fuzzy for cannabis data quality — seeking design partners
Your cannabis data
has ghosts in it.
Fuzzy detects ghost records, matches real products, and keeps your data clean — automatically.
Grene Crck 420mg flwr 1/4zDutchie POSGrene420mg1/4zflwrRecords flow through three checks — GHOST, SUSPICIOUS, or VALID
Millions of SKU records. Thousands of real products.Where do the ghosts come from?
Manual entry under pressure
A budtender receives a shipment and types "Grene Crck 420mg flwr 1/4z" into the POS. The brand is misspelled, 420mg THC is physically impossible for flower, and "1/4z" doesn't parse to any standard weight.
Force-matched or silently created
Most systems either force-match this garbage to the nearest catalog entry — polluting your data — or create a brand new SKU for a product that doesn't exist. Either way, analytics, menus, and inventory are now wrong.
30+ POS systems, zero standards
Cannabis has no UPCs, no universal product codes. Dutchie, Flowhub, Treez, BLAZE, Cova — each with their own data formats, each dispensary creating its own mess independently.
| product_name | pos_source | brand | thc | weight |
|---|---|---|---|---|
| Grene Crck 420mg flwr 1/4z | Dutchie | Grene | 420mg | 1/4z |
| Blue Dream 3.5g | Flowhub | Pacific Reserve | 24.5% | 3.5g |
| OGK PRE ROL 1g indica | BLAZE | Jngle Boys | 31% | 1g |
| GSC 1/8 flwr hybrid | Treez | Cookies | 28 | 1/8 |
| sour diesel cartridge .5 | Cova | stiiizy | 89.2% | .5 |
| GGGG#4 FlWR 7gm INDC | Dutchie | ??? | 999mg | 7gm |
| Wedding Cake Budder 1g | METRC | West Coast Cure | 78.4% | 1g |
Ghost records pollute analytics, menus, and inventory reports. Most systems don't catch them.
How fuzzy works
Detect
Catch garbage before it enters your pipeline.
Three independent checks evaluate every record before it touches your catalog.
- Structural validation — are the attributes physically possible?
- Embedding distance — does this record resemble any known product?
- Semantic validation — do the attributes make sense together?
Records get classified as VALID, SUSPICIOUS, or GHOST with confidence scores and plain-language explanations.
Match
Connect real records to canonical products.
For records that pass ghost detection, multi-signal matching finds the right product.
- Exact lookup, fuzzy string similarity, ML embeddings, and LLM verification
- Confidence scores on every match
- Configurable per organization — your categories, your naming conventions, your rules
Maintain
Every human decision makes the system smarter.
Confirming a ghost, correcting a match, overriding a suggestion — each action trains the model.
- Ghost detection gets sharper over time
- Matching accuracy improves with every correction
- Less human intervention needed while maintaining accuracy
Your investment compounds. The system requires less work the longer you use it.
Cannabis data is uniquely broken.
No universal product codes, no industry standards, and 30+ incompatible POS systems — creating a data quality crisis that compounds with every new dispensary.
No UPCs
No universal product identifiers. Every dispensary names products however they want.
30+ POS systems
Dutchie, Flowhub, Treez, BLAZE, Cova, and dozens more — all incompatible data formats.
Manual data entry
Budtenders type product info by hand under time pressure. Typos, abbreviations, and guesses everywhere.
Regulatory fragmentation
State-by-state rules, post-acquisition platform consolidation (Dutchie acquired Greenbits + Leaflogix), and no industry-wide data standards.
Built for your workflow
For data platforms
Headset, Dutchie, BDSA, LeafLink
- Upstream pre-filter that catches garbage before it enters your normalization pipeline
- Reduces wasted human review hours on records that should have been rejected at intake
- Improves the quality of analytics products your customers pay for
- API integration — send records, get back verdicts with confidence scores
For retailers & MSOs
Multi-location dispensary chains
- Clean up your POS product catalog across all locations
- Consistent naming, accurate attributes, no ghost SKUs cluttering your system
- Better analytics, better menus, better inventory decisions
- Works with your existing POS — Dutchie, Flowhub, Treez, BLAZE, Cova
Cannabis data is uniquely broken
K+
Dispensaries in the US
Each running their own POS, each creating their own naming mess
+
POS systems
Dutchie, Flowhub, Treez, BLAZE, Cova, and more — all incompatible
~
SKUs per dispensary
Average inventory size — most duplicating records already in the system
x
Data inflation
The gap between raw SKU records and distinct real products — that's the ghost problem
We're looking for design partners
Fuzzy is early-stage. We're working with cannabis data leaders to validate ghost detection and build the right solution.
- Real problem, real collaboration — not a sales pitch
- Be first to benefit from a purpose-built solution
- Built by engineers who understand the data problem