Proving the Mission

[ SHOWCASE ] Proving the Mission

Our mission is to forecast the coupled world so that free societies can foresee risk and secure a bright future. Each project below validates a critical technical component — satellite data fusion (MJOLNuR), model serving infrastructure (Cortex), and cross-domain forecasting (SideCast).

initial wedge: defense/government pilots (AFTAC relationships + cleared/on-prem readiness), then expansion into adjacent commercial verticals.

The Instruments
DATA FUSION & ATMOSPHERICS

MJOLNuR: Satellite Data Fusion

Phase I SBIR validating our multi-source satellite data fusion and real-time atmospheric modeling. The digital twin technology for nuclear plumes directly informs how we'll model any atmospheric phenomenon in DeepLoom.

status: DTRA SBIR Phase I

next: Advance to follow-on work and expand the digital twin capability

partner: Defense Threat Reduction Agency

MODEL SERVING & DEPLOYMENT

Cortex: Model Infrastructure

Production-ready model serving platform proving our ability to deploy AI systems at scale with monitoring, APIs, and authentication. This infrastructure will power DeepLoom in production.

status: Open-source release

next: Grow adoption and harden enterprise deployment patterns

partner: Open Source Community

CROSS-DOMAIN PREDICTION

SideCast: Multi-Domain Forecasting

Adaptive ML system for dependent-variable contexts (weather, agriculture, economics) directly addressing the multi-domain prediction challenges central to DeepLoom.

status: Research partnership

next: Publish results and integrate learnings into DeepLoom training

partner: National Science Foundation (Partner)

From Mission to Vision

our vision: Predict Everything. our mission: Forecast the coupled world, so that the institutions of free societies can foresee risk, compete productively, and secure a bright future for our species.

QUESTIONS DEEPLOOM IS BUILT TO ANSWER
  • 14d: ERCOT reserve margin <5% risk (P10/P50/P90) + price spikes during heat events
  • 90d: drought → crop shortfall → staple inflation → instability risk (hotspots + lead times)
  • 6–8w: Mississippi low-water risk cutting barge throughput >30% + downstream price dislocations

ask them on weavecast →

FAQ

aulendur:~$ cat /faq — 4 entries

What is MJOLNuR?

MJOLNuR is a nuclear plume detection system being developed by Aulendur Labs under a DTRA SBIR Phase I contract. MJOLNuR validates Aulendur's multi-source satellite data fusion and real-time atmospheric modeling capabilities. The digital twin technology for nuclear plumes directly informs how DeepLoom will model atmospheric phenomena at planetary scale.

What is Cortex?

Cortex is Aulendur Labs' open-source, production-ready model serving platform. Cortex proves Aulendur's ability to deploy AI systems at scale with monitoring, APIs, and authentication. Cortex is the infrastructure that will power DeepLoom in production and is available as open-source software under the Apache-2.0 license on GitHub.

What is SideCast?

SideCast is an adaptive machine learning system developed through Aulendur Labs' research partnership with the National Science Foundation (NSF). SideCast addresses multi-domain prediction challenges for dependent-variable contexts including weather, agriculture, and economics — directly advancing the cross-domain forecasting capabilities central to DeepLoom.

What government agencies does Aulendur Labs work with?

Aulendur Labs works with the Defense Threat Reduction Agency (DTRA) through the MJOLNuR SBIR contract, and partners with the National Science Foundation (NSF) on the SideCast research project. Aulendur Labs has established relationships with AFTAC (Air Force Technical Applications Center) and maintains TS/SCI-cleared personnel for secure government deployments.