Reliable, recurring aerial data collection for AI companies that analyze drone imagery. Professional operators, calibrated equipment, and structured delivery — every flight, every time.
The Problem
You built an AI platform that detects defects on solar panels, assesses roof conditions, monitors crop health, or tracks infrastructure deterioration. Your model is strong. Your pipeline is ready. But the entire system depends on one thing: a steady, reliable stream of high-quality aerial imagery captured under consistent conditions.
This is where most AI companies hit a wall. The technology that processes drone data has far outpaced the operational infrastructure needed to collect it. And the gap between those two things is costing you customers, delaying deployments, and undermining the accuracy your model was designed to deliver.
Most AI companies start by hiring freelance drone pilots through gig platforms or local directories. It works for a proof of concept. It falls apart at scale. One operator captures images at 200 feet AGL; the next flies at 300. One delivers JPEG files named by timestamp; another sends a USB drive full of unsorted RAW files. Overlap percentages vary. GSD values are inconsistent. Flight paths are ad hoc. And when you need the same site re-flown next month, the operator is unavailable — or has raised their rate.
For an AI model trained on specific capture parameters, this inconsistency is not a minor inconvenience. It is a data quality problem that degrades model performance, increases preprocessing costs, and erodes trust with your end customers who depend on reliable, repeatable analysis.
Legacy survey and inspection companies can fly drones professionally. But they deliver PDF reports, not structured datasets. They think in terms of one-time projects, not recurring collection schedules. They have no concept of API delivery, metadata schemas, or pipeline integration. Every engagement requires manual follow-up to get data into a format your systems can ingest.
Some AI companies consider hiring their own drone operators. But this means managing Part 107 certifications, equipment procurement and maintenance, insurance, travel logistics, and personnel across multiple geographies. It transforms an asset-light AI business into a field operations company — and that is not why your investors backed you.
The Solution
Northshire Datex provides recurring drone inspection services designed specifically for AI companies that depend on consistent, structured aerial imagery. We are not a gig platform and we are not a traditional survey firm. We are a professional services partner that treats drone data collection as an ongoing operational function — because for your business, that is exactly what it is.
Every mission uses equipment calibrated to your specifications. Camera settings, lens profiles, GPS accuracy requirements, and sensor configurations are documented in your engagement scope and verified before each flight. When your model expects imagery captured at a specific GSD with defined overlap percentages, that is exactly what it receives.
We define flight plans based on your technical requirements: altitude, speed, overlap, gimbal angle, and capture interval. These parameters are locked into mission planning software and followed by every operator on every flight. Whether we are flying a site in Phoenix or Pittsburgh, your data looks the same.
Imagery is delivered in your required format — TIFF, JPEG, or proprietary — with consistent file naming conventions, embedded metadata, and accompanying sidecar files. Delivery happens through your preferred channel: direct API upload, cloud storage (S3, GCS, Azure Blob), SFTP, or custom integration. No USB drives. No email attachments. No manual data wrangling.
Whether your product requires weekly flyovers of a solar farm portfolio, monthly roof inspections across a property management client, or quarterly infrastructure surveys, we staff and schedule operations to meet your cadence. SLA-backed timelines mean your pipeline knows when to expect new data, and your customers know when to expect updated analysis.
Deliverables
Every image delivered with precise GPS coordinates, altitude data, and capture timestamps embedded in EXIF metadata. Orthorectified outputs available where required. Consistent file naming tied to site identifiers in your system.
JSON or CSV sidecar files accompanying each dataset with flight parameters, environmental conditions (wind speed, temperature, cloud cover), equipment identifiers, and operator information. Formatted to match your ingestion schema.
Complete telemetry logs for every flight, including GPS tracks, altitude profiles, and battery records. FAA compliance documentation, airspace authorizations, and operator certifications maintained and available on request.
Data delivered directly to your systems through REST API integration, cloud storage upload (AWS S3, Google Cloud Storage, Azure Blob), or SFTP. Webhook notifications confirm delivery and trigger your downstream processing.
What It Looks Like
Every engagement starts with a discovery conversation where we learn your product, your data requirements, and the physical constraints of your inspection sites. We then build an operational specification that defines exactly how data will be collected, processed, and delivered. Once approved, we staff the engagement, procure or allocate equipment, and begin operations within the agreed timeline.
As your needs evolve — more sites, different sensors, adjusted parameters — we adapt. The operational spec is a living document, updated as your model improves and your customer base grows.