Everyday help shouldn’t feel like a luxury.

NeigborDrop connects everyday requests with trips neighbors are already making. Get help. Offer help. Coordinate it in one app.

The need exists. The movement exists. NeigborDrop connects them.

Zero-fleet logistics is where we begin. AI coordination is the engine. NeighborOS is the long-term vision.

Small task. Too much time. Too many fees.

A forgotten carton of milk. A package return. An order waiting for pickup. Small tasks compete with work, family and everyday budgets.

Higher online prices and added fees make the decision harder: is the convenience worth the total cost?

Help that fits everyday life.

NeigborDrop connects local requests with compatible trips. Get help without making another journey. Earn by helping along the way. Coordinate the task, timing and agreed price in one app.

An everyday example

Make Movement Count.

When a matched pickup avoids more driving than it adds, it reduces total vehicle travel.

Illustrative route. Travel and emissions savings have not been measured.

Why the model can compete

Help that fits the task. Clear terms. Coordination in one app. Request help when you need it, or earn by helping when your plans fit.

AI coordination is the engine

A useful match takes more than proximity. Our AI coordination evaluates route, timing, task requirements, availability and reliability to connect requests with suitable neighbors.

Movement today. Time and skills tomorrow

Availability makes someone bookable. Cleaning ability, equipment, scope and trust make them suitable. NeighborOS could evaluate those requirements together rather than treating a free hour as proof of competence.

Movement is the current entry point. Additional categories and agent integrations would be introduced with appropriate operating standards and viable economics.

1. 37,108 registered users.
2. 18,933 completed transactions.
3. $569,823 cumulative GMV.
4. 59.05% repeat transaction rate.
5. 86.34% completion rate.
6. No paid helper incentives or transaction subsidies reported.

Real activity. A foundation to scale. Our next priority is to deepen neighborhood participation, strengthen repeat paid use and deliver reliable completion.

Everyday budgets demand better value. AI makes complex coordination practical. NeigborDrop brings together task requirements, routes, timing and availability to organize local help—building on a working product and demonstrated activity.

A future interface for software agents

Our roadmap includes authorized AI agents requesting real-world tasks through NeighborOS, with clear permission, defined scope and confirmation of completion.

NeigborDrop is live in US & Canada on native iOS and Android with customers in New York, Chicago and Seattle in the U.S., and Toronto in Canada.

Build density. Earn repeat use. Expand

Our growth strategy is to deepen local participation, earn repeat use and replicate successful neighborhood clusters. Our long-term goal is to expand across 100+ dense cities.

Sunill Kumaar | Co-Founder and CEO

Repeat founder with 20+ years building products and startups. Previously helped scale an early-stage startup from approximately $50K to $10M+ ARR in under three years and grew a consumer app to 500K+ users in under six months.

Claude Houle | Co-Founder and CTO

20+ years building scalable software. Built an early industrial visionOS app, was selected by Apple for a Vision Pro Developer Kit, and leads NeigborDrop’s AI and platform engineering.

Aditi Jhaveri | Co-Founder and Product Head

7+ years building consumer products. Engineered a custom Unity–Swift runtime supporting 15,000+ active users and leads product experience.

Funding will support stronger AI coordination, denser neighborhood activity, community and business partnerships, and reliable service in the U.S. and Canada. We will track repeat paid use, completion and transaction economics.

Useful help today. A neighborhood operating system tomorrow.

Join us in building NeigborDrop—from everyday requests to a connected network of local movement, time and skills.