A founder-led platform converting a new scientific and computational base into product lines for AI software security, advanced materials, biopharma dry-lab, quantum/PQC, accelerator facilities, robotics and sensors, energy/datacenter, semiconductor/hardware, critical infrastructure, and sovereign deployment.
Đây không phải câu chuyện “một công cụ kiểm tra”. Đây là hạ tầng công nghiệp tiên tiến đa lĩnh vực, có thể đóng gói thành pilot, dossier, local runner, audit pack và licensing path.
AI tools, scientific automation, quantum workflows, robotics, sensor systems and infrastructure control are all moving faster than review, provenance, safety, audit and deployment governance. BivectorAI sits at this gap: it turns advanced technical outputs into customer-safe industrial packages with clear evidence, boundaries and next actions.
Điểm chen vào: không bán “AI nói hay hơn”. Bán lớp hạ tầng giúp sản phẩm công nghiệp đi từ kết quả kỹ thuật thô sang hồ sơ có thể review, audit, pilot và triển khai có kiểm soát.
Public material should not expose the protected math-physics core, candidate-generation rules, internal algorithms, RBFVN/RIQG implementation details, BPU internals, unfiled claim material, or proprietary datasets.
What to showShow industrial domains, deliverables, internal audit counts, paid pilot surfaces, customer pain, deployment modes, IP boundary and external-validation roadmap.
Each line has a concrete customer, concrete pain, concrete output and explicit non-claim boundary.
| Product line | Customer pain | BivectorAI output | Boundary |
|---|---|---|---|
| AI Software Security & Local Enterprise Runner | Enterprise teams want AI coding tools but cannot risk IP leakage, unsafe patches, hidden dependency drift or unreviewed code mutation. | VSCode thin client, CLI, local/air-gapped runner, diff report, protected path policy, evidence manifest, reviewer pack. | Static/code-review evidence only; not a runtime firewall or bug-free guarantee. |
| Advanced Materials Candidate Index | Materials teams need high-quality candidates across superconductors, semiconductors, batteries, catalysts, photonics and thermal materials, but raw discovery output is hard to trust or review. | Candidate index, class grouping, property fields, provenance, hash manifest, novelty/claim boundary, review-ready investor/customer summary. | Pre-experimental; no synthesis success, no device performance claim without external lab validation. |
| Biopharma / CRO Dry-Lab Dossier | Drug teams and CROs need organized, reproducible pre-CRO evidence before spending wet-lab budget. | Molecular identity, target mapping, docking/contact evidence, novelty boundary, disease/target grouping, CRO handoff package. | In silico / dry-lab only; no clinical efficacy, no IC50/Kd/EC50 claim unless externally measured. |
| Quantum & Post-Quantum Evidence Packs | Banks, quantum teams and regulated infrastructure need migration plans, workload evidence and documentation they can explain to boards and technical reviewers. | PQC inventory plan, QASM/QEC workload evidence, failure-fixture report, review pack and migration evidence roadmap. | No quantum advantage claim; no cryptographic-library certification without independent testing. |
| Accelerator Facility / HPC Evidence Gates | Large facilities need better readiness, provenance and review packs around beamtime, experiment pillars, events, HPC energy and construction/milestone records. | Beamtime readiness report, event provenance pack, HPC energy evidence, milestone record, pillar-level readiness index. | Not accelerator control and not physics approval; evidence for human technical review. |
| Robotics, Radar, Sensor & Physical Action Review | Industrial systems need a safe way to review sensor-driven actions before they affect robots, drones, vehicles, equipment or physical infrastructure. | Sensor topology report, radar/telemetry adapter output, boundary report, rollback record, human-approval packet. | Advisory/review mode unless certified external control stack exists. |
| Critical Infrastructure / Sovereign Appliance | Governments, defense-facing operators and regulated enterprises need evidence packs that stay inside customer-controlled or air-gapped boundaries. | Topological SBOM, causal forensics, maintenance ledger, chain-of-custody, air-gapped evidence export, customer-key deployment. | Defensive assurance only; no offensive cyber, no autonomous harmful action. |
| Hardware, Semiconductor & BPU Direction | Long-term AI infrastructure needs compute and substrate designs beyond ordinary tensor-only architectures. | IP architecture, hardware roadmap, materials/hardware candidate tracks, potential licensing to semiconductor/infrastructure partners. | Long-horizon IP upside; not near-term silicon revenue until external partner validation. |
Materials index, CRO dry-lab dossier, PQC migration evidence, facility readiness pack. Low-friction first revenue: customer pays for a review-ready package.
4–8 week pilot with defined input data, acceptance criteria, evidence outputs, boundary notes, and next commercial step.
VSCode/CLI + local runner + internal evidence registry for AI-code review, security, regulated audit and customer-controlled deployment.
Domain-specific infrastructure licensing, sovereign appliance, hardware/IP licensing and co-development with semiconductor or industrial partners.
USPTO nonprovisional strategy, Vietnam NOIP filings, counsel review, claim pruning, trade-secret boundary discipline.
CRO review, materials expert review, security benchmark extension, facility partner feedback, quantum/PQC technical review.
VSCode/CLI, local enterprise runner, evidence pack generator, customer-safe redaction, installer, documentation and pilot dashboards.
Security engineer, computational chemistry/materials advisor, Rust/backend engineer, IP counsel, commercial pilot support.
Founder: Dam Van Vi · Vietnam · ORCID 0009-0006-6039-0989