AI that solves real problems Not pretty demos.
We build production AI systems on Dell + NVIDIA: multi-agent systems, enterprise RAG, computer vision, digital twins and predictive ML. From a POC in 3 weeks to 24/7 operation.
Tribucorp builds custom production AI systems: LLMs with RAG, anti-hallucination multi-agent systems, computer vision on NVIDIA Metropolis, digital twins and predictive ML. We work with clients in healthcare, water, construction, agtech and media from Chile across LATAM. We deliver a POC in 2–4 weeks and operate Dell + NVIDIA infrastructure on-prem or hybrid with enterprise SLAs.
The full modern AI stack, operated in production.
We choose the technique based on the problem, not the other way around. Every vertical in the group combines several capabilities — these are the ones you'll find working with us.
LLMs & Generative AI
Fine-tuned language models, enterprise RAG and multi-agent systems with proprietary context.
Computer Vision
Medical segmentation, agricultural detection, real-time video analysis with NVIDIA Metropolis.
Digital Twins
Digital twins of operations to simulate, predict and optimize — Agua.AI saves up to 42% of non-revenue water.
Multi-Agent Systems
Agent systems that cross-check each other (anti-hallucination) for critical domains like healthcare and compliance.
Voice & Audio AI
STT, TTS, voice cloning and AI-driven music generation.
Predictive ML
Predictive models for crop yield estimation, anomaly detection and financial scoring.
The group's verticals are our best portfolio.
Every in-house AI product we operate is proof of what we can build for you.
From the first conversation to AI running 24/7.
Discovery
We understand your domain, data and constraints. We define success in business metrics, not model metrics.
Rapid prototype
We build a working POC in 2–4 weeks with real data — no demos with synthetic data.
User validation
The team that will use the AI validates it before moving to production. We iterate until it is genuinely useful.
Productionization
Scalable architecture on Dell + NVIDIA, MLOps, observability, SLAs and internal team training.
Continuous operation
Drift monitoring, scheduled retraining and model evolution alongside the business.
What people ask before signing.
How long until I have a working POC?
Do you work with on-premise or cloud data?
Which AI models do you use — OpenAI, Claude, proprietary models?
Do you offer an accuracy guarantee?
Do you train our internal team?
How much does an AI project cost?
Got a concrete problem that AI can solve?
30 minutes of conversation is enough to know if it makes sense. We bring a technical team — not salespeople.