Local LLM Financial Swarms
Researching how entirely offline, localized AI agents can analyze financial documents and coordinate logic without risking data leakage.
Based in Petaling Jaya, the premier advanced IT and AI software infrastructure firm engineering the next generation of AI automation, quantitative finance platforms, and self-evolving agentic systems. Moving beyond software implementation into the creation of owned intelligence.
The labor market has irrevocably shifted. Frontier professionals are attempting to utilize artificial intelligence to solve complex problems, but legacy IT architectures constrain their potential with data silos and fragile integrations. The barriers must be dismantled. From M365 ecosystem orchestration to production-grade self-healing automations via n8n and Python, we design digital nervous systems that never sleep, never fail silently, and continuously adapt to operational friction.
The engineering philosophy is backed by production-grade software assets.
Assume absolute control of the LLM fleet. Route, monitor, and forecast AI consumption with sub-millisecond proxy latency, ensuring 99.99% uptime and granular per-user telemetry.
Absolute data sovereignty. A privacy-first, offline PDF reader ensuring that highly sensitive research and intellectual property never touches a cloud server.
For elite trading desks and family offices, static algorithmic trading models inevitably decay. Enter OpenAlpha: a self-evolving, multi-agent ecosystem that acts as a continuous, autonomous quantitative research firm.
Reasons across labs, notes and history to surface differentials and flag risk earlier — always physician-in-the-loop, never autonomous. The doctor decides; the agent does the legwork.
One continuous patient timeline — from ICU to ward to home — instead of isolated snapshots scattered across systems. Every visit, result and decision, remembered and in context.
Admissions, beds, pharmacy, billing and discharge — the whole hospital running on one connected system, with agents handling the repetitive coordination in the background.
The network and eLab are the headline — but the same thesis runs through everything else we ship. Small, private, on-device tools that put the intelligence next to the user. Most are live today.
Bring any agent — yours or a vendor’s — onto the network with a single secure handshake.
Every agent carries a verifiable identity card, so others know exactly who they’re talking to.
Agents exchange tasks over encrypted, permissioned channels — nothing ever leaves your boundary.
The network coordinates the work and reports back — with a full, auditable trail of every action.
We believe the future of autonomous systems should be verifiable. Through our Open Research Hub, ePATNER contributes directly to the global engineering community, establishing the standards for the next generation of AI.
Researching how entirely offline, localized AI agents can analyze financial documents and coordinate logic without risking data leakage.
Open-sourcing architectural standards for n8n and Python workflows that detect their own API failures and rewrite their payloads to fix broken endpoints.
Take one of the open directions above and help us push it — from a prototype to a paper to production.
Our tools are built in the open. Fix a bug, add a provider, sharpen the docs, or ship a whole feature on GitHub.
Bring your own agent onto the Agent Network, or wire an existing app into the private messaging fabric.
If you run a clinic or hospital, partner with us to trial the clinical copilot and medical-memory layer.
of enterprise software projected to embed agents by 2028
projected agentic-AI market by 2030
products across agents, healthcare, on-device AI and dev tools
physician-in-the-loop on every clinical decision