Current Role • Strategic Advisor
REAP
From signals to answers. REAP is the agentic AI platform for network operations: the reasoning and assurance layer above the tools a network team already runs.
Observe · Reason · Act · Prove
I serve as Strategic Advisor at REAP, advising the founding team on go-to-market: who buys and why, the 45-day proof of value, partnerships, and the story REAP tells, from its website to the ONUG Fall 2026 stage. It’s the newest expression of how I operate: at the seam where infrastructure buyers, enterprise revenue, and AI agents meet. It’s context for the depth I bring as a revenue leader, not a separate practice I’m selling.
Meet REAP at ONUG Fall 2026 · New York · October 28–29
Find the team at Booth 33. Raja Tadimeti, REAP’s co-founder and CEO, presents “The Change Succeeded. Did the Network? Building Confidence in Change Outcomes” on Thursday, October 29, at 3:15 pm ET. Book a meeting at ONUG →
The Problem
Incident Reasoning
Restored ≠ Fixed
Accelerate root-cause analysis.
Change Assurance
Completed ≠ Verified
Validate change outcomes.
Resilience Assurance · posture & compliance
Configured ≠ Compliant
Uncover operational risks.
Most network incidents are closed when service comes back, not when the cause is known. Most changes are marked successful because nobody complained. Most devices that match their intended configuration have never been checked against the policy they are supposed to enforce. All three leave the condition in the network, and it comes back, usually to a different first responder who starts from zero.
The cost is not abstract. A high-impact outage costs $1.85 million an hour on average (New Relic, 2026 Observability Forecast), and half of major network outages trace to a configuration or change-management failure (Uptime Institute, Annual Outage Analysis 2025). The data to explain an outage is usually already in the environment. It is spread across a half-dozen tools and several teams, and the bridge between them is the most experienced engineer on the team.
What REAP Does
REAP closes those gaps with evidence. It sits above the systems a team already runs (monitoring, ITSM, privileged access, and the devices themselves) and reasons across them the way a senior engineer does: a root cause traced to the exact command output, log line, or configuration diff; a change checked before it runs and after it lands, with the evidence recorded in the ticket; and posture findings an auditor can read. When something is beyond an agent’s certainty, REAP says so and proposes the next diagnostic step rather than guessing.
How REAP Works
Observe · Reason · Act · Prove
Status labels as published on REAP’s product status page, reviewed October 7, 2026.
Who It Is For
Network teams that run production on infrastructure their company does not sell: enterprises with many sites or business units, change control, and audit; mid-sized companies with three to ten network engineers, many sites, and no 24×7 NOC; and MSPs running many customer estates from one console. REAP is built for the network engineer, the architect, the NOC lead, and the infrastructure leader who owns the risk. It reads from Cisco, Arista, Juniper, HPE Aruba, and Palo Alto Networks estates and from AWS and Microsoft Azure, and it works inside ServiceNow, Jira, Slack, and Microsoft Teams, with device credentials brokered through CyberArk. It runs as SaaS today, and in a customer’s cloud or on-premises by arrangement.
The Team
REAP’s co-founders built networking products enterprises run on. Raja Rao Tadimeti (CEO) and Madhava Cheethirala (VP of Engineering) co-founded WiteSand, acquired by Juniper Networks, and were founding engineers at Pensando and Insieme. Natarajan “Nata” Manthiramoorthy (Customer Success and Solutions Engineering) was an early engineer at WiteSand, Pensando, Innovium, Insieme, Aruba, and Andiamo. The founding team is named on 32 granted US patents from prior work. REAP is headquartered in San Jose, California, and venture-backed by two venture firms and angels.
The Numbers I Hold It To
REAP’s design targets are detection of a high-impact incident in under 4 minutes, an evidence-backed root cause in under 5 minutes, and 30% lower network-operations cost. They are targets from REAP’s reference architecture, measured against each customer’s own baseline inside a 45-day proof of value, and they are never presented as results until a pilot measures them. Capabilities carry the same discipline: available, pilot deliverable, or in development, labeled wherever they appear. It’s a distinction I hold to on every page I write, because a claim a buyer can verify is worth ten a buyer has to take on faith.
Why It Matters to My Work
REAP is the argument of my Field Notes on the Agentic Enterprise applied to the network: an agent that reasons is allowed to act only when its authority is written down, when a human approves consequential changes, and when every action leaves evidence an auditor can read. REAP is read-only by default and approval-gated when it acts. Selling that to network operations leaders, buyers who have heard big promises before, is the same discipline I bring to every revenue engine: define the outcome, instrument it, and sell what you can prove.
From signals to answers.
Running a network operations team that is drowning in signals, or building the company that helps them? Bring REAP your last P1, or book 30 minutes with me to compare notes.
REAP · Network Assurance without Compromise™