Research to Reality: Codifying Domain Expertise into Scalable Intelligence

We eliminate the engineering bottleneck for domain experts, transforming research into scalable, market-ready products.

Your Technical Partner

Our Methodology

A three-stage translational process from domain expertise to production-ready AI systems

1

Knowledge Codification

Transform implicit domain expertise into structured, computable knowledge representations that AI systems can leverage.

2

Architectural Design

Engineer the optimal AI architecture (whether neuro-symbolic, agentic, or hybrid) matched to specific regulatory and operational constraints.

3

Human-AI Integration

Ensure expert control through full transparency, explainability, and audit capabilities at every decision point.

Technical Stewardship

We offer more than just code — we provide end-to-end support throughout the entire product lifecycle:

We Translate

Turn abstract requirements into robust, scalable software

We Advise

Refine product roadmaps to be technically grounded and commercially viable

We Guide

Navigate regulatory compliance, data security, and model explainability

This methodology scales across any domain with complex expertise and accountability requirements — finance, healthcare, manufacturing, legal, and beyond.

Who We Are

We exist to solve a critical gap in the innovation landscape: The disconnect between deep domain expertise and production-grade software engineering.

Forged from Mythology, Built for the Future

In Greek mythology, Hephaestus was the god of invention, craftsmanship, and technology. He never sought to replace the other gods. He sought to empower them, forging divine tools that were purpose-built, precise, and masterfully crafted.

We believe the most powerful AI doesn't replace human experts. It elevates them. Our name, Hepha AI, is a constant reminder of this core philosophy.

Inspired by his divine craftsmanship, we forge AI systems that empower human mastery. We build for the expert, empowering them to navigate complexity with greater confidence than ever before.

What We Do: Translational Engineering

We are a team of award-winning, PhD-level data scientists and enterprise architects who specialize in bridging the critical gap between research concepts and commercially viable solutions.

From TRL 2 to TRL 7

Many researchers and industry veterans possess groundbreaking research concepts or deep institutional knowledge but lack the specialized engineering capability to translate those insights into robust, secure, and marketable products.

Hepha AI bridges this gap. We take deep domain expertise and research concepts (TRL 2) and engineer them into commercially viable, operationally ready solutions (TRL 7).

TRL 2
Technology Concept Formulated
Research concepts & theoretical frameworks
Hepha AI's Translational Engineering Process
TRL 7
System Prototype in Operational Environment
Commercially viable, operationally ready

Our Dual Competency

Our value lies in combining scientific rigor with engineering excellence

Scientific Literacy

We possess the rigor to translate complex research into technological innovation, moving beyond static rules to dynamic, contextual reasoning.

Engineering Rigor

We understand that real-world AI requires more than just high accuracy; it demands explainability, fairness, and security. We engineer systems that can withstand the scrutiny of regulated industries, transforming static models into defensible intellectual property.

Hepha AI is the foundry where your research becomes a product

We partner with innovators at any stage of the innovation lifecycle. Our only prerequisite is deep domain authority. Even if you hold only a raw theoretical concept, we act as the execution bridge to bring it to life.

Our Current Portfolio

Turning Complexity into Utility: Distinct ventures demonstrating our versatility across different AI architectures and industries

Flagship

Complex Reasoning: The Neuro-Symbolic Copilot

Flagship Case Study

The Challenge:

Building an AI that can reason like a human expert without "hallucinating," suitable for high-stakes financial environments.

The Solution:

We engineered a Neuro-Symbolic Reasoning Engine that synthesizes Large Language Models (LLMs) with proprietary Knowledge Graphs. This "closed-loop" system grounds Generative AI in factual data, creating a system that generates natural-language explanations for its decisions.

The Capability Demonstrated:

Grounded Generative AI that is fully explainable and transparent.

Status:

Functional prototype (TRL 5) advancing to commercial pilot (TRL 7).

Regulatory Intelligence

Compliance AI

The Challenge:

From clinical documentation and patient safety protocols to transaction monitoring and risk assessments, organisations managing sensitive data are drowning in compliance complexity while regulatory scrutiny intensifies.

The Solution:

We are turning unstructured operational data into rigorous, evidence-based insights. Our engines automate the mapping of complex, real-world activities against strict regulatory quality standards, turning compliance from a manual burden into a real-time digital asset.

The Capability Demonstrated:

Compliance AI: Turning unstructured, high-volume operational data into structured, regulatory-grade intelligence.

Status:

Active development in partnership with domain research experts; proceeding to Proof of Concepts (POCs) with enterprise partners.

Agentic Communications: The Oncology-Grade Engagement System

Clinical AI Agents

The Challenge:

High patient loads force doctors to sacrifice communication quality for speed. Standard LLMs lack the domain specificity required for complex fields like Oncology and fail to adhere to strict clinical safety protocols regarding consent and accuracy.

The Solution:

We engineered an Agentic Communication System that functions not just as a chatbot, but as a safe, autonomous workflow handler. The core technology utilizes a next-gen RAG architecture coupled with LLMs specifically trained on oncology knowledge (enhanced by human specialists). Crucially, the system integrates deep safety features, including automated consent checks and mandatory "review-before-send" safeguards.

The Capability Demonstrated:

Domain-Specific Agentic AI: Combining deep clinical expertise with autonomous agentic workflows that prioritize patient safety and data privacy.

Status:

MVP ready to be deployed for paid pilots with partners in Hong Kong.

Our Leadership

Award-winning, PhD-level data scientists and enterprise architects with proven track record at national scale

Proven Scale: Our leadership previously architected Singapore's first AI Health Claim Solution, which scaled to process over 50% of the nation's Integrated MediShield claims.

Dr. Zha Wei

Dr. Zha Wei

CEO

Strategic Commercialization

Former Director of Machine Learning Solutions who has successfully commercialized complex AI systems across five countries, bridging the gap between technical possibility and market needs.

Dr. Li Lu

Dr. Li Lu

CTO

Technical Architecture

The driving force behind Singapore's pioneering end-to-end AI claims solution. He specializes in translating high-level business objectives into robust, scalable technical strategies.

Jin Dongyang

Jin Dongyang

CAIO

Operational Execution

A formidable execution leader who deployed complex AI projects across Southeast Asia — delivering major deployments four months ahead of schedule and optimizing user decision metrics by 67%.

Get Started

Interested in codifying your ideas into production-grade AI systems?
Connect with us to explore how we can help transform your vision into reality.