Frequently asked questions
Everything you need to know
If you can't find what you're looking for, email us at contacto@vidra-ia.com and we'll reply within 24 h.
What does Vidra do?
Vidra is an artificial intelligence company founded in 2026 specialising in the construction and industrial sectors. We build machine learning models, modular AI platforms, and agentic pipelines that run in real production — not prototypes. Our active projects include ComPres (cost estimator using LSTM+CatBoost), Area Hub (a modular AI management platform), and the Tender Radar (autonomous opportunity detection with Gemini AI).
What services do you offer?
We offer four service lines:
Predictive ML models: estimation and forecasting with LSTM, CatBoost, and LightGBM, deployed as REST APIs with confidence intervals.
Agentic pipelines: autonomous multi-agent workflows using Gemini AI for detection, analysis, and scoring.
RAG and chatbots: chatbots built on the client's own documentation using pgvector, hybrid search, and OpenAI.
Modular AI platforms: extensible management hubs built with React, Vite, FastAPI, Docker, and Electron.
Which sectors do you work with?
Primarily construction and industry. Our current clients are Argenia and Area Construcción, both in the construction sector. This specialisation gives us deep familiarity with sector-specific data, processes, and challenges.
Do you build prototypes or production systems?
Production systems only. We don't build POCs or demos with no path to deployment. Our models are delivered as APIs with confidence intervals; our agents run autonomously on real weekly cycles. If you're looking for a pure exploratory prototype with no deployment commitment, we're probably not the right fit.
What technologies do you use?
Predictive ML: LSTM, CatBoost, LightGBM.
Agentic pipelines: Gemini AI (multi-agent).
RAG and chatbots: pgvector, hybrid search, OpenAI.
Platforms: React, Vite, FastAPI, PostgreSQL, Docker, Electron.
Our API backends run on FastAPI and models are deployed on dedicated servers or within the client's environment.
How much does a project cost?
All projects are fixed-scope and bespoke — the cost depends on the scope, available data, and required level of integration. We don't publish standard pricing because we don't have off-the-shelf products. To receive a proposal, use the contact form at vidra-ia.com or email us at contacto@vidra-ia.com.
How long does a typical project take?
It depends on scope. A predictive ML model with data already available can reach production in 6–10 weeks (exploration, training, validation, deployment). A full modular platform takes several months. We provide a detailed timeline breakdown as part of the proposal.
What does working with Vidra look like?
The process has four phases:
Data exploration and problem definition.
Model or system development and training.
Validation against real client data with measurable metrics.
Production deployment and integration with existing systems.
We work iteratively and maintain direct communication with the client's technical team.
How many people are on the team?
We are 9 people with backgrounds in ML engineering, fullstack development, design, and business. The technical team includes AI engineers specialising in predictive models, agentic workflows, RAG, and modular platforms.
How can I contact Vidra?
You can use the contact form at vidra-ia.com or email us directly at contacto@vidra-ia.com. We're also on LinkedIn at linkedin.com/company/vidra-ia. We reply within 24 hours on business days.