Building footprints, roads, land cover, and change detection across multispectral and SAR imagery — georeferenced, reviewed, and returned as GeoJSON or in your own schema.
Experts in satellite, aerial, and drone imagery analysis for mapping and remote sensing.
Work in ArcGIS, QGIS, or any labeling platform like CVAT, Label Studio, or V7.
From low-res satellite to high-res drone imagery and multispectral data.
Everything you need to build a geospatial annotation team that delivers mapping-grade labels, at any scale, in any tool.
Our annotation team works inside any annotation platform, GIS software, or internal pipeline. You control access and permissions. Your data never leaves your systems.
Built-in chat, instruction sharing, and everything you need to manage your annotation team in one place. No separate apps required.
Pay our annotation team in any country from a single dashboard. You set the rates, we add a small fixed fee on top. No hidden costs, no chasing invoices.
We get a shortlist of qualified GIS professionals ready to start working in your annotation pipeline. What we deliver:
Create your account, scope a project, and bring experienced annotators into your annotation tools so you can start labeling fast.
Describe your imagery type, annotation requirements, and required expertise. Receive proposals from GIS specialists and annotators with relevant experience.
We agree the spec, then run delivery inside your GIS software (ArcGIS, QGIS) or annotation platform.
Share guidelines, message your team, and handle global payments from a single dashboard.
Send us a sample batch and we will come back with a spec and a quote.
A standing programme, run end to end, for continuous or large-volume work.
Send us your first batch and get GIS specialists and trained annotators.
The largest network of GIS specialists and annotators for remote sensing data, ready to work in any platform.
Quick answers to common questions.
Building footprints, road networks, land use and land cover, object detection for vehicles, ships, and aircraft, and change detection — across satellite, aerial, and drone imagery. We scope the task types with you at kickoff and return output as GeoJSON, shapefiles, or your own schema.
Yes. Our teams work inside your tools — ArcGIS, QGIS, CVAT, Label Studio, V7, or your internal pipeline. You control access and permissions, and your imagery never leaves your systems.
Delivery runs inside your environment under SOC 2-aligned controls, with NDAs signed before access and clean-room setups available for sensitive imagery. Large datasets are worked in batches with QA sampling on every batch, so quality holds as volume scales.
Yes — our teams annotate optical, SAR, hyperspectral, multispectral, and drone imagery. For specialised sensors we run custom screening so only annotators with relevant remote-sensing experience join your project, and we calibrate on a pilot batch before scaling.
Cost-plus and transparent: you see the annotator rates and we add a small fixed fee on top. We quote per polygon, per tile, or per hour depending on the task, and the price is agreed before delivery starts — no hidden costs.
Yes. For continuous or large-volume mapping we run the whole programme end to end — staffing, tooling, QA loops, and weekly reporting — inside your environment. Typical ramp from kickoff to full production is about two weeks.
Start delivery on ReinforcedX, then invite the team into any annotation platform or GIS environment.
Three ways to work with us, from a single batch to a standing programme.
Send us the spec and we scope the work, agree the quality bar, and start delivering. We run inside the tools you already use, so output lands where your team works.
We staff, run, and QA the whole programme inside your tools. End-to-end operations for large or complex projects.
Keep a standing delivery pipeline running against your roadmap, with quality reported every week.
Typically within a week or two of a scope being agreed. The first delivery is deliberately a small batch so you can check the output against your expectations before volume ramps.
One process owner who knows the workflow, one engineer with access to the systems involved, and a weekly 45-minute review. No standing committee, and no requirement for an ML specialist on your side.
You do. Datasets, labels, weights, evaluation suites and runbooks are yours and are handed over at the end. Your data trains your models only, with zero-retention provider settings by default.
Yes, and the quality bar holds because the rubric and gold set are already agreed by that point. Ramping is a staffing question, not a re-scoping one, so it usually takes days rather than a new engagement.
Often you should not. The cases where teams move to us are when they cannot get a quality number out of their current vendor, or when the work is delivered as an opaque batch with no trace of how disagreements were resolved.
We stay on-call for 30 days at no extra cost, then move to an optional support retainer. Most teams also keep a quarterly evaluation review with us to catch drift early.
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