Magnitudeminds AI Implementation

About

An AI engineering studio in Ho Chi Minh City.

Magnitudeminds AI Implementation is the services arm of Magnitudeminds. We build, run, and maintain production AI for enterprise and mid-market companies. The same team builds our own products.

View case studies

Partner programs

OpenAI Select Partner badgeMicrosoft for StartupsAWSGoogle for Startups

What we are

Magnitudeminds is one company with two arms. Magnitudeminds Inc., in New York, builds agentic software products for small and mid-sized businesses. Magnitudeminds AI Implementation, in Ho Chi Minh City, is the engineering services arm: the team that builds and operates production AI for clients.

The two arms share engineers and practice. What we learn running our own products in production goes into client work, and what we build for enterprise clients informs the products.

We are founder-run and an OpenAI Select Partner in the OpenAI Partner Network. We stay model-agnostic: OpenAI, Anthropic, Google, Meta, Mistral, or self-hosted open-weight models, chosen by requirements, region, and where your data may live.

At a glance
Entity
Magnitudeminds Company Limited
Based in
Ho Chi Minh City, Vietnam. Two offices.
Team
15+ engineers, senior-weighted
Programs
OpenAI Select Partner, NVIDIA Inception, Google for Startups, AWS Activate, Microsoft for Startups
Working languages
English, Vietnamese, German

How we work

Four practices, kept on every engagement.

01

Discovery is done in person

Requirements are gathered with the people who do the work, in their tools, before anything is designed. AI speeds up every step after that one.

02

AI-native delivery

Language models are part of our own process: research, code, tests, and documentation. It lets a small senior team cover the ground of a larger one.

03

Product thinking

Every solution starts with two questions: what should AI change here, and what should it leave alone. The second answer shapes the system as much as the first.

04

Governance built in

Internal guidelines cover transparency, auditability, and bias checks. Systems that make decisions about people ship with logging and review gates by default.

The team

Senior engineers in Vietnam, working with clients worldwide.

Fifteen-plus engineers across agents, data, platform, and product. Most shipped inside large engineering organisations before joining. All pass the six-stage interview pipeline we run for AI Pods.

Clients we have delivered for

SavillsIMV GroupEmmianycoverAsserto AI

Where our engineers worked before

P&GCiscoSAPOracleBoschNTT DataNABGrabSamsungLazadaFPT SoftwareUC Berkeley

Startup programs

NVIDIA InceptionGoogle for StartupsAWS ActivateMicrosoft for Startups

Magnitudeminds is also an OpenAI Select Partner in the OpenAI Partner Network. What we deliver on OpenAI. Enterprise work, including a Fortune 500 supply-chain pilot, is under NDA and not named here.

Implementation framework

From business challenge to a system in production.

Five stages, run in order, each with a defined outcome. Programs can enter at any stage if the earlier work is already done.

01

Business challenge discovery

Focus

Workshops and a rapid review of your data and systems.

Outcome

Up to three AI opportunities, prioritised by value and feasibility, with an estimate for each.

02

Cloud and data enablement

Focus

Clean, well-labelled data pipelines on your preferred cloud, or on premise.

Outcome

Data the models can rely on, inside your existing platform and compliance boundary.

03

Responsible AI operations

Focus

Checks for bias, explainability, and privacy designed into the system.

Outcome

Auditable AI you can show to clients and regulators.

04

Pilot and validation

Focus

A pilot deployed in your environment, scoped to return evidence within a quarter.

Outcome

A scale decision made on measured results, not a demo.

05

Production and reliability

Focus

CI/CD, managed serving on your infrastructure, and continuous monitoring.

Outcome

Systems that run without you thinking about the servers.

Ho Chi Minh City, Vietnam

Work with a team that runs its own AI in production.

Describe the system you need. We will propose an engagement model and name the engineering lead.

View case studies