Our team has a storied history of developing complex software products that provide sustainable business agility while also solving difficult problems.
When we say “business agility,” we mean designing software that encapsulates change and sets your company or product up for scalable growth.
We expect to uncover new insights along the way, so we architect solutions that quickly adapt.
Engineering the Future with AI
When combined with disciplined software engineering, artificial intelligence (AI) opens doors to ideas that were once considered too costly or uncertain. We provide the human judgment, proven practices, and foresight needed to bring AI’s power to the next generation of software products.
ENGINEERING
AI Platform Infrastructure Design
AI-Driven Code Assistants (Copilot, Cursor, Claude Code)
Agent Orchestration & Fabric Design
API-First AI Integration
Cloud-Native AI Solutions
Continuous AI Delivery
Intelligent Automation & Workflows
Model Context Protocol (MCP)
Scalable AI Architecture & Deployment
CAPABILITIES
Computer Vision & Image Recognition
Enterprise Search and Information Retrieval
Machine Learning and Deep Learning
Natural Language Processing (NLP)
Predictive Analytics & Forecasting
Recommendation & Personalization Systems
APPLIED EXPERIENCE
AI-Powered Product & UX Design
Anthropic Claude / OpenAI APIs
Conversational AI (Chatbots, Virtual Assistants)
Large Language Models (LLMs)
Rapid AI Prototyping & Experimentation
GOVERNANCE & TRUST
AI Security & AI Moderation
Human-Centered AI Product Development
Model Explainability & Transparency
Responsible Data Governance
How we do it
Crucible of Learning
The experience gained from the numerous products we have undertaken through the years has shaped our approach to new products and startups. We have utilized this knowledge to refine our problem-solving methods and discover the most effective strategies.
Always have a plan
Contrary to some popular beliefs, you can be innovative when you have a plan. The right kind of plan increases agility, enables you to react appropriately to change, and maximizes your efforts within the constraints of your project.
Design for Change
Requirements will consistently change in form and in priority, so we use iterative/Agile approaches for development and releases. It is also why we design our systems to allow for change to occur.
AI with PURPOSE
AI is not a silver bullet. But when engineering discipline is coupled with AI, it accelerates development and enhances user experiences. We integrate AI to create efficiencies and delight to ensure solutions are sustainable and scalable.
Layered approach to quality
There is no one software practice that will find every defect. That is why we employ a layered approach to quality that includes automated unit/integration testing, code reviews, pair programming, etc.
Individual Accountability
Hierarchy and bureaucracy are rarely beneficial in creative endeavors, which is why we promote accountability and decision-making at both the individual and team levels.
Proven Patterns & Designs
Few problems require novel solutions. That is why we strive to adopt proven patterns and designs whenever possible. We develop from first principles when absolutely necessary.
A Galaxy of Know-How
In a universe of possibilities, we envision solutions that connect the right technologies and processes to bring your vision to life.
EXPERTISE
Agriculture
Artificial Intelligence
Banking & Insurance
Computer Vision
E-Commerce
Education
Government
HIPAA
IoT
Mobile
SaaS
Security
Social
PROCESSES
Detail Design
Funability
Project Design
Rapid Prototyping of UI/UX
Service-Oriented Design
SOLID Design Principles
Software Engineering Body of Knowledge (SWEBOK)
Test-Driven Development
Volatility-Based Decomposition
TECHNOLOGIES
Amazon Web Services (AWS)
Angular
ASP.NET
Bootstrap
Computer Vision
Electron
Ionic
Kotlin
Machine Learning
Microsoft Azure
Microsoft .NET / C#
Microsoft SQL Server
MongoDB
Node
On-Premise Hosting
PostgreSQL
React
Swift
TypeScript
Vue
WinForms
WPF
15 Years of Better Software
We were purpose-built to accelerate and reduce the risk of software product startups. Our belief that good software design is essential for product stability and extensibility has been proven time and again.
A lot has changed since we were founded in 2010, including significant advancements in AI. However, one thing has NOT changed: the benefit of having the right values and processes in place.
While “moving fast and breaking things” has been a popular approach in our industry, it accumulates large amounts of technical debt, slows future development, and leads to expensive and time-consuming rework.
Martin Fowler’s “Design Stamina Hypothesis” provides a compelling argument for the benefits of prioritizing good design. He introduces the concept of a “design payoff line,” where the advantages of good design become apparent as a project progresses. Having this consistent design identity ensures your software product will grow and adapt alongside your startup or organization.
In other words, projects that prioritize design not only maintain consistent productivity but eventually outperform those that do not. And with AI now used in concert with disciplined engineering, this payoff comes into focus even sooner, provided the foundation is strong.
