Why we're building TRAIL
We started KorrAI to monitor ground deformation on critical infrastructure using satellite data. Millimeter-scale precision on where the earth moves. But working with operators and engineers, we hit the real constraint: synthesis.
A closure engineer inherits decades of scattered data. Satellite imagery, water monitoring, geology reports, soil surveys, historical records, regulatory filings. They spend weeks manually reconstructing site history before they can assess remediation options. Regulators re-ask the same questions because there's no traceable record of what was checked and why.
The bottleneck isn't data availability. It's operationalizing all of it: building a workspace where closure teams can ingest multi-modal sources, surface what matters, and produce reports that cite everything. We call it TRAIL.
The thesis
Billion-dollar infrastructure decisions rest on scattered evidence. Mining closure, construction risk, data center siting are high-stakes, high-evidence environments. Being wrong costs regulatory delays, remediation overruns, or worse.
AI won't replace closure engineers or regulators. But AI can do what humans shouldn't: hunt through thousands of satellite images, cross-reference water monitoring across decades, surface anomalies, connect disparate data sources. The closure engineer uses that synthesis to make the actual decision: the one that moves.
The winners in AI-for-infrastructure aren't companies that replace expertise. They're companies that operationalize evidence synthesis so experts can spend their time on judgment, not paperwork.
What we're doing
We're running closure and remediation assessments across tier-1 mine operations in Canada. We're working with regulatory and federal-care closure teams on legacy sites. Our customers are in active discussions for multi-site rollouts across their operating portfolios.
We're expanding that footprint and we need Implementation Specialists to own the deployment at each site.
What we're looking for: Implementation Specialist
You're a geotechnical engineer, closure specialist, or environmental engineer with 5+ years of site assessment or closure experience. Your expertise is rooted in one core area: whether that's geotechnical assessment, hydrology, closure operations, regulatory workflows, or environmental engineering. But you have hands-on closure experience across the problem space. And you're genuinely interested in how AI and agentic workflows can change how closure assessment gets done.
You've worked with operators, regulators, or both on closure assessments and remediation planning. You understand what evidence matters to regulators, what moves risk engineers, what gets signed off on.
You're comfortable with early-stage deployments (we're not at turn-key yet). You want to be in the field more than in the office. And you see a tool that could actually change how closure gets assessed and you want to own that transformation operationally.
What you'll do:
Initial intake: Work with site operators and engineers to understand closure scope, data landscape, and decision timeline
Data synthesis: Coordinate with our data team to ingest site-specific sources (satellite, water, geology, operations records, regulatory filings)
Workflow customization: Build closure-specific playbooks (artifact templates, citation structures, decision workflows) so TRAIL's synthesis matches how that site's team actually works
Deployment to operations: Walk the closure team through the platform, integrate it into their review cycles, ensure the first assessment lands traceable and trusted
Feedback loop: Sit with the team through their first closure decisions, capture what worked, feed findings back to product
You're operationalizing a new way closure assessment happens: one site at a time.
The offer:
Salary: $120k–$150k CAD (negotiable based on experience)
Equity: Early-stage grant (vesting over 4 years, 1-year cliff)
Remote-first: Distributed team across Halifax, Toronto, and remote. You split time between site visits and platform work. Flexibility on location.
Logistics: North America–based. Early deployments concentrated in Eastern Canada; we'll expand from there. You'll own the deployment cadence and work closely with our product and data teams.
Before you apply:
We want to understand your perspective on the problem. Send a short response (a paragraph or two) to these questions:
What's the biggest bottleneck you've seen in how closure assessments actually get made? Think about the data, the decisions, the timeline, the back-and-forth with regulators. What slows things down most?
If you could offload one part of closure assessment to an AI agent something that currently eats weeks or months what would it be? And what would that actually solve for you operationally?
We're not looking for polished responses. We're looking for people who've thought about this problem deeply.
Why this matters
Closure is operationally broken. Sites sit unremediated for years. Decisions get delayed because evidence is scattered. Regulators can't verify what was checked. We're building the tool that fixes this.
If you've spent years assessing closure sites, and you see a tool that could actually change how it gets done, and you want to own that transformation operationally, reach out.