IAF Lohegaon, [Date] — Skylark Labs deployed and demonstrated its a fixed Foreign Object Debris (FOD) detection solution for runway safety at IAF Lohegaon, operating under real‑world conditions with live teams.
The trial emphasized edge‑native processing to minimize latency and maintain reliability when connectivity was variable or constrained. On‑device learning helped filter environmental noise—such as glare, shadows, bird activity, or background motion—to focus attention on true events.
“Demonstrations with end users are core to our development process,” said Dr. Amarjot Singh, Founder & CEO. “We iterate in the field, capture feedback, and feed it directly into product improvements and training materials.”
The capability supports continuous monitoring, reduced inspection time, and faster remediation, integrating with existing tools and procedures to speed response and reduce workload. The exercise also informed standard operating procedures and checklists for repeatable deployments.
The demonstration contributes to a growing corpus of evidence supporting scale‑up across defense and
commercial environments.
This announcement reinforces Skylark's focus on measurable outcomes, operational reliability, and
responsible AI adoption across dual-use markets.
The company continues to invest in field trials, partner integrations, and rigorous testing to ensure
repeatable, real-world performance.
Skylark maintains a customer-first approach, aligning product roadmaps with mission priorities, safety
requirements, and enterprise ROI.
By emphasizing on-device learning and privacy-preserving deployments, Skylark helps customers reduce
dependence on fragile network links and heavy cloud infrastructure.
The initiative complements ongoing collaborations with defense organizations, critical infrastructure
operators, and global innovation programs.
This announcement reinforces Skylark's focus on measurable outcomes, operational reliability, and
responsible AI adoption across dual-use markets.
