Train & fine-tune
Dataset design, supervised training, transfer learning, SFT, LoRA/QLoRA, PEFT, domain adaptation, hyperparameter search, distributed training, and reproducible experiments.
AI/ML Engineering · Scientific Computing · Hard Science
Compute the difficult.
Scirizz designs, trains, fine-tunes, evaluates, compresses, and deploys AI/ML models for scientific and engineering problems—then connects them to simulation, high-performance computing, cybersecurity, compilers, biotech, physics, chemistry, and mission systems.
Model training + fine-tuningQuantization + inference optimizationGPU · Edge · On-prem · HPC
AI / ML engineering
From training data to optimized inference.
We work across the complete model lifecycle—not just API integration. Scirizz can build a model from scratch, adapt an existing foundation model, improve accuracy, reduce memory and latency, and deploy it where the workload actually runs.
Evaluate & improve
Task-specific benchmarks, calibration, confusion/error analysis, robustness, uncertainty, ablations, model selection, synthetic-data evaluation, and failure-mode discovery.
Compress & deploy
INT8/INT4/FP8 quantization, pruning, knowledge distillation, ONNX export, TensorRT/OpenVINO optimization, batching, GPU/CPU/NPU tuning, edge and private deployment.
Core capabilities
Deep technology, built around the science.
We combine scientific reasoning, numerical methods, AI/ML, and systems engineering so the software fits the physics, biology, data, and mission—not the other way around.
AI/ML Model Engineering
Custom model development, training, fine-tuning, evaluation, distillation, pruning, quantization, multimodal AI, computer vision, scientific ML, and high-performance inference.
Explore AI/ML →AI-Powered Cybersecurity
AI model and agent security, software assurance, vulnerability analysis, cyber anomaly detection, secure code modernization, model supply-chain protection, and private security tooling.
Explore cybersecurity →Simulation & Modeling
Numerical simulation, ODE/PDE systems, Monte Carlo methods, digital twins, inverse problems, sensitivity analysis, and optimization.
Explore simulation →Compilers & Acceleration
Compilers, transpilers, intermediate representations, runtime optimization, model compilation, heterogeneous compute, and performance engineering.
Explore computing →Biotech & Bioinformatics
Computational biology, omics pipelines, systems biology, sequence and literature intelligence, scientific data engineering, and AI-assisted discovery.
Explore biotech →Defense & Mission R&D
Sensor analytics, EO/IR and computer vision, mission simulation, edge AI, autonomy support, decision systems, and secure technical software.
Explore defense →Physics, Chemistry & Engineering
Scientific computing for computational physics, chemistry, optics, materials, control, signal processing, and demanding engineering systems.
Explore hard science →BiotechDiscovery + bioinformatics
CybersecurityAI + software assurance
DefenseMission + sensor systems
PhysicsModels + inverse problems
EngineeringSimulation + optimization
AI/MLTrain · tune · optimize
Products & technical IP
Platforms for hard technical problems.
Scirizz is building a ten-product deep-tech portfolio spanning AI security, portable computing, simulation, scientific agents, biotechnology, and multimodal sensing.
AI cybersecurityDesign partner
Scirizz SciGuard
AI model, agent, supply-chain and runtime security for private, on-prem and air-gapped environments.
Model scanningAgent securityRed teaming
Portable computeTechnology preview
Scirizz ForgeIR
Cross-architecture compiler and runtime technology for scientific kernels and AI inference across heterogeneous hardware.
LLVM / MLIRONNXCPU / GPU / NPU
SimulationIn development
Scirizz SimuCore
AI-accelerated numerical simulation, digital twins, uncertainty analysis and inverse-problem workflows.
ODE / PDEDigital twinsUQ
BioinformaticsDesign partner
Scirizz BioGraphX
Private AI bioinformatics, omics, scientific knowledge graphs and reproducible research-agent workflows.
OmicsKnowledge graphScientific AI
How we work
From difficult research question to working technical system.
Scirizz combines domain science, AI/ML research, model engineering, software systems, and compute infrastructure in one team. We can train or adapt models, benchmark them, compress and optimize them for target hardware, integrate them with scientific workflows, and harden the resulting system for deployment.
Bring us the hard part
A difficult technical problem is a good place to start.
Whether you need a scientific software prototype, a specialized AI system, a simulation platform, or performance engineering on an existing codebase, we can scope an evidence-driven path forward.
Start a technical conversation →