We craft LLM powered solutions that transform how businesses think, work and grow. From thought to concept to minimum viable product in days, maybe weeks but not months.
Discover the story behind our mission to make AI as beloved and accessible as the software revolution of the 90s.
Circa 1995-1999. Microsoft had ultimate dominance in the PC OS market. It was utter software brilliance. True gold. A very simple mouse driven GUI with one button that simply said start
. One click and you were presented with app options. The intuitive nature flowed across all of their software packages namely Microsoft Office. Microsoft blew up and was everywhere and it made it easy to gain internet access for the everyday PC user. Thus Microsoft became the name in PC software.
As I started my professional tech career in 1995 I knew my aspirations were more entrepreneurial rather than corporate America. I told myself then that when I developed my software company I wanted to emulate the whole MS success starting with the name.
In my pursuit of understanding ancient texts and religions, I've often delved into etymology, the study of word origins. The name "Amy" caught my attention due to its simple yet profound meaning. Derived from the Latin word 'amare', which means 'to love', Amy symbolizes something or someone beloved. This essence of being cherished and valued resonated with me, leading to the choice of "Amysoft" as the name for my software company.
Amysoft draws inspiration not just from the name but also from Microsoft's approach to software development:
By embedding these values into our company's ethos, Amysoft aspires not only to produce beloved software but to become a beloved brand in the tech industry, much like Microsoft did in its prime.
My path in tech wasn't about collecting prestigious names on a resume. It was about crafting solutions before they had proper names. When I built my first content management system back in the day, nobody knew what to call it. That's always been my approach—building what needs to exist, regardless of whether there's a buzzword for it yet.
Teaching myself PHP and MySQL in those early days opened doors to contract work that let me cherry-pick fascinating challenges. I've had the privilege of weaving multilanguage support into Mall of America's digital presence, creating image processing pipelines with early AWS when the cloud was still a mystery to most, and building intranet portals for DuPont that connected with SAP systems before APIs were commonplace.
Now, at Amysoft, we're bringing that same pioneering spirit to artificial intelligence. Remember when computers were mysterious boxes that only specialists could understand? Microsoft made them accessible to everyone with that magical start
button. We're doing the same with AI—transforming complex technology into intuitive tools that feel like old friends.
Our AI agents aren't just cold algorithms; they're beloved assistants designed to create valuable and highly efficient workflows that produce productive results. Like those early Microsoft products that somehow knew exactly what computer users wanted, our AI solutions anticipate and deliver with a warmth that technology often lacks.
The tech world has always moved in cycles of complexity and simplification. We're now in a moment where AI capabilities are exploding, but most people are left wondering how to harness this power. Amysoft stands at this crossroads, making tomorrow's technology feel as familiar and essential as that first Windows desktop did back in 1995.
Join us as we build AI that isn't just smart, but loved—software that makes you smile with recognition when you use it.
High-performance streaming language model infrastructure designed for real-time AI applications and enterprise-scale deployments.
StreamLLM provides blazing-fast inference capabilities with optimized memory usage and reduced latency. Built for production environments where performance and reliability are critical.
Advanced attention mechanisms and memory optimization techniques that deliver up to 10x faster inference speeds compared to traditional LLM deployments.
Real-time token streaming with intelligent buffering and parallel processing capabilities for seamless user experiences in conversational AI applications.
RESTful APIs, WebSocket support, and containerized deployment options that integrate seamlessly with existing enterprise infrastructure and workflows.
The next evolution in AI companionship. Designed to redefine personal and professional assistance.
AmyGateway is the next evolution in AI partnership. Designed to redefine personal and professional assistance.
Let me paint you a picture of Agile in a small business: You need a product owner, a scrum master, at least 3-5 developers, QA, and everyone sitting in meetings for sprint planning, daily standups, and retrospectives. That's easily $500K+ in annual salaries before you write a single line of code. The consulting firms won't tell you this, but Agile was designed by and for enterprises with money to burn. Spotify can afford to have squads and tribes. Your local manufacturing business trying to build a customer portal? They need results, not rituals. I've watched startups hemorrhage cash trying to 'do Agile right'—hiring Agile coaches, sending teams to certification programs, buying JIRA licenses they'll never fully use. Meanwhile, their competitor who just built something and shipped it is already capturing market share.
Here's where we flip the script entirely. What if you could have an entire engineering team that never sleeps, never needs meetings, and costs less than one junior developer?
Where LLM agents replace your expensive planning team
Instead of paying consultants $300/hour to write requirements, our AI agents:
This used to take weeks and cost thousands. We do it in a day or two and only about one thousand dollars.
Where AI and humans collaborate at warp speed
Once the plan is bulletproof, we switch gears:
The beautiful part? When requirements change (and they always do), we can re-run Phase 1 in hours, not weeks. Try doing that with a traditional Agile team.
We're not anti-Agile. We're pro-reality. When you're a startup with $50K to build your MVP, not $500K, you need methodologies that match your constraints.
In fact, many developers successfully leverage LLMs within a pure Agile framework. The difference? They're already Agile experts who know how to micro-manage every LLM response through iterative, human-in-the-loop workflows. If you have engineers with this expertise, it's a perfectly valid path—we're just offering an alternative. Waterfall 2.0 takes a different angle: by feeding LLMs strongly defined requirements upfront, we enable more autonomous AI agents that need less constant human oversight. Same destination, different journey.
Think about it—LLMs are perfect for the upfront work that makes Waterfall fail:
And humans are perfect for the creative problem-solving that makes pure AI solutions fall short:
Waterfall 2.0 isn't about choosing between human creativity and machine efficiency—it's about using each where they excel.
The enterprises can keep their SAFe certifications and their PI planning sessions. While they're in meeting number 47 about their definition of 'done,' we'll have shipped, gathered feedback, and iterated twice.
Remember my Microsoft story? They didn't win by making the most sophisticated OS—they won by making one that normal people could actually use.
That's what Waterfall 2.0 does for software development. You don't need to understand story points or velocity charts. You need working software that grows your business. We use AI to handle the complexity so you can focus on what you do best—running your company.
Experience seamless communication with advanced natural language processing that understands context and delivers precise, actionable responses for enhanced productivity.
Unlock powerful analytics and intelligent recommendations that help you make informed decisions, optimize workflows, and achieve better outcomes faster.
Automate complex tasks with intelligent agents that can handle multi-step processes, collaborate with other systems, and adapt to your specific business needs.