Team augmentation
Our AI-Native Engineering Team joins your repo, your standups, your on-call.
From one engineer · month to month
Ho Chi Minh City · Singapore · Working worldwide
AI-Native Engineering and Product-Led Growth Team who ship outcomes, not tickets.
We deploy elite AI engineers and product leaders — fluent in state-of-the-art AI — to build and ship your production-ready product in weeks, not months. Trusted by early-stage startups to major enterprises, we build AI systems that generate millions (and soon billions) in revenue.
30 minutes, with an engineer — not a salesperson.
Working coverage
United States
Europe
Singapore
Japan
Vietnam
00061218
Overlaps our working dayTheir business hoursUTC axis · live
80+
Client projects delivered
5
Client markets — US, EU, SG, JP, VN
92.5%
Manual workload removed, best result
100+
Engineers (external in network)
Working across
TypeScriptReactNext.jsNode.jsPythonGoPostgreSQLRedisSupabaseDockerKubernetesExpoTypeScriptReactNext.jsNode.jsPythonGoPostgreSQLRedisSupabaseDockerKubernetesExpo
Three ways to work with us.
AI-Native Engineering Team only. No junior bench, no account managers.
Dedicated product teams
Cross-functional teams (AI engineers, data scientists, product managers) that own your AI product end-to-end, from discovery and build to launch and continuous optimization. We usually partner long-term (1+ years) with most clients to continuously scale your product and maximize ROI.
3–15 people · own delivery
AI delivery sprints
One workflow taken live, with evals, guardrails and handover included.
Fixed scope · fixed price
Proof, not promises.
Start with a two-week paid trial. Walk away at the end, owing nothing further.
Senior by default
Everyone we place has taken a system to production and owned it after.
We stay after launch
Four of five shipped systems still run with our involvement.
Your timezone, in writing
A fixed overlap window with your working day, agreed before kickoff.
Your IP, your repo
Your accounts, your controls. IP assigns on delivery.
The people you'll work with.
You meet the engineers before you commit.
Executive Team
Son Vo
Chief Operating Officer
Quan Do
Chief Technology Officer
Mimi Nguyen
Chief People Officer
Management Team
Huy Dang
Managing Partner
Hung Tran
VP of Engineering
An Nguyen
Head of Product
Advisory Board
Dr. Wray Buntine
Chief AI Advisor
Full Professor of Data Science and AI at Monash University, top 0.75% most-cited AI researchers globally
How we pick the engineers you'll work with.
Quality is hard to verify from the other side of the world. So we publish the bar.
01
Application
Referral or direct. Every applicant is screened by an engineer, not a recruiter.
02
Technical interview
Systems design and production judgment, not algorithm puzzles.
03
Paid work sample
A scoped piece of real work, reviewed the way we'd review a colleague's pull request.
04
Client trial
Two weeks on your codebase. Continued placement depends on your assessment, not ours.
What we've put into production.
80+ client projects across various industries. Please contact us for specific use cases for your needs. Client names withheld under NDA. Metrics measured by the client.
Our innovation engine.
A proprietary Agentic AI & Data Platform that closes the gap between static enterprise data and proactive, goal-driven autonomy.
Rather than simple chatbots or isolated models, the platform deploys coordinated multi-agent workflows that safely query data silos, reason through high-stakes constraints, and execute mission-critical tasks in real time.
We are rolling out structured access and early-adopter deployments for global enterprise partners who want to automate domain-specific operations without compromising security or data sovereignty.
Agentic workflows
Coordinated multi-agent runs with hand-offs and guardrails, not single-shot prompts.
Data silo integration
Governed queries across systems that were never built to talk to each other.
Goal-driven autonomy
Agents work towards a stated outcome and reason through the constraints on the way.
Security & data sovereignty
Deployed inside your boundary, so the data stays where your regulator expects it.
Enterprise operations
Built for the domain-specific, mission-critical work that runs the business.
Dr. Wray Buntine
Chief AI Advisor
Long before large language models captured global attention, Dr. Buntine's research at NASA Ames, UC Berkeley and Monash University established the frameworks for machine learning, nonparametric topic modelling and Bayesian inference that foundational models rely on today. With over 17,000 citations and a place in the top 0.75% of the most-cited scientists in AI, his ongoing work on reasoning calibration, reward modelling and explainability keeps our agentic systems out of black-box territory — grounded in provable safety and explainable logic.
We build the engineers we place.
AI writes more of the code every quarter. What's scarce is the engineer who owns the outcome.
Forward-deployed by default
Our engineers sit with your stakeholders, gather the requirements themselves, and ship. No translation layer.
AI-native practice
Evaluation harnesses, guardrails and cost control are standard practice here, not a specialisation.
Mentored, then trusted
Every engineer works under a senior lead before they lead. That's why we can put them in front of you.
Engineers: see our next open session.
The things clients ask first.
How do we engage — and how do we exit?
Team augmentation is month-to-month after the first quarter. Dedicated teams run on a quarterly commitment. AI delivery sprints are fixed scope and fixed price. Every engagement starts with a two-week paid trial, and you can end it there.
Who owns the IP?
You do. Work happens in your accounts, under your access controls, and IP assigns on delivery. Access is revoked the day an engagement ends.
How do you ensure data privacy and security in projects?
We protect your sensitive data using strong encryption and strict access controls, ensuring only authorized team members can reach your systems. Our team follows proven cloud security practices and adheres strictly to top international standards like SOC 2, ISO 27001, HIPAA, and GDPR. By isolating project environments and actively monitoring risks, we keep your data safe at every step.
What about the timezone gap?
We commit to a fixed daily overlap with your working day, agreed before kickoff and written into the engagement. Our clients are in the United States, Europe, Singapore, Japan and Vietnam — the overlap we offer differs by market.
What does it cost?
Engagements are priced per engineer per month for team augmentation, and fixed for delivery sprints. We'll give you a number on the first call.
Can we hire your engineers directly?
Yes, after twelve months, with a conversion fee agreed up front. We'd rather you keep a great engineer than lose the relationship.
Tell us what you're trying to ship.
Thirty minutes with an engineer. You'll leave with a written view on the team we'd recommend — either way.