For energy, water & connected assets
Connect assets, field teams, and business data. Modernize the applications your operations depend on, or turn a specific workflow into a useful first release.
What we can build
Start with the site, the team, and the decision. Connect equipment data, replace a critical spreadsheet, or make a field process easier to run.
Connect equipment readings to the site, device, and history an operator needs to understand them.
Make specialist availability, project demand, and allocation conflicts visible in one planning workflow.
Build field apps and drone-inspection workflows that connect imagery, asset records, and reviewable defects, with offline capture where sites need it.
Move project models out of isolated spreadsheets and connect partner submissions with the commercial records your team uses.
Connect operational data and business systems with AI agents that find relevant knowledge, prepare work orders, and turn daily records into useful reports.
Use source references, role-based access, and human approval for actions that change operational records.
Explore AI workflow automationSelected work
Explore remote monitoring, equipment control, and field operations through energy, water, and related IoT projects.
Connected systems & platforms
A connection is useful when teams can trust what a reading or record means, where it came from, and whether it is up to date.
Plan identifiers, units, timestamps, and retention alongside the connection. Handle delayed or duplicate readings, device replacement, and recovery so that equipment history stays useful.
Explore device data continuityConnect project, partner, and customer records with the systems your business already uses. Build reports around capacity, submissions, site history, and work awaiting review, with a clear route back to the source data.
Explore solar platform integrationWe confirm vendor access, interface versions, data ownership, licensing, and test environments before committing to a connection. Changes involving operational equipment are scoped and validated with your responsible teams.
Delivery & continuity
Bring the people who run the sites, manage the data, and maintain the systems into the decisions that shape each release.
Identify users, equipment, data owners, dependencies, and the decisions the application needs to support.
A shared starting pointWorkflow, interfaces, constraints, and owners
Validate a connection, calculation, or field task with representative data and the people who will use it.
Reviewable evidenceWorking increment and acceptance results
Include lost connectivity, stale readings, access failures, concurrent changes, and recovery in the test plan.
Operational checksFailure paths, data checks, and user review
Agree migration checks, cutover, rollback, documentation, and support before changing a live workflow.
Continuity after launchRelease plan, handover, and maintenance scope
IT, operational technology, and security owners agree access boundaries, audit needs, and release approval. Work that affects physical equipment requires its own validation criteria and operating authorization.
Ways to get started
Bring a field problem, a spreadsheet, or an existing application. We can define a manageable starting point together.
ONE CONNECTION
Use a device, sample dataset, or vendor test environment to prove how information reaches the application and how failures will be handled.
ONE WORKFLOW
Choose a planning, pricing, reporting, or field task. Agree the rules, existing data, and first release before expanding the scope.
AN EXISTING PRODUCT
Start with a bounded change to review how we work together. A one-week trial can help assess fit when access, scope, and terms are agreed.
Before we start
Existing systems, field connectivity, data access, and the work after the first release.
We start with the interfaces the vendor exposes, available documentation, data formats, credentials, and a test environment. A first step can be a read-only data connection using representative records. Any change that sends commands to operating equipment needs a separate scope, authorization, and validation with your operational technology team.
We can design local capture, queued updates, synchronization, and visible delivery status around the conditions at your sites. The approach depends on the device, data volume, and available network. Our remote-water case used Android relay applications and SMS where conventional mobile data was limited; SMS still required a usable cellular signal.
Yes. We can assess the application, choose a bounded workflow or component, and plan a staged transition. Historical records, reconciliation, parallel checks, backup, and rollback are part of the release discussion. We validate the approach against your operating constraints before cutover.
We work with your IT, operational technology, and security owners to define data access, user roles, audit events, encryption, and environment boundaries. Vendor permissions, test access, and release approval are agreed before integration. Applicable compliance requirements and specialist validation remain part of the project scope and acceptance plan.
Start with a question that the available data can support, such as finding a record, preparing a report, or flagging a pattern for review. Predictive maintenance needs suitable historical data, evaluation against real operating conditions, and an agreed response to false alarms. We define those requirements before treating a model output as an operational decision.
The first release depends on workflow complexity, data quality, interface access, device availability, and field-testing needs. We agree dependencies, acceptance criteria, and review points before development. Repository access, documentation, maintenance, monitoring, and support ownership are defined for the work after launch.
Get in touch
Tell us what you need to build, modernize, automate, or augment with AI. We can start with a focused discussion or a no-risk 1-week trial.
“A fantastic company to work with.” After the initial rapid development project, American Shipping Co. kept two Shinetech developers embedded for nearly four years, supporting internal and external tools and new AI initiatives.
CEO, American Shipping Co. - 5-star Google Review
