AX
AI-Native Technology Studio · Est. 2025

Deep
expertise.
Amplified
by AI.

We build digital products, cloud infrastructure, and growth systems. Not because we discovered AI — but because we spent 30+ years mastering the domains AI now accelerates. That's a different kind of studio.

Start a Project Meet the Team
// How a typical MangoBit engagement runs
01
Expert Discovery Workshop
Owais-led 2-day sprint. Architecture, UX, scope — fully defined before a line of code.
human-led
02
AI-Accelerated Build
Engineers use Cursor + Claude Code for scaffolding. Architects focus on what matters: decisions, not boilerplate.
AI × Expert
03
Infrastructure & Deploy
Meghana's team sets up cloud, CI/CD, monitoring. SOC2-ready by default.
AI × Expert
04
Growth Layer (Optional)
Ad campaigns, fraud monitoring, brand safety — from the person who built these systems at Amazon DSP level.
human-led
3–5× faster than traditional agencies
60%+ gross margin target
30+
Years combined
domain expertise
·
9yr
Inside the ad tech
stack — not beside it
·
CKA
Certified Kubernetes
Administrator on team
·
SOC2
Compliance-ready
by default
·
AWS+
Azure · GCP · Amazon
Ads partner track
The Problem

Two broken
models. One fix.

Traditional agencies are too slow and too expensive. DIY AI produces mediocre output without domain expertise behind it. Dario Amodei said it plainly: "Don't be a wrapper. Build a moat." We did.

Traditional Agency
Broken
Weeks of discovery. Junior teams doing the work. Handoffs between 3 vendors for product, infra, and ads. Low margins mean they hire cheap and charge slow.
DIY with AI Tools
Risky
AI without domain expertise gives you fast, generic, wrong. No one to catch the ad fraud blindspot. No one who knows what a real Kubernetes architecture looks like. Speed without judgment.
MangoBit
The Fix
Deep expertise first. AI as the accelerant, not the actor. We've built the systems, run the audits, and shipped the products. Now we do it faster — and the quality is higher because the judgment is real.
How We Work

AI is our
multiplier,
not our actor.

Every step in our process has a human expert making the judgment call and an AI tool handling the execution. You get the speed of AI and the quality of 30+ years of experience — not one at the expense of the other.
🔍1
Discovery
Expert-led workshop. Define scope, architecture, user needs.
Human-Led
🧠2
Strategy
AI researches, compares, summarises options. Expert decides.
AI + Expert
⚡3
Build
Cursor + Claude Code for scaffolding. Engineers architect, review, refine.
AI + Expert
🚀4
Deploy
Terraform + AI-generated configs. Expert validates security, compliance.
AI + Expert
📈5
Grow
Ad campaigns, fraud detection, brand safety. Expert strategy only.
Human-Led
Traditional Agency Old Model
⏳
Marketing site: 6–10 weeks
⏳
Cloud migration: 3–6 months
⏳
SOC2 readiness: 9–12 months
💸
Gross margin: 20–30%
🔀
Handoffs: 3+ vendors for full stack
MangoBit AI-Native
✅
Marketing site: 8–12 days
✅
Cloud migration: 3–6 weeks
✅
SOC2 readiness: 90 days
✅
Gross margin: 60–70% target
✅
Handoffs: One studio, zero gaps
Services

Three layers.
One studio.

You can engage us for one layer or all three. Every service is backed by real domain expertise — not just a prompt and a prayer.

01 — Product Engineering
⬡
Digital Products
Websites, web apps, SaaS platforms, mobile apps, e-commerce, internal tools. Full-stack React + backend. Designed by a product thinker, built by engineers who've done it at scale.
How AI helps here
Cursor + Claude Code generate component scaffolding, test suites, and API boilerplate. Our engineers focus on architecture decisions, edge cases, and performance — the things AI gets wrong without expert oversight.
ReactNode.jsMobileHeadless CMSWooCommerceSaaS
02 — Cloud & DevOps
◈
Cloud & Infrastructure
Architecture design, cloud setup (AWS/Azure/GCP), migrations, data pipelines, Kubernetes orchestration, CI/CD, monitoring, SOC2/ISO compliance. Built by a CKA-certified engineer who's done this at Netskope, Walmart, and LinkedIn.
How AI helps here
AI generates Terraform configs, Helm charts, and monitoring rules as a starting point. Meghana validates and refines every decision — compliance gaps and security misconfiguration are where DIY AI fails hardest.
AWSAzureGCPKubernetesTerraformSOC2
03 — Growth & Ad Tech
◎
Growth Engineering
Programmatic advertising strategy, Amazon DSP campaign setup and management, pre-bid integrations, post-impression tracking, IVT/ad fraud detection, brand safety controls, PII handling, analytics pipelines. From the engineer who built these systems inside Amazon DSP.
How AI helps here
AI handles bid data analysis, anomaly detection, and creative performance reporting at speed. The strategy, fraud logic, and brand safety configuration requires the 9 years of inside-the-system knowledge that no AI can replicate.
Amazon DSPPre-bidIVT DetectionBrand SafetyAnalytics
Why This Works

The moat
isn't AI.
It's us.

"Don't be a wrapper. Build a moat. Find something where you can do what Anthropic cannot do and wouldn't want to specialise in."

— Dario Amodei, CEO of Anthropic

Anyone can call themselves AI-native. What they can't fake is 9 years inside the Amazon DSP bidding stack, or being the core SOC2 audit member at an enterprise security company, or building high-TPS real-time fraud detection systems. That's our moat. AI just makes it faster.

🎯
Ad Tech from the Inside
We didn't just run ad campaigns. We built the fraud detection, IVT filtering, and brand safety systems that campaigns run through. That's a different level of knowledge.
9 years · Amazon DSP level
🏗️
Enterprise-Grade DevOps
CKA-certified. SOC2 audit member. Netskope, Walmart, LinkedIn. Not startup-level infra — the real thing, at enterprise scale and security standards.
9 years · CKA certified
🔬
Product Thinking That Ships
Not a designer who makes pretty mockups. A product thinker who's taken ambiguous ideas to working products for EV fleets, government systems, and B2B SaaS.
8+ years · End-to-end product
⚡
Real-Time Systems Depth
High-TPS systems, big data pipelines, real-time bidding infrastructure, PII handling at scale. The kind of engineering that breaks under load if you get it wrong.
9 years · Production systems
Partner Track

Certified where
it matters.

Implementation partnerships mean clients get vendor co-sell support, verified credentials, and battle-tested playbooks — not just our word for it.

Cloud Infrastructure
AWS Partner Network
Multiple years of AWS hands-on experience across EC2, ECS, Lambda, CloudWatch, Systems Manager, and more. Pursuing Registered Partner status on launch.
Pursuing on launch
Cloud Infrastructure
Microsoft Azure Partner
Meghana's background maps directly to Azure Solutions Partner requirements — DevOps, security, compliance, ARM templates, Azure DevOps pipelines. Strongest near-term path.
Pursuing on launch
Advertising Technology
Amazon Ads Partner
Pre-bid integrations, post-impression tracking, DSP campaign management — built from inside Amazon's ad tech ecosystem. One of the rarest credentials a studio can hold.
Pursuing on launch

Ready to build
something real?

Product. Infrastructure. Growth. One studio. Tell us what you're working on.

Start the Conversation Meet the Team
About MangoBit

We're engineers
who use AI.
Not the other
way around.

MangoBit is an AI-native technology studio founded by engineers, designers, and operators with a combined 30+ years of experience building the infrastructure, products, and advertising systems that power the modern internet.

The difference between us and every other "AI agency" is simple: we had deep domain expertise before AI made it scalable. Nine years inside Amazon's ad tech stack. Enterprise DevOps at Netskope, Walmart, and LinkedIn. Products shipped for EV fleets, government billing systems, and B2B SaaS. That expertise doesn't go away when you add AI — it multiplies.

Dario Amodei, CEO of Anthropic, put it plainly when advising founders: "Don't be a wrapper. Build a moat." Ours was built over a decade before we started MangoBit. AI just lets us deploy it at software-company margins.

"Agencies of the future will look more like software companies, with software margins — and they'll scale far bigger than any agencies that exist in these fragmented markets today."

— Aaron Epstein, Y Combinator · On AI-Native Agencies

The Founders

Four experts.
Zero gaps.

Every capability in-house. The founders do the senior work — no subcontractors, no hand-offs, no juniors billing premium rates.

A
Co-Founder · Ad Tech & Strategy
Founder
9 years · Ad Tech
Built fraud detection, IVT filtering, pre-bid integrations, and brand safety controls inside Amazon DSP. Real-time high-TPS systems, PII handling at scale, URL crawling infrastructure. The person who knows how the ad stack actually works from the inside — not just how to buy media on top of it.
Amazon DSP Ad Fraud / IVT Brand Safety Big Data Real-time Systems AWS E-commerce
M
Co-Founder · Cloud & DevOps
Meghana
9 years · DevOps · CKA Certified
Senior DevOps Engineer at Netskope. Previously Walmart Global Tech and LinkedIn. CKA-certified and GCP Cloud Developer certified. Core SOC2 and ISO audit member. Has built Kubernetes clusters from scratch, enterprise CI/CD pipelines, and cloud infrastructure with serious security requirements.
Kubernetes / CKA AWS · Azure · GCP Terraform CI/CD SOC2 / ISO ELK · Prometheus
O
Co-Founder · Product & UX
Owais
8+ years · Product Design
A "designeer" — engineer by training, designer by calling. Has shipped products for EV fleet management (Electriphi), government billing systems, and B2B SaaS. Specialises in turning ambiguous ideas into clear, buildable product visions through discovery workshops, design systems, and UX research.
Product Strategy UX Design Design Systems Discovery Workshops Brand Identity Prototyping
F
Co-Founder · Engineering
Frontend Founder
Full-Stack · React
Full-stack engineer specialising in React — both client and server. Builds production-grade web applications with clean architecture and real performance. The person who translates product vision and UX into working software, fast and correctly.
React Node.js Full-Stack Web Apps Architecture
How We Operate

Principles that
show up in the work.

Expertise first. AI second.
We never let AI make the judgment call. Every architectural decision, every strategy choice, every compliance decision is made by a human expert who has done it before. AI handles the execution.
Outcomes, not hours
We don't sell time. We sell results. If AI lets us deliver in 10 days what takes others 6 weeks, you get the speed benefit — not a padded invoice.
Founders do the work
The senior people pitch the project and the senior people do the project. No bait-and-switch to junior teams after contracts are signed.
Full-stack accountability
Product, infra, and growth under one roof means nobody can blame someone else when something breaks. We own it end-to-end.
Build to scale from day one
Architecture decisions and ad systems are built for the business you're becoming, not just who you are today. We don't build things that need to be rebuilt at Series A.
Radical transparency
No surprise invoices. No scope creep in the dark. If something is off-track, we say so in the first weekly call — not the final invoice.
Our Vision

"The opportunity isn't to be the AI tool that replaces agencies. It's to be the agency that actually knows how to use AI — because the expertise was always real. We're building that studio."

Anthropic's CEO has said the biggest opportunity in AI is at the application layer — for builders who have domain knowledge that AI can't replicate. Every member of this founding team spent years building systems inside the industries we now serve. That's the edge. That's the plan.

— MangoBit · Founded 2025

Let's build
something together.

Product, infrastructure, or growth — we'd love to hear what you're working on.

Start the Conversation See Our Services