Software and growth agency
Custom software, and the demand to fill it.
We build SaaS products, web applications and data platforms — and run the campaigns that bring them customers. One house for what gets built and what makes it grow.
What we do
Four lines of work. Most clients start with one and add the next once the first is returning numbers.
Custom software
The systems your operation already needs
Internal applications, integrations and automation for the processes currently living in spreadsheets and WhatsApp threads. We start at the most expensive bottleneck, not the most visible one.
- Internal systems and dashboards
- Integrations between tools that don't talk
- Automation of manual processes
SaaS products
From idea to a product that charges
Design, build and launch of subscription products: authentication, payments, an admin panel, and the analytics to know whether anyone is actually using it.
- A working MVP, not a throwaway prototype
- Subscriptions, billing and roles
- Usage metrics from day one
Web apps and sites
Fast, measurable, built to convert
Sites and web applications with real performance: they load fast, they rank, and they're instrumented so every peso of ad spend can be traced to an outcome.
- Next.js and React, server-rendered
- Per-campaign landing pages
- Conversion tracking wired in
Google Ads and digital marketing
Demand you can measure
Search and remarketing campaigns run against business goals rather than clicks. We report cost per qualified lead — and when the number doesn't work, we say so.
- Google Ads: search, remarketing, Performance Max
- Landing pages and A/B testing
- Cost-per-lead reporting, not impressions
MLOps · AI Ops
The specialty: MLOps and AI Ops
Most AI projects don't fail at the model. They fail at everything after it: the data that shifts, the deployment nobody can reproduce, the cost nobody is watching.
Notebook to production
Models that run outside someone's laptop: packaged, versioned, and deployable by anyone on the team.
Reproducible pipelines
Automated training, evaluation and deployment, with data and code versioned together so a result can be reproduced six months later.
Observability and drift
Data-quality and model-drift monitoring, with alerts that arrive before the customer complaint does.
Cost under control
Inference measured and budgeted. Local models where they make sense, APIs where they're worth paying for.
How we work
1. Diagnosis
One call and a review of what you already have. You leave with a written scope and a price range, not a twenty-page proposal.
2. Something shipped in weeks
Working software in your hands early, even if it's one slice. Projects that take months to show anything are the ones that get cancelled.
3. Measure, then continue
We instrument what we ship. If the number doesn't improve, we change the plan instead of defending it.
Tell us about the project
We reply within one business day. If we're not the right fit, we'll say so and point you at who is.