Which allied pharmacy is buying less from you each month, and you haven't noticed?
UNANSWERED
QUARKS · ESSENTIAL 137
The layer where your business lives.
The invariant of your business.
137Quarks Decision Infrastructure
Fragmented dataone source of truth
Metrics connectedto real decisions
Business contextready for AI
Every decisionexplainable and traceable
One central layerfor the entire operation
Complex questionsclear answers
Fragmented dataone source of truth
Metrics connectedto real decisions
Business contextready for AI
Every decisionexplainable and traceable
One central layerfor the entire operation
Complex questionsclear answers
THE PROBLEM
You don't have a data problem. You have a question worth millions that no one can answer.
Which big customer is about to stop buying from you, and why?
Which SKU runs out of stock this week?
UNANSWERED
Which patient is about to drop their treatment?
UNANSWERED
Which part of your portfolio matures this quarter, and you don't know it?
UNANSWERED
Sales says customerFinance says tax IDLogistics says account
Three systems. Three names. The same customer. Zero connection.
The problem isn't any of those questions. It's that your business doesn't live in a single model where everything connects. That's why none of them get answered.
WHAT ESSENTIAL 137 IS
Essential 137 is the layer where your entire business speaks the same language.
It takes your fragmented systems and organizes them into a single model with meaning. The same customer, the same product, the same operation, understood the same way across the whole company. For the first time, your business can answer itself.
HOW IT IS BUILT
From raw data to decision.
Your raw data enters in layers, gets cleaned, becomes ready to decide, and on that base your business answers itself.
DIAGRAMA_MEDALLION · horizontal · Fuentes → Bronce → Plata → Oro → Decisión, con banda "Ontología" sobre Oro · aspect ratio 21:9 desktop, apilado vertical en mobile
On top of Gold: star model for BI, context for ML and agents.
LIVE
QUESTION
Which SKU runs out of stock this week?
ESSENTIAL 137
DECISION
Urgent restock: 3 critical SKUs at COBECA Caracas.
VIDEO_ENVIVO_DASHBOARD · 16:9 · screen recording anonimizado de dashboard BI respondiendo "que SKU quiebra" · 20 a 30s · mudo · loop
The same question that used to die unanswered. Now it has an answer, and an action.
FOR THE TECHNICAL BUYER
Architecture, layers and governance.
HOW IT WORKS
A Quarks engineer. Inside your team.
We don't hand you software to configure. A Quarks engineer embeds in your operation, builds your Essential 137 starting from your most expensive problem, and leaves it running.
01
Bootcamp 137
2 weeks, with your team and your data
02
Roadmap
the plan for your Essential, prioritized by your most expensive problem
03
Deployment
8 to 12 weeks, inside your operation
04
Living core
your business answers itself
05
Expansion
more problems, more value
START HERE · BOOTCAMP 137
Bring us your most expensive problem.
In two weeks we work it with your own data and your people in the room. You leave with a roadmap that proves the value of Essential on your business, not on a demo. If you move to deployment, the Bootcamp is credited.
You don't rent an engineer. You gain the one who builds the core where your business lives.
We do not work with everyone. Only with those who have a problem worth the deployment.
WHAT YOU GAIN
What you gain when your business lives in the core.
Shared operational memory
One model for customers, products, orders, inventory, events and decisions.
EXAMPLE:
The same customer has a single ID across sales, finance and logistics.
Governed decision logic
Rules, permissions, metrics and workflows structured into the operation.
EXAMPLE:
"Customer at risk" means the same thing for the whole team, and it is versioned.
AI-ready context
Agents and applications understand the business because the business has been modeled.
EXAMPLE:
An agent answers "which SKU is running out" because it understands your inventory, not just your tables.
Reusable foundation
The same Essential layer powers dashboards, workflows, APIs and Quarks applications.
EXAMPLE:
The next dashboard or model is built in days, not months.
And on top of it, you build:
- DASHBOARDS
- AGENTS
- ML
- WORKFLOWS
- PRODUCTS
- APIS
USE CASES
What Essential 137 makes possible.
Illustrative scenarios by sector. The same core, different problems worth money.
PHARMAREAL CASE
The distributor that turns its data into a product
The distributor turns its data into a recommender it sells to its partners.
RETAILILLUSTRATIVE
The retailer that anticipates the stock-out
Replenish before the stockout. The sale you used to lose, no longer.
BANKINGILLUSTRATIVE
The bank that sees default before it happens
Early signals of deterioration. Intervention before default.
HEALTHILLUSTRATIVE
The clinic that retains the patient about to drop out
Early detection of dropout. Better adherence, fewer relapses.
PRUEBA_COBECA · métrica o cita de cliente, pendiente de sign-off
YOUR BUSINESS, IN REAL TIME
One place where your business lives.
Every tool that helps you operate and generates data, yours or Quarks, lives in Essential. Each one you add makes your business reflect with more fidelity, so you decide better.
LOOP_FLYWHEEL_DIAGRAM · 4 step cycle: You add a tool (yours or Quarks) → Its data flows into Essential → Essential reflects the business live → You decide better → and it loops, accelerating · center: "Your business, in real time"
TOOLS THAT CAN LIVE IN THE CORE
- TRACE
- QIDA
- AURA
- YOUR CRM
- YOUR ERP
- YOUR WMS
- YOUR POS
No standalone system competes with the whole business, live.
BUILT FOR LATAM
Built for regulated environments. Not retrofitted.
- Banking
SUDEBAN and OFAC compliance, PII protection and data residency.
- Health
Clinical audit trails, patient data governance and controlled access.
- Pharma
Channel intelligence across fragmented systems: product, inventory, price and demand.
- Retail & CPG
Supply chain visibility and cross-functional commercial execution.
RBAC, encryption, traceability and audit as foundations, not add-ons.
TALK TO A PARTNER
Bring us your most expensive problem.
Every Quarks engagement starts with a conversation with a senior partner. You decide if your problem is worth the deployment.
- NO FORMS
- NO BOTS
- NO SALES FILTERS
ENTRY POINT
Enter with Bootcamp 137
Two weeks with our team deployed inside your operation. We map your data ontology and leave with a roadmap that proves the value of Essential on your own data.
2 weeks · qualified seats
Qualified entry. Limited seats per quarter.
Caracas · Miami · San José · Bogotá
08 / ESSENTIAL IN DETAIL
Essential in detail
Essential is the ontology layer of Quarks Data: the foundational system that unifies a company's fragmented data into a single business model with meaning. It ingests information from ERPs, POS, clinical systems, banking cores and IoT, and turns it into a structure where business concepts, rules and decisions are made explicit, versioned and interpretable by AI agents. It is the base on which Trace, Qida and Aura operate.
Essential is designed for operators in regulated, volatile and operationally complex Latin American markets: pharmaceutical distributors and labs, financial institutions, healthcare networks and consumer goods companies. It is for organizations whose systems do not talk to each other, whose reports arrive late, and whose critical decisions still live in spreadsheets.
Essential works in three moves. First it ingests and governs source data with native compliance for regulators such as SUDEBAN, OFAC and health authorities. Second, it models that data into an Ontology specific to the client's domain, where concepts like key customer, critical SKU or acceptable exposure are defined in a versioned and auditable way. Third, it deploys AI agents that reason over those explicit rules instead of hallucinating. A Quarks engineer builds it inside the client's operation, starting from their most expensive problem.
Essential solves the root problem of most Latin American companies: they operate blind to their own data because their systems are disconnected. By unifying information in a single semantic layer, it turns scattered data into actionable decisions and enables AI automation that was previously impossible due to the lack of a reliable model. Its anchor case is a pharma Ontology deployed with a top-3 distributor in Venezuela.