We design, build, and secure production-grade platforms, automations, and infrastructure — for teams moving from idea to launch with technical discipline. A studio, not an agency; we ship, operate, and keep improving after the demo.
Auth events, payment flows, matching logic, audit trails, and operational tooling connected under one engineering standard.
Labs designed, shipped, or in active development
Live marketplace operating in Peru
Auth endpoints mapped for modular platforms
Typical first response for qualified projects
Three practices, one team. We take responsibility for the architecture, the build, and the operating system around it — so shipping something real is the expected outcome, not the exception.
Build product-grade software where models, data flows, permissions, and operations are designed as one system.
Threat modeling, auth hardening, audit trails, dependency review, and risk prioritization for production systems.
Reduce manual work with document intake, approvals, reporting, handoffs, and model-backed decision support.
Labs are proof of execution — marketplaces, auth infrastructure, finance tools, operational software — built with the same standards we bring to client work. Each one started as a problem we saw in the market.
Resuelvelo.pe turns the Arkaim operating model into a live product: AI-assisted matching, verified providers, service categories, secure payments, and production workflows for the Peruvian home-services market.
Marketplace connecting homeowners in Peru with verified professionals for home services — plumbing, electrical, cleaning, moving, painting, and more.
Practice management software for independent professionals in Peru, combining public scheduling, payments, WhatsApp reminders, encrypted records, SUNAT receipts, and an AI assistant.
Complete Auth-as-a-Service platform with 200+ API endpoints, 10 toggleable modules, and developer-focused design. From prototype to production in minutes.
Comprehensive personal finance platform with budget planning, multi-currency support (CLP/USD/UF), transaction tracking, savings monitoring, and interactive charts.
Streamlined quoting and invoicing for freelancers and SMBs with live PDF preview, automatic Chilean tax handling, client management, and a modern dark-themed interface.
A proven process that eliminates guesswork and delivers results on time, every time.
We map the workflow, data sources, failure points, and decision owners before proposing what to automate.
We define model boundaries, data contracts, product flows, and risk controls before writing production code.
We build the interface, APIs, queues, tests, and observability needed to validate behavior before release.
We deploy, monitor drift and incidents, review logs, and keep improving the system after real usage starts.
Start with the shape of the problem. Each path points to a practical first conversation, not a generic pitch.
MVPs, internal platforms, marketplaces, portals, and full-stack systems.
Input: idea, repo, or workflow Start with this → 02 Secure a systemThreat modeling, auth hardening, audit trails, and security reviews.
Input: architecture or access model Start with this → 03 Automate operationsDocument intake, approvals, reporting, handoffs, and manual process reduction.
Input: process, files, or rules Start with this → 04 Integrate AIRetrieval, classification, recommendations, review queues, and model-backed product logic.
Input: data, product, or use case Start with this →AI-enabled software, security-sensitive platforms, internal automation, marketplaces, auth infrastructure, and systems where reliability matters after launch.
Yes. We often begin with an architecture review, identify the highest-impact AI or security opportunities, and ship improvements incrementally.
For qualified projects, we usually respond within 24 hours and can outline a practical first build path within 48 hours of receiving context.
Yes. We can operate, monitor, harden, and keep improving the systems we ship, especially where AI behavior, security, and production reliability matter.
No need for a finished scope. Send the context; we turn it into a technical path.
Send the context — a workflow, a product, a mess you inherited. We'll come back with a practical technical path: what to build first, where AI helps, and what should stay simple. Usually within 48 hours.
