Infravox AI
The AI Operating System for Cloud Infrastructure — 30+ agents, eight enterprise modules, and 100+ integrations that autonomously operate AWS, Azure, GCP, and Kubernetes.
One AI OS replaces half the infrastructure stack.
We sell outcome-priced SaaS that consolidates monitoring, security, compliance, FinOps, IaC, and automation into one autonomous loop — with enterprise guardrails.
Cloud scaled. Tool stacks fragmented.
Enterprises bought a dashboard for every layer. They still page humans at 3AM, triage security findings, scramble for audit evidence, and discover waste on the invoice.
Observability, CSPM, FinOps, IaC, and tickets each own a silo — none replace the others, and context never consolidates.
Buyer: Platform / CTOMTTR measured in hours of human coordination — not minutes of autonomous remediation with evidence.
Buyer: SRE / PlatformFindings without safe remediation paths. Debt sits until a breach forces priority.
Buyer: CISO / SecOpsSOC2, HIPAA, PCI evidence gathered quarterly instead of continuously from the live estate.
Buyer: GRC / CISOIdle and oversized spend while dashboards stay green — ROI invisible until the invoice.
Buyer: FinOps / CFOIaC and PR reviews miss deploy risk. Every release is a potential P1 without autonomous validation.
Buyer: Platform / DevExThe AI OS category window just opened.
Five years ago, reliable multi-step AI actions against live infrastructure were not practical. Today, reasoning models, mature cloud APIs, MCP tool protocols, and infrastructure graphs finally make collect → investigate → secure → comply → optimize → remediate → learn a product — not a slide.
Imagine it's 2:13 AM. A production database fails.
Without Infravox
With Infravox
A working AI Operating System — not a prototype narrative.
Interactive gallery of production surfaces partners can diligence in a live demo.
War Room · checkout-api OOM
The moat is the OS loop — agents, graph, memory, and gated action.
30+ AI Agents
Specialist agents across SRE, Security, Compliance, FinOps, Kubernetes, Terraform, Helm, IAM, Secrets, GitOps, and War Room.
- Domain routing across 8 modules
- Human-in-the-loop gates for destructive actions
- Shared policy + graph context
Bottoms-up first. Category size second.
We sell into platform / SRE / SecOps / FinOps budgets where ACV lands in the Growth–Scale band and expands with accounts and autonomy coverage.
Long-term category adjacency (cloud + security + AI ops) is large; diligence should underwrite SOM, ACV, and win rate — not $1T slides.
Outcome-priced. High-margin SaaS.
Every customer starts on a 7-day paid pilot with a clear ROI gate, then expands Starter → Growth → Scale → Enterprise.
- AI OS core · RCA
- FinOps + security posture
- 7-day paid pilot
- War Room · 8 modules path
- 30+ agents · gated remediation
- Unlimited cloud accounts
- Multi-cloud · multi-region
- SAML / SSO · API · Terraform
- Dedicated success engineer
- Private AI · air-gapped
- SOC2 · ISO · HIPAA · PCI path
- Dedicated solution architect
| Plan | Price | Est. COGS | Gross profit | Gross margin |
|---|---|---|---|---|
| Starter | $499 | ~$70 | ~$429 | ~86% |
| Growth | $1,499 | ~$200 | ~$1,299 | ~87% |
| Scale | $4,999 | ~$700 | ~$4,299 | ~86% |
Illustrative MRR plan
Illustrative · partners → paid → enterprise. Not a promise of future performance.
Evidence timeline — hard facts labeled clearly.
Programs, partners, and cloud surface area.
Customer logos available under NDA. Public trust signals below.
Capability matrix — not competitor attacks.
Observability sees. CSPM finds. FinOps recommends. Ticketing tracks. Infravox is the AI OS that closes the loop across collect → investigate → secure → comply → optimize → remediate.
| Capability | Infravox AI OS | Observability | CSPM / XDR | FinOps tools | Ticketing |
|---|---|---|---|---|---|
| Detect anomalies / posture | ● Yes | ● Yes | ● Yes | ◐ Partial | ○ No |
| Decide root cause with topology | ● Yes | ◐ Partial | ◐ Partial | ○ No | ○ No |
| Autonomous / gated remediation | ● Yes | ○ No | ◐ Partial | ◐ Partial | ○ No |
| Continuous compliance evidence | ● Yes | ○ No | ◐ Partial | ○ No | ○ No |
| FinOps actions with guardrails | ● Yes | ○ No | ○ No | ◐ Partial | ○ No |
| IaC + deploy risk intelligence | ● Yes | ○ No | ◐ Partial | ○ No | ○ No |
| Unified Sec + Cost + SRE + Compliance loop | ● Yes | ○ No | ○ No | ○ No | ○ No |
Compounding memory + governed autonomy.
Operational memory
Every remediation becomes reusable context — switching cost rises with tenure.
Infra graph + blast radius
Safer actions than alert tools that lack dependency awareness.
Enterprise controls
SSO/SAML path, RBAC, audit log, private AI / air-gap for regulated buyers.
Security readiness
SOC 2 preparation in roadmap; continuous evidence from real config.
AI safety
Propose-first defaults, approval gates, least-privilege tool calls.
GTM wedge
Paid pilot ROI in week one via FinOps + security — expand into full 8-module AI OS.
Execution. Not promises.
- First paid customers
- Enterprise pilot conversion
- SOC 2 preparation
- 100+ integrations depth
- 20 customers target
- U.S. founder relocation path
- Seed round prep
- 30+ agents live depth
- 100 customers trajectory
- $1M ARR trajectory
- Private AI GA path
- Marketplace + partner channel
Operators who lived the 3AM problem.
Founder-market fit from the pager, not the pitch.
Built systems that paged him at 3AM — then decided no engineer should live that life again.
LinkedIn →
Builds AI that acts — agents, reasoning loops, and tool use that replace toil with intelligence.
LinkedIn →
Turns fragile demos into systems you can trust at 2AM. If it isn’t production-ready, it isn’t finished.
LinkedIn →
Sits with operators until the pain is unmistakable — then turns that pain into a product companies pay for.
LinkedIn →Pre-Seed · $750,000 · ~10%
SAFE / Equity. Designed for 18 months of runway at ~$25–35K monthly burn.
How $750K is spent
Resources partners can share internally.
Answers partners ask after a first meeting.
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 AWS, Azure, GCP, and Kubernetes with enterprise controls.
What are you raising?
Pre-Seed: $750,000 for ~10% on SAFE / equity terms. Use of funds: engineering (45%), AI infrastructure (25%), GTM (15%), security & compliance (10%), operations (5%).
Who is the buyer?
Platform, SRE, SecOps, Compliance, and FinOps leaders consolidating fragmented infra tools. Expansion path: Starter → Growth → Scale → Enterprise private deploy.
How do you handle AI safety / destructive actions?
Default is propose-first remediation with human approval for destructive changes, tenant isolation, audit logging, and enterprise paths for private AI / air-gapped deploy.
What traction is hard vs soft?
Hard: live AI OS platform, 100+ integrations path, 30+ agents architecture, accelerator selection, enterprise onboarding in progress. Soft / forward-looking: pipeline counts and MRR forecast (labeled illustrative).
How do I diligence next?
Download the investor deck, book a founder meeting, and request data-room access. Live product walkthrough available same week.