monō ai

Technology, Information and Internet

Apt Insight

They're an early-stage team moving rapidly in the autonomous agent space, offering broad ownership and direct enterprise impact from day one. Headquartered in Sydney, Australia, they operate in the artificial intelligence and enterprise software industry. They currently sit within the 11-50 employee size band as a privately held startup. The team is actively bringing on new talent as they prepare to expand into international markets.

Is this a good match for you?

Unlock your full match with Apt ProStart with the AI-powered career test to unlock your personal career mentor, full company insights, and a personalized job board designed around your goals.

About

The monō platform is a multi-agent AI orchestration layer with access to all major foundation models, 100+ enterprise connectors, semantic memory, and a headless API — all inference-only, so client data stays sovereign. It is delivered by embedded pods of senior operators and engineers who sit inside client operations, using our VICE methodology (Velocity, Intelligence, Capacity, Experience) to prove value fast in the core of the business, then scale. monō ai exists to help businesses go AI-native — so that people can do the best work of their lives, and organisations can achieve what was never possible before. Today, there is a massive gap between the AI-native companies at the frontier and where the vast majority of enterprises sit. Most are not failing because the technology doesn't work. They are failing because nobody is helping them fundamentally rewire how they operate, decide, and deliver. We close that gap. We sit inside our clients' teams, build real systems on their infrastructure, and prove value in weeks — not with a roadmap, but with working capability.

Founded2026

HeadquartersSydney, New South Wales

IndustryTechnology, Information and Internet

Websitewww.monoai.co

Employees11

Open roles at monō ai

3 open roles, newest first.

Business Operations ManagerSydney, New South Wales · Onsite

Applied AI Partnerships & Mid-Market Growth LeadSydney, New South Wales · Onsite

Senior Account Executive, Applied AISydney, New South Wales · Onsite

Why people join & leave

Why join

Opportunity to build native AI architectureHigh ownership in early-stage environmentExperienced executive leadershipExposure to tier-one enterprise deployments

Why leave

Navigating early-stage ambiguityHigh-pressure embedded client deliveryRapidly changing technical landscape

Company Pulse

In the News

Business Operations Manager at monō ai - RevPathrevpath.dealhub.io · Sep 24, 2026

Over the last few weeks, we've welcomed new starters, spent ...linkedin.com · Sep 6, 2026

Dave Hyman’s New AI Venture: monō ai Explained | Atlassian & G+T’s Danny Gilbert Joins as Advisor (2026)movieww.com · Aug 4, 2026

Mono ai is leading the Native AI revolution. Follow them closely. Thank me later.linkedin.com · Jul 9, 2026

Was mid-build in our monō ai foundry coding harness tonight and got an error I've never seen before. "Model not found." | David Hymanlinkedin.com · Jun 13, 2026

Quick Take

Strengths

High-profile backingFounded by former Lendi Group CEO Dave Hyman with Atlassian and G+T advisor Danny Gilbert.

Global expansionActively welcoming new hires while preparing to launch operations in the US.

Watch out

Model dependency risksVulnerable to external model provider changes and foreign export controls.

Note

Embedded service modelCombines software orchestration with senior embedded operator pods on client infrastructure.

Things to consider

Early-stage ambiguity — As a young startup, roles demand broad cross-functional ownership and working without established internal processes.

Fast-paced demands — The hands-on embedded deployment model requires high velocity and direct client integration.

Leadership

David HymanFounder

Daniel FolbFounding VP, Clients

Shoumo ThakurtaFounding VP, Product

Olivia BraddickFounding VP, Growth

Dominick NgVP, Engineering

Brad DrysdaleField CTO

Brad PerriottHead of GTM

What They Build

monō ai builds a multi-agent AI orchestration layer with semantic memory and headless APIs for enterprise operations. Their systems allow clients to run inference across major foundation models on sovereign infrastructure. Engineering focuses on swappable model architectures, enterprise connectors, and agentic workflows.

AI Orchestration

Autonomous Agents

Enterprise Automation

Semantic Memory

Developer Tooling

Domains

Artificial Intelligence

Backend

Systems Integration

Security & Compliance

Tech Stack

Python

TypeScript

JavaScript

PostgreSQL

MongoDB

OpenTelemetry

Shippable