Forge
AI agents for product management and software development.
Development teamsOpasa designs, builds, and operates custom AI agents and tools for enterprise teams — from first prototype to a production system running inside your own stack.
We’ve built our foundation in software development and consulting. Now, with a strategic focus on Agentic AI and Gen AI applications, we’re helping customers unlock transformative solutions. Partnering with global innovators, we guide organizations through AI roadmaps and solution development—combining our delivery expertise with emerging technologies to create meaningful impact.
Three ways we work with enterprise teams, usually in this order — advisory first, then agents, wired into the tools you already run on.
We design agents that handle a specific job end to end — reading documents, checking systems, taking action, and reporting what happened. Each one is built around your data, your rules, and your existing software, not a generic template.
We connect agents to the systems your team already relies on — CRMs, ticketing queues, internal APIs, data warehouses — so the work happens where people already look for it, with the right permissions and an audit trail.
Before we build anything, we help you find the workflows worth automating and the ones to leave alone. You get a clear plan, a cost estimate, and a way to measure whether it actually worked.
Products we deliver with our partner Continuous Engineering. We implement, integrate, and operate them for enterprise and healthcare teams.
AI agents for product management and software development.
Development teamsUnified test automation platform.
QA and development teamsSelf-hosted, multi-tenant data-intelligence platform.
Data and platform teamsCompliance documentation and risk management.
Regulated organisationsSigned, non-root base container images.
Infrastructure teamsIT asset and security monitoring.
Managed service providersDesktop shell that keeps sensitive windows out of screen capture.
Confidential environmentsEncrypted remote browser sessions.
Regulated environmentsSelf-hosted, multi-tenant WebRTC video conferencing.
On-premises collaborationClinical governance system for hospital networks.
Healthcare providersRemote patient monitoring subscription service.
Medical practicesFHIR-compliant electronic health record platform.
Hospitals and ambulatory careBuilt by Continuous Engineering and its group companies Continuia, Qyntec, and Racchabanda.
Products we are building now. More will be added as each one ships.
An Australian online learning and creator-economy marketplace where everyday people teach short pre-recorded workshops. The first production platform was retired, and a static placeholder site holds the domain while the product is rebuilt.
We rebuilt the MingleIn platform from the ground up as a contracts-first, multi-tenant marketplace on AWS Sydney, using NestJS, Next.js and PostgreSQL, with Auth0 for identity and Stripe Connect for host payouts. We delivered host publishing, buyer discovery and checkout, video playback, and the revenue-split engine that pays hosts, referrers and a charity partner on every sale, plus the AWS staging environment and CI that support it.
Small teams agree on work inside chat, then lose it. Tasks tracked in a separate tool drift away from the conversation that created them, and nobody knows what is due, who owns it, or what is late.
Opasa is designing and building TaskToChat, a chat-first work tool where any message becomes a tracked task with an owner, due date, and status. Project channels, direct messages, a board view of open and overdue work, file sharing, and member roles sit in one place. MVP designs for web and mobile are complete and the first build is under way.
Every engagement moves through the same five stages, whether it's a two-week pilot or a system we operate for years.
We map the workflow, the data it touches, and where it actually breaks down today — before proposing anything.
We define what the agent should decide on its own, and where a person has to sign off. That line is written down, not assumed.
We build and test the agent against real cases pulled from your own history, not synthetic examples.
We ship it into your existing systems, with logging and guardrails your compliance team can review on their own.
We monitor it in production and keep tuning it as your workflows, data, and volumes change.