About us
Where AI Meets Enterprise Demands — With Reasoning You Can Trust
We close the gap between AI’s potential and the rigorous requirements of enterprise operations. Our platform delivers intelligence that doesn’t just predict — it reasons.
Traditional LLMs are powerful but unpredictable. For regulated industries, "good enough" isn't enough.
| Context Problem | LLMs lack domain grounding and fail to isolate sensitive data — a critical gap in regulated workflows. |
| Black Box Problem | Opaque outputs create liability. Without transparent heuristics, enterprises cannot trust or verify AI decisions. |
| Hallucinations | Fabricated facts are unacceptable. In compliance‑driven sectors, every statement must be grounded in verifiable sources. |
Use Case:
Traditional Chinese Medicine
TCM Enterprise AI Assistant
A state‑of‑the‑art implementation of our platform, designed to support doctors with safe, explainable references — never replacing them, always augmenting their expertise.
Product Demo
Verifiable, Heuristic‑Driven AI Workflow
Empowering professionals across the medical ecosystem
Our Team
Meet Our Experts
A dedicated team of experts combining deep domain knowledge with cutting-edge AI technology
Onboarding Soon
Gerry Lin
COO
His expertise ensures the seamless integration of AI solutions into enterprise workflows, driving growth and client success.
Dr. Teng Teck Hou
Chief Scientist
His work focuses on advanced AI reasoning, knowledge graph technologies, and neuro-symbolic fusion to deliver predictable and explainable enterprise AI.
Our Board of Advisors
Meet Our Advisors
Our advisory board brings together a dedicated team of experts who unite deep domain knowledge in Traditional Chinese Medicine with cutting‑edge expertise in artificial intelligence. This unique blend ensures that our platform is both clinically grounded and technologically advanced, delivering solutions that are safe, explainable, and aligned with the highest industry standards.
Assoc Prof Lim Meng Hiot
Deputy Director, MSc FE, NTU Singapore
Editor‑in‑Chief of Memetic Computing
Pioneer in AI optimization with 5,800+ citations, with research interest in computational intelligence, evolvable hardware, finance, algorithms for UAVs and memetic computing, guiding scalable and rigorous system design
Dr Ning Yan
Director of TCM, SZMCH Hospital
Onboarding Soon
TCM Enterprise AI Assistant Roadmap
MVP is coming soon
Our phased roadmap ensures systematic development and validation of the TCM AI Assistant platform
Phase 1: MVP
Current
- Core TCM foundational knowledge
- Basic knowledge graph
- Chinese interface
- Essential APIs
Phase 2: Expansion
Next 6 months
- Extended knowledge library
- Advanced reasoning
- Multi-language support
- Enhanced UI
Phase 3: Scale
Next 12 months
- Full TCM corpus
- Platform capabilities
- Enterprise features
- Global deployment
Building the future of enterprise AI assistants
Starting with Traditional Chinese Medicine, our team combines expertise in AI research, domain knowledge, and user experience design to create tools that empower professionals with safe, explainable, and verifiable AI support.
Innovation
Pushing the boundaries of hybrid AI systems that combine neural and symbolic reasoning
Safety
Ensuring every output is traceable, verifiable, and safe for clinical and enterprise use
Excellence
Delivering enterprise-grade solutions that meet the highest standards of quality
Reach Out to Us Today
We're always looking for talented individuals who share our passion for building the future of enterprise AI. If you're interested in joining our team, we'd love to hear from you.
