Get Real-Time Tracking and Insights From Your Site Data
Novina Data Innovations converts drone imagery, LiDAR point clouds, and site elevation data into project intelligence for mining, infrastructure, and industrial construction. Focusing on exact progress percentages, volumetric earthwork analysis, schedule forecasting, and automated risk alerts. Helping you stay one step ahead at all times.
Most site data gets captured, but never turned into a executive ready decision data.
Crews fly the site, run the LiDAR scan, upload the orthomosaic and then someone has to eyeball it against a plan set to guess how far along things are. By the time a schedule slip or a boundary problem shows up in a status meeting, it's already a change order.
End-to-End Project Intelligence that deliver Executive-Ready Insights
We don't hand you a raw point cloud and disappear. Novina reads your capture data and gives you back the four numbers a project director actually needs: percent complete, cubic meters moved, when you'll finish, and what needs attention today.
Detailed Analysis from a photo
Upload a planned-site GeoJSON and an as-built capture, and Novina computes completion with 99% accuracy; clipped and area-weighted, not eyeballed. No digitized footprint yet? Upload a raw photo instead and a vision model reads grading, staged material, and structures directly off the image.
Forecasts that follow the real shape of construction progress.
Progress isn't linear; slow mobilization, a fast middle, a slow punch-list finish. Novina fits a logistic S-curve to your full capture history instead of drawing a straight line through the last two points, and flags any feature that's stalled or running behind its planned schedule.
Accurate Percent complete.
A pad can look 100% graded by footprint while still sitting a meter short of design elevation. Novina integrates cut/fill volume between your baseline, design, and as-built elevation surfaces. Which results in a stricter, more honest completion number; plus stockpile tonnage reconciled against your recorded inventory.
Stay one step ahead by getting flags before problems turn into change orders.
Standing water outside a designated pond, a pad graded past the permit boundary, a road creeping into a stream setback, a retention pond running under capacity; all computed from exact areas and volumes, clustered and flagged automatically, with configurable pace-alert thresholds pushed via peferred communication channel.
Four steps from raw capture to a number leadership trusts.
The same pipeline runs whether it's your first site or your fiftieth.
Upload what you already fly
Drone orthomosaic footprints as GeoJSON, LiDAR-derived elevation grids, or a single raw photo. Novina is vendor-neutral; it reads whatever your existing drone program or capture partner already produces.
Exact percent complete
Image recognition and polygon overlap for footprint completion, volumetric cut/fill and stockpile tonnage computed, and cross-checked against hand-calculated ground truth before it ships.
AI Powered Schedule Forecasting
A logistic growth model fit across your full capture history projects a realistic completion date. One that accounts for the slow start and slow finish real construction progress actually has.
Flags before they're expensive
Boundary encroachment, standing water, pond capacity, and schedule slippage are checked automatically and pushed to Slack or email at whatever threshold you set.
Industry context isn't a nice-to-have. It's the job.
Generic dashboards don't move a mine or a heavy-civil program. We've worked inside the operational reality of these sectors; the instruments, the constraints, the numbers that actually get reported upward.
Mining & Resources
Recurring stockpile and pit-volume reconciliation from LiDAR-derived elevation surfaces, with tonnage automatically checked against ERP inventory records; built on the same LiDAR recognition background that eliminated costly re-scans in industrial deployments.
Infrastructure & Heavy Civil
Progress and schedule-variance tracking across large linear or multi-phase programs, plus permit-boundary and buffer-zone compliance checks; the same geospatial risk-monitoring discipline applied to enterprise systems, applied here to a single site.
Industrial Construction
Cut/fill and volumetric percent-complete for owners of large industrial builds, layered on top of whatever drone or LiDAR program is already in place (no new hardware or capture contract required).
Aggregates & Quarries
Standing water, retention pond capacity, and erosion checks computed automatically from elevation data; the recurring environmental and safety checks a site team would otherwise do by hand, every capture cycle.
Built by the person who used to do this by hand.
Makan Sabeti
Novina Data Innovations was founded on a simple premise: mining and infrastructure teams aren't short on site data, they're short on a reliable way to turn that data into a decision.
As a Solution Architect at Hatch, I designed geospatial data platforms for real-time risk monitoring and built LiDAR-based recognition systems that auto-identified degraded industrial instruments, eliminating costly re-scans and thousands of labor hours. The pattern showed up everywhere: teams were already capturing the data they needed, but nobody had built the layer that turned a point cloud into a percent-complete a project director could trust.
That's the layer Novina builds. Not a drone service, not another dashboard, but the analysis engine that sits between your capture pipeline and the decision it's supposed to inform: exact completion percentages, volumetric earthwork, S-curve schedule forecasting, and automated risk flags, built with the same rigor as the geospatial and predictive systems I shipped at Hatch.
Novina exists for teams that want that rigor applied to their own sites, without becoming a drone operator or hiring a GIS specialist to get it.
Start the conversation.
Book a 20-minute demo, or send a note with a bit of context on your site. We reply personally.