AI-native software engineering · Since 2017
AI writes the code now.
We own the result.
Edgeware turns software into systems that actually run your business — specified properly, wired into your legacy tools and messy data, secured, and kept running. Senior engineers since 2017, working AI-first since the tools got good enough.
What changed
Writing code got cheap.
Everything around it didn't.
A working demo now takes an afternoon. The expensive part of software has moved to the work no model does for you — and that is the work we do.
Knowing what to build
When code costs almost nothing, a wrong specification is the expensive mistake. We start with the people who do the work, not the feature list.
Making it work with what you have
Legacy systems, dirty data, APIs nobody documented. Real projects are won or lost here, not in the code editor.
Keeping it safe and running
Software built in weeks still has to run for years. Models change, dependencies age, costs drift — someone has to own that.
What we do
Scope it. Build it.
Keep it running.
Define — discovery & specification
The hardest part, done first. We map the workflow, audit your data and integrations, and turn it into a specification and build plan you can hold us to.
Learn more →Build — AI systems & software
AI agents, LLM pipelines and product builds that hold up in production — including taking apps you built yourself with AI tools and making them production-ready.
Learn more →Embed — FDEs, Fractional CTO & team extension
Senior people inside your team who own an outcome, not a ticket queue. One AI-first engineer often does what used to take a squad.
Learn more →Run — support, security & operations
Monitoring, security reviews, model and dependency upgrades, and AI cost control. Building is the cheap part now; we keep what was built working.
Learn more →Also: MVP development · Mobile apps for iOS and Android · Packaged AI solutions
Free assessment
What should you automate first?
Nine questions, about two minutes. You get the one task an AI agent should take over, what it costs you today, and what it takes to build.
Where real projects get stuck
The hard part is rarely
the code.
Legacy systems
The ERP from 2009, the database only one person understands. We integrate with what you run instead of asking you to replace it.
Dirty data
Duplicates, free-text fields, three spellings of every customer. We measure what your data really looks like before anything is built on top of it.
Undocumented APIs
Integrations nobody wrote down and vendors who don't answer. We map them, test them, and document them for whoever comes after us.
The team that has to use it
Software nobody adopts is a cost, not a system. We work with the people who will use it every day, and stay until they do.
Production readiness review
Built it with AI? We'll make it production-ready.
Lovable, Cursor and Claude get you to a working demo fast. We review security, architecture and deployment, fix what would break under real users, and tell you plainly what can stay as it is.
Who is accountable
Senior engineers, led by a CTO with 20+ years in production
Edgeware is our founder's second company — the first, an outsourcing and outstaffing business, ended in a successful exit. Our CTO has spent more than twenty years building production systems in e-commerce and marketplaces, adtech and marketing software, healthcare, logistics and mobility, media and streaming, real estate, oil and manufacturing, and B2B SaaS, and has worked on several AI startups along the way.
A Master's in Computer Science, a PhD in progress, and Anthropic's Claude Certified Architect credential. That experience is what makes AI-written code safe to ship: someone who knows how systems fail reviews what goes out, and answers for it.
We work alongside your team and your in-house AI efforts, not in place of them. When the risk is adoption rather than capacity, we place a forward deployed engineer who embeds with your users and owns the outcome until it is in daily use.
About Edgeware →Our principles
What doesn't change,
regardless of project size.
Senior engineers, always
Every engineer we place has 5+ years of production experience. AI makes a senior engineer faster; it does not make a junior one senior. You get who you interviewed.
AI-first, human-accountable
Our engineers build with coding agents every day. Every change is still reviewed by a senior engineer who answers for it. How we build with AI →
Your stack, your code
We work inside the tools and AI platforms you already use, and you own everything we write. No lock-in, no proprietary layer you have to keep paying for.
"We don't just write code — we take responsibility for whether it works."