Foundation machine intelligence.Applied AI models built for work.
Foundation machine intelligence.Applied AI models built for work.
We research foundation models, autonomous agent frameworks, and applied intelligence — building AI systems that perform reliably across health, biology, and hardware.
Model research & applied intelligence.
Our AI division focuses on training large sparse models, designing autonomous agent runtimes, and embedding machine learning directly into real-world tools across health, biology, and hardware devices.
- Foundation Models & Sparse Architectures
- Autonomous Agents & Tool Execution
- Applied AI Across Health, Biology & Hardware
- Model Evaluation & Safety Guardrails
Useful intelligence, not just demos.
We believe machine learning models matter when they help people solve real tasks accurately. We prioritize reasoning quality, safety bounds, and structured outputs over vanity benchmarks.
03 / Foundation AI ModelSilas AI
Next-generation foundation model for deep reasoning
Silas is our flagship foundation model. Engineered for deep reasoning, autonomous task execution, and high-performance intelligence across real-world workflows.
SILASFoundation ModelSilas-V1 Pro
Designed for deep code reasoning, architectural synthesis, and multi-file autonomous agent workflows.
Silas-V1 Flash
Optimized for ultra-fast response times, inline assistance, and rapid interactive terminal commands.
What Silas Excels At
Deep Code & Structural Logic
Analyzing large multi-file codebases, understanding complex APIs, and generating robust implementations.
Long-Context Agent Planning
Deconstructing high-level goals into multi-step execution plans with step-by-step verification.
Structured Output Alignment
Strict JSON schema adherence, structured data extraction, and deterministic tool parameter generation.
Deterministic Tool Execution
Interacting safely with terminal APIs, file systems, and external analytical tools.
How Agents Operate
Deconstruct Goals
Break down complex prompts into clear, step-by-step action sequences.
Execute Tools
Invoke APIs, run commands, and read file contents within sandbox boundaries.
Verify Outputs
Inspect execution results against rules, test suites, and expected outputs.
Self-Correction
Automatically adjust tactics upon failure without needing human intervention.
How Models Are Built
Curated Datasets
Filter high-quality code, scientific papers, and domain datasets with strict privacy controls.
Model Adaptation
Adapt base model weights for specialized domain reasoning, code analysis, and high-throughput inference.
Safety & Benchmarks
Test model weights against rigorous safety bounds, reasoning correctness, and latency budgets.
Quantized Serving
Deploy optimized model weights onto low-latency edge endpoints and API runtimes.
Intelligence Across Our Portfolio
KyraDock
Hardware AIIntelligent edge assistant designed for real-time hardware telemetry, peripheral management, and physical computing controls.
SenraOS
Health AIAI health platform built to model stress signals, sleep trends, and clinical analytics.
Explore Healthcare Division →
HelixCLI
Bio ToolingTerminal tool for genomic sequence mapping, structure visualization, and biological data processing.
AI Projects
Silas
ActiveFlagship foundation model engineered for deep reasoning, powering Silas-V1 Pro & Flash.
KyraDock
ActiveOn-device AI assistant engineered for real-time hardware telemetry, voice, and peripheral control.
PrismEval
ActiveModel evaluation framework for testing accuracy, safety boundaries, and latency budgets on real tasks.
LoomAgent
In DevelopmentMulti-step autonomous agent runtime for planning, tool execution, and self-correction loops.
AetherCue
ActiveLow-latency inference prompt engine optimized for rapid on-device completion and edge models.
Research Directions
Inference & Latency Optimization
Optimizing core model execution pipelines for ultra-fast response times and low-latency serving.
Autonomous Agent Safety
Developing real-time verification loops and human-in-the-loop guardrails for agentic tool use.
Domain Adaptation
Fine-tuning specialized model heads for biomedical sequences and hardware telemetry.
Long-Context Memory
Building persistent context compression for multi-session agent reasoning.
Partner with our AI research team
Interested in foundation models, autonomous agents, or applied AI research? Reach out to connect with QeinLabs.