Collaborate
Bloodhound is not a product—it is a research framework seeking the right partners to bring automated deep research from theory to practice. The funding structure mirrors the framework itself: multiple pillars, each self-contained, each strengthening the whole.
Funding Pillars
Core Engine
Build the Bloodhound VM runtime: the St-Hurbert execution engine, Triangle DSL compiler, ternary categorical memory, and Maxwell demon controller. This is the computational substrate everything else runs on.
- •Production Triangle compiler with type checker
- •Ternary memory system with categorical addressing
- •St-Hurbert engine with S-entropy conservation
- •Maxwell demon resource controller
- •Formal verification of core invariants in Lean 4
Domain Compilers
Create domain-specific language model compilers for target domains: genomics, proteomics, clinical imaging, environmental monitoring. Each compiler enables surgical extraction from a new modality.
- •Genomics compiler (variant calling, GWAS, expression)
- •Proteomics compiler (structure, function, interactions)
- •Clinical imaging compiler (radiology, pathology)
- •Knowledge distillation pipeline (teacher → student)
- •Observe bridge architecture for new modalities
Federated Network
Deploy the federated understanding protocol across institutional networks. Structural privacy enables multi-institution collaboration without data sharing agreements for irrelevant data.
- •Multi-node coordination protocol
- •Structural privacy implementation
- •Cross-institutional validation framework
- •Variance restoration for distributed convergence
- •Pilot deployment across 3–5 research institutions
Metacognitive Intelligence
Develop the full metacognitive pipeline: question decomposition, resource allocation, DPP candidate generation, multi-dimensional quality evaluation, and refinement orchestration.
- •Question decomposition engine
- •Information-yield resource allocator
- •DPP-based diverse candidate generator
- •5-dimension quality evaluation framework
- •Autonomous refinement orchestrator
Validation Infrastructure
Build the multi-expert validation layer: domain-expert consensus models, adversarial quality assessment, and formal verification integration with proof assistants.
- •Domain-expert consensus protocol
- •Adversarial evaluation framework
- •Lean 4 / Coq integration for formal proofs
- •Validation-entropy correspondence metrics
- •Reproducibility and provenance tracking
Clinical Translation
Apply the complete framework to real clinical research problems: multi-omics disease characterization, pharmacovigilance across regulatory jurisdictions, precision medicine investigations.
- •End-to-end clinical research automation
- •Multi-omics disease characterization pipeline
- •Cross-jurisdictional pharmacovigilance demo
- •Precision medicine case studies
- •Regulatory compliance documentation
Collaboration Tracks
Research Partnership
Joint research on automated deep research methodology. Contribute domain expertise, data access, or theoretical advances. Co-authorship on publications.
Domain Compiler Development
Help build domain-specific compilers for your field. If you have deep expertise in a scientific domain and curated training data, you can enable surgical extraction for your entire community.
Infrastructure Partnership
Contribute to the distributed runtime, networking protocol, or formal verification infrastructure. The framework needs high-performance distributed systems expertise.
Pilot Deployment
Deploy federated understanding across your institutional network. Be among the first to demonstrate automated multi-institutional research without centralized data sharing.
Strategic Investment
Fund one or more pillars of the framework development. Each pillar is independently valuable while contributing to the whole. Clear deliverables, measurable milestones.
Open Source Contribution
The core framework will be open source. Contribute to the Triangle compiler, domain compilers, validation infrastructure, or documentation.
Ready to build the future of research?
Whether you bring domain expertise, engineering capability, institutional access, or funding—there is a place for you in this framework.