Agritech software development teams that build for the field, not just the dashboard.
Hire dedicated senior engineers from a staffing partner founded by a four-time founder. We place engineers in the Philippines who ship farm management, precision agriculture, IoT, and supply-chain traceability software that has to work where connectivity is thin and uptime is the harvest. Pre-vetted, full-time, and ready in as little as 7 days.
- Inc. 5000 honoreefive years running
- 350+ senior engineerson staff, across every stack
- 200+ companies servedsince 2018
- 700+ engineer placementsinto US software teams
Not a dev shop building it for you. Your agritech team, building with you.
Most agriculture software development companies quote you a six- or seven-figure fixed-bid project, build it behind a vendor wall, and hand it back. We staff dedicated senior engineers into your team. You own them, manage them, and keep them.
The turnkey vendor model
The big custom-software shops
- Fixed-bid project, scoped up front, priced in the hundreds of thousands
- Engineers walled off behind an account manager
- 30–40% overhead for layers you never meet
- Hand-off at the end, and the knowledge walks out the door
The Full Scale staff-augmentation model
Dedicated engineers, embedded in your team
- $35/hr fully loaded, scale up or down as the growing season changes
- Engineers in your standups, Slack, repo, and roadmap
- No vendor wall and no PM tax, you manage them directly
- 93%+ retention means the engineers, and the knowledge, stay
Co-founded VinSolutions, the #1 CRM in the auto industry ($150M+ exit), and founded Stackify
Built by a founder who has shipped and sold real software
Full Scale was founded by Matt Watson, a four-time founder and CTO with 20+ years in software engineering. He co-founded VinSolutions, the #1 CRM platform in the auto industry, acquired for around $150 million, and founded Stackify, a developer-tools company he later sold. He also wrote Product Driven, the engineering-leadership method every Full Scale engineer is trained on.
Full Scale exists because Matt kept hitting the same wall as an operator: good products stall when you can't hire and keep good engineers. That is the problem we solve, and it is why we vet for the senior, product-minded engineers most staffing shops never find.
Engineers experienced across the agritech stack
We don't sell you a pre-built product. We staff engineers who have shipped in these domains before and know what breaks when software meets the field.
Farm management systems
Crop planning, field records, input and yield tracking, scheduling, and operations software that ranchers and growers actually use day to day.
Precision agriculture & IoT
Sensor networks, soil and weather data pipelines, variable-rate application, and edge devices built to run with thin connectivity in the field.
Supply-chain & traceability
Farm-to-fork traceability, cold-chain monitoring, grain and produce logistics, and provenance tracking that holds up to an audit.
Agritech marketplaces
Input and equipment marketplaces, commodity trading platforms, grower-to-buyer matching, and the payments and listings that run them.
Equipment & fleet management
Equipment telematics, machinery utilization, route and field planning, predictive maintenance, and asset tracking across the operation.
Agriculture data & analytics
Yield and field data warehousing, satellite and drone imagery analytics, dashboards, and machine-learning models on crop and weather data.
Engineers who build for the field, not just the demo
Agritech software has to survive bad connectivity, untrusted devices, and data that growers will not hand over twice. Our engineers treat security and reliability as architecture decisions, not a checkbox at the end.
The agriculture specialists on our bench
Backend engineers
.NET, Java, Python, Node
IoT / embedded
Device data, MQTT, edge
Data / ML engineers
Imagery, yield, weather models
Mobile (field apps)
iOS, Android, Flutter, offline-first
Geospatial / GIS
Mapping, field boundaries, imagery
DevOps / SRE
Azure, AWS, IaC, uptime
QA automation
Test coverage for field paths
Solutions architects
System & data design
The agriculture stack our engineers work in
Backend
Frontend
Mobile
IoT & data
Geospatial
Cloud & DevOps
Why most offshore agritech teams fail, and how to not be one of them
The mistake isn't going offshore. It's hiring the cheapest developer you can find and hoping reliability sorts itself out. I call that cheapshoring, and in agriculture software it's how you end up with a field that loses connectivity, data nobody trusts, and a rewrite.
Agritech is unforgiving in its own way. A grower will not re-enter a season of field records because your sync dropped, and a sensor that fails silently is worse than no sensor at all. You need engineers who design for the edge case, not the happy-path demo. That's a hiring bar, not a rate, which is the whole reason we accept under 3% of applicants and train every engineer on the Product Driven method.
From call to coding in as little as 7 days
- 1Tell us the agritech roles and stack you need
- 2We match pre-vetted engineers from our bench
- 3You interview and pick your team
- 4They start in your standups, repo, and roadmap
Agriculture Software Development Services, answered
- Do your engineers have agritech and IoT experience?
- Yes. We staff engineers who have shipped farm management, precision agriculture, IoT, and supply-chain software, and design for thin connectivity and untrusted devices instead of assuming a perfect network.
- Is this a fixed-bid project or a dedicated team?
- A dedicated team. We are a staff augmentation partner, so you get engineers embedded in your team at $35/hr, not a turnkey project quote.
- How fast can an agritech team start?
- As little as seven days from the first call to engineers in your standups, drawing from a pre-vetted bench.
- Who owns the code and the IP?
- You do, from day one. Our engineers work in your repositories under your process.
Staffing engineering teams across every industry
Agriculture engineering guides
IoT software development
Engineers for connected devices and sensor data pipelines.
Logistics software development
Supply-chain, traceability, and fleet software teams.
Staff augmentation vs. a dev shop
Why owning the team beats handing off the build.
Cheapshoring: the agritech version
Why the cheapest developer is the most expensive.