Sample Projects

What we can build for you.

Representative projects that show how our partner teams approach real problems — the stack, the process, and the outcomes we target across AI, web, mobile, and Salesforce.

These are representative sample projects that illustrate our capabilities and approach — not claimed client engagements. As real projects complete, we'll publish named case studies with verified results (with client permission).

Financial Services · Sample build

A real-time analytics dashboard that turns hours of reporting into minutes

A sample build showing how we replace slow, manual reporting with a live Next.js dashboard on a streaming data pipeline.

Illustrative targets

~90%

Faster reporting

5→1

Systems unified

~6 wks

To first release

Next.jsTypeScriptPostgreSQLWebSocketsTableau

The problem

Finance teams often lose 8+ hours a week manually compiling reports from disconnected systems — slow, error-prone, and always slightly out of date.

How we'd build it

We'd embed a mid-level and senior partner pair to design a unified data model, build a streaming ingestion layer, and ship an interactive Next.js dashboard — all under weekly senior architecture review.

Outcome we target

Reporting that drops from hours to minutes, near-zero manual errors, and a single source of truth leadership can trust.

B2B SaaS · Sample build

A Gen AI support agent that can deflect the bulk of repetitive tickets

A sample RAG-powered support agent grounded in your docs and past tickets, deployed to a help center and Slack.

Illustrative targets

~60%

Tickets deflected

24/7

Coverage

~7 wks

To production

ClaudeRAGPythonVector DBSlack API

The problem

Lean support teams drown in repetitive tickets, and hiring more agents doesn't scale as the product grows.

How we'd build it

Our Gen AI partners would build a retrieval pipeline over your knowledge base, wrap Claude in tight guardrails, and integrate the agent into your existing tools with clean human handoff.

Outcome we target

A large share of routine tickets resolved autonomously with high CSAT, freeing your team for complex, high-value cases.

Consumer Tech · Sample build

A cross-platform marketplace app, built in a single quarter

A sample end-to-end build: a Flutter marketplace with payments, chat, and real-time listings — from empty repo to app stores.

Illustrative targets

1 Q

Idea to launch

2

App stores

iOS+Android

One codebase

FlutterFirebaseStripeNode

The problem

Non-technical founders often have a validated idea and funding but no engineering team and a hard investor deadline.

How we'd build it

A senior-led Flutter squad would own the full build — architecture, UI, payments, and backend — with the founder in a weekly demo loop the whole way.

Outcome we target

A launch-ready app on both stores, a maintainable codebase, and a team to grow with.

Manufacturing · Sample build

Salesforce + Agentforce automation that reclaims dozens of hours a week

A sample build streamlining a cluttered Salesforce org and adding an Agentforce agent for routine sales operations.

Illustrative targets

~30 hrs

Saved weekly

~3×

Faster quotes

Cleaner

Pipeline data

SalesforceApexLWCAgentforceData Cloud

The problem

Sales reps lose hours each week to manual data entry and quote generation inside aging, over-customized Salesforce orgs.

How we'd build it

Certified Salesforce partners would refactor the org's flows and Apex, then layer in an Agentforce agent to draft quotes and update records automatically.

Outcome we target

Dozens of hours reclaimed weekly, faster quote turnaround, and cleaner data across the pipeline.

Have something like this to build?

Tell us your goal and we'll scope it — often starting with a small, fixed-price trial sprint so you can see the quality before you commit.

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