Finds the flowers that matter
On-board vision recognises flowers and their readiness in real time, so effort goes only to the blooms that need pollinating.
NEHILIM deploys autonomous Robee drone swarms that identify and pollinate flowers around the clock — a scalable, data-driven answer to the collapse of natural pollinators.
Three quarters of the world's food crops depend on animal pollination, yet natural pollinator populations have fallen 25–40% in recent decades. Manual pollination costs $1,500–$10,000 per hectare and simply cannot scale to feed a growing planet.
Growers are left with rising costs, shrinking yields, and no dependable way to close the gap — season after season. The global pollination crisis demands a scalable, technology-driven answer.
NEHILIM replaces the missing pollinators with autonomous Robee drone swarms — the consistency of a machine with the gentleness of nature. You don't operate the technology; you get the outcomes it delivers.
On-board vision recognises flowers and their readiness in real time, so effort goes only to the blooms that need pollinating.
The swarm keeps a consistent pace day and night, widening the pollination window far beyond what manual crews can reach.
The fleet coordinates to cover more ground per charge while respecting no-fly zones and returning safely — every sortie.
Live coverage maps and fleet health build an auditable record of what was pollinated — field by field, season over season.
A short conversation will clarify exactly what Robee could do for your operation.
Every part of the platform is engineered for real agricultural conditions — variable terrain, changing weather, and large-scale coverage.
An autonomous micro-drone with on-board HD vision and a precision pollination mechanism. Robee swarms cover large areas continuously, working gently flower by flower.
An intelligent base station that manages the full drone lifecycle — launch, safe landing, rapid recharge, and mission dispatch — with no human in the loop.
A real-time view of the whole operation — coverage, mission planning, and fleet health — reachable from any device, anywhere.
Robotic Hive stations are placed across your fields. Each one launches, monitors, and recharges its own swarm of Robee drones — no crew required.
Robees navigate the crop, identify flowers with precision AI vision, and deliver gentle, targeted pollination around the clock — rain-window or shine.
Live coverage maps, fleet health, and pollination records stream to your dashboard — an auditable picture of every field, every season.
NEHILIM is simulation-first: every mission behaviour — flight safety, no-fly-zone avoidance, weather aborts, swarm coordination — is validated in a digital twin before it ever touches hardware.
These describe design targets. NEHILIM holds no certifications yet — see Compliance below.
flight & safety scenarios validated in simulation
NEHILIM is founded and led by two complementary co-founders who blend deep technical capability with rigorous product and business discipline.
Moshe has spent over 20 years at the intersection of AI product development, solution architecture, and enterprise technology. At SeekingAI.net he designed end-to-end RAG-based AI pipelines, integrated transformer models on GCP and Vertex AI, and shipped full-stack products on React and Node.js.
As Director of Technical Sales at Q-nomy he drove international SaaS expansion across EMEA, LATAM, and APAC, architecting multi-tenant AWS solutions. His twelve years at Ericsson saw him pioneer the company's TV product line in Israel; at Orange Israel he launched the world's first Visual Voicemail product — a pattern of industry-first innovation that defines his career.
Hadar brings over 15 years of product leadership spanning IoT, AI, cybersecurity, defence, healthcare, fintech, energy, and enterprise SaaS. At Ayyeka he leads product strategy for IoT and cybersecurity solutions serving critical infrastructure worldwide, coordinating roadmaps across firmware, cloud, and mobile.
At IAI (Israel Aerospace Industries) he built real-time AI decision engines for homeland-security, C4I, and maritime applications — rare first-hand grounding in autonomous systems under mission-critical constraints. Earlier roles include VP of Product at Emerald Medical Applications and Head of GIS at the Israel Ministry of Defense.
All platform data is encrypted at rest and in transit. Role-based access controls and audit logging are core to the architecture. We are designing the platform to meet SOC 2 Type II requirements.
Our AI components are classified as minimal or limited risk under the EU AI Act. We publish model cards for every AI component — intended use, limitations, and foreseeable misuse. The platform is designed to align with ISO/IEC 42001.
NEHILIM collects only the operational data needed to run missions. No personally identifiable information is shared with third parties without consent. Our data practices are designed to align with GDPR requirements.
Robee operations are designed to comply with applicable civil-aviation-authority requirements for unmanned aerial systems, including no-fly-zone enforcement and automatic safe return-to-base protocols.
References to standards and frameworks describe NEHILIM's design intent and targets. NEHILIM holds no regulatory certifications at this time.
See what autonomous pollination could mean for your fields.