Lauretta AI announced that it had been selected for an AFWERX Small Business Innovation Research Phase I contract to explore Skyla, an AI-enabled system for controlling multiple small unmanned aerial systems. The company reported an award value of $74,958 and a project start date of December 15, 2023.

Those award details are presented here as a Lauretta company announcement. This article does not link to an independent award record confirming the contract amount or project outcome, so the figures should not be interpreted as third-party validation of Skyla’s performance.

What an AFWERX Phase I project is designed to establish

AFWERX’s official SBIR/STTR overview explains the pathway through which small businesses can develop and transition technologies relevant to Department of the Air Force needs. Phase I work is generally an early feasibility and customer-discovery stage. Selection is meaningful research support, but it is not proof of a fielded operational capability, follow-on award, or procurement decision.

The problem Skyla is intended to explore

The company described Skyla as a research effort aimed at helping an operator coordinate multiple small UAS. The underlying physical-AI problem is larger than flight control: a useful system must translate objectives into executable tasks, maintain awareness of vehicle and mission state, and keep a human operator able to supervise or intervene.

This framing aligns with Lauretta’s broader direction—connecting perception, persistent operational context, and real-world execution. Public descriptions should remain specific about which capabilities have been demonstrated, which are under research, and which remain proposed.

About AFWERX and the evidence boundary

AFWERX describes itself on its official website as an innovation organization serving Department of the Air Force needs. Linking to that official programme context is stronger than relying on malformed or incomplete domain links, but it does not independently substantiate Lauretta-specific technical results.

The original article’s claims about unsubstantiated performance, industry leadership, and completed national-defense impact have therefore been removed. Any future update should cite a public award record, customer-approved test result, or official follow-on announcement before making stronger outcome claims.

Learn more about Lauretta’s research direction through Beyond Labs or contact Lauretta AI.

Continue the evidence trail

Read how Lauretta frames a society-oriented, evidence-led direction for physical AI, including the role of human judgment and public evidence as research moves toward operational use.