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Custom builds, scoped to fit

Tools and automation, built for the team you have.

Custom dashboards, integrations, AI agents, and workflow automation that bigger consultancies overlook and product vendors don’t ship. Apple-aware. Compliance-aware. Designed to be handed off, not held hostage.

dashboard

Custom internal tools

The Challenge

Reporting lives in spreadsheets nobody trusts. Operations teams build half-broken dashboards in Notion. Engineers waste cycles answering “what’s our number right now?”

Our Approach

Custom dashboards and ops tools built with a modern stack (Python, TypeScript, deployed on Cloudflare or Vercel). Connected to your real data sources, hosted under your domain, with auth tied to your existing identity provider.

The Outcome

A reliable single source of truth for the metrics your team actually decides on. Documented, owned by your team after handoff, no vendor lock-in.

Space Black MacBook Pro showing a custom internal dashboard with KPI tiles, a trend chart, and a data table
Space Black MacBook Pro showing a workflow diagram of connected systems, with an iPhone 18 Pro on a stand receiving a notification
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Workflow automation & integrations

The Challenge

Order intake, support routing, compliance evidence collection, inventory reconciliation, all done by humans copy-pasting between systems. Errors creep in, things fall through the cracks, the team burns out.

Our Approach

Connect your tools (Shopify, Klaviyo, QuickBooks, Slack, Jamf or Mosyle, M365, Google Workspace) so data flows automatically. Cron jobs, webhooks, and Zapier or Make where they fit; custom code where they don’t.

The Outcome

Manual work disappears. Your team focuses on the parts that need human judgment. Auditable logs of every automated action.

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AI agents & assistants

The Challenge

Repetitive cognitive work like sales follow-up drafts, support ticket triage, content review, and contract clause extraction eats team capacity. Generic AI tools either over-promise or leak data.

Our Approach

Task-specific agents built on Claude or GPT with proper guardrails, evals, and human-in-loop checkpoints where they matter. MCP servers for company-specific data. Onboarding for engineering teams to use Claude Code, Cursor, and Copilot effectively.

The Outcome

Specific jobs get done by AI under your supervision. Your team leans on tools they trust instead of generic chat nobody verifies.

Engineer at a Space Black MacBook Pro with a code editor and an AI assistant panel side by side, AirPods Pro case on the desk
iPad Pro in a folio and iPhone 18 Pro standing on a desk beside a face-down document, a governed and reviewed AI deployment
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Compliance-aware AI deployment

The Challenge

Legal wants AI banned. Engineering wants it now. Auditors want a paper trail. Nobody has a defensible policy. Apple Intelligence is rolling out and nobody knows which features to allow on regulated devices.

Our Approach

AI tool acceptable-use policies with MDM-enforced DLP, approved-tool catalogs, audit logs of who used what, and NIST/HIPAA control mapping for AI usage. Apple Intelligence rollout playbook with Private Cloud Compute decision matrices for compliance-sensitive work.

The Outcome

Your team uses AI safely. Auditors get the evidence. Legal stops blocking. Apple Intelligence gets enabled where it’s safe and gated where it isn’t.

Tools we have built

Real tools, running for real businesses.

Clients anonymized. Each one shipped with documentation and runs without us in the loop.

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Lead intake with spam control

A concrete coatings contractor

Quote form on a static site posting to an edge function: honeypot, phone validation, content checks, a lead database, SMS-consent capture, and an office email for every real lead. Bots stopped reaching the estimator.

monitoring

Site health monitor

An e-commerce retailer

Twice-daily checks across orders, catalog, Search Console, and session analytics. It only sends a message when something changed, so the owner reads every alert.

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SEO operations platform

An e-commerce retailer

Search Console performance, thin pages, redirects, internal-link suggestions, competitor and AI-visibility tracking, and approved changes pushed straight to the store.

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Supplier catalog pipeline

An e-commerce retailer

Scrapers for five supplier brands normalized into store products, with image handling and variant mapping. New season, one command, instead of a week of copy and paste.

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Margins and P&L dashboard

An e-commerce retailer

Order-level margin with ad attribution, so the owner sees which products and channels actually make money before the accountant does.

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Bid tracker inside Microsoft 365

A specialty contractor

Solicitations arriving by email flow into a tracked list with status, due dates, and duplicate protection. Built on Power Automate and SharePoint the client already pays for.

How we build

Built handed off, not held hostage.

Every build is shipped with documentation, deployment scripts, and runbooks. Your team can take it over the day we hand it off, or keep us on retainer for iteration.

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Modern stack, no surprises

Python, TypeScript, Cloudflare Workers, Vercel, Postgres, SQLite. Boring tools that work, deployed where you can read the bill.

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Apple-aware identity & security

SSO via Okta or Entra, signed binaries, MDM-deployable apps, fleet-aware access controls. AI work that respects the security posture we already built for you.

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Same engineer, end to end

No offshoring, no junior swaps mid-project. The person scoping the build is the person writing the code.

Pricing

Fixed-scope quote per build.

Most builds run as fixed-scope, fixed-timeline engagements. Recurring iteration billed monthly when it makes sense. Pricing is custom-quoted to scope, complexity, and timeline. The cheapest version of any of these is one quote and one conversation away.

Discuss a build arrow_forward

Got a tool that should exist?

Book a 15-minute discovery call. Tell us what your team is doing manually, what your dashboards don’t show, or what AI work you want to do safely. We’ll tell you, plainly, whether it’s a fit.