THREE FILTERS. A TEN-YEAR PLATFORM. HOW WE CHOOSE SYNGAPURE PARTNERS.
Since the BMWK go-inno announcement, the SyngaPure inbox has been full. Catalyst researchers. Filtration engineers. AI control teams. Sensor developers. Most of them are good at what they do. We still say no to most of them. SyngaPure is a three-stage gas cleaning platform (catalytic tar reforming, particulate filtration, sorbent-based contaminant removal, one AI control layer) built on a 1,939-hour validated campaign. It will evolve for a decade. We partner with teams that have spent years inside one of its technical layers, have already hit its failure modes, and think in years, not quarters.
The BMWK go-inno announcement opened the floodgates. Since then we have heard from research groups, engineering firms, and technology companies across the gas cleaning stack. Serious people, good work. We cannot say yes to all of them, and we will not. Partnership capacity is a real constraint, and the wrong partner costs more than no partner.
The timing matters because the industry is littered with projects that looked right on paper. Enerkem has one commercial plant after 24 years. Fulcrum went into Chapter 11. Entrade is insolvent. They all hit the same wall: the jump from bench-scale to industrial conditions. Catalyst poisoning, tar fouling, and sorbent degradation kill systems the moment real feedstock variability shows up. That wall is exactly what SyngaPure is designed to break, and the go-inno programme funds the unglamorous middle where deep-tech projects either ship or die.
Component-level prototyping starts in Q3, beginning with the catalytic tar reformer. That is deliberate. Tar is the killer. If a system cannot crack tar reliably under industrial conditions (variable flow, variable composition, variable contaminants), nothing else matters. We are building the hardest component first, and that is where we need the strongest partners.
SyngaPure is a three-stage gas cleaning architecture: catalytic tar reforming, particulate filtration, and sorbent-based contaminant removal, with an AI control layer tying the stages together. The design documentation is complete across ten disciplines: catalyst selection, reactor design, heat integration, sulfur management, ammonia management, mechanical design, controls and instrumentation, catalyst management, performance guarantees, and cost. The platform that feeds it, the X-150 gasifier, has already run 1,939 hours at the COMETHA site in Paris with 33% hydrogen syngas and 99.98% tar conversion, processing 16,382 kg of digestate pellets from MSW, sewage sludge, and horse manure.
That campaign tells us what the failure modes actually are. We are looking for partners who already know them.
The first filter is technical depth. Enthusiasm is common. Years inside one of the problems SyngaPure depends on is not. We want teams that have been deep on catalysis (the reformer runs a nickel-alumina catalyst on a silicon carbide foam support at 850 to 950 C, with roughly 94% tar conversion measured on its own), sorbent chemistry (sulfur management, ammonia management, regeneration over hundreds of thermal cycles), high-temperature filtration, industrial AI control (our control layer is a local LLM loop that adjusts operating parameters as feedstock composition shifts in real time), or sensor integration. Generalists slow us down. Specialists accelerate us.
The second filter is skin in the game. The best partners have already burned cycles on the problems we are solving. They understand the failure modes: tar breakthrough, H2S slip, sorbent degradation, control loop latency under feedstock swings. They have opinions about what does not work and why. That experience earns them the right to challenge our assumptions, and we want them to use it. A partner who has watched a catalyst die in the field is worth more than three who have only read the papers.
The third filter is the longest view. SyngaPure is not a product launch. It is an industrial platform that will evolve for the next decade. The architecture was designed for expansion: a fourth stage, whether methanation for e-fuels, a CO2 capture loop, or radionuclide capture, becomes one more sensor and actuator in the same integrated control loop rather than a bolt-on box. Partners who think in quarters will be gone by year two. We are building for year ten, and we want people standing there with us.
The distributed waste-to-energy market is estimated at EUR 8 to 15 billion by 2030. The teams that ship validated gas cleaning will take the largest share of it, because the regulatory clock is running in their favor: ReFuelEU Aviation raises SAF blending requirements through 2050, and RED III pushes the EU renewable energy target to 42.5% by 2030. Every year without a validated cleaning system is a year of compliance cost for operators who need to turn waste streams into energy.
We built the X-150 for roughly EUR 7 million in development. Comparable efforts elsewhere spent EUR 41 million and stopped. We intend to do the same with SyngaPure: build the platform that actually ships, with partners who carry their weight across a decade of iterations.
If you work in waste gasification, AI control systems, or any of the technical layers SyngaPure depends on, tell us what your team has been solving for years. That is the first filter. The rest follows from there.
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