Both projects address logistics intelligence: PrEDICTS optimized container load for transport networks, while Transmetrics built an augmented intelligence platform for logistics operators.
TRANSMETRICS AD
Bulgarian AI SME that builds predictive optimization software for freight and parcel transport networks.
Their core work
Transmetrics AD is a Bulgarian logistics technology company that applies artificial intelligence and predictive analytics to optimize freight transport operations. Their core product addresses a persistent logistics problem: underutilized capacity in container and pallet shipments across parcel networks. They progressed from validating a container load optimization concept (PrEDICTS) to building a full augmented intelligence platform for logistics operators, suggesting a product company with commercially deployable software. Their work sits at the intersection of operations research, machine learning, and transport network management.
What they specialise in
PrEDICTS specifically tackled container and pallet load optimization across parcel and transport networks, a core freight capacity challenge.
The Transmetrics project (augmented intelligence for logistics) and the PrEDICTS acronym both point to predictive modelling applied to transport decision-making.
How they've shifted over time
Transmetrics followed a textbook SME Instrument progression: a Phase 1 feasibility study in 2018 (PrEDICTS, EUR 50k) validated the market and technical approach for container load optimization, and a Phase 2 implementation project starting in 2020 (EUR 1.67M) scaled that into a full augmented intelligence product for the logistics sector. The shift from a narrow container-load problem to "augmented intelligence for logistics" suggests deliberate product broadening — moving from a single optimization module toward a platform play. There is no evidence of diversification into other sectors; the trajectory is deepening AI expertise within freight logistics rather than expanding horizontally.
Transmetrics is moving toward becoming a full-stack AI platform for logistics operators, having validated a specific freight optimization use case and secured Phase 2 funding to productize it at scale.
How they like to work
Transmetrics operates exclusively as a coordinator and leads its own SME Instrument projects, which are by design single-company or small-team efforts rather than large multi-partner consortia. This profile is typical of product-focused SMEs using EU funding to de-risk R&D on their own commercial product rather than to join collaborative research networks. A prospective partner should expect to engage them as a technology provider or integration partner rather than as a consortium co-investigator.
The available data shows no registered consortium partners across their two projects, consistent with the solo-SME structure of the SME Instrument funding scheme. Their collaboration footprint in the EU research ecosystem is narrow — they build their product independently rather than through broad partner networks.
What sets them apart
Transmetrics is one of the very few Bulgarian tech SMEs to complete the full SME Instrument journey from Phase 1 to Phase 2, which signals both technical credibility and the ability to execute a funded product development cycle. Their focus is commercially specific — AI for freight and parcel logistics — rather than research for its own sake, making them a technology provider rather than a research collaborator. For a consortium needing a logistics AI component or a business seeking a ready-made capacity optimization tool, they offer a validated, EU-funded product rather than a prototype.
Highlights from their portfolio
- TransmetricsThe largest project by far (EUR 1.67M, SME Phase 2) represents a full commercial-scale AI platform development for logistics, making it the company's defining funded work.
- PrEDICTSAs the Phase 1 feasibility precursor, PrEDICTS validated the technical and market concept that unlocked the much larger Phase 2 grant — demonstrating a disciplined product development path.