Tools report. Nobody closes the loop.
Observability, CSPM, FinOps, and tickets stay siloed. Humans still stitch context at 3AM.
Infravox AI
We connect AWS, Azure, GCP, Kubernetes, and GitHub into one operating surface so teams investigate in War Room, watch posture and spend, collect compliance evidence, and remediate with guardrails.
Operators should not babysit five tools to answer one incident. Infravox connects cloud, code, cost, and risk so teams investigate, secure, and remediate from one operating surface.
Fortune scale cloud will be operated by coordinated agents, not dashboard armies. We are building that OS carefully: confirm gated first, autonomous where policy earns trust.
Enterprises bought a dashboard for every layer and still page humans when something breaks. Context stays siloed. Nothing owns the loop from signal to decision to action.
Observability, CSPM, FinOps, and tickets stay siloed. Humans still stitch context at 3AM.
Idle and oversized spend survives because recommendations lack guardrails and ownership.
CSPM lists misconfigs. Engineers need topology, deploy history, and who owns the risk.
Evidence is gathered for audits instead of continuously from the live estate.
No rip and replace. Collect, investigate, secure, comply, optimize, and remediate, with human confirmation where it matters.
Link AWS, Azure, or GCP accounts and install the Infravox GitHub App. Kubernetes and Slack are optional. Most pilots are live in under 30 minutes.
SRE, Security, FinOps, and Compliance agents pull inventory, posture, cost, and change signals into one graph.
War Room correlates deploys, findings, and topology so root cause comes with proof, not another disconnected alert.
Confirm gated actions, and higher autonomy where policy allows. Every step is audited. Capacity is capped so unit economics stay sane.
Not a vision deck. The work on develop this quarter: connect UX, packaging, remediation depth, and SCM expansion.
One Infravox GitHub App for every customer. Install on the org, pick repos. No PEM, webhook, or OAuth secrets from the buyer.
Starter, Growth, and Scale with hard caps on accounts, nodes, AI ops, and retention, plus add ons so we stay at 70 to 80% gross margin.
Live command surface, cloud cost insights, posture monitoring, and control packs tied to the infrastructure graph.
Agents propose fixes with blast radius context. Humans approve. Higher autonomy rolls out behind policy on Scale and above.
GitLab, Bitbucket, and Azure Repos on the same security path as GitHub, planned behind a clear GA gate.
Cluster level signal for SRE and security after a controlled PoC, not as a silent Growth include.
We started in 2026 to replace half the infrastructure stack with autonomous operations, shipping modules first, then earning the right to act without a human in the loop.
Infravox AI founded to build an AI operating system for cloud infrastructure, not another monitoring dashboard.
Core engine, early Kubernetes tooling, and first remediation loops shipped so design partners could touch real cloud.
Security, FinOps, Compliance path, topology graph, CLI, and War Room. Abhijit joined as Head of Engineering.
Vendor GitHub App install for customers, margin safe pricing with capacity caps, Trust Center path, and multi SCM plus deeper autonomy on the roadmap.
Five people who have lived the pager and decided to build the OS instead of living with the tool sprawl.

CEO and Co Founder
Technical founder focused on Kubernetes, cloud native systems, and AI driven infrastructure automation. Previously led platform engineering at scale.

Chief Operations and Product Officer
Owns product strategy and GTM. Bridges customer reality with what we ship: packaging, pilots, and enterprise motions that can scale.

Head of Engineering
Full stack engineering leader across backend, frontend, GenAI agents, and ML infrastructure, shipping the platform customers run in production.

Head of AI and Autonomous Systems
Leads AI agents, LLM infrastructure, and autonomous engineering intelligence: the systems that investigate and propose remediations.

Sr. Product Manager
Turns operator pain into roadmap. Works across engineering, GTM, and design partners so the product stays specific, not generic AI theater.
Five constraints we apply to product, pricing, and autonomy. Not a poster wall.
Remediations start confirm gated. Audit trails, blast radius, and reversibility come before auto mode.
Every insight should show reasoning and source data, not a black box score.
Public plans use capacity caps and add ons. We will not sell unlimited AI ops we cannot deliver sustainably.
Meet teams in AWS, Azure, GCP, GitHub, Slack, and Kubernetes. Expand from there.
GA vs Beta labeled. Compliance means control packs, not fake certifications. Roadmap items are not sold as live.
Selected for the Google for Startups program with Google Cloud infrastructure, AI credits, mentorship, and a global founder network.
Design partner, enterprise buyer, or investor. Start a 7 day pilot or talk to the team.