide, and safely act — so humans stop being the glue between alerts and outcomes.

Investor deck

Drive folder · presentation

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Data room

Financials, terms, diligence pack

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Founder meeting

calendly.com/shivamsingh-infravox

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shivamsingh@infravox.ai