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Available for New EngagementsAI & Software Engineering Studio

AI Software EngineeringThat SurvivesProduction.

Fastly designs and engineers AI-native software for companies that can't afford a demo that doesn't survive contact with real traffic — autonomous agents, production platforms, and the data pipelines, monitoring, and infrastructure most prototypes never get.

  • AI-Native Architecture
  • Enterprise-Grade Security
  • WCAG 2.2 AA Accessible
  • 17 Core Services
Built With
  • Next.js
  • TypeScript
  • React
  • Three.js
Trusted Technologies
  • Next.js
  • React
  • TypeScript
  • Node.js
  • NestJS
  • Python
  • FastAPI
  • PostgreSQL
  • Redis
  • Docker
  • Kubernetes
  • AWS
  • Google Cloud
  • Azure
  • OpenAI
  • Claude
  • Senior Engineering ReviewEvery build is reviewed against real architectural and quality standards.
  • Performance Budgets EnforcedCore Web Vitals are checked before anything ships, not after.
  • Security Designed InThreat modeling and secure defaults from the first architecture decision.
  • AI-Augmented, Human-VerifiedAI tooling accelerates delivery; engineers own every decision that ships.
What We Do

Services

Eight core disciplines, one engineering standard — from AI-native software to enterprise systems built to scale.

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Technology

Technology Ecosystem

Current, well-maintained tools chosen for the problem at hand — the same stack named across our Service Detail pages, not a marketing wishlist.

Frontend

3

The layer every user sees and interacts with directly.

  • Next.jsv15
  • Reactv19
  • TypeScriptv5

Backend

6

Application logic, APIs, and the data layer beneath it.

  • Node.js
  • NestJS
  • Python
  • FastAPI
  • PostgreSQL
  • Redis

Cloud & Infrastructure

7

Where the system deploys, runs, and scales in production.

  • Docker
  • Kubernetes
  • AWS
  • Google Cloud
  • Azure
  • Cloudflare
  • Vercel

AI & Data

2

Model providers powering AI-native features end to end.

  • OpenAI
  • Claude
Industries

Built for the Industries That Can't Afford Downtime

Different industries bring different constraints — compliance, scale, real-time data. Here's how that shapes what we build.

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Our Process

How We Build Software That Lasts.

Four phases, one continuous thread from first conversation to a system running in production — the same disciplined workflow behind every engagement, not a generic checklist.

  1. A team collaborating around a whiteboard during a planning session01

    Discovery

    Understanding your goals, users, and technical constraints before a single line of code is written — so the plan is right before the build starts.

    • Stakeholder and goal alignment
    • User and workflow research
    • Technical constraints audit
    • Early wireframes and concepts

    Technical Brief

  2. A technical diagram being presented on a whiteboard02

    Strategy

    Turning research into a concrete technical plan — the architecture, stack, and roadmap the rest of the engagement is built on.

    • System architecture design
    • Technology and infrastructure selection
    • Data model and API planning
    • Delivery roadmap and milestones

    Architecture Plan

  3. A rack of servers in a data center03

    Engineering

    Building in focused iterations, with working software at every stage — not a single opaque handoff months later.

    • Iterative development sprints
    • Code review and testing at every stage
    • Continuous integration and deployment
    • Regular working demos

    Working Software

  4. An analytics dashboard displaying performance data on a screen04

    Launch & Growth

    Shipping to production, then monitoring, refining, and scaling based on how the system actually performs under real usage.

    • Production deployment
    • Monitoring and observability
    • Performance and cost optimization
    • Ongoing scaling support

    Production Release

  • Transparent Process
  • Weekly Updates
  • Production First
  • QA Included
  • Scalable Architecture
Quality

Quality Commitment

Most software gets built to work in a demo. We build it to survive contact with real users, real load, and real change.

  • A runner captured mid-motion with a fast motion-blur effect

    Performance First

    Every decision is weighed against real-world speed — for users, not just benchmarks.

  • A glowing AI chip mounted on a circuit board

    AI Native

    AI is treated as a first-class part of the architecture, not a feature bolted on afterward.

  • The glass facade of a modern office building

    Enterprise Architecture

    Systems built to scale, integrate, and hold up under real production load.

  • A combination lock resting on a computer keyboard

    Secure by Design

    Security is a constraint from the first commit, not a review before launch.

  • Performance analytics graphs displayed on a laptop screen

    Scalable Solutions

    Architecture that grows with real usage, without a rewrite at the next order of magnitude.

  • A developer's workspace filled with code on multiple screens

    Modern Tech Stack

    Current, well-maintained tools chosen for the problem at hand, not novelty.

Engineering Principles

Why Enterprise Teams Choose Fastly

Fastly is a new studio, so this is not a client testimonial reel — it is the documented engineering standard every project is held to. Real client voices will take this section's place as engagements complete.

AI is architected as a first-class part of the system from the first design review, not bolted onto existing infrastructure afterward — the data pipeline, explainability, and human-in-the-loop thresholds are decided before a model is chosen, not after.

AI-Native Engineering

Engineering Standards

Case Studies

Engineering in Practice

Reference architectures and concept demonstrations showing how we approach real engineering problems — not completed client work, clearly labeled as such throughout.

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Concept Demonstration
AI

AI-Powered CRM

A concept demonstration of an AI-native CRM that surfaces account signal instead of leaving it buried in a list of records.

Challenge

Sales and account teams spend more time searching a CRM than acting on what it contains.

4 Architecture Layers3 Technical Challenges Addressed
Next.jsPostgreSQLOpenAIRedisNestJS
View Demonstration
Reference Architecture
AI

Autonomous AI Agent System

A reference architecture for a production-grade AI agent — guardrails, memory, and monitoring, not just a model choice.

4 Architecture Layers3 Technical Challenges Addressed
LangGraphOpenAIAnthropicRedis
View Demonstration
Reference Architecture
Marketplace

Multi-Vendor Marketplace

A reference architecture for connecting multiple vendors to buyers — payments, trust, and matching mechanics.

4 Architecture Layers3 Technical Challenges Addressed
Next.jsStripe ConnectPostgreSQLElasticsearch
View Demonstration
Global Reach

Engineering Without Borders

A remote-first engineering model built to work across time zones — able to support teams and clients in:

  • United States
  • Canada
  • United Kingdom
  • Australia
  • Singapore
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Bahrain
  • Kuwait
  • Pakistan
  • Germany
  • Netherlands
Stats

Fastly in Numbers

Real counts pulled from what we've actually built and documented — not marketing estimates.

  • 17Core Services
  • 8Industries Served
  • AAWCAG 2.2 Accessible
  • 100%Server-First Architecture
Now Serving Dubai & the UAE

Software Development for Dubai's Fastest-Moving Businesses

AI software, enterprise systems, and digital transformation — built for Dubai's D33-driven market.

$37.69B

projected UAE IT services market size by 2030

70.1%

workplace AI diffusion rate in the UAE, vs. 17.8% globally

Explore Dubai Services
Get Started

Let's Talk About What You're Building

Tell us the problem you're solving — we'll tell you honestly whether we're the right team for it, no generic sales pitch.