agentic automation

Atomscale is a platform company founded by materials scientists and engineers that applies materials science, AI, and high-performance computing to atomic-scale engineering. It provides real-time visibility, adaptive process control, and agentic automation for manufacturing, capturing and analyzing 100% of process data to surface hidden signals, predict material properties, and accelerate development and qualification cycles.

adaptive process controlAI/ML for materials scienceanomaly detectiondigital twin generationhigh performance computingmetrology integrationpredictive modelingreal-time process monitoring

Cybic is an AI engineering company that designs and deploys enterprise AI solutions, custom AI platforms, enterprise LLM applications, and intelligent automation systems that integrate data, machine learning, and software into core business operations and workflows. It also offers Drava, its enterprise Data Intelligence to Automation platform.

AI/ML developmentAI workflow orchestrationcomputer visioncustom application engineeringdata engineeringintelligent document processingLLM creation and fine-tuningMLOpspredictive analyticsRPASystem integration

LM Studio develops Bionic, an agent for open models that runs natively local on the user's computer. Bionic is built for creativity, work, and code, and can create and edit documents with automatic saving, handle coding tasks, automations, and computer control, and transcribe speech in real time locally. It is powered by the LM Studio runtime with MLX and llama.cpp, and supports running frontier open models such as GLM 5.2, Kimi K3, and DeepSeek V4 Pro. The company states its cloud services are Zero Data Retention (ZDR).

coding assistancecomputer controldocument creation and editingllama.cpplocal LLM inferenceMLXreal-time voice transcription

Forge Applied Science & Technology (F.A.S.T.) is a San Antonio, Texas-based firm serving clients nationwide that delivers healthcare-focused AI implementation and technical, regulatory, and economic feasibility studies. Led by physician-scientist John-Paul Bonansinga, M.D., the company applies Lean Six Sigma rigor, measuring before changing and tying recommendations to verifiable dollar figures.

AI assuranceAI implementationconcept-to-prototype (TRL 1-7)Cost of Poor Quality modelingdata-readiness and AI-readiness auditsdesign for manufactureFDA 510(k) / Class II strategyfeasibility studiesLean Six Sigmaprior-art reviewroot cause analysissystem & API integrationtechnology assessmentValue Stream Mappingworkflow automation