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Sightec Completes First Drone Delivery Without GPS
Some of the world’s largest retailers and e-commerce companies are actively exploring the potential of drones to deliver goods across short to medium distances. Now, Israeli startup Sightec has successfully completed its first drone delivery without GPS.
Instead of location signals provided by satellites, the drone relies on a software solution combining computer vision with artificial intelligence technologies, called NaviSight, to autonomously get to its destination.
NaviSight is compatible with all camera-equipped off-the-shelf drones. With the help of advanced video processing, the software essentially transforms the camera into a smart sensor, allowing the drone to understand its surroundings and identify its location in real-time.
“We give drones the ability to get from point A to point B safely without the need for GPS signals,” said Roy Shmuel, the CEO of Sightec. “There is no available solution today for players globally,” he added.
The test was part of a pilot program operated by Israel’s Ministry of Transport (MOT), Ayalon Highways, the Civil Aviation Authority of Israel (CAAI), and the Israel Innovation Authority. The goal of the program is to test and demonstrate the viability of autonomous drones in managed airspace.
During the test, Sightec successfully navigated the drone on five pre-determined routes near the southern city of Yeruham. “The drone completed each route safely, from take-off to full landing, over desert and construction sites,” said Shmuel.
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Not depending on GPS for navigation is important because GPS satellites can malfunction, and the signals transmitted by them can be disrupted by malicious hackers. Without an alternative navigation method, it would be safe to use drones for deliveries and other purposes in populated areas because they could lose signal and endanger people, buildings, and vehicles.
Shmuel also said that the test is an important step toward the legalization of drone delivery operations in Israel and other regions. However, more test flights still need to be conducted in other parts of the country before the technology is ready for prime time.
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NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
The chipmaker has significantly expanded OpenAI’s latest model across teams from engineering to HR under tight internal controls.
NVIDIA has started rolling out OpenAI’s GPT-5.5 model through the Codex coding agent to more than 10,000 employees, extending the tool well beyond software teams and into core business functions.
The deployment covers engineering, product, legal, marketing, finance, sales, HR, operations and developer programs. Staff are using Codex for coding, internal research and routine knowledge work as companies test whether AI agents can move from demos to daily use.
GPT-5.5 is running on NVIDIA’s GB200 NVL72 rack-scale systems, linking OpenAI’s newest model directly to the chipmaker’s latest infrastructure push. NVIDIA said the systems cut cost per million tokens by 35 times and raise token output per second per megawatt by 50 times versus earlier generations.
Inside the company, it says the effects are immediate. Debugging work that once took days is being finished in hours and experiments across large codebases that used to stretch over weeks are now handled overnight. Teams are also building features from natural-language prompts with fewer failed runs.
In a company-wide note urging staff to adopt the tool, CEO Jensen Huang wrote: “Let’s jump to lightspeed. Welcome to the age of AI.”
Security remains central to the rollout. Codex can connect through Secure Shell to approved cloud virtual machines, allowing agents to work with company data without moving it outside approved environments. NVIDIA said it assigned cloud VMs to employees so agents run in isolated sandboxes with full audit trails.
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The company added that the setup uses a zero-data-retention policy. Access to production systems is read-only through command-line tools and internal automation layers.
The move also highlights NVIDIA’s long relationship with OpenAI. NVIDIA said the partnership began in 2016, when Huang personally delivered the first DGX-1 AI supercomputer to OpenAI’s San Francisco office.
The two companies have since worked across hardware and model deployment. NVIDIA also said OpenAI plans to deploy more than 10 gigawatts of NVIDIA systems for future AI infrastructure.
For Gulf markets pouring money into sovereign AI and enterprise automation, the signal is clear: internal AI agents are moving from pilot phase to standard tooling.
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