Systems that hold under pressure
Custom software, data pipelines, and automation for teams dealing with compliance, fragmented tools, and tight timelines. Built to run in production, with clear ownership and audit trails.
Built from the inside
Film and cannabis are where we learned the work. That experience shapes every system we ship.
Film & Television Production
- Call sheets, budgets, and schedules out of sync
- Media assets drifting across vendors
- No real-time view of cost-to-complete
- Data locked in email threads and PDFs
Cannabis Operations
- Inventory data split across systems
- Audit prep turns into fire drills
- Manual batch tracking = errors
- Compliance reporting eats the week
What Owners Need Fixed
Less chaos, clearer numbers, and systems that hold under pressure.
Owner Pain
- closeNo single source of truth → decisions are delayed
- closeManual work stacks up → key people get stuck in ops
- closeData drifts across teams → reports don’t match reality
- closeCompliance and audits eat time → constant fire drills
- closeGrowth breaks the stack → outages and workarounds
Owner Outcomes
- checkUnified dashboards → fewer version conflicts
- checkRepeatable automation → fewer manual tasks
- checkCompliance tracking → audit prep is less chaotic
- checkModular architecture → growth doesn't require complete rebuilds
- checkFull ownership → source code and deployment stays yours
Built to reduce operational drag
Data pipelines, workflow automation, and interfaces operators actually use. Each system is built for reliability, handoff, and measurable impact.
How We Work
A tight process for shipping real systems, fast.
searchDiscovery & Audit
Map the workflow, data sources, and operational gaps that cost time.
1-2 weeksarchitectureDesign & Proposal
Define architecture, scope, and milestones. Fixed-price proposal.
1 weekcodeBuild & Iterate
Two-week sprints with live demos and fast adjustments.
4-12 weeksrocket_launchLaunch & Training
Deploy, document, and train teams for day-one adoption.
1-2 weeksbuildSupport & Improve
Post-launch fixes and upgrades based on real usage.
OngoingTypical timeline: 6-16 weeks from discovery to launch.
Data stories that reveal insight
Interactive visualizations designed to uncover patterns, test hypotheses, and turn complex datasets into actionable intelligence.
Chain Web Roots
One URL, many storefronts. A root-system view of shared web presence and centralization.
Capture Weather
Not all sites load the same way. A radar map of capture outcomes and request volume.
The Headline Ledger
What do stores promise first? A letterpress index of H1/H2 phrases across captured sites.
Checkout Fingerprints
A site’s network calls leave a signature. Trace the vendor DNA behind storefronts and checkouts.
Stack & Stars
Do storefront tech choices rhyme with public sentiment? Compare reviews and ratings across inferred commerce stacks.
Review Length Spectrum
Review text length vs rating revealing the "Negativity Bias."
Common Questions
Everything you need to know before we talk
Ready to clean up your data and ship real systems?Tell us the workflow. We'll map the pipeline, the automation, and the UI that makes it usable.