Industries
Automatski focuses on sectors where even small improvements in optimization, simulation, security, or scientific discovery can produce large financial, strategic, or national-security value.
Portfolio optimization, option pricing, and risk management for funds, banks, insurers, exchanges, and treasury teams seeking better search over large scenario spaces.
Lotus Fold and Lotus Dock target two expensive bottlenecks: ab initio protein folding and protein-ligand docking. The goal is faster exploration of molecules, binding, and candidate prioritization.
Hyle is built for quantum materials discovery across superconductors, batteries, topological insulators, graphene, semiconductors, photonics, magnetic materials, lattice models, and phase transitions.
Airlines, logistics operators, drone teams, and routing-heavy businesses can use quantum optimization for schedules, assignments, recovery, routing, coverage, and coordination.
6G networks will require AI systems that continuously optimize routing, scheduling, placement, energy, spectrum, and compute allocation in real time.
Urban operators can model city-scale optimization problems where constraints interact across traffic, emergency response, waste, water, floods, transit, charging, safety, and pollution.
Choros targets satellites, ground stations, space traffic, spacecraft, mission planning, rovers, debris, launch, and missile warning problems.
Energy operators can explore optimization and simulation for grids, renewables, storage, EV charging, smart grids, markets, seismic inversion, reservoir simulation, and history matching.
Automatski addresses high-energy physics, weather simulation, realtime CFD, and multiphysics/PDE workloads where classical methods are costly or slow.
What to bring
Bring constraints, sample data, model definitions, current solver performance, budget impact, and the improvement threshold that would make a pilot worthwhile.
Bring routing, scheduling, allocation, capacity, recovery, network, fleet, plant, grid, or warehouse problems with real cost pressure.
Bring molecular, materials, Monte Carlo, CFD, PDE, physics, chemistry, or simulation workloads that strain current compute budgets.
Bring cryptography inventories, PQC migration goals, identity infrastructure, secure communication needs, and threat-model priorities.