| Integrator ID | Integrator Name | Status |
|---|---|---|
| 36 | Appspensary LLC | Active |
| 4 | Bamboo Metrix | Active |
| 12 | BioTrackTHC | Active |
| 15 | Blaze Solutions Inc | Active |
| 18 | Canix | Active |
| 39 | Canix | Active |
| 35 | Cannabis Cloud | Active |
| 16 | Cova | Active |
| 9 | Cultivera | Active |
| 38 | DOPE CPA | Active |
| 7 | Dauntless | Active |
| 14 | Distru | Active |
| 21 | Dutchie POS | Active |
| 3 | GrowFlow | Active |
| 6 | Intelligent Automation Consulting LLC | Active |
| 32 | Jane Technologies Inc | Active |
| 37 | Kaleidoscope Technologies Inc. | Active |
| 2 | KlickTrack | Active |
| 20 | MaxQ Technologies Inc. | Active |
| 8 | Mister Kraken | Active |
| 1 | OpenTHC-WeedTraQR | Active |
| 5 | POSaBIT | Active |
| 17 | QuantumLeaf Solutions | Active |
| 33 | Retail Technology Services LLC | Active |
| 13 | Silverware Inc. | Active |
Explaining the Importance of Integrators to the Washington Cannabis Industry
An exploration of integrators across Washington’s cannabis industry and CCRS
The Bottom Line Up Front
In Washington, integrators exist because CCRS is a regulatory reporting hub—not a seed-to-sale system—and integrators are the technical translators that turn diverse business operations into CCRS-compliant regulatory records.
Overview
Integrators are third-party software vendors powering Washington’s cannabis supply chain. That means, WSLCB defines what data must be reported, CCRS defines how it must be structured, licensees can choose any internal system, and integrators act as the bride between a licensee and the CCRS system.
Integrators perform four core functions. These are data normalization, identifier management (licensee-specific-generated IDs), schema compliance and version control, and submission, validation, and error handling.
Washington deliberately chose a hub-and-spoke reporting model rather than a single mandated vendor, like Metrc.
Without integrators, each licensee would have to:
Build CCRS-compliant exports themselves
Maintain schema changes
Handle validation errors, and
Track version reporting requirements
Most licensees cannot do this internally.
Washington CCRS Integrators
Integrators vs Metrc-style vendors (why WA feels harder)
| Dimension | Washington (CCRS + Integrators) | Metrc states |
|---|---|---|
| State system | Reporting hub | Full workflow system |
| Identifiers | Licensee/integrator generated | State-issued RFID |
| Vendor choice | Many integrators | One vendor |
| Flexibility | High | Low |
| Standardization | Lower | Higher |
| Data modeling burden | On integrators/licensees | On Metrc |
| Innovation potential | Higher | Lower |
Washington traded uniformity for flexibility.
Regulatory implications (important for audits & enforcement)
Licensees are still responsible, even if the integrator made the mistake. Mismatches between physical inventory and CCRS = compliance risk. Integrators are not regulated licensees and the CCRS data is treated as the official record.
In this respect, CCRS audits focus mostly on unique identifer usage, negative inventory, timing mismatches (sold before creating inventory), orphaned records, and tranfer chain breaks.
When Identifiers Matter More Than Strain/Product Names
Identifiers dominate in these analyses:
| Analysis type | Unique Identifier importance |
|---|---|
| Inventory reconciliation | Critical |
| Plant lifecycle tracking | Critical |
| Transfer lineage / chain of custody | Critical |
| Negative inventory detection | Critical |
| Integrator behavior comparison | Critical |
| Resubmission / correction detection | Critical |
| Longitudinal facility analysis | Critical |
Summary Comparison: Washington vs Other States’ Traceability Programs
| State | Primary state traceability program | Platform approach | Tagging / unique ID model (high level) | Notable operational implication |
|---|---|---|---|---|
| Washington | CCRS (Cannabis Central Reporting System) (WSLCB) | In-house reporting hub; licensees/integrators submit required data per WSLCB specs; ongoing required CSV/report updates ([GovDelivery][2]) | Uses licensee-created external identifiers for reported entities/events | More variability across POS/ERP tools; heavier integrator dependence; compliance often looks like reconciliation + correct file/spec submission |
| Massachusetts | CCC seed-to-sale; Metrc system of record | Single vendor system (Metrc) with direct UI/API workflows | Metrc’s serialized tag/package model (Metrc platform) | More standardized workflows across businesses; “complexity” is shifted into Metrc conventions/training rather than state-specific file specs |
| California | CCTT (California Cannabis Track-and-Trace) using Metrc | Single vendor (Metrc) implemented statewide | Uses UIDs/tags within CCTT/Metrc | Very large scale; extensive event logging across distribution chain; significant compliance overhead but standardized tooling |
| Colorado | State track-and-trace using Metrc | Single vendor | Explicitly references RFID unique identifiers integrated in Metrc | High auditability; the RFID component can increase cost/handling burden relative to non-RFID implementations |
| Oregon | OLCC Cannabis Tracking System (CTS) (Metrc) | Single vendor | Metrc tracking for required activities (planting → sale) | Standardized tracking expectations; strong documentation ecosystem (OLCC + Metrc wiki) |
| Michigan | CRA statewide monitoring system: Metrc | Single vendor | State describes serialized tags for plants + labels for packages; RFID referenced | Standardized workflows; significant package/plant tagging discipline |
| Oklahoma | OMMA seed-to-sale: Metrc | Single vendor | Metrc statewide compliance requirement | Standardized tooling, but high licensee counts can make training/support and operational consistency a challenge |
Washington’s traceability feels “more complex” than states like Massachusetts largely because Washington has a long history of vendor churn and system remediation, and a materially different technical model than many states that standardized on a single commercial “seed-to-sale” platform.
Washington’s CCRS can feel more complex than Metrc model simply because Washington built CCRS in-house as a replacement/stop-gap after prior vendor failures, CCRS is structured as a reporting hub (often file/spec driven), not a single end-user application, and Washington’s rules emphasize “keep data completely up-to-date” in the state traceability system.
While CCRS requires third-party integrators for most commercial users, the system does not retain integrator-level metadata in transactional records. As a result, regulators cannot evaluate submission infrastructure performance, detect vendor-specific outages, or correlate compliance patterns with software platforms. This limits CCRS’s usefulness not only as a traceability tool, but as a regulatory monitoring system. In short, at this time, the CCRS platform cannot see itself and this is not only a structural limitation but a regulatory one too.
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