Production AI for enterprise and government ·

Mind Frontier / About

The systems are the story.

Mind Frontier is an AI engineering company founded by Amar Puri after fifteen years building, securing and leading enterprise technology. Every engagement is architected hands-on and carried all the way to production.

View production work
6M+
Users served

Identity architecture designed for national-scale enterprise use.

10+
Teams led

Product, platform, security and engineering teams moved through transformation.

15+
Years building

From application code and cloud platforms to technology strategy and delivery.

AU → Global
Deployment reach

Systems engineered in Melbourne and operated across industries and markets.

Why this work exists

Built where failure has consequences.

Organisations are caught between shallow automation tools and enterprise platforms they cannot access, adapt or own.

Mind Frontier closes that gap with production AI built around the real operating environment: its constraints, security posture, people and systems.

The result is not a detached recommendation. It is a working platform, integrated into the organisation and designed to become stronger through use.

Built within
SEEKAT&TOfficeworksInfosysLocalAgentFinder

One accountable system from intent to operation.

Strategy, architecture and engineering remain connected through delivery and into production.

MF / Delivery SystemProduction is the boundary
Mind Frontier delivery systemEnterprise context moves through strategy, architecture, engineering and security into a production system.Enterprise contextObjectivesconstraints · realityArchitecture coreStrategySystem designEngineeringSecurityProductionoperating systemObserveClosed loopmeasure · learn · strengthen · transfer

Architect the whole system

Business process, interface, intelligence, infrastructure and ownership are designed together.

Ship to production

A prototype is evidence, not the outcome. The work is complete when the system is operating.

Secure from the first decision

Identity, access, data boundaries and observability are architectural inputs, not a final checklist.

Leave capability behind

Teams receive the system, the operating knowledge and a platform they can continue to evolve.

Enterprise depth across every layer.

The modern AI product is not a model with a screen attached. It is an operating system spanning interface, intelligence and infrastructure.

01

Interface

The operating surface where people direct, review and trust the system.

Workflow design
Decision support
Product interfaces
Human oversight
02

Intelligence

The reasoning layer that converts enterprise context into controlled action.

Agent orchestration
Domain tuning
Retrieval
Evaluation
03

Infrastructure

The secure foundation that makes intelligence reliable at production scale.

Cloud architecture
Identity & security
APIs & data
Observability

From REST APIs to agent runtimes, from identity architecture to the interface your teams use every day. The full system is one engineering responsibility.