Stowe, Vermont
Cove AAI
Augmented & Artificial Intelligence
Cove is an AI-native cannabtech company building the intelligence layer for the legal cannabis economy — from seed to sale to session. We ship software that thinks, connects systems that don’t talk to each other, and architect the compute infrastructure for a future where the farm runs itself.
Current Architecture
What Cove ships today
Cove’s production stack is a multi-model agentic pipeline that ingests, normalizes, and reasons over live cannabis data from dispensaries across Vermont. The system operates across four layers:
Cove Connect
A headless connector mesh that polls dispensary menus in real-time via platform-specific adapters — SSR hydration extraction (Next.js __NEXT_DATA__, Remix __remixContext), public REST API traversal, and headless browser orchestration for WAF-gated SPA endpoints. Raw product records are normalized into a unified ontology across 10 product types, deduplicated, and written to a low-latency key-value store.
Strain Entity Resolution
Fuzzy entity matching pipeline that resolves dispensary product names to canonical strain identities using Levenshtein distance, token-set ratio scoring, and a manually-curated alias table. Handles brand prefixes, weight suffixes, and the "Banana Runtz vs Runtz Banana" class of naming inversions common in craft cannabis.
Cove AI Chat
Retrieval-augmented generation (RAG) grounded in hyperlocal Vermont dispensary data, real-time product availability, and a structured strain knowledge base. Frontier LLM inference via Anthropic Claude, with context-window management, system-prompt persona control, and safety guardrails tuned for cannabis-specific regulatory constraints.
CRAV
Geospatial dispensary intelligence — an interactive map of every licensed retail cannabis location in the state, enriched with live inventory badges, sync freshness indicators, and deep-linked product availability. Server-rendered for zero-JS initial paint with client hydration for map interactivity.
Mission
Cove AI enables
growers, dispensaries, and consumers to make faster, smarter decisions grounded in real data — not guesswork. Growers optimize yield and compliance with live environmental telemetry. Dispensaries surface the right product to the right customer at the right moment. Consumers discover strains matched to their preferences, compare live prices across every shop in the state, and walk into a dispensary already knowing what they want.
Cove AI leverages
frontier foundation models grounded in hyperlocal Vermont data to deliver inference that generic AI cannot. Our RAG pipeline doesn't hallucinate dispensary hours or invent strains — it reads from live-synced menus, a curated strain ontology, and Vermont-specific regulatory context. Every recommendation is traceable to a real product on a real shelf, priced in real-time, at a shop you can drive to.
Future State
Autonomous Cultivation
Self-Custody Compute · Air-Gapped Inference · Zero Chemical Inputs
Cove’s terminal architecture is a fully autonomous cultivation system — an AI-native grow operation where every environmental variable is sensed, modeled, and actuated by on-premise intelligence with zero outbound connection to the internet.
The compute layer runs on local self-custody hardware— inference-optimized edge accelerators (NVIDIA Jetson-class or Apple Silicon Mac clusters) executing quantized open-weight models fine-tuned on cultivar-specific grow data. No cloud dependency. No API calls leaving the building. The farm’s intelligence lives on the farm’s hardware, owned by the farmer.
IoT Sensor Mesh
High-density environmental telemetry — temperature, relative humidity, VPD, CO2 concentration, photosynthetically active radiation (PAR), soil moisture tension, pH, electrical conductivity, dissolved oxygen. Sub-minute sampling intervals feeding a local time-series database.
Closed-Loop Actuation
AI-driven control surfaces for HVAC, CO2 injection, irrigation drip schedules, LED spectrum tuning, and dehumidification. The model observes, predicts, and adjusts — no human in the loop for routine environmental homeostasis. Operator overrides via a local dashboard, never a cloud console.
Computer Vision Phenotyping
Multispectral canopy imaging for early pathogen detection, trichome maturity staging, nutrient deficiency classification, and harvest-window prediction. On-device inference at the camera node — latency measured in milliseconds, not round-trips.
Biological Pest Management
A fully autonomous farm needs zero pesticides and zero insecticides. Cove's vision system identifies pest pressure before it's visible to the human eye — mite colonies at the 10-individual stage, powdery mildew spores pre-germination — and triggers targeted biological countermeasures: beneficial insect release, UV-C sterilization pulses, microclimate adjustments that suppress pathogen vectors without chemical intervention.
The result: craft-quality cannabis grown at computational precision, with a full provenance chain from seed genetics to cured flower — every environmental decision logged, every input traceable, every harvest reproducible. The farmer becomes the architect, not the operator. The AI handles the how. The human decides the what and the why.
Cove AAI is building the augmented intelligence layer for cannabis — bridging the gap between today’s fragmented dispensary data and tomorrow’s fully autonomous grow operations. Based in Stowe, Vermont. Shipping production software now.