Builders, not consultants
No 80-page decks. No advisory layers between you and the people writing the code. Our engineers talk directly to your stakeholders. Decisions happen fast because the people making them are the ones doing the work.
EST. 2014 · ENTERPRISE AI & COMMERCE
We Build Systems & Processes that Helps You Scale
We build AI and commerce systems for companies who would rather get it right the first time.
Book a CallTrusted by teams at
Partstown
Waitwhile
ForwardFlow
Aidium
GetDandy
WrenchAI
What we do
Four practices.
One standard.
Every engagement starts with your business outcome and works backward to the architecture. Not the other way around.
1. Practice
2. Practice
3. Practice
4. Practice
Data & AI
Practical. Intelligent. Quantifiable.
Your data already holds the answers. We build the systems that surface them: demand forecasting, inventory intelligence, recommendation engines, predictive analytics.
Scaling Retail & Commerce
Growth. Reliability. Performance.
Platform migrations, performance engineering, headless re-architecture. We help commerce teams scale infrastructure to match ambition without breaking what already works.
CRM & CDP
Unified. Intelligent. Actionable.
Disconnected customer data costs you sales you never see. We unify CRM and CDP into a single intelligent layer so every team sees the same customer and acts at the right moment.
Startup Product Engineering
Modern. Purpose-built. Disruptive.
Enterprise-grade engineering discipline at startup speed. We take products from zero to one with clean architecture, CI/CD from day one, and infrastructure that will not need rebuilding at Series B.
Selected work
Systems our clients
run their business on.
Not prototypes. Not proofs of concept. These are live, load-bearing systems serving real customers and real revenue.
Parts Town
Product Engineering
Distribution
- Problem
- Slow release cycles and handoff bottlenecks across a complex e-commerce stack.
- Solution
- 7-year embedded partnership spanning e-commerce, QA, DevOps, and micro-frontend architecture.
40%
Faster releases
20+
FTE Support
30%
Fewer handoff delays
DashProphet
Data
AI
- Problem
- Unused business data was difficult for non-technical teams to turn into predictive insight.
- Solution
- Built a secure analytics and insight-generation platform with scalable infrastructure and a simpler UI.
40%
Less processing time
99.99%
Uptime target
25%
Lower operating cost
Waitwhile
Product Engineering
Platform Scaling
- Problem
- A fast-growing queue management platform needed to scale beyond an early MVP.
- Solution
- Helped evolve the product into a scalable system that lets customers wait remotely and get notified by SMS.
2M+
Monthly hits
6x
More profitable
5x
Revenue growth
Daily AI
CRM
AI
- Problem
- Mortgage teams were slowed down by fragmented workflows and manual follow-up.
- Solution
- Built an AI-enhanced lender CRM that helps teams move faster, automate work, and close more deals.
8-fig
Valuation
AI
Automation layer
CRM
Workflow core
Our approach
How we show up.
Two principles guide every engagement. They are non-negotiable.
Your system should outlast our engagement
Clean documentation, sensible abstractions, no vendor lock-in. We build for the team that inherits the codebase after us.
From the people we build with
Voices from the field.
What our clients say after working with us. In their words, not ours.
“
DashProphet has a wide range of users now, and we've come so far from our initial version that was only suitable to veterans in data analytics.
“
NeoITO has been instrumental in bringing Reportifi.ai to life. Their expertise and dedication ensured a seamless development process.
“
Waitwhile has seen tremendous growth, scaling our revenues by 5X and tripling our number of paid customers.
10+
Years in IT Services
7+
Years with our longest client
200+
Projects
Before we talk
Common questions.
Answers to the things most teams ask before the first call.
We usually slot in alongside internal teams, taking ownership of a stream, platform area, or modernization track while your engineers stay close to the product and roadmap.
No. Most engagements start by reducing risk around the existing system, then replacing the highest-friction parts incrementally instead of forcing a big-bang rewrite.
Most projects begin with a small senior team and a tight scope, then scale up once we have clear architecture, priorities, and success metrics.
We document architecture decisions, keep abstractions boring, and build with your future maintainers in mind so ownership can move back to your team cleanly.
That is usually the right time. We can help identify the narrowest, highest-leverage AI use case before you invest in a larger platform effort.
