Today Haelixa is releasing a major update to its molecular traceability platform, delivering a 40% improvement in DNA marker detection sensitivity, a redesigned portable reader device, and significant enhancements to the TraceCloud dashboard including a new analytics suite and a fully rebuilt API v2. This release represents the most substantial advancement to the Haelixa platform since its commercial launch, and reflects two years of development driven directly by field feedback from our enterprise customers.
The core advance in this release is a 40% improvement in detection sensitivity, achieved through a combination of enhanced marker chemistry, an optimised signal amplification protocol, and a redesigned detection optics module in the portable reader hardware. The new sensitivity threshold brings reliable detection down to 0.6 parts per trillion (ppt) of tagged material — compared to the previous benchmark of 1.0 ppt — without any increase in false-positive rates.
Why does this matter in practice? Many real-world supply-chain applications involve materials that have been diluted, blended, or processed in ways that reduce the effective concentration of DNA markers. Cotton fibres, for example, are typically blended with synthetic materials; lubricant base stocks are combined with additive packages; recycled polymer pellets are mixed with virgin material. In each of these scenarios, the ability to detect authentic markers at lower concentrations directly translates to more reliable authentication across a wider range of real-world dilution ratios.
The new sensitivity specification has been validated across all twelve substrate categories currently supported by the Haelixa platform, including natural and synthetic fibres, aqueous and lipid-based liquid matrices, polymer pellets and films, and metal surface coatings. Independent validation was conducted by two accredited external laboratories, with full methodology available to enterprise customers under NDA.
One of the most frequently cited requirements from our enterprise customer base has been a reduction in the time-to-result for field verification. In previous platform generations, a complete field assay — from sample preparation through to confirmed result — required approximately four minutes. With the updated platform, the same complete workflow now completes in 90 seconds.
This improvement was achieved through three parallel engineering advances. First, a new microfluidic cartridge design reduces the sample preparation steps from five manual pipetting operations to two, with the remaining fluid handling automated within the cartridge itself. Second, the signal amplification protocol has been re-optimised for speed without sacrificing sensitivity, using a novel isothermal chemistry that eliminates the thermal cycling delays inherent in conventional PCR. Third, the updated reader firmware uses a more efficient image processing algorithm that reduces the on-device analysis time from approximately 45 seconds to under 15 seconds.
The 90-second cycle time enables authentication workflows that were previously impractical. At a textile mill receiving dock processing 200 bale deliveries per day, operators can now authenticate every single bale individually, rather than sampling one in ten. At a pharmaceutical distribution centre handling high-volume controlled substance lots, each serialised unit can be verified as it moves through the receiving scan tunnel, with authentication results automatically logged to the TraceCloud platform.
The updated platform introduces full support for simultaneous multi-marker detection in a single assay run. Customers who have deployed multiplex marker panels — where multiple distinct DNA sequences are applied at different points in the supply chain to encode origin, processing, and quality certification data — can now verify all markers in a single 90-second test, rather than running separate sequential assays for each marker.
The new multi-marker detection capability supports panels of up to eight independent markers simultaneously. This opens several new use cases:
The TraceCloud web platform has been substantially redesigned in this release, with a new analytics suite that transforms raw authentication event data into actionable supply-chain intelligence. Key features of the new analytics module include:
A geospatial visualisation layer overlays authentication events onto an interactive world map, allowing supply-chain and compliance teams to monitor authentication activity across all nodes in real time. Colour coding indicates authentication pass rate by location, enabling rapid identification of geographic clusters where failure rates deviate from baseline expectations — a potential signal of diversion, adulteration, or substitution.
The analytics engine monitors time-series patterns in authentication data and applies statistical anomaly detection to flag unusual deviations. Typical anomalies detected include sudden drops in pass rate at a specific supplier location, unusually high volumes of authentication attempts outside normal operating hours, and mismatch patterns between declared lot sizes and the number of authentication events recorded. Anomaly alerts are delivered via email, in-platform notification, or webhook to connected systems such as SAP GRC or Oracle Risk Management.
A new compliance reporting module generates pre-formatted traceability reports aligned with the data requirements of key regulatory frameworks including the EU EUDR due-diligence declaration, CSRD supply-chain disclosure templates, and FDA DSCSA transaction data records. Reports are exportable in PDF, structured JSON, and XML formats, with digital signatures supported for regulatory submission contexts.
Enterprise customers with complex, multi-tier supply chains can now invite tier-2 and tier-3 suppliers to share authentication data within a permissioned collaboration workspace in TraceCloud. Role-based access controls ensure that each participant sees only the data relevant to their node in the supply chain, while the brand owner or compliance team retains full visibility across all tiers.
The TraceCloud API has been fully rebuilt for this release. API v2 offers a RESTful architecture with OpenAPI 3.1 specification documentation, enabling integration with any modern ERP, WMS, LIMS, or supply-chain platform. Key improvements over the previous API version include:
Migration guides from API v1 to v2 are available in the Haelixa developer documentation portal, along with code samples in Python, JavaScript, Java, and C#. The v1 API will remain available and fully supported until December 31, 2026, providing ample time for all customers to complete migration.
Alongside the software and chemistry advances, this release introduces the Haelixa FieldScan 3, the third generation of our portable DNA marker reader. The FieldScan 3 incorporates the following hardware improvements:
All existing Haelixa DNA marker formulations are fully compatible with the new FieldScan 3 reader and the updated detection chemistry. Customers who have deployed markers from the Haelixa V1 or V2 marker libraries do not need to re-tag existing inventory to benefit from the improved detection sensitivity — the new platform detects existing markers with the same 40% sensitivity improvement as newly applied markers.
For customers operating FieldScan 1 or FieldScan 2 hardware, the new TraceCloud API v2 and dashboard features are fully accessible via the existing web and mobile applications, and both legacy hardware generations will continue to receive firmware updates and technical support until the end of 2027. A hardware upgrade programme with preferential pricing for existing customers is available; contact your Haelixa account manager for details.
This platform update is available to all active Haelixa enterprise subscription customers effective immediately. Customers on legacy per-test pricing plans are encouraged to contact our customer success team to discuss migration to the current subscription pricing model, which offers significant cost savings at the volumes typical of full-scale supply-chain deployment.
Published by the Haelixa Editorial Team ·