Build software that works.

Ship apps people actually use.

Build software that works. Ship apps people actually use.

We design and build web apps, mobile apps, and custom software — end-to-end, from architecture to launch and beyond.

Typical response: 1 business day

Automation examples

See what's possible

Real scenarios we’ve built for teams like yours.

Sales
CRM
Lead Intake & Enrichment
INPUTS
Lead Form / Email
BUILT
Enrich
Route
CRM
RESULT
Support
OPS
Support Triage System
INPUTS
Support requests / Email
BUILT
Analyze
Tag
Route
RESULT
Finance
OPS
Invoice Processing Tool
INPUTS
Invoices / Email
BUILT
Extract
Match
ERP
RESULT
Sales
crm
Customer Portal
INPUTS
Client data / Order history
BUILT
Login
Dashboard
Self-service tools
RESULT
HR
ops
Recruiting Screening App
INPUTS
Resumes / Applications
BUILT
Score
Shortlist
Notify
RESULT
Supports
AI
In-App AI Assistant
INPUTS
Help docs / Support history
BUILT
Chat
assistant
Smart FAQ suggestions
RESULT

How we work

A process built for results

Clear milestones, constant communication, and zero hand-waving. Here’s how we get from idea to impact.

Step 01
Discovery & Success Criteria

We map your current process, identify bottlenecks, and define clear metrics for success

Step 02
Architecture & Data Access

We document data flow, choose the right stack, and plan integrations. No surprises down the road.

Step 03
Build + Test + Security Review

We build incrementally, test thoroughly, and review security at every stage. You see progress weekly.

Step 04
Launch + Monitor + Iterate

We go live confidently. We monitor performance, catch issues, and optimize based on real usage data.

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Our stack

GET STARTED

Let's talk about your project

Book a discovery call or send us a message. We’ll get back to you within one business day.

30 minutes to explore your project. No pitch, no pressure — just a focused conversation about what you’re building.

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FAQ

Common questions

Everything you need to know before we start working together.

Not exactly. ChatGPT Search can use multiple retrieval and crawling pathways rather than depending on a single index. Checking whether OpenAI’s OAI-SearchBot can crawl your site may help improve eligibility, but it isn’t the only factor, and it doesn’t guarantee inclusion.

AI shopping visibility can be influenced by machine-readable product information — schema markup, identifiers, availability status, pricing — especially when a system is comparing options. Structured data can help systems interpret this information, but it alone doesn’t guarantee a product will be cited or recommended.

As directional evidence that AI-referred shopping traffic can convert well, not as a guarantee. Shopify’s figures are platform-specific Q1 2026 data; Adobe’s compare AI-referred to non-AI traffic on U.S. retail sites in March 2026. Results vary by store, category, and time period, and shouldn’t be generalized as a promise for every store.

Small stores can still improve their chances, because advertising budget is not the only factor involved. Clear product data, crawl accessibility, relevant content, customer reviews, and independent references are all areas that smaller retailers can improve over time, regardless of budget.

Use the seven-step testing routine above — same prompts across multiple platforms, several phrasings, logged conditions, and repeated more than once before drawing conclusions. A single search isn’t a reliable test.

That’s exactly what our discovery process is for. We’ll help you identify the highest-impact opportunities based on time savings, error reduction, and strategic value.

A mention just names your store. A citation links to or attributes information to your site. A recommendation actively suggests your store as a fit for the shopper’s question. They’re related but distinct, and tracking them separately gives a clearer picture than treating “AI visibility” as one single yes/no outcome.