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Accountable AI Software

AI software you can audit.

Netricd Studio builds products where every automated decision is auditable and a human keeps the final call — because software that decides on its own has to be able to explain itself.

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01 End-to-End

From concept and design to launch and long-term support.

02 In-House Craft

Code, design and infrastructure built by our own team — no shortcuts.

03 Multi-Platform

Products designed for Android, iOS, the web and the cloud.

04 Tracked Support

Open a ticket any time and follow it with a tracking code.

What we do

Capabilities, refined.

These are the pieces a Launch Sprint draws from — all built in house, none of it subcontracted.

Mobile Apps

Native-feeling Android and iOS apps from a single codebase — offline-first when the product needs it.

Android & iOSOffline-first

Web Platforms

Fast, accessible web products — from a landing page to a full dashboard with authentication and roles.

DashboardsAuth & Roles

AI Integration

Assistants, document understanding and automation wired into real products — with evaluation, guardrails and a cost ceiling.

Applied AIEvaluation

Custom Software

Internal tools and line-of-business systems shaped around how your team actually works, not around a template.

Internal ToolsIntegrations

Cloud & Backend

APIs, databases, authentication and delivery — set up so the thing keeps running once we hand it over.

APIs & AuthManaged Cloud

Technology Consulting

Architecture reviews, tooling decisions and technical strategy for teams building digital products.

ArchitectureStrategy
How to work with us

From idea to launched in 4–6 weeks

Fixed scope, fixed price, fixed deadline — and the source code is yours at the end.

Discovery US$900 1–2 weeks
Launch Sprint from US$6,500 4–6 weeks
Support from US$750/mo monthly
See what’s included
Products

What we build.

Products we own end to end — the decisions, the craft and the technology behind each one.

In-house product Waitlist open

InsightFlow AI

Supplier invoice auditing that catches overcharges and duplicate invoices before they get paid.

An AI agent investigates every anomaly and proposes what to do — but nothing that affects your business runs without your approval. It is the clearest example of how we build with AI: the database does the arithmetic, the model handles context, and a person keeps the final call.

How it works

  1. You upload the invoice as a PDF, or your own system sends it through the API.
  2. Every price is compared against that supplier's real purchase history.
  3. The agent investigates the context whenever something breaks the pattern.
  4. It writes the report on its own; anything with consequences waits for your approval.

What it catches today

  • Price variation above a configurable threshold
  • Duplicate invoices
  • Uncertain extraction — a poorly scanned or incomplete document

Autonomy levels live in the code, not in the prompt. Most AI billing tools are black boxes: they act first and tell you afterwards. Here every tool the agent can reach carries a fixed risk level — only low-risk actions run on their own, everything else waits for a human, and each decision is written to an auditable log along with its reasoning. The model cannot grant itself permissions it was not given.

Join the waitlist How we work with AI

Also built by us

Our own consumer products — proof of how we take an idea all the way to a shipped app.

The Mérito app showing a daily study plan and weighted mock exams

Mérito

An admission-exam prep app for public and private universities in Peru — a question bank for all ten subjects, mock exams weighted like the real thing, and an AI tutor. No ads on any plan, by design.

2026 Android
Final testing stage
The Becaya app listing scholarships grouped by how soon they close

Becaya

Scholarships and volunteering opportunities sorted by when you can actually apply, each one verified against its official source. Offline-first, no ads, no personal data collected.

2026 Android · Web
Coming to Google Play

More in the pipeline. We're preparing the next case studies — if you want to know what we're building right now, just ask.

Get in touch
Who we are

Accountable AI,
by design

Netricd Studio was founded on one conviction: as software starts making decisions on its own, being able to explain and overrule those decisions matters more than making them faster.

So we build the accountability into the architecture, not into the prompt. What the automation decided, why it decided it, and what it was ever allowed to do — all of it is legible, and anything with real consequences waits for a person.

Auditability Every automated decision leaves a trail you can read
Human authority Nothing with real consequences runs unapproved
Reliability Products engineered to last and to scale
Work with us
ApproachHuman-in-the-loop
FocusApps · Web · Applied AI
DeliveryEnd-to-End
ReachWorldwide
Ecosystem

Our technology.

We work with proven, industry-standard tools and ship to the platforms our clients' users actually are.

Google Play
App Store
Android
iOS
Web
Cloud
AI practice

How we work with AI.

Adding a model to a product is the easy part. Making it reliable, affordable and safe enough to put in front of real users is the work — this is how we do it.

01

Discovery & scoping

We start by finding where AI actually changes the outcome — and where a database query, a rule or better UX would do the job faster and cheaper. Every candidate use case gets a success metric before a single line of code is written. If we can't define how we'd know it worked, we don't build it.

02

Model selection & benchmarking

We evaluate candidate models against your data, not public leaderboards. Quality, latency and cost per operation get measured side by side, and the smallest model that clears the bar wins. Being provider-agnostic is deliberate: it keeps switching cheap when prices or capabilities change.

03

Integration & architecture

The model becomes one component among many — behind a typed interface, with timeouts, retries with backoff, caching for repeated work and a deterministic fallback for when the provider is slow or down. The product has to keep working even when the model doesn't.

04

Guardrails & evaluation

Output is validated before it reaches anyone: schema checks, grounding against your own sources so answers can be traced, and explicit refusal paths for questions the system shouldn't answer. We keep a regression suite of real cases, so tweaking a prompt can't silently break what already worked.

05

Monitoring & iteration

Once live we track quality, latency and spend per feature, with alerts on all three. Real usage decides what gets improved next — and occasionally it tells us to take the model out and replace it with something simpler. We treat that as a good outcome, not a failure.

Data boundaries are explicit

Before anything ships we write down which fields leave your infrastructure, which provider sees them and for how long — so the answer is on paper, not in someone's head.

A human where it counts

For decisions with consequences, the system proposes and a person confirms. That review step is designed in from the start — not bolted on after an incident.

A ceiling on cost

Every AI feature ships with a measured cost per operation and hard limits, so an integration can't quietly turn into an unpredictable monthly bill.

It fails gracefully

If the provider errors, rate-limits or returns something unusable, the product falls back to defined behaviour instead of showing your users a broken screen.

We'll also tell you when not to use it. Plenty of problems that get pitched as AI problems are really data, process or interface problems, and solving them that way is cheaper, faster and easier to maintain. Saying so is part of the job.

Trust

Commitments, not claims.

Everything below can be verified by opening the product. We'd rather promise less and have it hold up.

No advertising, on any plan

Not a launch promotion we might reverse later — a product decision made before the first line of code, including on the free tier.

Mérito · Becaya
Your data is never training data

We pick providers and settings where your content isn't used to train models, and we document exactly what leaves your infrastructure and what never does.

InsightFlow AI
Autonomy limits live in the code

The agent cannot grant itself permissions. Each tool carries a fixed risk level enforced in the codebase, not written into a prompt the model could talk its way around.

InsightFlow AI
Every decision is logged

Each action the agent takes is written to an auditable log along with the reasoning behind it, so you can reconstruct why something was flagged months later.

InsightFlow AI
Works with no connection, and no account

The catalogue is stored on the device. An account is optional and only syncs what you saved — we collect no personal data to make the app work.

Becaya
Checked against the official source

Every listing is verified against its official announcement before it goes live, and we keep a record of when each one was checked.

Becaya

What our first users say.

We're running the first pilots right now. As soon as they give us permission, their words go here — with their real name and company.

Nothing to show here yet, and that's on purpose. We won't publish a testimonial we didn't receive. If you work with us during the pilot phase, yours could be the first one on this page.

Become a pilot
FAQ

Questions, answered.

Netricd Studio builds accountable AI software — products where every automated decision can be traced back to what triggered it, and nothing with real consequences runs without a person approving it. We work end to end: concept, design, engineering and long-term support, with everything built in house.

Six core services: mobile apps, web platforms, AI integration, custom software, cloud and backend, and technology consulting. That covers everything from a single landing page to a full product with its backend and app, plus architecture reviews and technical strategy for teams that already have something in flight.

Android and iOS through Google Play and the App Store, plus the web — which runs anywhere a modern browser does. Backends run on managed cloud infrastructure, so there is no server for you to maintain.

We work with proven, industry-standard tools and pick the stack to fit the product — not the other way round. Cross-platform for mobile when it saves time without costing quality, managed cloud infrastructure for backends, and applied AI where it genuinely improves the product. We're happy to walk through the specifics with you directly once we know what you're building.

Use the contact form below or write directly to contacto@netricdstudio.com. Tell us what you want to build, any deadline you're working against and the platforms you care about — the more concrete the brief, the more precise our answer.

Open a ticket from the Support Center and you'll get a tracking code for your request. Keep that code — it's how you and our team follow the same thread. The support center is open at any hour.

No. The contact form and the support center both work without signing in. Creating an account — with Google, an email address, or as a guest — simply fills your name and email in for you so you don't retype them on every request.

The data you send through our forms is used to answer your request, nothing else. The details are in our Privacy Policy and Cookie Policy, and the cookie banner lets you keep only the essential cookies if you prefer.

Through our complaints book (Libro de Reclamaciones). As required by Peruvian consumer law, you'll receive a tracking code and a response within a maximum of 15 business days, sent to the email address you provide.

We are always looking for talent. Reach out through our Support Center or send your portfolio to contacto@netricdstudio.com — include links to shipped work or a repository where we can see how you build.

Contact

Let's talk.

Have a project in mind? Write to us and we'll get back to you shortly.

Email contacto@netricdstudio.com
WhatsApp Reach us by direct message
Support Center Open a ticket, any time