Commercial drone operators, inspection firms, and enterprise UAV programs reach a point where off-the-shelf platforms handle the standard mission but not the specific workflow: the client report format that doesn't match, the airspace approval process that still runs on email, the imagery that sits in cloud storage with no way to turn it into a billable deliverable. When the gap between what the platform does and what your business needs costs you hours per job and limits how many clients you can scale to, custom software is the fix.
Flight planning and mission management systems built for your specific operation type: inspection, survey, delivery, or public safety
Airspace compliance tooling with LAANC integration, FAA Part 107 records, Remote ID logging, and BVLOS workflow support
Imagery and data analytics pipelines that turn raw RGB, thermal, and LiDAR captures into client-ready deliverables automatically
Drone fleet management dashboards with maintenance scheduling, pilot records, utilization tracking, and regulatory audit trails
Recognition
Pilots completing missions but inspectors spending hours in desktop tools to extract findings from raw imagery before a report can go to the client?
Airspace authorizations managed across three apps and a spreadsheet, with no single audit trail when a regulator or client asks for proof?
Fleet growing past what a shared drone log can track, with maintenance intervals missed, pilot certifications expiring, and utilization data living in someone's head?
The short answer
RaftLabs builds custom drone and UAV software for commercial drone service companies, aerial inspection firms, aerial survey businesses, and enterprise UAV program managers. We ship flight planning platforms, airspace compliance systems, imagery and data analytics tools, inspection report generators, and drone fleet management dashboards. Most drone software projects deliver in 12 to 18 weeks at a fixed, agreed cost.
Drone software development is the process of building custom applications that manage UAV flight operations, process aerial imagery and sensor data, confirm airspace compliance, and automate the reporting and delivery workflows that turn raw drone data into client-ready outputs. The category covers everything from mission planning tools and fleet management dashboards to computer vision pipelines and regulatory record-keeping systems built for commercial drone operators.
01 Diagnosis
Your pilots finish missions but reports take hours to produce
Raw imagery is in cloud storage. Findings are in a field tech's notes. The inspection report template is a Word document your operations manager updates by hand. When the gap between data capture and client delivery runs two to four hours per site, it caps how many jobs your team can complete in a week and how quickly clients get their deliverables.According to a 2025 commercial drone operations survey, manual post-processing and report generation is the single most time-consuming step in commercial drone workflows, consuming more operator time than the flight itself. For inspection companies running 10 or more sites per week, that overhead compounds into days of billable time lost to admin.Custom inspection report generation software pulls annotated findings, thermal overlays, and georeferenced imagery into a structured client deliverable automatically after the pilot confirms the job is complete. Report generation that currently takes two hours drops to under fifteen minutes.
Airspace authorizations are tracked across email, spreadsheets, and three different apps
LAANC requests in one app. FAA Part 107 waivers tracked in a folder. NOTAMs checked manually before each flight. Remote ID compliance logged separately. When an enterprise client or a regulator asks for a complete operational record for a specific date and location, assembling it takes time your team doesn't have.The compliance overhead worsens as operations scale. A team running five concurrent pilots across multiple airspace classes needs a single audit trail, not a stack of disconnected records from five different tools. Missing a pilot certificate renewal or an airspace authorization gap creates legal exposure that grows with every flight.A unified airspace compliance system integrates LAANC authorization, NOTAM feeds, Remote ID logging, Part 107 pilot records, and waiver tracking into one searchable audit trail. When a client or regulator asks for proof, the answer is a single export, not a two-day records exercise.
Your fleet is growing but maintenance and utilization data lives in someone's head
A drone log shared by email works for two aircraft. It breaks down at five. Battery cycle counts get missed. Sensor calibration intervals slip. A pilot uses an aircraft past its scheduled service without realizing. The first sign something is wrong is an equipment failure mid-mission, a client complaint, or an insurance review that finds gaps in your maintenance records.Fleet management software that tracks every aircraft by serial number, logs flight hours and battery cycles automatically from telemetry, and triggers maintenance alerts before intervals are exceeded removes the dependency on memory and manual entry. Pilot certifications, training records, and medical fitness declarations are stored in the same system so nothing expires unnoticed.
Clients keep asking for data formats and integrations your current platform can't deliver
Survey clients want point cloud exports in specific coordinate reference systems. Infrastructure clients want findings pushed into their asset management platform via API. Insurance clients want thermal anomalies flagged with GPS coordinates in a format their adjusters can load directly. When your output format is whatever the off-the-shelf platform exports, you lose contracts to competitors who can deliver exactly what the client's workflow requires.Custom data delivery pipelines that convert drone-captured imagery and sensor data into the formats, projections, and API endpoints each client's system expects turn a deliverable limitation into a competitive differentiator. For enterprise and government clients especially, the ability to meet their data standard without asking them to change their workflow is often the decision factor.
02 What we ship
Mission planning interfaces with interactive map overlays, automated flight path generation, and waypoint editors let pilots configure and review missions on desktop or tablet before takeoff. Pre-flight checklists tied to aircraft type, weather API integrations that surface go/no-go conditions, and geofencing rules tied to your operational area confirm every flight starts from a documented, approved plan.
Post-mission data ingestion automatically associates telemetry logs, flight paths, and captured media with the mission record so nothing requires manual filing. For repeat-site operations such as construction progress monitoring or infrastructure inspection routes, mission templates eliminate repeated planning work for the same location.
Built for commercial inspection firms, aerial survey companies, and enterprise drone programs managing multiple concurrent operations across multiple locations.
LAANC integration submits controlled airspace authorization requests and retrieves approvals within the platform, replacing the manual app-switching that currently adds steps before every flight in Class B, C, D, or E airspace. FAA NOTAM feeds surface active restrictions relevant to a planned flight path automatically. Remote ID broadcast logs are captured and stored against each mission record.
Part 107 pilot records, certificate renewal dates, and training documentation are stored and surfaced when a certificate approaches expiry. For operations requiring waivers or BVLOS authorization under FAA Part 108, the workflow tracks application status and links waiver conditions to the operational records they cover.
Built for US commercial operators needing a single audit-ready operational record, and adaptable to CAA requirements in the UK and CASA requirements in Australia and New Zealand.
Post-flight imagery pipelines ingest RGB, thermal, multispectral, and LiDAR captures and run processing workflows that produce orthomosaics, point clouds, 3D models, thermal anomaly maps, and vegetation index outputs without manual intervention. Integration with processing engines including Pix4D Engine, OpenDroneMap, and WebODM means you select the output standard, not the processing workflow.
Computer vision models trained on your specific inspection type (rooftop condition, solar panel defect, powerline anomaly, crop stress) annotate findings automatically in the imagery before it reaches the inspector's review queue. The reviewer confirms, adjusts, or dismisses model-flagged items rather than scanning every frame manually.
Built for inspection companies reducing post-processing time per job, survey firms standardizing output quality, and enterprise clients who need analytics integrated with their existing GIS or asset management systems.
Structured report templates map inspection findings, annotated imagery, GPS coordinates, severity ratings, and recommended actions into the format your clients expect: PDF inspection reports, structured JSON feeds for asset management APIs, or branded HTML deliverables the client accesses through a portal. When the inspector confirms findings in the review tool, the report generates in minutes rather than hours.
Client-specific report formats are configured once and applied to every job for that client. Multi-site projects aggregate findings across locations into a single summary report with per-site breakdowns. For recurring inspection contracts, trend analysis compares findings across inspection cycles to surface deteriorating assets before they become urgent.
Built for drone inspection companies running structured inspection programs for infrastructure, real estate, energy, and construction clients.
Fleet dashboards track every aircraft by serial number, model, and operational status. Flight hours, battery cycle counts, and sensor calibration intervals update from telemetry logs after each mission without manual entry. Maintenance alerts trigger before service intervals are exceeded so aircraft aren't taken offline reactively mid-contract.
Utilization reporting shows hours flown per aircraft, per pilot, and per client: the data your operations manager needs to plan capacity, identify underused assets, and build the case for the next equipment purchase. For organizations managing mixed fleets across DJI, Autel, and Skydio aircraft, the dashboard normalizes telemetry into a consistent format regardless of manufacturer.
Built for drone service companies managing five or more aircraft, enterprise drone programs with geographically distributed fleets, and public safety agencies requiring documented operational records.
Order management interfaces connect delivery requests to available aircraft and pilots, with route planning that accounts for airspace constraints, payload capacity, and weather conditions along the flight path. Real-time tracking surfaces delivery status to dispatchers and recipients. For regulated delivery corridors, UTM system integration handles flight authorization and conformance monitoring.
Ground control station software gives operators situational awareness across multiple simultaneous delivery flights with alert escalation for off-course or signal-loss events. Post-delivery confirmation, chain-of-custody records, and delivery analytics feed into client reporting dashboards automatically.
Built for commercial drone delivery operators, logistics companies adding last-mile UAV capacity, and enterprise operators building regulated delivery corridors under FAA Part 135 or equivalent international frameworks.
03 How we work
Companies we've built for
04 Track record
06 Client voices
Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.
USARaftLabs nailed what other agencies couldn't — they started with our business problem and worked backwards to the right product. We were live in 14 weeks.
07 Why us
The industry changes. The broken process usually looks the same. Across 14+ industries and 100+ products, we recognise your problem fast, and we frame the fix around your margin and your operations.
We measure success the way you do: hours saved, revenue earned, margin recovered. We stay through launch and growth, so the result is ours to own.
Vodafone, T-Mobile, Cisco, Energia, Aldi, Nike. Six years, 100+ products in production, 4.9 on Clutch. Serious businesses keep coming back because we stay accountable long after launch.
08 Questions
Yes. DJI Mobile SDK and DJI Onboard SDK integration is a standard part of drone software projects for DJI-operated fleets. We also integrate with Autel, Skydio, and third-party flight controller APIs where required. Hardware integration scope is confirmed during discovery because SDK capability varies by aircraft model and firmware version. We prototype the hardware integration in sprint one because it carries the highest technical risk and should be confirmed before the majority of the build budget is committed.
Yes. We build drone software with FAA Part 107 operational records, LAANC airspace authorization workflows, Remote ID broadcast logging, and NOTAM feed integration designed in from the start. For UK operations, we build to CAA requirements including operational authorization requirements. For Australian operations, CASA regulatory structure is scoped during discovery. Compliance architecture is never retrofitted after the core system is built. It goes in during the first sprint.
A focused build (a mission planning module, an inspection report generator, or a fleet dashboard) typically delivers in 12 to 16 weeks and costs $30,000 to $65,000. A full drone operations platform covering flight planning, airspace compliance, imagery processing, and fleet management runs $80,000 to $180,000 depending on integration complexity and the number of aircraft types supported. Fixed cost is agreed before development starts, with milestone-based payments tied to working software at each checkpoint.
Yes. Imagery pipelines that ingest RGB, thermal, multispectral, and LiDAR data, run processing workflows using engines such as Pix4D Engine, OpenDroneMap, or custom computer vision models, and output annotated reports, 3D models, and GIS-ready files are within our scope. The sensor types and required output formats are confirmed during discovery so the processing pipeline matches your exact deliverable standard without manual conversion steps after it runs.
Off-the-shelf platforms such as DroneDeploy, Pix4D, or Airdata UAV cover standard operations well. Custom software makes sense when your client deliverable format, compliance workflow, or data integration requirements don't fit any platform's configuration options; when you're building a product to sell to other drone operators; or when platform licensing costs become a constraint at the scale you're targeting. Discovery scoping will confirm which decision makes economic sense for your specific operation before any build budget is committed.
Yes. Data delivery integrations that push inspection findings, georeferenced imagery, and analytics outputs to platforms such as Esri ArcGIS, IBM Maximo, SAP PM, Bentley AssetWise, and custom REST APIs are a standard part of inspection and survey software projects. The integration targets are confirmed during discovery and built to the client's data schema, not a generic export format.
Drone fleet management software
aircraft tracking, maintenance scheduling, pilot records, utilization dashboards
Drone inspection software development
inspection reporting, annotated imagery, thermal analysis, client delivery portals
UAV mission planning software
flight path planning, pre-flight checklists, waypoint editing, repeat-site templates
Airspace compliance software
LAANC integration, Remote ID logging, Part 107 records, NOTAM feeds
Drone imagery processing software
orthomosaic generation, point clouds, thermal anomaly maps, GIS output
Drone delivery software
order management, UTM integration, real-time tracking, Part 135 compliance
AI for drone inspections
defect detection, anomaly flagging, automated annotation, computer vision models
Tell us what you are building and we will scope it out together.