LATAM meteorological intelligence

Hyper-local weather intelligence for critical LATAM operations

x8flow fuses satellite, radar and ground-station data into a 5×5 km grid across South America — 40 years of reanalysis and sub-seasonal forecasts out to 7 months, delivered through a single enterprise API.

/ live grid · south america
—— ——streaming
10N010S20S30S40S50SBRASILCOLOMBIAVENEZUELAGUYANASECUADORPERUBOLIVIAPARAGUAYCHILEARGENTINAURUGUAYGRUBSBMAOLIMSCLEZEBOGCCSASUMVDLPBUIO
mm/h
0824+
cell
5 × 5 km
Precip.
1.2mm/h
Wind
5.7m/s
Temp
24.2°C
01
5×5 km
Spatial resolution
02
40 years
Historical reanalysis
03
7 months
S2S forecast horizon
01/ enterprise tracks

Direct-to-market global tracks

High-margin applications where atmospheric resolution becomes trading alpha, underwriting precision and logistics advantage.

Predictive Alpha

Front-run supply shocks 7 months ahead of market consensus

Sub-seasonal signals for commodity and energy trading desks operating in soft commodities, hydro spot pricing and freight risk.

Request desk API access
  • 7-month subseasonal signals on soft commodity yields (soy, coffee, sugar) and hydro spot pricing (PLD).
  • Low-latency high-frequency API streaming directly into quantitative risk engines.
  • Exclusive data-tier licensing to preserve market-moving value.
Delivered via REST, streaming, Snowflake, S3 and private exchange gateways.
02/ the platform

One meteorological engine, four enterprise capabilities

Built for teams that make capital-intensive decisions against the atmosphere. Every number is traceable to its source model and validation set.

5×5 km grid

  • Satellite + radar + 4,800 ground stations fused per cell
  • Hourly refresh, 15-minute nowcast for storm cells
  • Elevation-aware downscaling for Andean and coastal microclimates
/ observed vs forecast rainfall (mm)mm
ERA5 + x8flow downscaling · Minas Gerais basin
/ s2s skill score by lead time0–1
Hindcast 2015–2025 · anomaly correlation
03/ interactive data

Scrub the atmosphere, from reanalysis to forecast

Move the time scrubber across the analysis window and the 5×5 km grid, the station series and every readout update together — same variable, same timestamp, same units.

Variable
Ground station
Valid time (UTC)
—— ——
Lead time
0h
Reanalysis
Reanalysis · -72hnowForecast · +240h
/ live grid · south america
1970-01-01 00:00ZReanalysis
10N010S20S30S40S50SBRASILCOLOMBIAVENEZUELAGUYANASECUADORPERUBOLIVIAPARAGUAYCHILEARGENTINAURUGUAYGRUBSBMAOLIMSCLEZEBOGCCSASUMVDLPBUIO
mm/h
0824+
cell
5 × 5 km
Precip.
1.2mm/h
Wind
5.7m/s
Temp
24.2°C
Station time series · GRU São PauloPrecipitation · mm/h
ERA5 reanalysis + x8flow downscaling · hourly steps · 12 LATAM stations
All variables at cursor · GRU · —— ——
Value at cursor
1.2mm/h
Confidence band
Reanalysis
Ground station
GRUSão Paulo
04/ industries

Purpose-built for weather-exposed P&L

Dispatch and hedge against the atmosphere, not against averages

Hydro inflow, wind and solar generation forecasts at plant resolution, plus storm-outage risk for transmission corridors.

Discuss energy & utilities use cases
imbalance penalties
-18%
inflow forecast skill
+31%
earlier outage alerts
6 h
05/ why x8flow

Global models stop where LATAM complexity begins

Amazon convection, Andean orography and coastal jets are averaged away at 25 km. We resolve them.

Comparison of x8flow with global weather providers and legacy station data
Capabilityx8flowGlobal providersLegacy station data
Spatial resolution5×5 km, elevation-aware25–50 km gridStation points only
Historical depth40 years, hourly10–20 years, dailyFragmented archives
Forecast horizonNowcast to 7 monthsUp to 14 daysUp to 7 days
LATAM calibrationLocal stations + radarGlobal model, no bias fixPartial
DeliveryAPI, streaming, warehouseCSV / portalPortal
Enterprise SLA99.95% + support in PT/ES/ENBest effortNone
06/ tiers

Three tiers, one grid — compare the measurable difference

Every tier runs on the same 5×5 km engine. What changes is horizon, coverage and the depth of provenance you can hand to an auditor.

Grid
From $4.5K/ month
Single-country teams
Enterprise-grade performance
Forecast horizon
14 days
Update cadence
Hourly
API latency (p95)
800 ms
Uptime SLA
99.5%
Support response
1 business day
Coverage & resolution
Spatial resolution
5×5 km
Geographic scope
1 country
Variables
12 core
Ground stations ingested
1,200
Delivery channels
REST API
Data provenance & audit
Reanalysis depth
5 years, hourly
Lineage per data point
Source list
Verification scores
Monthly summary
Hindcast validation
Sample region
Compliance artefacts
DPA
Talk to sales
EnterpriseMost deployed
From $18K/ month
LATAM portfolios
Enterprise-grade performance
Forecast horizon
7 months (S2S)
Update cadence
15 minutes
API latency (p95)
180 ms
Uptime SLA
99.95%
Support response
1 hour, named meteorologist
Coverage & resolution
Spatial resolution
5×5 km, elevation-aware
Geographic scope
13 LATAM countries
Variables
48 incl. ensembles
Ground stations ingested
8,400
Delivery channels
API, streaming, Snowflake, S3
Data provenance & audit
Reanalysis depth
40 years, hourly
Lineage per data point
Full source + model version
Verification scores
Per-cell skill, published
Hindcast validation
Against your own records
Compliance artefacts
DPA, LGPD records, SOC-aligned
Talk to sales
Sovereign
Customannual
Utilities & agencies
Enterprise-grade performance
Forecast horizon
7 months + custom runs
Update cadence
5 minutes, dedicated queue
API latency (p95)
90 ms, in-region
Uptime SLA
99.99% + penalties
Support response
15 minutes, 24/7 on-call
Coverage & resolution
Spatial resolution
1×1 km on priority zones
Geographic scope
LATAM + custom domains
Variables
Unlimited, modelled on request
Ground stations ingested
8,400 + your own sensors
Delivery channels
On-prem or in-country
Data provenance & audit
Reanalysis depth
40 years + rescued archives
Lineage per data point
Signed, immutable lineage
Verification scores
Independent third-party audit
Hindcast validation
Contractual accuracy targets
Compliance artefacts
Sovereign review, attestations
Talk to sales
07/ roi model

Size the value of resolution

An indicative model based on observed client outcomes. Your validation workshop replaces these assumptions with your own operational data.

$250M
35%
900
120K
3 months

Model: exposed revenue × sector recovery factor (1.4%–2.6% observed) minus indicative platform licence. Directional only, not a commercial offer.

Weather-exposed revenue$87.5M
Estimated annual cost savings$1.4M
Loss-risk reduction18%
Indicative platform licence$309K
Net annual impact$1.1M
Payback period
2.6months
Return multiple
4.6×
Validate with our team
08/ enterprise demo

See your assets on the 5×5 km grid

Send us a portfolio or a bounding box. We return a live grid view, hindcast validation against your own records and a scoped integration plan.

  • contato@x8flow.com.br
    Commercial and technical enquiries
  • Enterprise onboarding
    Security review, DPA and SLA included
  • São Paulo · serving all LATAM
    Support in Portuguese, Spanish and English

We use your details only to respond to this request.