Consulting, Analysis, Advice
Updated September 2025. We help teams add intelligence to products and decisions with advanced mathematical modeling and practical AI/agent systems.
Our main focus is advanced modeling of complex data sets:
- Custom LLMs & Agent Pipelines (LangGraph/LangChain, tool orchestration, eval, guardrails)
- Graph & Hypergraph ML (GNNs, simplicial analytics with SHE™)
- Logic- & Topology-guided Learning (multimetrics, p-adic/ultrametric models)
- Time-Frequency & Signal Analysis
- Higher-Dimensional Data Modeling
- Structure-aware Generation (Logical GANs)
In-house expertise with open-source libraries & tools:
- PyTorch and Hugging Face Transformers
- LLM Ops: retrieval, memory, evaluation, prompt/agent testing
- Quantum/Hybrid Prototyping with PennyLane / Qiskit (for Q-Trace™)
- Probabilistic & Bayesian Modeling (Bayes nets, fuzzy/probability logic)
- Graph Databases: Neo4j, Neptune
- Distributed ML: Apache Spark, Apache Hadoop
Platforms & stack:
- Azure: Container Apps, Blob, Redis, Key Vault, App Insights
- AWS: SageMaker pipelines, Neptune
- Data: pgvector/PG-VectoR, Redis Vector, Parquet/Delta
- Languages: Python (NumPy, Pandas, PyTorch), Scala (Cats)
Products you can adopt or customize:
- HyRI™ — Hybrid Research Intelligence (agentic briefings, verified packs)
- HU-SOLO™ — Personal Cognitive Agent (memory-centric coaching tools)
- SHE™ — Social Hypergraph Engine (diffuser centrality, higher-order relations)
- Q-Trace™ — Quantum/weak-value analytics toolkit
If you need to add intelligence to your applications (finance, research, security, or e-commerce), we can scope a focused 2-week sprint and deliver a working demo.