About / Founded 1994 · Incorporated 1999
Three decades of business-software judgment. Today's AI development speed.
We've been translating business problems into working software since 1994, and incorporated in 1999. Not a new AI shop that discovered business software last year — the quoting tools, scheduling systems, integrations, and internal apps that never win design awards and never stop being used. Software should fit the business, not the other way around.
The evolution
Custom business software
Systems built around how a company actually operates.
Integrations & workflow
Connecting ERP, accounting, and vendor systems; routing approvals and data.
AI-assisted development
Unstructured input became workable, and proving an idea got dramatically cheaper.
Agentic business systems
Events trigger coordinated agents inside rules you set, with approvals and audit trails.
AI multiplied our leverage; it didn’t create our expertise. Each stage was built on the one before it — and all of it still starts with the same question: what is this business actually trying to get done?
What that experience buys you
- We’ve seen your process before, in a different industry, under a different name. That’s why scoping is a short, direct exercise rather than a long discovery project.
- We know which parts of a workflow should stay manual. Automating a judgment call is how projects fail.
- We’ve maintained our own systems for a decade or more, so we build things that can be handed over, changed, and lived with.
Timeline
1994 – 1999
Founded, then incorporated
Started building custom internal software in 1994 and incorporated in 1999. Databases, quoting tools, and data capture for companies whose work never fit the packaged products of the era.
2000 – 2011
Line-of-business systems
Custom internal software for manufacturers, energy, real estate, and service firms — quoting, scheduling, inventory, quality, field data capture. The unglamorous systems companies run on.
2012 – 2018
Integration and the web
Connecting ERPs, accounting platforms, and vendor systems that were never designed to talk. Moving desktop-bound tools onto the web so the people doing the work could reach them.
2019 – 2023
Data and process automation
Consolidated reporting, workflow automation, approval routing. The years that taught us most problems aren't technical — they're the handoffs between people and systems.
2024 – 2025
AI-enabled custom software
Language models made unstructured input — documents, email, free text, messy human descriptions — something software can finally handle reliably. A whole category of process became worth automating.
2026 – now
Agentic-first operations
Once a company's systems and data are honest, events in the business can trigger coordinated agents that act across ERP, accounting, and CRM directly — inside rules the client writes, with approvals, escalation, and a full audit trail. This is where we think business software is heading, and it only works on top of the unglamorous groundwork.
What we believe, in four sentences.
The one underneath all of them: software should fit the business, not the other way around. That belief is why we think the era of humans operating screens, forms, and modules is starting to fade — and why we fix the mess first, before anything runs itself.
Software should fit the business
Not the other way around. Reshaping a company to suit a product it pays for is backwards.
Boring is a feature
Reliable, legible, maintainable software beats clever software every single time.
AI is a capability, not the business case
We lead with the business outcome — where money leaks, where work stalls — and use AI where it earns its place in the answer.
You should own what you paid for
Source code, data, documentation. No hostage-taking.
The next step
Find the profit gap worth fixing first.
Start with a short conversation about where work is getting stuck, money is leaking, or growth is constrained. We'll tell you whether there is something worth diagnosing — and we won't prescribe software before we understand the business.