Eric Hall

PexMachina is a physics-first molecular simulation platform for drug discovery, focused on complex therapeutics such as peptides, PDCs, and ADCs. We are used when conventional tools like Schrödinger and AI-driven approaches reach their limits—particularly in predicting binding affinity, molecular stability, and conformational behavior of complex molecules. Our platform models molecular interactions at the electron level from first principles, enabling: Prediction of binding affinity and interaction mechanisms Simulation of conformational dynamics and environment transitions (e.g. aqueous ↔ lipidic) Optimization of peptides, PDCs, and ADCs before synthesis Derisking of drug candidates in discovery and in-licensing Unlike AI-first approaches, PexMachina does not rely on cross-program data aggregation. Each project remains isolated. The advantage comes from accurate physics-based simulation, generating high-fidelity molecular data where experimental or training data is limited. PexMachina is relevant for: Physics-based drug discovery Molecular simulation beyond DFT approximations AI + simulation workflows requiring high-quality data Complex modalities where standard methods fail When molecular complexity increases, approximation breaks down. PexMachina provides the physics needed to make reliable decisions.

Quantum Signals builds finance‑native AI for intraday systematic trading. Our models are trained on Level II limit‑order‑book (LOB) data to produce mid‑price direction probabilities (up / flat / down) across short horizons (1m to end-of-day). We deliver these as production‑ready signals—a baseline you can benchmark beside your existing models—so teams can tighten entry timing, reduce chop, and iterate faster. Current coverage: US futures (equity indices; other contracts on request) Delivery: API We work with QIS teams, PMs, and quant researchers at banks, funds, and prop firms. Now onboarding an early cohort.

Agentic AI for industrial optimization and control using ensembles of specialized agents and models.

We develop ultra-accurate models for chemistry and materials science.

Creating the lowest power RF front-end chipsets for the next generation of phased array antennas.

Quantum Rings is the universal quantum development platform enabling all developers to build quantum apps.

Kipu Quantum is a German quantum computing startup based in Karlsruhe and Berlin. We meet customer needs by tackling real-world problems for a variety of business domains. What makes Kipu unique is our focus on application- and hardware-specific quantum algorithms that are packaged into software products. Kipu operates at the nexus of customer use cases, hardware platforms, and the software layer - because quantum computers are still more than 10 years away from solving meaningful problems with standard approaches. We intend to drastically reduce the time to useful quantum computing - our solutions enable customers to derive value from quantum computing years ahead of other approaches, i.e. not just in the distant future.

PexMachina is a physics-first molecular simulation platform for drug discovery, focused on complex therapeutics such as peptides, PDCs, and ADCs. We are used when conventional tools like Schrödinger and AI-driven approaches reach their limits—particularly in predicting binding affinity, molecular stability, and conformational behavior of complex molecules. Our platform models molecular interactions at the electron level from first principles, enabling: Prediction of binding affinity and interaction mechanisms Simulation of conformational dynamics and environment transitions (e.g. aqueous ↔ lipidic) Optimization of peptides, PDCs, and ADCs before synthesis Derisking of drug candidates in discovery and in-licensing Unlike AI-first approaches, PexMachina does not rely on cross-program data aggregation. Each project remains isolated. The advantage comes from accurate physics-based simulation, generating high-fidelity molecular data where experimental or training data is limited. PexMachina is relevant for: Physics-based drug discovery Molecular simulation beyond DFT approximations AI + simulation workflows requiring high-quality data Complex modalities where standard methods fail When molecular complexity increases, approximation breaks down. PexMachina provides the physics needed to make reliable decisions.

Quantum Signals builds finance‑native AI for intraday systematic trading. Our models are trained on Level II limit‑order‑book (LOB) data to produce mid‑price direction probabilities (up / flat / down) across short horizons (1m to end-of-day). We deliver these as production‑ready signals—a baseline you can benchmark beside your existing models—so teams can tighten entry timing, reduce chop, and iterate faster. Current coverage: US futures (equity indices; other contracts on request) Delivery: API We work with QIS teams, PMs, and quant researchers at banks, funds, and prop firms. Now onboarding an early cohort.

Agentic AI for industrial optimization and control using ensembles of specialized agents and models.

We develop ultra-accurate models for chemistry and materials science.