Applications
Built for the problems you actually have.
Pre-built process knowledge across 11 active application areas — from anode and cathode lines to ceramic sintering and carbon fiber layup.
Energy Storage
6 applicationsLithium-Ion Cell Manufacturing
Formation, aging, and final test — full cell genealogy
Defects in lithium-ion cell manufacturing originate upstream of where they are detected. A coating pinhole formed at 1.2 m/min web speed shows up as voltage fade three weeks later in formation. Niobia AI closes that loop by tying inline vision to process telemetry across every step from slurry mixing to formation.
Learn moreAnode Manufacturing
Coating, calendering, slitting — graphite, silicon, Nb₂O₅
Graphite anode coating is a precision process where slot-die speed, binder ratio, and calendering pressure interact to determine cycle life. A pinhole or agglomerate invisible at 30 m/min web speed becomes a lithium plating site that fails after 200 cycles. Niobia AI links every coating frame to the upstream slurry state that produced it.
Learn moreCathode Manufacturing
Slurry, coating, drying, calendering — NMC, LFP, NCA
NMC, LFP, and NCA cathode lines share the same equipment but differ in where they fail. NMC811 secondary particles fracture above 200 MPa calendering load. LFP aqueous slurries are sensitive to pH and mixing time. NCA requires stricter moisture control in drying. Niobia AI's detection models are recalibrated for each cathode chemistry.
Learn moreElectrolyte Manufacturing
Mixing, filling, QC — liquid and dry electrolytes
Electrolyte quality is invisible until it shows up in formation yield. LiPF₆ decomposition from moisture above 10 ppm produces HF that corrodes current collectors. Filling weight variance of ±0.2 g shifts ESR distribution by 15–25%. Niobia AI connects fill records, moisture logs, and formation curves to find electrolyte-driven yield loss before it becomes a scrap cost.
Learn moreBattery Recycling & Second Life
Black mass, hydromet, sorting — from pack to precursor
Battery recycling economics depend on sorting accuracy and black mass purity. Cross-contamination of LFP and NMC black mass destroys the value of both streams. Chemistry misidentification at the sorting stage propagates through hydrometallurgical processing, reducing precursor yield by 20–40%. Niobia AI brings AI-driven sorting and yield prediction to recycling lines.
Learn moreFlow Cell Manufacturing
Stack assembly, membrane QC, electrolyte handling
Vanadium redox flow battery manufacturing is constrained by membrane quality and stack assembly consistency. A Nafion membrane pinhole causes cross-contamination that degrades electrolyte capacity by 15–30% per year. Torque non-uniformity in stack assembly creates local compression gradients that accelerate carbon felt degradation. Niobia AI links inline membrane inspection to stack assembly QC and electrolyte monitoring.
Learn morePolymer Processing
2 applicationsInjection Molding
Cavity-pressure + vision — zero-escape defect control
Injection moulding defect detection is no longer constrained by sensor technology — it is constrained by data plumbing between cavity-pressure sensors, machine PLCs, and downstream vision systems. Niobia AI creates the part-level data record that links every vision frame to its cavity-pressure trace and machine setpoints.
Learn morePolymer Extrusion
Gel, gauge variation, die-line intelligence at line speed
Polymer extrusion defects originate in melt quality and propagate through the die into the cooling stack. Inline vision systems running at line speed detect defects across tube and film profiles. Niobia AI creates a per-meter record linking every gel detection frame to the upstream melt-state that produced it.
Learn moreAdvanced Materials
3 applicationsCeramic & Technical Ceramics
Sintering, green body inspection — solid-state and power electronics
Technical ceramics for solid-state batteries and power electronics carry sintering yields below 50% in many pilot programs. Green body defects — density gradients, microcracks, inclusion agglomerates — survive the binder burnout and amplify during sintering at 1,000–1,700 °C into warpage, porosity pockets, and surface fractures that reject the entire part. Niobia AI inspects before sintering to prevent committing the thermal budget to defective green bodies.
Learn moreCarbon Fiber & Composites
Layup, cure, NDT — aerospace and EV structural
Carbon fiber composite manufacturing for aerospace and EV structural applications has a defect tolerance measured in fractions of a percent void content. Fiber misalignment above 2°, dry spots in AFP layup, and voids above 0.5% from cure cycle deviations can all reject a part worth thousands of dollars. Niobia AI connects AFP inline inspection, autoclave cure monitoring, and NDT image analysis into a single part genealogy.
Learn moreThin Film Deposition
PVD/CVD inspection — batteries, solar, and semiconductors
Thin film deposition for battery cathode coatings, solar TCO layers, and semiconductor metallization requires thickness uniformity within ±2–5% across large substrates. Target erosion in sputtering shifts composition over runs; macroparticles from cathodic arc sources create pinholes in films as thin as 10 nm. Niobia AI provides inline optical thickness monitoring and particle detection on moving substrates.
Learn moreComing Soon
0 applicationsSemiconductor Manufacturing
Wafer fab, etch, deposition, CMP
AI process intelligence for semiconductor wafer fabrication — connecting etch rate, deposition uniformity, CMP planarization, and yield outcomes across the full fab process flow.
Photovoltaic & Solar Cell Manufacturing
Cell, module, and encapsulant quality control
AI process intelligence for photovoltaic manufacturing — connecting cell efficiency variance to deposition conditions, encapsulant quality, and module assembly outcomes.