HiveTech AI is building the only full-stack platform for hive health — hardware sensors, AI-powered predictions, and automated treatment — accessible to every beekeeper from hobbyist to mid-market.
The Challenge
Varroa mites spread faster than any hive check schedule can keep up with. And a new threat — Tropilaelaps — is already showing up in Europe. Colony loss at 56% annually is not just an ecological crisis — it's a market gap.
Mite populations can spike between inspections faster than most beekeepers can keep up with. Manual checks are episodic — pests are not.
Most beekeepers treat on a calendar schedule — not because it's optimal, but because they lack real-time data on what's happening inside the hive between visits.
Competitors like BeeWise ($170M raised) and BeeHero ($64M raised) target large commercial operations only. The hobbyist and mid-market segment — 2.3M+ hives — is completely underserved.
Source: Bee Informed Partnership
The Platform
Three integrated layers — sensors in the hive, AI to make sense of the data, and automated treatment when colonies need it. No competitor offers the full stack.
Layer 1
Smart In-Hive Sensors
Modular sensor hardware that continuously tracks weight, temperature, humidity, sound, and activity — without disrupting the colony.
Layer 2
AI Intelligence & Dashboard
Sensor data becomes actionable intelligence — health scores, early warnings, and treatment recommendations. Gets smarter with every hive added to the network.
Layer 3
Automated Treatment
The Guardian automated applicator closes the loop — precise oxalic acid dosing triggered by AI, at the right time, every time.
See It In Action
From sensors inside the hive to a mobile dashboard — the HiveTech platform is production-ready and deployed.
Modular sensor hardware that sits inside the hive — tracking weight, temperature, humidity, and more.
Fleet-level hive management with health scores, risk predictions, and actionable recommendations.
Automated, AI-triggered oxalic acid treatment — the only system that closes the loop from detection to intervention.
Market Opportunity
Digital agriculture is growing at 13.2% CAGR (2024–2032), expanding from $27B to $72B globally. The beekeeping tech segment is at its inflection point.
Digital Agriculture: 13.2% CAGR (2024–2032)
The global precision agriculture market is expanding from $27B to $72B. HiveTech is positioned at the intersection of agricultural technology, AI, and climate resilience.
Business Model
Hardware creates the install base. Software drives recurring revenue. Data licensing scales independently of hardware — a $1–2B global opportunity.
Sensor hardware drives initial sale; subscription software delivers recurring revenue with high retention.
Aggregated hive health data is highly valuable to ag, climate, and research partners. High-margin, scales independently of hardware sales.
Revenue Projections
Conservative projections based on hardware + SaaS revenue. Data licensing upside is not included.
Traction
Strategic Partners
Key manufacturing, distribution, and regulatory partnerships actively in progress ahead of seed close.
Manufacturing & Distribution
Goshen, CT — manufacturing and distribution partner enabling production scale for hardware units.
OA Vaporizer Partner
Rob Pollock — oxalic acid vaporizer and varroa treatment partner, supporting the HiveHealth AI treatment layer.
Regulatory & Compliance
SDVOB — only U.S. company with EPA/USDA registered oxalic acid tablets, providing critical regulatory coverage.
Team
A cross-functional founding team spanning AI, hardware engineering, law, and business development.
CEO / President / Co-Founder
Seasoned operator and entrepreneur with deep experience scaling hardware-enabled and data-driven businesses, bringing operational discipline, product execution, and go-to-market leadership.
CTO / Co-Founder
Technical co-founder with deep expertise in AI, machine learning, and sensor-driven systems, translating complex real-world data into scalable, predictive software platforms.
General Counsel
Seasoned venture and technology attorney (Shareholder, Updike, Kelly & Spellacy) who advises startups and institutional investors across financings, M&A, and growth-stage corporate strategy.
Lead Hardware & Systems Engineer
AI and data-focused engineer with experience in machine learning, analytics, and applied research, supporting HiveTech's development of intelligent, data-driven systems.
Business Development Associate
Supports HiveTech's strategy and operations with a background in venture capital and finance, contributing to market analysis, fundraising support, and go-to-market execution.
In Progress
We're raising $1M via SAFE to advance our AI/ML models, scale manufacturing to 1,000+ units, and validate our go-to-market strategy.
Fund data science, AI, and mechanical engineering to advance core hive intelligence and product readiness
Cover tooling and initial inventory for ~1,000 hardware units and data nodes
Drive early marketing and customer acquisition to validate the remote monitoring value proposition
Support legal, cloud infrastructure, and operational flexibility as we scale into Year 2