Arable Web Application
Arable Web Application
Appspring joined Arable as an extended nearshore team to evolve an early AgTech minimum viable product, originally built to support seed capital fundraising, into an enterprise-grade web platform. The platform serves large agricultural producers that depend on continuous IoT telemetry and low-latency analytical dashboards for operational decisions.
The challenge
This section describes the situation before the engagement, so prospective clients can determine whether it corresponds to their current position.
Your pilot product validates the concept, but the architecture does not support production data volumes or concurrent users.
Field telemetry arrives continuously, yet dashboards respond slowly or fail to present agronomic and climate variables clearly.
Release cycles are manual and risky, with limited test coverage and no predictable deployment pipeline.
You need to scale the team with engineers, QA, and cloud roles without losing velocity.
How the work unfolded
A six-year staff augmentation engagement that moved the platform from fundraising demo to enterprise analytics surface.
From prototype to production
Rebuilt the fundraising demo as a production web application with responsive interfaces and a reliable deployment pipeline.
Real-time telemetry at scale
Scaled the analytics layer to process continuous IoT telemetry from field stations, adding interactive agronomic and climate dashboards.
Enterprise maturity
Extended the nearshore team to 15 engineers covering development, QA, and cloud infrastructure, sustaining quality releases for enterprise accounts.
What was implemented
Each item below states what was delivered and the operational reason for that decision.
High-performance web application in Angular and TypeScript
Rebuilt the frontend for responsiveness and sustained interaction with large telemetry datasets, developed from UI and UX mockups for an intuitive experience and short time to market for each feature.
Agronomic and climate data visualization with FusionCharts, D3.js and Chart.js
Integrated specialized charting libraries tuned to render dense environmental time series interactively, so field conditions, trends, and water status read directly from the dashboards.
Real-time IoT telemetry integration
Connected the front end to AWS backend services streaming data from Arable field stations, keeping dashboards current as volumes scale.
Automated CI/CD with unit, end-to-end, and structured manual testing
Deployed automated pipelines that validate each change before release and standardize deployments to AWS-backed infrastructure, complemented by structured manual testing on each release cycle.
Extended nearshore team of 15 engineers across development, QA, and cloud
Provided sustained capacity in development, quality assurance, and infrastructure under Arable's technical direction for six years.
Technologies and stack
Engagement summary
- Period
- 2016 – 2022
- Model
- Staff augmentation
- Channel
- Direct engagement
- Category
- AgTech Platform / Web Application
Result
The web platform transitioned from a fundraising MVP to a production system capable of processing high volumes of agricultural telemetry with responsive analytics. Automated delivery and structured QA stabilized release cadence for a long-term engagement from 2016 to 2022.
15 nearshore engineers at peak · 6 years continuous engagement (2016–2022) · 3 disciplines covered: development, QA, cloud. The platform scaled from an investor demo to the enterprise-grade analytics surface Arable relied on commercially, keeping low latency under continuously growing telemetry volumes while shipping features demanded by large agricultural producers.
Discuss a similar requirement
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