Patent Pending · Seed Round Open

Bees are dying.
We're building the fix.

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.

Request Info See the Platform
56%
U.S. hive loss rate in 2025
$577M
U.S. TAM (platform + data)
102M
hives globally

See It In Action

Integrated AI. Built for the Hive.

From sensors inside the hive to a mobile dashboard — the HiveTech AI platform is production-ready and deployed.

HiveWare AI smart hive hardware
Layer 1

HiveWare AI Sensor Unit

Modular sensor hardware that sits inside the hive — tracking weight, temperature, humidity, and more.

HiveTech AI monitoring dashboard
Layer 2

HiveAnalytics AI Dashboard

Fleet-level hive management with health scores, risk predictions, and actionable recommendations.

HiveHealth AI automated oxalic acid applicator
Layer 3

Guardian OA Applicator

Automated, AI-triggered oxalic acid treatment — the only system that closes the loop from detection to intervention.

The Platform

Monitor. Predict. Act.

Three integrated layers — sensors in the hive, AI to make sense of the data, and automated treatment when hives need it. No competitor offers the full stack.

Layer 1

HiveWare AI

Smart In-Hive Sensors

Modular sensor hardware that continuously tracks weight, temperature, humidity, sound, and activity — without disrupting the hive.

  • Continuous 24/7 monitoring
  • Fits existing hive setups
  • Designed for affordable, accessible deployment

Layer 2

HiveAnalytics AI

AI Intelligence & Dashboard

Sensor data becomes actionable intelligence — health scores, early warnings, and treatment recommendations. Gets smarter with every hive added to the network.

  • Aggregated data licensing opportunity
  • Mite risk scores & predictions
  • Recurring SaaS subscription per hive

Layer 3

HiveHealth AI

Intelligent Pest Control

The Guardian automated applicator closes the loop — precise oxalic acid dosing triggered by AI, at the right time, every time.

  • Automated, data-triggered treatment
  • No competitor offers this full loop
  • EPA/USDA compliant OA treatment

Competitive Advantage

Why HiveTech Wins

We are the only full-stack platform combining hardware sensors, AI software, and automated treatment. Competitors have raised hundreds of millions — but they all ignore the same massive market.

Full-stack advantage — hardware + AI + treatment

No other player offers the complete loop from detection to automated intervention

Untapped market: hobbyists, sideliners & mid-market

BeeWise ($170M raised) and BeeHero ($64M raised) target large commercial only — we own the rest

Tropilaelaps as urgency signal

Already in Europe — kills hives in 3–4 months, invisible to manual inspection, spreading via global trade

Competitive Landscape

BeeWise $170M raised
Commercial only No treatment layer
BeeHero $64M raised
Commercial only Monitoring only
HiveTech AI Seed stage
Hobbyist & sideliner Full-stack platform Hardware + AI + Treatment

The Challenge

The odds are stacked against us

Varroa mites spread faster than any hive check schedule can keep up with. And a new threat — Tropilaelaps — is already showing up in Europe. Hive loss at 56% annually is not just an ecological crisis — it's a market gap.

Hard to Spot, Fast to Spread

Mite populations can spike between inspections faster than most beekeepers can keep up with. Manual checks are episodic — pests are not.

Always Playing Catch-Up

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.

Existing Tools Aren't Built for Us

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.

U.S. Annual Hive Losses

Source: Bee Informed Partnership

Trending Critical
60% 40% 20% 0%
~20% acceptable
36
30
46
35
41
41
34
41
41
44
51
39
49
55
56%
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Beekeepers consider ~20% loss "acceptable" Current losses are nearly 3x that threshold

Market Opportunity

A massive, underpenetrated market

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.

Total Addressable Market
$11–12B
Global TAM
$577M–$777M U.S. TAM ($377M platform: 2.7M hives × $140 ARPU + $200–400M data licensing). Pollination economy: $15B.
Serviceable Addressable Market
$2.99B
Global SAM
Tech-forward beekeepers globally — hobbyists and mid-market operators ready for smart hive management
Serviceable Obtainable Market
$80.2M
Global SOM
Realistic capture target — early adopters and expansion markets within reach

Business Model

Two high-margin revenue streams

Hardware creates the install base. Software drives recurring revenue. Data licensing scales independently of hardware — a $1–2B global opportunity.

Hardware-Enabled SaaS

Sensor hardware drives initial sale; subscription software delivers recurring revenue with high retention.

One-time hardware purchase per hive
Recurring monthly software subscription
Tiered pricing scales with apiary size
1-month free trial to reduce adoption friction

Data Licensing

Aggregated hive health data is highly valuable to ag, climate, and research partners. High-margin, scales independently of hardware sales.

Target customers Ag & climate research
Global opportunity $1–2B annually
Margin profile High — near-zero COGS

Revenue Projections

A clear path to scale

Conservative projections based on hardware + SaaS revenue.

Year 1 — 2027
~850
hives deployed
$372K
projected revenue
Hardware + Year 1 SaaS
Year 2 — 2028
~2,300
hives deployed
$626K
projected revenue
Hardware + Growing SaaS base
Year 3 — 2029+
~9,500
hives deployed
$3.0M
projected revenue
Hardware + SaaS + early data licensing

* Data licensing upside is not included in these projections.

Traction

Foundation in place

$275K
invested in R&D to date
5
team members
3
strategic partners secured
25
test hives by Aug 2026

Team

Built by the right people

A cross-functional founding team spanning AI, hardware engineering, law, and business development.

Eric Rosow

Eric Rosow

Principal / Co-Founder

Seasoned beekeeper, operator, and entrepreneur with deep experience scaling hardware-enabled and data-driven businesses, bringing operational discipline, product execution, and go-to-market leadership.

Akin Tatoglu

Akin Tatoglu

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.

Gregg Lallier

Gregg Lallier

General Counsel

Seasoned venture and technology attorney, beekeeper, and Shareholder at Updike, Kelly & Spellacy, who advises startups and institutional investors across financings, M&A, and growth-stage corporate strategy.

Kingshuk Asif

Kingshuk Asif

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.

Joe Lallier

Joe Lallier

Chief of Staff

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.

Advisory Board

6 others in the works

  • Gary Grzywinski — Master Beekeeper
  • Ed Bahr — Owner, Mike's Beehive, LLC · Goshen, CT
Seed Round — Now Open

Partner with HiveTech AI

We're advancing our AI/ML models, scaling manufacturing, and executing our go-to-market strategy.

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