Enterprise AI Consulting & Engineering
HilmaCorp AI is an engineering-first consulting firm. We help enterprises, governments, and research institutions turn artificial intelligence into secure, scalable, and measurable capability — from strategy through production operations.
What we do / 01
We define AI strategy with the discipline of systems engineering: honest readiness assessments, defensible roadmaps, and governance that boards and regulators recognise.
See how we adviseWe design, build, and operate production AI systems — LLM platforms, intelligent agents, private infrastructure — to the standards of mission-critical software.
See what we buildWe conduct applied research on the questions our clients face in production: evaluation, reliability, and the secure deployment of large language models.
Read our researchServices / 02
Service / 01
Assessments, roadmaps, and investment cases grounded in what is technically real today.
Service / 02
Language models integrated into your systems with evaluation, guardrails, and observability.
Service / 03
Assisted and autonomous agents designed for reliability in regulated workflows.
Service / 04
Inference platforms, orchestration, and MLOps built for scale and data sovereignty.
Service / 05
Models and pipelines that run entirely inside your perimeter. Your data never leaves.
Service / 06
Policies, controls, and audit trails that make AI defensible to boards and regulators.
Approach / 03
Every engagement follows the same disciplined sequence. It is how we keep AI projects auditable, reversible, and on budget.
We audit your data, systems, and organisational readiness. You receive an honest map of what AI can — and cannot — do for you today.
We design the target system — models, infrastructure, integration, governance — before a line of production code is written.
Senior engineers deliver working software in short, verifiable increments, with evaluation baked in from the first release.
We run what we build: monitoring, model evaluation, incident response, and cost control in production.
Models, regulation, and your business change. We revisit the architecture on a defined cadence, not when something breaks.
Research / 04
Technical report · 2026
A practical evaluation framework for LLM systems in banking, insurance, and government contexts — metrics, test harnesses, and a taxonomy of failure modes.
In preparation
Benchmark · 2026
Throughput, latency, and cost characteristics of quantised open-weight models served on commodity Apple-silicon hardware, measured against cloud baselines.
In preparation
White paper · 2026
Failure modes observed when orchestrating multiple LLM agents on business-critical tasks, and the containment patterns that keep them recoverable.
In preparation
Industries / 05
Our practice concentrates on regulated and mission-critical sectors, where compliance is part of the architecture — not an afterthought.
Leadership / 06
Co-Founder & CEO
Business strategy, partnerships, and enterprise transformation. PhD candidate at Université Laval; data scientist at Desjardins.
Co-Founder & Chief AI Officer
LLM systems, AI infrastructure, and applied research. Sets the firm's technical direction and engineering standards.
Contact
Tell us what you are trying to build — or what you are trying to fix. A senior engineer replies within one business day.