Founder profile and partner experts
Start with the founder's point of view, then meet the AI experts who strengthen product thinking, technical execution, and governance depth.
Who we are building with
Founders, operators, and technical teams that need AI work to become dependable delivery.
Founder spotlight
Founder section
BITSTRIC
Founder & Principal Architect
Regional APAC / SG / MY
He believes that AI Agentic Services shall earn Trust from users, to forge long-term continued Augmentation 'Right to Serve', by total Traceability on all stages of AI Pipeline
Current focus
Deliver defensible, audit-ready AI capabilities that integrate directly into critical business operations, not experimental pilots.
Origin story
Lance brought decade of experience of shipping production software across industries into the company. He believes that Agents and AI, shall be tools that beneftis all working professionals, help companies streamline workflows, and allow one to pursue things of greator than themselves.
Operating philosophy
Lance operates with a Security-First, Sovereignty-driven mindset, prioritizing control over data, systems, and outcomes. He rejects superficial execution in favor of deep, engineering-grade solutions that withstand regulatory and enterprise scrutiny. Every engagement is treated as a structured system—auditable, repeatable, and scalable. Growth is pursued through disciplined efforts, and reciprocal partnerships.
What we build with clients
We partner with organizations to co-develop Scalable, Compliance-First AI Ecosystems. We don't just deploy models; we engineer end-to-end solutions that integrate deeply with existing workflows in Legal Finance, Compliance, Logistics, Manufacturings and Robotics.
Current focus
Our current strategic horizon is defined by Agentic First—AI Service at large, and with specificity in Sovereign AI System Integration. We are hyper-focused on: Agentic Frameworks, Compute Efficiency, Deterministic Governance
AI Scientist & Consultant
AI Strategy Partner
ex C3.ai
BIO
Song sharpens enterprise AI adoption strategy by neutralizing operational and compliance risks early. He bridges the gap between raw AI ambition and execution, translating complex architectural requirements into board-defensible, sequenced rollout plans that delivery teams can successfully execute.