Advanced automated cleanroom materials laboratory and 1200°C tube furnaces

Designing the atomic architecture of sustainable sodium-ion materials.

An AI discovery engine by QuantaLabs. Accelerating sustainable hard carbon anodes from agricultural biowaste with atomistic quantum physics.

Explore Engine
Rural South Indian farmers harvesting coconut shells and agricultural residue in Tamil Nadu palm groves
AGRITECH // COCONUT RESIDUE HARVEST
Raw Agricultural Biomass FeedstockSDG 12
Abundant coconut shell heaps and husks in the Pollachi/Coimbatore corridor gathered directly for high-purity hard carbon bio-pyrolysis, generating direct farmer revenues.
Sustainable Battery Intelligence

CleanTech • AgriTech • ClimateTech

IONZE bridges agricultural residue valorization with sovereign, low-carbon sodium-ion battery storage—replacing foreign synthetic graphite monopolies with regional bio-circular materials.

AGRITECH // CIRCULAR BIOECONOMYSDG 12

100x Value Addition for Agricultural Residue

Upcycling abundant South Indian coconut shells (Pollachi/Coimbatore belt), rice husks, and sugarcane bagasse into battery active material worth $5,000–$10,000/ton, creating direct farmer income and preventing open-field crop residue burning.

CLIMATETECH // DECARBONIZED SYNTHESISSDG 13

60%+ Lower Thermal Footprint vs. Synthetic Graphite

Eliminates fossil-fuel intensive 3,000°C Acheson synthetic graphite furnaces by operating at 1,200°C bio-pyrolysis. Utilizing photosynthetically sequestered carbon delivers near net-zero embodied carbon anodes.

CLEANTECH // SOVEREIGN ENERGY STORAGESDG 7 & 9

Non-Toxic, Zero-Graphite Grid & Mobility Storage

Sodium-ion eliminates reliance on scarce lithium, nickel, and cobalt. Our atomistic DFT engine designs the required disordered nano-architecture (d₀₀₂ > 0.37 nm) to break foreign graphite supply chokeholds.

UN SDG Targets:SDG 07• Clean EnergySDG 09• Industry & InnovationSDG 12• Circular EconomySDG 13• Climate Action
DPIIT-Recognised Deep-Tech • QuantaLabs Pvt Ltd • Coimbatore, India
Full Impact Report

Accelerating Sodium-Ion Hard Carbon Discovery

A physics-grounded platform coupling open literature screening, atomistic DFT quantum simulation, and automated inverse recipes for sodium-ion hard carbon anodes.

Synthesizing battery-grade hard carbon requires balancing closed pore volume, d₀₀₂ interlayer spacing (>0.37 nm), and defect annealing. IONZE shrinks discovery cycles from 18 months to 2 months.

Supported By Cloud & Compute Programs
Microsoft Founders Hub ($150k Azure HPC) • Google Cloud ($100k Vertex AI) • AWS Activate
Industry Applications & Focus Sectors12 ACTIVE DOMAINS
Grid Energy (BESS)
Utility-Scale Storage
Urban 2-Wheelers
High-Rate Micromobility
Biomass Precursors
Feedstock Upcycling
Cell Manufacturers
Sodium Cathode Pairs
Telecom Power
High-Temp Resilient Backup
Cold-Climate Storage
-20°C Capacity Retention
Industrial AGVs
Fast-Charging Motive
Continuous Pyrolysis
1,200°C Reactor Synthesis
Prussian White Cells
Electrochemistry Matching
Lead-Acid Replacement
12V / 48V Auxiliary
Solar Microgrids
Distributed Energy
Defense & Heavy Tech
Non-Lithium Safety
DPIIT Recognised Startup • India
1200°C High-Temperature Thermal Carbon Pyrolysis Embers
1,200°C THERMAL PYROLYSIS
High-Temperature Defect Annealing
Controlled 900°C to 1400°C furnace ramps lock in turbostratic graphene spacing (d₀₀₂ ≥ 0.37 nm) while maximizing closed pore volume for ICE > 88%.

From Atomistic Model to Production Anode

Three integrated computational stages turning raw agricultural biomass and synthetic precursors into commercial sodium-ion battery active materials with mathematical precision.

FIRST-PRINCIPLES SIMULATION01

Quantum Intercalation DFT

Simulating sodium binding energy (E_b ≈ -1.82 eV) and turbostratic graphene supercells with Quantum ESPRESSO. Accurately predicting interlayer spacing (d₀₀₂ > 0.37 nm) to suppress dendrite growth before furnace runs.

THERMAL DEFECT ANNEALING02

1,200°C Closed-Pore Pyrolysis

Automated heating ramps between 900°C and 1,400°C under ultra-pure argon. Eliminates surface oxygen groups and tailors closed micropore volume to drive Initial Coulombic Efficiency (ICE) past 88%.

LABORATORY VALIDATION03

Automated Electrochemical Cycling

Closed-loop robotic synthesis and cycling in coin and pouch cell formats. Validates low-potential plateau capacity (>200 mAh/g), rate performance up to 5C, and 1,000+ cycle stability.

Materials Intelligence • India
Launch Predictor
Controlled Materials Production Cleanroom Facility
CYCLE COMPRESSION // 18 MO TO 2 MO
Cost & Velocity Benchmark
Replacing empirical furnace trial-and-error with quantum-guided parameter spaces compresses R&D expenditure by over 90%.

Compressing Eighteen Months of Chemistry into Weeks

Traditional battery discovery relies on blind wet-lab trial-and-error. IONZE calculates synthesis windows, defect states, and closed-porosity upfront.

Traditional Empirical Wet-Lab
• 18+ month synthesis cycles
• Blind furnace trials ($400k+)
• Open pore defects & low ICE
• Unpredictable batch variation
IONZE In-Silico Synthesis9X FASTER
• 2-month targeted synthesis
• DFT-guided argon ramps
• Maximized closed pore volume
• Guaranteed ICE > 86%
Validated on 141+ audited research papersInspect Cycling Analyzer

Specialized Computational Engines

Four dedicated materials intelligence tools designed for precursor suppliers, battery cell manufacturers, and computational electrochemists.

PRODUCTION R&D PLATFORM • v2.4
Synthesis Predictor
SYS: PREDICT // AI INFERENCE
MACHINE LEARNING INFERENCE

Synthesis Predictor

Input precursor chemistry (Coconut shell, Sucrose, Pitch, Lignin) and carbonization temperatures (900°C to 1500°C) to predict reversible capacity and ICE in seconds.

READY FOR EVALUATIONLaunch Predictor
Cycling Curve Analyzer
SYS: ANALYZER // 0 TO 5C RATE
ELECTROCHEMICAL DECOMPOSITION

Cycling Curve Analyzer

Inspect full charge-discharge profiles, separating slope capacity from the flat low-potential plateau to verify sodium storage mechanisms up to 5C.

READY FOR EVALUATIONAnalyze Curves
Turbostratic Materials Atlas
SYS: ATLAS // 141 AUDITED PAPERS
CURATED RESEARCH DATABASE

Turbostratic Materials Atlas

Search over 141 audited peer-reviewed literature records, complete with precursor compositions, d₀₀₂ interlayer measurements, and verified test conditions.

READY FOR EVALUATIONExplore Atlas
Atomistic DFT Visualizer
SYS: DFT // QUANTUM ESPRESSO
QUANTUM ESPRESSO INTEGRATION

Atomistic DFT Visualizer

Simulate turbostratic supercells and calculate sodium-ion migration barriers to verify dendrite-free intercalation at the sub-nanometer scale.

READY FOR EVALUATIONView Quantum Model