Omnixera Teknologi Nusantara
We design and build SaaS platforms, advise on the technology decisions behind them, and set up teams of AI agents that take real work off your people.
Services
Strategy, engineering and AI sit at the same table, so what gets recommended is what gets built — and what gets built keeps running.
Products built to be sold as a subscription.
We design and engineer SaaS platforms end to end: the architecture that keeps tenants isolated, the billing that gets you paid, and the operations that keep it online as usage grows.
Discuss a SaaS buildClarity before commitment.
An outside, engineering-level view of where your technology stands and what to do next. You get a written recommendation you can act on — with us or with any other team.
Book a consultationAI that does the work, not the demo.
We build AI into the way your business runs — from one assistant inside an existing tool to a complete multi-agent system built from scratch. Always grounded in your own data, measured against real cases, and monitored once live.
Explore an AI use caseMulti-agent systems
We set up multi-agent systems from scratch. Each agent gets one role, the tools it needs and clear limits; an orchestrator passes work between them; your people keep the decisions that matter. We can build the whole system — the platform, the agents inside it and the integrations around it — or add agents to the tools you already run.
Reads every ticket from email, chat or form and captures what is actually being asked.
Sets category and priority, spots duplicates and routes to the right queue.
Searches your knowledge base and systems, then drafts the reply or carries out the fix.
Checks the result against policy and tone before anything reaches the customer.
Or handed to your team with the full context already attached.
People stay in control. Approvals, escalations and overrides sit with your team, and every agent action is logged.
If a job is repetitive, rule-bound and high-volume, it is usually a candidate. Tell us the one that costs your team the most hours.
Automate a workflowWhere to start
Recommended · SaaS Systems
Scope the smallest version worth paying for, then ship it.
Recommended · Consulting → SaaS Systems
Find what is actually slowing you down before rewriting anything.
Recommended · AI-Driven Systems · Multi-agent
Pick one process, prove it on your own data, then expand.
Recommended · Consulting
Get an independent, engineering-level answer in writing.
Process
We learn the business problem, the users and the constraints before proposing any technology.
Architecture, user flows and a delivery plan you can review, challenge and sign off on.
Short iterations with working software at each one, so progress is something you can click through.
Launch, monitoring and continuous improvement — including evaluation of anything AI-driven.
A defined outcome, scope and timeline. Best when you know what needs to be built.
An Omnixera squad working as an extension of your team on an evolving product.
Ongoing access to senior technical judgment for architecture, hiring and AI decisions.
About
Omnixera Teknologi Nusantara grew out of hands-on work building SaaS systems, consulting on technology strategy, and delivering AI-driven systems — including multi-agent setups that run whole workflows. That mix is the point: we advise like people who have to build it, and build like people who have to explain it.
Every engagement starts from the business result, then works back to the stack.
Security, testing and observability are part of the build, not a later phase.
We recommend AI when it measurably beats the simpler option — and say so when it doesn’t.
Clear scope, visible progress, and documentation your own team can pick up.
Reviews
We came in with a rough idea and a deadline. Omnixera turned it into a clear plan, then shipped a working release at every milestone. Our first paying customers were onboarded on the platform they built, with billing and roles working from day one.
Their agents now handle the first pass on every support ticket: sorting, prioritising and drafting replies. My team only steps in for the cases that really need a person, and nothing goes out without our approval. Response times have never been better.
We were about to commit to a full rewrite. Their review showed us which parts were actually the problem and which we should leave alone. The roadmap was clear enough that our own engineers could execute it.
They did not try to put AI everywhere. They picked one process, proved it on our own documents, and showed us the numbers before we spent more. That honesty is why we kept working with them.
Omnixera built our internal helpdesk from scratch, with agents that triage and resolve the routine requests on their own. Every action is logged, so we always know what was done and why. It feels like we added a team without adding headcount.
Communication was the standout. Scope was clear, progress was visible every week, and the documentation at hand-over meant our in-house developers could pick it up straight away.
FAQ
Yes. Most engagements begin with a discovery phase where we turn the idea into a scoped plan, an architecture outline and an estimate you can decide on.
Yes. We regularly start from an existing codebase — reviewing it, extending it, or integrating new SaaS and AI components alongside your in-house team.
Data handling is agreed before any work starts: where data is stored, which models may process it, and who has access. We design for the least exposure the use case allows.
Not always. If the scope is already clear we go straight to design and build. Consulting is for when the decision itself — what to build, buy or replace — is still open.
We can stay on for operations and continuous improvement, or hand over to your team with documentation and a transition period. You choose.
Contact
A few lines are enough. We’ll reply with next steps, or with an honest “this isn’t for us” if we’re not the right fit.