We build the intelligent systems companies run on.
Silvatron is a Melbourne engineering firm. We take a brief from first conversation to production system, and we stay with it once it is live.
Three practices.
One delivery team.
Salesforce platforms, applied AI and research that ends in production. The same engineers carry the work across all three.
Salesforce delivery
A complete Salesforce practice under one roof. Development, administration and quality assurance, from a single feature through to a platform your organisation runs on every day.
AI engineering
Applied AI that earns its place in production. Language model applications, agents and document intelligence, built with evaluation, guardrails and a clear path from pilot to live service.
Applied R&D
Research that ends in something you can deploy. We take an unproven idea, test whether it holds, and build the version that survives contact with real users and real data.
AI runs through the work,
not beside it.
We do not treat AI as a separate product line. It is applied where it removes real effort, and it ships under the same review, testing and release discipline as everything else.
AI in the systems you already run
Most value sits in the platform you have. We add intelligence to it rather than building something alongside it.
- Document and report intelligence feeding structured records
- Agent and assistant patterns inside Salesforce
- Classification, extraction and routing on existing workflows
- Source traceability, so every output can be checked
AI systems built from scratch
Where the capability does not exist yet, we prove it small, then engineer it properly.
- Language model applications and multi-step agents
- Retrieval over your own knowledge and data
- Evaluation sets and guardrails before go-live
- A defined path from proof of concept to supported service
A method that holds up under audit.
Our clients include a state government agency and regulated manufacturers. The process is built for environments where decisions have to be explainable later.
- 01
Discover
We start with the problem, the constraints and the people who live with the system. You get a written view of scope, risk and sequence before anyone writes code.
- 02
Design
Architecture, data model and integration boundaries settled early. Decisions are documented, so the reasoning survives staff changes on both sides.
- 03
Build and assure
Short delivery cycles with review, automated testing and user acceptance built in. Quality assurance sits inside the team, not at the end of the plan.
- 04
Run and improve
Release management, support and the next increment. Several of our engagements have run continuously for years, which is the standard we build to.
2021
Delivering production platforms since
3
Practices, one delivery team
5yr+
Longest continuous engagement
AU·LK
Melbourne base, dual-region delivery
Systems in production,
under our support.
One engagement from each practice. We describe the work, not the client.
Business-as-usual ownership of a CPQ-centred Salesforce estate at a specialty manufacturer
Ongoing ownership of a production Salesforce environment built around CPQ, covering configuration and custom features, ERP and shipping integrations, a customer community and day-to-day org support, held by one team.
Read the studyAI engineeringDocument intelligence for an Australian state government agency, turning survey PDFs into audit-ready Salesforce records
An AI platform that reads consultant inspection reports and writes structured, source-traceable register records into the agency's Salesforce org.
Read the studyApplied R&DFull-stack campaign platform built for a United States marketing company, with advertisement generation engines built in house
A campaign platform that runs United States marketing campaigns from one portal and generates image and video advertisements through engines we built and own.
Read the studyTell us what you are trying to build.
Send the brief, or the problem behind it. You will speak to the engineers who would do the work, not an account manager.