Description
Cybertiks builds an Earth observation platform meant to answer questions about a range of phenomena, not just one industry. The company says the platform is not tied to a single satellite or sector and adapts to whatever a customer needs to monitor, which marks a shift from its earlier, narrower focus on satellite-based farm and soil analysis for agriculture.
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The platform brings together satellite imagery, ocean and atmospheric models, field sensors and operational records into a single layer of data, rather than treating each source as a separate feed a team has to reconcile by hand. It combines wind and current data into transport models that project where material is heading, not only where it has already been. An AI agent queries whichever sources a question requires, reasons across them, and produces a plain-language, actionable read while citing where each number came from, instead of leaving a user to interpret raw imagery or model output alone.
The current flagship use case is sargassum monitoring across the Caribbean. Cybertiks follows the seaweed from its origin in the Sargasso Sea, through westward transport across the Great Atlantic Sargassum Belt, to landfall forecasts for the Mexican Caribbean coast within a 72-hour window, using Lagrangian drift modeling built on public wind, current and wave data reported by monitoring stations. A daily read of transport indices covers onshore push, GASB transport and the outflow from the Sargasso Sea itself, station by station.
The company emphasizes visible provenance: every figure states which source it came from and which model calculated it, model assumptions such as the wind drag coefficient are shown rather than hidden, and the platform states what cannot be determined from available data rather than filling the gap with a guess. Cybertiks positions this auditable trail as evidence that can support a report, a claim or an accountability process, not just a dashboard view.
Cybertiks runs a public demo using live data, but there is no self-serve signup. Each account is configured after a meeting to define the areas of interest, alert cadence and data layers a customer needs, which fits operational teams such as coastal, tourism or environmental authorities rather than individual users signing up on their own.
- CategoryAI Data Analysis
- Pricing ModelFreemium
- DeploymentCloud
- PlatformsWeb
Cybertiks's Core Features
Combines satellite, ocean, atmospheric and field-sensor data in one platform
Physics-based transport modeling using wind and current data, not just imagery
An AI agent that queries relevant sources and produces a cited, actionable summary
Live sargassum monitoring from the Sargasso Sea to Caribbean landfall forecasts
72-hour landfall forecasts based on Lagrangian drift modeling
Source and model attribution shown for every reported figure
Visible model assumptions, including the wind drag coefficient used in forecasts
Public live demo available before an account is configured
How to use Cybertiks?
View the live demo: explore the public sargassum monitoring demo, which uses live data
Book a meeting: schedule a call to discuss the phenomenon your organization needs to watch
Configure your account: Cybertiks sets up areas of interest, alert cadence and data layers with you
Read the daily indices: check onshore push, landfall speed and transport indices for your region
Check the evidence: review the cited source and model behind a number before acting on it
Cybertiks's Use Cases
- Sargassum landfall forecasting
- Environmental monitoring dashboards
- Evidence for reports and claims
