Satwick Saxena

AI-pilled founder-seller.

San Francisco Bay Area
Satwick Saxena portrait

I've been all-in on AI since before it was a category — selling conversational AI to skeptical buyers in 2016, agentic AI to business and technical buyers today. Ten years quota-carrying, two companies founded from logo zero, $25M closed, 72% of AI POCs won. I sell the frontier tech to the people who have to defend the purchase.

17
enterprise & mid-market logos in 15 months at Revenoid
72%
win rate on AI proof-of-concepts at Revenoid — in a market where most die before production
$25M
in total closed-won AI-native product sales over the last 6 years
Now

What I'm doing this month

Right now I'm co-founder and head of sales at Revenoid — AI agent orchestration for outbound sales teams. Every deal we've closed has been a customer's first Sales AI platform purchase, which means I'm selling to the VP/CRO economic buyer, the RevOps team, engineering & InfoSec in a hyper-competitive environment. The next chapter: I'm looking for a challenging sales role at an AI lab or AI-native company where the buyer is increasingly technical and the product is evolving rapidly.

Results

Where I've moved the needle

Revenoid

17 logos · 72% POC win rate · 15 months

Founder-led, full-cycle at Revenoid. Docebo (Nasdaq: DCBO), PDI Technologies, [24]7.ai, Veritext, Pinnacle Group, ASAPP, MappedIn, Payra, and Lucidworks. Every deal Revenoid's first AI tool purchase — I wrote the security packet, ran the InfoSec review, and led the integration architecture conversation alongside engineering.

EvaBot

Scaled EvaBot from 0 → $7.5M ARR

Built the PLG growth engine first — Facebook and Instagram ads and referrals — scaling from zero to $2.8M ARR, then pivoted to a multi-stakeholder enterprise motion. Grew accounts like Cigna (Fortune 50), Elevance Health (formerly Anthem, Fortune 50), Meta, Microsoft, Mercer, Guild Mortgage (a top 5 US retail lender), and SVB (16th largest US bank) into $500K–$1M+ relationships. 50+ net-new logos; raised $14M from Bloomberg Beta, Comcast Ventures, Alumni Ventures, and Precursor Ventures.

Disney Star

$1M → $10M digital budget in 12 months

AVP Digital Media at Disney Star (India's largest TV network). On the launch team for Hotstar — 1M installs in 6 days, 10M in 40 days — and StarSports.com, which topped the 2014 Super Bowl streaming record.

EvaBot & Revenoid

2x AI-native B2B founder

EvaBot in 2016 — one of the first B2B applications of conversational AI, before "chatbot" was a category. Revenoid in 2024 — agentic LLM orchestration on top of MCP. Two generations of B2B AI, both sold founder-led from logo zero.

Companies I've sold to
  • Docebo
  • PDI Technologies
  • Pinnacle Group
  • ASAPP
  • MappedIn
  • Cigna
  • Anthem
  • Guild Mortgage
Featured in
  • Entrepreneur Magazine
  • San Francisco Business Times
  • CNBC Awaaz
Approach

How I run a deal — Signal to Signature

  1. 01

    I quantify the pain before discovery even starts.

    Before the first call I run signals-based pre-discovery, then pressure-test it with a Gap Selling frame so the cost of the problem is a number, not a vibe. My favorite move: cold-call a few of the junior end users and ask one question — what's your biggest unsolved problem today? Then I open discovery with, "I hope you don't hate me for this, but I actually cold-called a few of your AEs before today and asked what their biggest unsolved problems were." Nothing earns the room's attention faster.

  2. 02

    Multithread or die — over text, not email.

    Right after the first call I move the whole buying committee to SMS, sometimes LinkedIn DMs. Email is where momentum goes to die; a text gets answered in minutes. To warm the thread first, I run AI automations to help me comment on every committee member's LinkedIn posts. Nothing starts a conversation faster — by the time I reach out, I'm already a familiar name.

  3. 03

    I win POCs with five minutes a day.

    Most POCs die quietly because no one's watching them. So for the first two weeks I run a daily 5-minute check-in with every single POC user — blockers, wins, one thing to fix. That one change took our POC win rate from 38% to 57%, a 50% lift. The deal is won in the boring follow-through, not the demo.

  4. 04

    MEDDICC, then a 90-day adoption plan.

    Closed-won is not the finish line for an AI product. At Revenoid the customers that hit 90%+ rep adoption and +25% pipeline in 4 weeks all had a documented 90-day plan signed before launch. The ones that didn't, churned. I sell the plan, not just the contract.

The arc

How I got here

Engineer by education, growth marketeer by practice, founder-seller by choice. The throughline is a refusal to take the safe seat. I walked out of Infosys — a multibillion-dollar giant, the fresh college grad fav destination in India — to join a 20-person agency nobody had heard of. I left Disney Star, the largest TV network in India, to move to the US and start a company, with our daughter on the way. At EvaBot I was selling conversational AI to real-estate agents in 2016 — years before "AI" was something you put on a slide. At Revenoid I win 72% of AI proof-of-concepts in a market where 70–88% of them die before they ever reach production. The bet has never changed: get to the frontier before it's obvious, and turn it into revenue.

Read the full arc, role by role
Press

What's been written about my work

Coverage of my companies

EvaBot, Hotstar, Indigo, Thmbstrk

Quoted as an industry expert

Mobile, AI, GTM, and reciprocity

Some of the print links go back over a decade — a few of the older Indian outlets change their URLs frequently. If a link is dead, I keep a local archive.

Contact

If we're going to build something together

I'm talking to AI-native companies and labs hiring their first or second sales seat. Founding GTM, Startup AE, or Head of Sales. If your product is changing every month and your buyer is technical or conservative, we should talk.

Fellow, The RSA (Royal Society of Arts) — since 2017.