Build. Automate.
Grow.

Full-stack product engineering: React and TypeScript front ends, Node, Python or .NET services, Postgres, and event-driven integrations between the systems that currently don't talk to each other.

Cloud architecture on AWS, Azure or GCP — infrastructure as code, CI/CD, observability and cost review baked in from the first sprint rather than bolted on after launch.

We are equally happy taking a greenfield product from whiteboard to launch, or inheriting a codebase someone else left behind and making it safe to change again.

Shopify and Shopify Plus builds, headless storefronts, WooCommerce migrations, and the unglamorous integration work — ERP, 3PL, tax, subscriptions, and payment flows — that determines whether a store actually scales.

We've driven hypergrowth for DTC brands and B2B catalogs alike: checkout optimization, merchandising logic, performance budgets, and analytics that attribute revenue accurately.

Every build ships with a measurement plan, so the roadmap after launch is argued from conversion data instead of opinions.

A test strategy that balances manual exploratory testing with automation where it pays back: Playwright or Cypress end-to-end suites, API contract tests, and regression packs wired into CI.

We define entry and exit criteria, triage severity honestly, and give you a defect trend you can show a board — not a spreadsheet of screenshots.

Cross-browser, device, accessibility and performance coverage included, so quality protects velocity instead of slowing it down.

We build AI that survives contact with production. Most engagements start with a retrieval-augmented (RAG) assistant grounded in your own documents, tickets or product catalog — then grow into the workflows around it: evaluation harnesses, guardrails, human review queues and cost controls.

Typical builds include internal copilots over Confluence and Zendesk, document extraction pipelines, product classification and enrichment for large catalogs, and forecasting models wired into the tools your team already uses.

In real estate we most often deploy this as transaction document extraction — pulling dates, parties and contingency deadlines out of purchase agreements and disclosure packets, then pushing them into the CRM and calendar automatically.

You get a working system in your stack — OpenAI, Anthropic or open-weight models on AWS Bedrock — with the eval numbers to prove it beats the manual process it replaces.

Putting AI to work inside the way your team already operates: choosing the right model for the job, connecting it to your documents and systems, and adding review steps before anything reaches a customer.

We start with one process where the time cost is obvious, measure the result against the manual baseline, then expand from there.

The repetitive handoffs between forms, inboxes, spreadsheets and your CRM, replaced with automated flows that run on their own and flag a person when something needs judgment.

CRM integrations, lead routing, document generation, scheduled reports and syncs between the tools you already pay for — documented so your team can own them.

Full-funnel strategy tied to pipeline, not impressions. Technical and content SEO, paid search and paid social, landing page systems, and lifecycle email that compounds instead of churning.

We start with an audit of what already converts, cut the spend that doesn't, and build a testing cadence you can run without us.

For real estate clients that usually means geo-farming campaigns tied to a specific set of ZIP codes and turnover data, listing launch sequences, and speed-to-lead routing so an inquiry gets a human reply in minutes.

Reporting is revenue-first: cost per qualified lead, contribution margin, and payback period — the numbers a founder or CFO will actually act on.

Always-on programs across Instagram, TikTok, LinkedIn and YouTube — built on a content engine with a real calendar, a hook library, and creator or UGC partnerships where they outperform brand-owned posts.

Paid social is managed alongside organic so creative learnings move in both directions, and audiences are retargeted through the same lifecycle flows as your email list.

The goal is repeat buyers and inbound conversations, measured against revenue — not follower counts.

Amazon, eBay and Walmart listing programs: keyword and category research, title and bullet optimization, A+ content, backend search terms, variation structures, and image sets that survive marketplace compliance review.

Ongoing management covers buy-box health, pricing and repricing rules, inventory and FBA feed hygiene, review velocity, and dispute handling when listings get suppressed or hijacked.

The same listing discipline applies to property inventory: syndication to Zillow, Realtor.com and brokerage feeds, with consistent media, remarks and status so a listing never goes stale across portals.

We treat marketplaces as a search channel with its own ranking algorithm — because that's exactly what they are.

Brand systems, messaging frameworks, product photography direction, short-form video, and the copy that carries all of it — produced against the channels it will actually run in.

We build reusable creative kits (templates, motion presets, tone-of-voice rules) so your in-house team can keep shipping between engagements.

Creative is tested like everything else: variants, holdouts, and a clear read on which concept moved the number.

We connect the tools you already pay for — CRM, Google and Meta ads, MLS exports, call tracking, QuickBooks — into one live view, so the numbers stop living in five tabs and a spreadsheet someone rebuilds every Monday.

Custom dashboards built around the decisions you actually make: cost per lead by source and farm area, listing-to-close conversion, agent performance across a brokerage, marketing spend against closed volume, and pipeline visibility for escrow and lending files.

Reporting is automated and scheduled — the manual export-and-format work disappears, and you get an honest read on what to fund next month.

Embedded senior product owners and delivery leads running Scrum or Kanban — whichever fits the work — with a backlog written in outcomes rather than tickets.

We handle discovery, roadmap sequencing, sprint planning, stakeholder communication, and the release rituals that keep a launch from becoming a fire drill.

If your team is shipping but can't say why, or planning but not shipping, this is usually the fastest intervention available.