Zerivant is a boutique, founder-led AI engineering firm for medium and large enterprises. We bring the rigor of physics and the discipline of systems engineering to AI — from strategy through deployed, governed solutions. Senior engineers do the work.
The zeroth law. The invariant. A timeless constant. AI that is reliable, safe and universally applicable.
We adopt AI the way serious systems are engineered — examined from first principles, made observable, and held to invariants that survive every transformation. Each pillar is delivered by senior engineers, end to end.
LLM and agentic applications, retrieval and knowledge systems, and the MLOps around them — tailored to your data and workflows, engineered for production, not demos.
Strategy, architecture, and governance for enterprises adopting AI with intent — every recommendation shaped to your data, workflows, and constraints, so investment lands where it endures.
A designed timeline, not a black box. We examine the starting state, fix the properties that must hold, engineer against them, and operate what we ship.
Examine the starting state — data, systems, constraints, and readiness. We measure before we build, so decisions rest on evidence, not assumptions.
Fix the properties that must hold under every transformation — safety, governance, performance, and cost boundaries. These become the contract for the work.
Build against the invariants with senior engineers — evaluated, observable, and reproducible. Full-stack accountability, from model to deployment.
Run, monitor, and improve in production. Client-owned architecture means what we hand over stays yours — observable and built to last.
Every part of the name is a commitment about how we work.
Asimov's Zeroth Law and the zeroth state in physics — the examined starting point. Nothing is assumed; the ground truth is established first.
The property that holds under every transformation. In our work it is the guarantee that survives change — safety, correctness, and governance that do not drift.
Composable, observable, and built to last. AI is engineered as a system — accountable end to end, not assembled from disconnected parts.
Our principles govern the engineering; the 4C values govern how we show up. Precision over hype, in both.
Senior engineers with depth across AI, infrastructure, and distributed systems.
First-principles problem solving tailored to each client's real constraints.
Founder-led delivery. We own outcomes end to end, not just deliverables.
Invariants that hold — reliable behavior across every transformation and release.
Your data stays under your control — on-prem or private cloud, with clear residency and boundaries.
Observable systems with evaluation and traceability built in, so behavior can be inspected and proven.
What we build is yours to run. No lock-in, no dependency on us to keep it working.
Vendor-neutral, interoperable foundations that fit procurement and security review.
Serving serious organizations across Southeast Asia, the Middle East, and Europe — with secure, multi-region delivery.
Ion is a senior founder-engineer specializing in AI engineering, agentic systems, and the development practices required to operate them reliably at scale. His experience spans platform engineering and distributed systems across fintech, banking, telecommunications, security, and AI. He has also built and led engineering and platform teams.
Zerivant is intentionally founder-led: the person designing the agentic architecture is also accountable for shipping, hardening, and handing over the resulting system. Ion’s work sits at the intersection of AI engineering, agent harness design, and multi-agent orchestration—turning complex ideas into practical systems that can be operated and trusted over time.
We start where every serious engagement should — by examining your starting state. Tell us where you are, and we will map what reliable, governed AI looks like for your organization.
Prefer email? Reach us directly at contact@zerivant.ai