Engineers. Builders. Problem Solvers.
Fastly is an AI and software engineering studio — built around one consistent standard for how serious software gets designed, built, and shipped into production.
Who We Are
Fastly is an AI and software engineering studio. We design and build systems — AI-native software, autonomous agents, web and mobile applications, and enterprise platforms — for teams that need something built correctly the first time, not just quickly.
What makes us different isn't a longer feature list. It's how we work: every engagement starts with understanding the actual constraints — technical, business, regulatory — before a single architectural decision gets made. We'd rather spend an extra day in discovery than spend three months rebuilding something designed against the wrong assumptions.
We're not a marketplace of freelancers or a name attached to outsourced work. Every system we ship reflects one consistent engineering standard, applied the same way across every project, every service line, every industry we work in.
Curious what it's like to work here? See our Careers page.
Our Mission
To build software that survives contact with reality — real users, real load, real change — instead of software that only ever has to work in a demo.
Our Vision
As AI becomes a default part of how software gets built and how businesses operate, the gap between companies with AI-native systems and companies retrofitting AI onto legacy software will only widen. Our vision is to be the engineering partner that closes that gap — building the AI-native, enterprise-grade, automation-ready systems that let a business compete on what it does, not what its software can't do.
Culture
How Decisions Actually Get Made
Architecture and scope decisions happen in direct conversation with the people who will build and maintain the result — not handed down from a separate strategy layer.
Core Values
Not a list of adjectives — what each one actually means for how we build.
We Ship, Not Just Design
A design or a prototype that never reaches production has delivered nothing. We measure our own work by what's actually running, not by what's been mocked up.
Constraints Before Code
We understand the real technical, business, and regulatory constraints before writing the first line — so the architecture fits the problem instead of fighting it later.
Boring Technology, Used Well
We choose proven, well-understood tools over hype, and reserve novelty for the specific parts of a system that actually need it.
Own the Outcome
A shipped system is still our responsibility after launch. If something breaks in production, that's not a ticket for someone else — it's ours to fix.
Write It Down
Every meaningful architectural decision is documented as it's made, so the system stays understandable to the next engineer without reverse-engineering it.
Engineering Philosophy
The same documented standard applied to every project, not adjusted case by case.
Performance First
Core Web Vitals budgets are treated as requirements, not aspirations — enforced the same way for every project, not tuned after users complain.
Clean Architecture
Systems are structured so a new engineer can understand the shape of the codebase before reading a single line of business logic.
Scalability
Architecture is designed to handle more data, more usage, and more complexity without a rewrite at the next order of magnitude.
Security
Security is designed in from the first commit — a constraint on the architecture, not a review pass added before launch.
SEO-First
Every page is built to be equally legible to search engines, AI answer engines, and the humans actually reading it — structured from day one, not retrofitted.
Accessibility
WCAG 2.2 AA is the floor we build to, not a target we aim for eventually.
Maintainability
Code is written for the engineer who inherits it in two years, not just for the one shipping it today.
AI-First Thinking
AI is treated as a first-class part of the architecture from the first design decision, not a feature bolted on after the product is built.
Technology Stack
The technologies we build with most — chosen for the problem at hand, not novelty.
- Next.js
- React
- TypeScript
- Node.js
- NestJS
- Flutter
- React Native
- PostgreSQL
- Supabase
- Docker
- OpenAI
- Anthropic
- Cloudflare
- AWS
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.
- Enterprise Ready
Healthcare
Compliance-aware platforms and internal tools built for sensitive healthcare data, from patient-facing apps to clinical systems.
3 Relevant Services - Enterprise Ready
Finance
Secure, audit-ready systems for financial services — internal tooling and customer-facing platforms handling sensitive transactions.
3 Relevant Services - Enterprise Ready
Ecommerce
High-conversion storefronts and marketplace platforms engineered for performance at checkout and reliability during peak traffic.
3 Relevant Services - Enterprise Ready
Education
Learning platforms and administrative systems built around real classroom and institutional workflows, not a generic LMS template.
3 Relevant Services - Enterprise Ready
Logistics
Operations and fleet-management systems that keep data synchronized across dispatch, drivers, and warehouses in real time.
3 Relevant Services - Enterprise Ready
Manufacturing
Internal tooling and automation that connects shop-floor systems to the software your operations and planning teams actually use.
3 Relevant Services - Enterprise Ready
Real Estate
Property management platforms and client portals built around how listings, transactions, and client communication actually happen.
3 Relevant Services - Enterprise Ready
Startups
Fast, technically sound MVPs and early platforms built to hold up as you scale, not thrown away after the first round of funding.
3 Relevant Services
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.
01
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
02
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
03
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
04
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
Why Companies Choose Fastly
Not because of a longer feature list — because of a different default answer to how software gets built.
- Performance
Optimized for a passing Lighthouse score, not real users.
Every decision weighed against real-world speed on real devices.
- AI
Bolted on as a chatbot feature after the product is built.
A first-class part of the architecture from the first design decision.
- Architecture
Built to work in a demo, then patched as real usage arrives.
Built to scale, integrate, and hold up under real production load.
- Security
A review pass added right before launch.
A constraint from the first commit, not a pre-launch checklist.
- Scale
Rewritten from scratch at the next order of magnitude.
Architecture that grows with real usage — no rewrite required.
- Tech Stack
Chosen for novelty or what a tutorial made popular.
Current, well-maintained tools chosen for the actual problem.
See this approach applied to specific problems in our Case Studies.
Frequently Asked Questions
What kind of companies does Fastly work with?
Companies that need custom software built around their specific workflow and constraints — from early-stage startups building their first platform to established businesses modernizing legacy systems. Industry-specific context is on our Industries section below.
Does Fastly only build AI products?
No. AI software and agents are core to what we build, but we also build custom web applications, mobile apps, SaaS platforms, marketplaces, and enterprise systems — see our Services page for the full list.
How does Fastly's engineering process work?
Every engagement follows the same four-phase process — Discovery, Strategy, Development, and Launch & Growth — detailed in the Development Process section on this page.
What technologies does Fastly build with?
A modern, well-maintained stack chosen for the problem at hand, not novelty — see the Technology Stack section on this page for the specific tools used most.
How do I start a project with Fastly?
Reach out through the contact page or WhatsApp — we'll respond with next steps, not a generic sales pitch.
Let's Build Something Great Together
Tell us what you're building and we'll get back to you with next steps — no obligation, no generic sales pitch.