predict_everything()█
Forecast the coupled world, so that the institutions of free societies can foresee risk, compete productively, and secure a bright future for our species.
[ OUR VISION ] Predict Everything
See how one system moves another. Anticipate cascading crises before they manifest. Give humanity the foresight it has never had.
[ OUR MISSION ] Forecast the Coupled World
Forecast the coupled world, so that the institutions of free societies can foresee risk, compete productively, and secure a bright future for our species. DeepLoom and WeaveCast Platform are how we get there.
- Weather & Climate
- Agriculture & Water
- Atmosphere & Solar
- Supply Chains
- Energy Grids
- Transportation & Ports
- Commodities & Equities
- Geopolitical Risk
- Social & Sentiment
Crises don't respect silos. Weather, energy, food, markets, geopolitics, and security move together — but today's prediction systems don't. Teams spend most of their time on data plumbing instead of insight.
The tech finally exists. Planetary-scale GNNs (GraphCast-class), cloud-native array versioning, and modern multi-domain training strategies make cross-domain forecasting practical — for the first time.
Built to field in real environments. We have deep domain trust, cleared personnel, and on-prem readiness. Our path: pilots → programmatic adoption → broader commercial verticals.
One auth. Uniform schemas. Forecast layers.
A federated gateway → smart cache + versioning → DeepLoom forecasts as first-class API products. Query by region and horizon; receive auditable, multi-domain outputs. Even inject your own data and integrate new domains.
A planetary-scale model for cross-domain forecasting
DeepLoom is a heterogeneous graph neural network that unifies spatial nodes (planetary physics) with entity nodes (infrastructure and economics). It's designed to learn the interactions siloed models miss — producing auditable, multi-domain forecasts that anticipate cascading risk.
example: weather → energy → food → markets → security
Back the DeepLoom roadmap. We're early — but the technical thesis and wedge are clear. Let's talk pre-seed and pilots.
Pilot with us. Government, research, and industry partners — if your institution needs to foresee risk and compete productively, we should talk.
Join the talent network — if you want to build planetary-scale systems at the intersection of science, commerce, and national security.
Our vision is to Predict Everything. Our mission: forecast the coupled world so free societies can foresee risk and secure a bright future.
See how MJOLNuR, Cortex, and SideCast validate the technical components our mission requires — satellite fusion, model infrastructure, cross-domain forecasting.
Meet the defense veterans and scientists building the systems that will forecast the coupled world — revealing how one domain moves another.
aulendur:~$ cat /faq — 8 entries
What does Aulendur Labs do?
Aulendur Labs' vision is to Predict Everything. Its mission is to forecast the coupled world, so that the institutions of free societies can foresee risk, compete productively, and secure a bright future for our species. Aulendur builds DeepLoom, a planetary-scale AI model that unifies weather, markets, agriculture, energy, and logistics, and WeaveCast Platform, the federated intelligence gateway that makes DeepLoom forecasts accessible through a unified API.
What is DeepLoom?
DeepLoom is a heterogeneous graph neural network being developed by Aulendur Labs that unifies spatial nodes (planetary physics) with entity nodes (infrastructure and economics). DeepLoom is designed to learn the interactions that siloed models miss, producing auditable, multi-domain forecasts that anticipate cascading risk across weather, energy, food, markets, and security.
What is WeaveCast?
WeaveCast is Aulendur Labs' federated intelligence platform that provides one authentication layer, uniform schemas, and forecast layers via API. WeaveCast Platform turns DeepLoom forecasts into first-class API products that users can query by region and horizon, receiving auditable, multi-domain outputs.
Who founded Aulendur Labs?
Aulendur Labs was founded by Aaron Parker (CEO) and Jorden Gershenson (CTO). Both founders are defense veterans with over a decade of leadership experience and hold active TS/SCI security clearances. Together they are pursuing Aulendur's vision to Predict Everything. Aaron leads strategy and organizational transformation, while Jorden drives the technology roadmap across AI/ML research and scalable systems.
What industries does Aulendur Labs serve?
Aulendur Labs serves defense and intelligence agencies, energy companies, agricultural organizations, logistics providers, and financial institutions. Aulendur's initial wedge is defense and government through AFTAC relationships and on-premises deployment readiness, expanding to commercial verticals in energy, logistics, and markets.
How is Aulendur different from Palantir or other defense AI companies?
Aulendur Labs is building a fundamentally different product: a planetary-scale AI model (DeepLoom) that learns cross-domain interactions, not a data integration platform. While Palantir connects existing data sources, DeepLoom generates novel cross-domain forecasts that reveal how one system moves another — for example, how weather impacts energy, which impacts food prices, which impacts security.
Where is Aulendur Labs located?
Aulendur Labs is headquartered in Omaha, Nebraska. All team members hold active TS/SCI security clearances and have on-premises deployment readiness for secure government environments.
Is Aulendur Labs hiring?
Aulendur Labs is building a talent network for future positions. When roles open, they will be posted on the Aulendur Labs careers page. Interested candidates can submit their interest at [email protected] or through the website contact form.