Company

Built for the hard part of production AI.

AxonFlow exists because AI pilots usually fail at the same point: the model works, but the surrounding enterprise controls do not. Permissions, approvals, audit trails, policy decisions, and runtime evidence need to be part of the execution path, not a quarterly spreadsheet.

Thesis

AI governance has to move into the runtime.

Most enterprise AI work does not stall because teams cannot prompt a model. It stalls because production systems need to answer harder questions: who can call which tool, which policy made a decision, when should a human approve, what changed between two runs, and what evidence can be shown to security, risk, legal, or audit teams.

AxonFlow is a runtime control layer for that gap. It sits between AI agents and real systems, enforcing policies, recording decisions, routing approvals, and giving platform teams the operational evidence they need before AI touches sensitive workflows.

Core team

Practitioners with infrastructure, security, and scale scars.

AxonFlow is small by design, but the work is shaped by people who have built and governed systems where reliability, compliance, and data protection matter.

SJ

Saurabh Jain

Co-Founder & CEO

Saurabh is a repeat founder and engineering leader building AxonFlow after seeing enterprise AI adoption stall around runtime control, auditability, and compliance.

  • Led GenAI adoption across 1,500+ engineers at Booking.com, and DMA compliance remediation across 100+ systems in eight months.
  • Re-architected Booking.com's 25-year-old reservation monolith into a GDPR, SoX, and DMA compliant serverless platform with zero production outages, supporting over 1B room nights a year.
  • Earlier at Booking.com, ran account security and fraud engineering: secrets management, certificate automation for PCI and SoX, and ML defences handling millions of requests per minute.
  • Replatformed Uber's incentives system, managing hundreds of millions in annual spend.
  • Co-founded ListUp, a marketplace backed by Kae Capital and angels, raising roughly $600K and scaling to 35 employees.
GZ

Gregory Zak

Co-Founder & CTO

Greg brings deep backend and platform engineering experience to AxonFlow, with a long track record of building reliable services and developer-facing systems.

  • Former Principal Developer at Booking.com.
  • Technical lead at Google for over three years, across data centre automation and Nest subscription infrastructure, and later at Waze.
  • Four and a half years at LinkedIn building communications infrastructure, delivering email, push, and SMS at massive scale.
  • Staff Software Engineer at Tesla and Principal Software Engineer at SolarCity.
  • Computer Science from Carnegie Mellon. Open source author with a library past 10,000 downloads, and a volunteer CS teacher.
Advisors

Operators who have already solved this at scale.

Our advisors have run security, platform, and go-to-market at organizations where governance was not optional. They shape how AxonFlow is built and how it reaches the enterprises that need it.

NC

Nir Chervoni

Advisor, Security & Compliance

Nir advises AxonFlow on security architecture, data protection, and what regulated buyers require before putting AI workloads into production.

  • Head of Security Products at Nebius, building the security layer enterprises need to run AI workloads, including agentic AI.
  • Led Data Security at Booking.com for five years, a roughly 30-person product and engineering organization.
  • Former global CISO at Credorax and Head of Security Solution Architects at Discount Bank.
  • Advisory board member at Glilot Capital Partners. CISSP and named inventor on two network security patents.
CC

Chinmay Chauhan

Advisor, GTM & Enterprise AI

Chinmay advises AxonFlow on go-to-market, enterprise AI positioning, and building a commercial motion around a deeply technical product.

  • Co-founder of Acceler8, an enterprise AI company in the a16z speedrun program.
  • Co-founded a Southeast Asian fintech that raised more than $80M and scaled to a 400-person team.
  • Early product leader at Grab as its eighth product manager, later Director of Product at Carousell.
  • Angel investor and advisor across 40+ startups. Y Combinator alum, Forbes 30 Under 30, IIT Bombay.
LV

Lalli Varadh

Strategic Advisor, Platform & Scale

Lalli advises AxonFlow on platform architecture, enterprise readiness, and the organizational side of growing from a startup into enterprise-grade operations.

  • Head of Technology and Senior Director of Engineering at Booking.com.
  • Engineering leadership at Intuit, Salesforce, and PayPal, twice reporting directly to the CIO.
  • More than 25 years scaling platform organizations across marketplace, fintech, and SaaS.
  • Named inventor on four patents spanning cloud reliability and data integration.
DG

Dhruv Ghulati

Advisor, Applied AI & Product

Dhruv advises AxonFlow on applied AI product strategy, enterprise adoption, and turning technical capability into products that buyers can deploy.

  • Principal Product Manager for AI and ML at Adyen, building applied AI for global payments.
  • First site product manager for Uber's Applied AI team, where he launched GenAI and multimodal products used by millions.
  • Founded Factmata, raised $4.5M, served Fortune 500 customers, and led the company through its acquisition by Cision.
  • Forbes 30 Under 30. Previously led an 18-person AI and ML fraud team at Onfido.
Proof points

Credibility where buyers actually care.

Scale prior platform work on reservation systems supporting more than 1B room nights annually
100+ systems remediated or integrated during compliance-heavy platform modernization and GenAI-assisted rollout work
20+ years of security, privacy, and enterprise risk leadership through AxonFlow advisory experience
~$600K raised by ListUp, the previous company co-founded by Saurabh
615 companies with Scarf-attributed SDK, docs, or product activity in the three months to July 16, 2026; bot traffic excluded
62 / 39 Forbes Global 2000 / Fortune 500 companies with attributed activity in that dated snapshot; an evaluation signal, not customer attribution
140+ distinct external sources running in production mode, observed in opt-out telemetry by July 16, 2026; a usage signal, not a customer or revenue claim

Working on production AI governance?

If your team is moving beyond demos and needs policy enforcement, approvals, auditability, and runtime evidence, we would be happy to compare notes.

Try the interactive demo Run locally