About AHLOS LLC

A DeepTech company built around a problem its founder has spent more than two decades working by hand.

The company

AHLOS LLC

AHLOS LLC is the company developing AHLOS, the Adaptive Humanitarian Logistics Optimization System (AHLOS), for decision-support architecture and logistics optimization in high-disruption environments. It was organized in the State of Illinois on 19 August 2026.

The company was formed to carry a single line of work forward: turning an operating discipline that experienced logisticians already execute under pressure — predict, prioritize, source, route, replenish, re-plan — into a rigorous, auditable technical system that holds up when the network does not.

Its market is business-to-government and business-to-NGO. Its technology is dual-use by design, addressing defense sustainment, emergency-management agencies, international humanitarian organizations and large public-health and logistics networks operating under intermittent conditions.

Company data

Legal entity
AHLOS LLC · Illinois LLC organized 19 August 2026
Location
Aurora, Illinois, USA
SAM.gov Unique Entity ID (UEI)
GVGXR1NYJEM9
CAGE code
pending
Business
Small business, self-funded
Registered NAICS codes
  1. 513210 — Software Publishers (primary)
  2. 541511 — Custom Computer Programming Services
  3. 541512 — Computer Systems Design Services
  4. 541614 — Process, Physical Distribution, and Logistics Consulting Services
  5. 541715 — Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Founder

Orlando de Jesús Navas Ortíz

Founder and Managing Member. More than two decades of logistics and supply-chain experience across warehousing, procurement, distribution and operations — including logistics responsibility inside an active armed-conflict mandate and base logistics during the acute phase of the COVID-19 response.

Orlando de Jesús Navas Ortíz on LinkedIn

The architecture of AHLOS takes the shape it does because of that background. Its six-function decision loop is a conceptual expression of the discipline the founder executed manually, under scarcity, disrupted access and surging demand, before any of it was written into software.

Those experiences informed the conceptual assumptions and workflow design behind AHLOS. Work at Cargill, the ICRC and Médecins Sans Frontières was not deployment of AHLOS and does not constitute software validation; the company does not present it as such.

Professional trajectory

2000–2015
Cargill de Venezuela

Fifteen years across distribution, logistics management, plant control and credit operations in high-volume food and agricultural supply chains.

2017–2018
International Committee of the Red Cross — Caracas

Logistics Responsible. Resupply, allocation and re-planning decisions inside an active armed-conflict mandate, under some of the most demanding operational standards in the sector.

2019–2020
XC2 Blue

Warehouse and distribution management.

2020
Médecins Sans Frontières

Base Logistician during the acute phase of the COVID-19 response — extreme scarcity, surging and unpredictable demand, and a global supply market seizing up simultaneously.

2021–2024
MoDo — Caracas

Warehouse and distribution management.

Current
WesternPost Group

Current work in outbound fulfillment and logistics in the United States.

2026
AHLOS LLC

Founded the company in Illinois to develop the AHLOS decision-support architecture.

Origin

The gap was never the supply. It was knowing where it already was.

AHLOS did not start as a research exercise. It started with a pattern observed across the founder's previous work: allocating scarce medical supplies during the acute phase of the COVID-19 response, and coordinating procurement, warehousing and distribution inside an active armed-conflict mandate and beyond it — and watching the same failure recur each time. Those observations informed the design concept; they were not deployments or software validation.

The item that ran out first was rarely the physical supply. It was a trustworthy, current, shared picture of what existed, where it sat, and how urgently it was needed somewhere else. More than two decades of accumulated experience predicting, prioritizing, sourcing, routing, replenishing and re-planning by hand made that pattern impossible to unsee.

That is the gap AHLOS LLC was organized in Illinois to close: not another inventory dashboard that assumes the network is intact, but a decision architecture built for the condition every one of those postings actually shared — degraded information, under real time pressure, with authority that stays human.

How we work

Operating principles

Anticipation over reaction

Systems should activate on predictive thresholds defined in advance, not once the crisis has already become self-evident.

Interoperability, not replacement

Data, protocols and formats that let information move between governments, NGOs and private operators — without demanding that anyone abandon their systems of record.

Local ownership

The system adapts to the context of each organization. It does not impose a single structure or displace existing local capability.

Accountability through data

The intended design keeps recommendations and outcomes measurable and auditable. A decision that cannot be reconstructed cannot be defended.

Honest technical claims

Development status, validation scope and known limitations are stated explicitly. We would rather be evaluated accurately than adopted on a misunderstanding.

Human authority

Policy, priorities, approval thresholds and prohibited actions remain human-governed inputs. The operator is accountable, so the operator decides.

Direction

What we are working toward

Near-term objectives, stated as objectives rather than as achievements.

  • 01Access to systems- and software-engineering capability the company does not yet hold in-house
  • 02Independent technical evaluation of the architecture and its decision model
  • 03University and research collaboration on prototype development and evaluation
  • 04Non-dilutive research funding pathways, including SBIR and STTR programs
  • 05A first shadow-mode evaluation with a participating organization and authorized data
  • 06A narrow, well-defined first pilot where disruption carries a measurable operational cost

Working on the same problem?

We are interested in technical collaborators, evaluators, research partners and practitioners who have lived the coordination gap firsthand.