IoT Software Development
Delivering high-quality IoT software & firmware by combining best-in-class web & embedded technologies with battle-tested security protocols, over-the-air firmware updates, & extensible code.
Our Software Development Capabilities
As a full-service IoT software development company, we build every product with privacy, security, and scalability in mind. Agile development methodologies, combined with a tightly defined communication cadence, allows us to craft powerful IoT apps & platforms, develop secure firmware, & build stunning visualizations.
Using resilient, robust languages & frameworks
React's reusable components, consistent behavior, and rich interactions make developing complex interfaces simple.
Ruby on Rails
Ruby on Rails is a highly-capable framework that allows us to quickly produce user-facing value while maintaining high-quality application code over time.
As a high-level programming language, Python takes care of common programming tasks, allowing us to focus on the core functionality of the application.
Harnessing Elixir & Nerves for IoT development
Elixir is a powerful and dynamic programming language that uses the Phoenix framework, which enables speed and maintainability.
Nerves is an open-source platform and infrastructure to build, deploy, and securely manage fleets of IoT devices at speed and scale.
Reliable cloud services for data hosting & management
By using Amazon Web Services (AWS), we can choose the best operating system, programming language, web application platform, and database for your needs. We use a variety of AWS technologies, including AWS IoT Core, Amazon Elastic Compute Cloud (EC2), Simple Storage Service (S3), Amazon's Virtual Private Cloud (VPC), AWS Lambda, Amazon Dynamo DB, data warehousing with Redshift, and more.
Been There, Built That
With a focus on mitigating risk and maximizing opportunity, we turn pivotal moments into competitive advantage.
Building a System to Remotely Monitor Energy Usage with IoT
Building a Digital Platform with Alexa Skills & E-Commerce
MACHINE LEARNING SOFTWARE
Building a Predictive Analytics Platform to Measure Company Health
Our Software Development Timeline
Customer discovery, 1-2 weeks
We begin by learning about your business, your customers, and the problems this project will solve.
Product Strategy Sprint, 2 weeks
We develop a phased product roadmap, document requirements, conduct research spikes, and select the tech stack.
Production implementation, 12- 16 weeks
We use iterative development and a predictable communication cadence to get your product fully operational.
Ongoing maintenance, 3-6 months
Our ongoing support and maintenance options keep your product running at its best so you can focus on innovation.
With development led by Very, this launch was among the top 10% of platform launches I have ever been a part of."
CTO, WALL STREET JOURNAL