QUERENCIA
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Built for field veterinarians

QUERENCIA

Early avian outbreak intelligence for veterinarians.

Querencia helps field vets capture observations, triage disease risk, and escalate outbreaks without exposing farms.

The platform turns confidential veterinary reports and official signals into disease briefs, regional risk views, and network response workflows.

Live surveillance layer

Regional views combine verified veterinary input and official sources into a privacy-safe avian intelligence surface.

Verified field vetsNo farm exposureOfficial + field signals
Open avian regional layer

Farm identities stay private. Public-facing context remains aggregated and policy-controlled.

Why veterinarians need this

Avian outbreaks are first recognized in the field, but veterinarians often work with fragmented escalation, weak decision support, and privacy-sensitive reporting paths.

1
Fragmented escalation

Important observations start in calls, notes, or spreadsheets instead of a structured surveillance workflow.

2
Too little context

A field signal needs disease context, regional context, and confidence state before a network can act on it.

3
Privacy friction

Farm-level exposure makes people hesitate. Regional aggregation preserves confidentiality while still surfacing risk.

Vet workflow

The product is organized around one field-ready loop: report, review, regionalize, and respond.

How signals move
  1. 1A verified veterinarian submits a confidential avian signal with field evidence.
  2. 2The system places the report in disease context and keeps source confidence visible.
  3. 3Regional aggregation and review protect farm identity while surfacing risk.
  4. 4The network receives prioritized alerts, briefs, and weekly follow-up outputs.
Biotech intelligence

Querencia combines field evidence, disease-specific reasoning, regional aggregation, and outbreak trend modeling into one veterinary surveillance loop.

Field evidence in context

Reports capture observed disease, evidence summary, case estimate, and region so the signal is useful immediately.

Disease-specific reasoning

Avian disease briefs translate clinical and epidemiological knowledge into practical triage support for veterinarians.

Regional risk modeling

Signals are aggregated to regions and mapped into a surveillance layer that highlights where activity is intensifying.

Response-ready outputs

The same signal can feed briefs, alerts, trend views, and weekly summaries for veterinary networks.

Live product proof

The demo stays focused on three connected surfaces: report intake, disease intelligence, and network response.

Confidential report intake

A veterinarian can submit an avian signal with evidence, region, and case estimate in one field-ready workflow.

Open report flow
Disease intelligence briefs

Disease pages combine practical guidance, surveillance framing, and regional context for avian conditions.

Open disease briefs
Network response demo

Dashboards and response boards show how field reports become risk views, alerts, and follow-up coordination.

Open live demo
Why it matters

The goal is earlier escalation, safer sharing, and faster veterinary coordination when avian disease risk begins to move.

Earlier escalation

Field observations become structured signals faster, so veterinary networks can react before spread widens.

Safer sharing

Regional aggregation protects farm identity while still allowing shared surveillance and response planning.

Stronger response

The same platform supports clinicians, network leads, and operational reviewers without splitting the workflow.

Buenos Aires

high
Official: 39Vet: 24
58

Entre Rios

medium
Official: 9Vet: 14
26

Chaco

high
Official: 20Vet: 9
23

Misiones

high
Official: 4Vet: 4
10