Service · Enterprise AI Implementation
From a pretty POC to AI running 24/7.
Many AI projects never reach production. We build the platform, governance, IoT and culture you need for your AI to live in the everyday business.
Summary
Tribucorp implements enterprise AI from POC to production in Chile and LATAM. We cover the 6 critical pillars: data governance, MLOps, infrastructure and platform (Dell, NVIDIA, Canonical), IoT · automation · home automation, observability and enterprise security — including evaluations and guardrails for agents built with NVIDIA NIM. First case operating in 3–4 months. Mature platform with multiple cases in 9–12 months.
6 pillars
The 6 pillars that make AI survive in production.
Skipping any one of them guarantees the project dies within 6 months. This is how we run every implementation.
Data governance
Classification, lineage, access policies and regulatory compliance support (e.g. GDPR, HIPAA, Chile’s Law 21.719). Without governance, AI breaks in production.
- Data catalog + lineage
- Granular access control
- PII/PHI classification
- Exportable audit trail
MLOps & CI/CD
Reproducible pipelines on Charmed Kubeflow, feature stores, model registries and blue/green deployment. Scheduled, automated retraining.
- Charmed Kubeflow
- MLflow / DVC
- Model Registry
- Blue/green deploy
Infrastructure & platform
Design and operation of the full stack: Dell + NVIDIA servers and GPUs, with Ubuntu Pro and Canonical Kubernetes as the operating system and orchestration layer, provisioned on bare metal with MAAS.
- Dell PowerEdge / NVIDIA DGX
- Ubuntu Pro
- Canonical Kubernetes
- MAAS bare-metal
IoT · Automation · Home Automation
Devices, sensors, edge computing and digital twins for factories, buildings, water networks and residential home automation.
- LoRa / Mesh / Matter
- NVIDIA Jetson edge
- PLC + SCADA
- Building Digital Twin
Observability & drift
Continuous monitoring of latency, cost, quality and data drift. For agents built with NVIDIA NIM in production, we add evaluations and guardrails before and after each deployment.
- Prometheus + Grafana
- Evidently AI
- Agent evaluations
- SLO-based alerts
Security & compliance
Zero-trust, encryption in transit and at rest, prompt injection defense and auditable logs for compliance.
- Zero-trust architecture
- Prompt injection defense
- Encryption at rest/transit
- Immutable audit logs
The full stack
From silicon to agent, with a partner program at every layer.
Most AI projects stall between layers: the hardware does not fit the platform, the model never reaches production. We answer for the entire stack.
- 05
Product
23 in-house verticals in production.
The same stack runs our own companies: health, water, agriculture, construction, media and more. What we implement for you is already proven at home.
Med-IAAGUA.AIUGrowContratista Online - 04
Language models
Claude across your teams, adopted the right way.
We support your organization in adopting Claude: Claude for your business teams, Claude Code for your engineering teams, and access via the Claude API or the Amazon Bedrock and Google Vertex AI clouds, with best practices and usage governance from day one.
ClaudeClaude CodeClaude APIAmazon BedrockGoogle Vertex AIWhere we apply it: Business teams · Development teams
Claude Partner Network
- 03
Platform
Ubuntu and Kubernetes with enterprise support.
The operating system and orchestration layer AI runs on: Ubuntu Pro with long-term security patching, Canonical Kubernetes and Charmed Kubeflow for MLOps, provisioned on bare metal with MAAS.
Ubuntu ProCanonical KubernetesCharmed KubeflowMAASJujuLandscapeWhere we apply it: On-prem GPU clusters · MLOps · Industrial edge
Canonical Partner
- 02
Acceleration & agents
GPU compute and agents built with NIM and Nemotron.
RTX and DGX GPUs with NVIDIA AI Enterprise: we build agents with NIM inference microservices on top of the open Nemotron models, training with NeMo and real-time vision with Metropolis, from Jetson at the edge to the cluster.
DGXAI EnterpriseNIMNemotronNeMoMetropolisJetsonWhere we apply it: AgroDrones · AGUA.AI · Boorie · JustAI
NVIDIA Partner Network (NPN)
- 01
Hardware
Servers, storage and workstations for AI.
We design, deploy and support the physical foundation: from a Precision workstation for a data team to PowerEdge racks with PowerScale storage for continuous training.
PowerEdgePowerScalePrecision RTXAPEXProSupportWhere we apply it: XpandU · Med-IA · On-prem deployments
Dell Partner Services
IoT · Automation · Home Automation
From sensor to data center — industrial IoT and home automation integrated with AI.
AI is useless without timely data. We deploy industrial sensor networks, edge computing with NVIDIA Jetson, and residential and hospitality home automation platforms — all connected to the same AI layer that powers AGUA.AI, AgroDrones and Contratista Online.
- LoRa / Mesh / Zigbee / Matter networks
- Industrial automation (PLC + SCADA)
- Residential and hospitality home automation
- NVIDIA Jetson edge computing
- Building/plant Digital Twin
- Integration with Agua.AI and Contratista Online platforms
Maturity model
Where is your company on the adoption curve?
5 maturity levels. Identify your current position and the path to move up.
- Level 1Exploration
The team experiments with tools (ChatGPT, Claude). No governance or measurement.
20% - Level 2Isolated POCs
Scattered pilots across departments. No shared data or models. Shadow-IT risk.
40% - Level 3AI platform
Shared infrastructure, functioning MLOps, first production case with ROI measurement.
65% - Level 4Integrated AI
Multiple cases in production, mature governance, in-house team capable of maintaining and extending it.
85% - Level 5Strategic AI
AI reconfigures entire business models. Tribucorp walks with you all the way here.
100%
Frequently asked questions
Questions we get before the first demo.
What if my company has no clean data or ML team?
That’s the most common starting point. We start with a data audit, build the governance layer, and train your team in parallel with the first production case. You don’t need a pre-existing ML team — we build it.
How do you calculate the ROI of an AI project?
We agree on business KPIs before starting (hours saved, error reduction, conversion lift). We measure baseline and delta quarterly. If the ROI isn’t there, we iterate or stop.
Do you deploy in the cloud or on-prem?
Depends on the case. For healthcare, banking and government we favor on-prem with Dell PowerEdge + NVIDIA DGX on Ubuntu Pro and Canonical Kubernetes. For less sensitive cases we use hybrid, including Claude via Amazon Bedrock or Google Vertex AI.
What does the platform run on — why Canonical?
Ubuntu Pro with long-term security patching, Canonical Kubernetes for orchestration and Charmed Kubeflow for MLOps, all provisioned on bare metal with MAAS. It’s not a coincidence: NVIDIA DGX OS, the operating system on DGX systems, is Ubuntu-based — the stack is already aligned.
Do you also implement IoT, automation and home automation?
Yes. We integrate LoRa/Mesh/Matter sensors, industrial PLC+SCADA and home automation platforms with our AI layer. AGUA.AI runs on this infrastructure. We also do edge computing with NVIDIA Jetson for local, low-latency compute.
What’s the difference between Tribucorp and a traditional consultancy?
We operate 23 in-house AI products (Med-IA, AGUA.AI, Boorie, JustAI, XpandU, TAAS, Refracta, Alchemist, Wize IA, among others). When we implement AI for you it isn’t theory — we give you the same patterns that run in our own verticals. Our teams keep AI running in production every day.
How long does it take to implement serious AI at a company?
First production case in 3–4 months. Mature platform with 3–5 cases operating in 9–12 months. Depends on data complexity, regulation and internal decision speed.
How do you take agents built with NVIDIA NIM to production, not just a demo?
With automated evaluations before every deployment, guardrails on the agent’s actions, and continuous observability of quality and cost once in production — the same rigor we apply to any model, open or closed.
Get your AI maturity diagnostic in 60 minutes.
We assess the 6 pillars at your company and hand you a prioritized roadmap. No cost, no commitment, no sales pitch.