AI consulting, implementation and hosted agent operations for founder-led and operations-heavy businesses. We turn messy inboxes, reporting loops, documents and internal workflows into monitored agents with clear approvals, logs and support boundaries.
Most businesses don't need another chatbot demo. They need agents that do one job well: read the right systems, take bounded actions, ask for approval when needed, and leave an audit trail.
Rise Robotics brings production engineering discipline to AI consulting: narrow scope, real integrations, monitoring, failure modes, and a managed-service path after the first useful workflow is live.
We design, build and host narrow AI agents around the work your team already does: triage inboxes, draft replies, prepare reports, watch sources, process documents and call the tools you approve. Each agent is customized to your data, your workflow and your risk tolerance.
A focused audit of where agents can actually help: what to automate, what to leave human, what data is safe to use, and what the first narrow deployment should prove.
Robotics and building-automation work give us a harder engineering standard: agents should connect cleanly to real systems, fail visibly, and never hide uncertainty behind a chat box.
Fifteen-plus years building enterprise SaaS — multi-tenant platforms, BAS integrations, Niagara N4 modules, BACnet device fleets, MQTT pipelines into TimescaleDB, and production AI workflows that quietly handle inboxes, reporting and monitoring.
That work taught me where the real friction lives: not in the algorithms, but in the wire between them and the physical world. Rise Robotics is the next eighteen months of betting on that wire — shipping robots and hosted agents that speak the protocols operations teams already trust.
We start with one painful workflow, build the agent around your actual tools, then run it with logs, monitoring, prompt/tool maintenance and human approval rails. Your team gets the outcome without owning the agent plumbing.
Typical engagement runs 2–8 weeks. Start with one workflow, prove the agent is useful, then move to managed hosting only when it earns its keep.
We map the systems already in place, the approvals that matter, and the smallest useful agent workflow we can prove.
A live deployment against a single measurable outcome — inbox triage, lead follow-up, report generation, document intake. You see the logs from day one.
We either harden the system for your team to operate, or host it with monitoring, prompt/tool maintenance and approval rails.
Yes, but scoped around one workflow. The useful endpoint is a hosted agent or operating playbook, not a generic AI strategy deck.
Yes. Hosted services include logs, monitoring, maintenance windows, approval/veto paths and clear support boundaries.
If it speaks BACnet, Modbus, oBIX or MQTT — almost certainly. Niagara N4 sites are home turf.
Based in Singapore. Pilots in APAC are simplest; we travel for production deployments globally.
We avoid open-ended AI retainers. Start with one workflow, price the build clearly, then move to monthly hosting only when the agent is useful enough to keep running.
One to two working sessions to map the workflow, pick the first agent-safe use case, and define the data, tools, approvals and support boundaries.
Narrow first agents for inbox triage, follow-ups, document summaries and simple reports. Heavier CRM/API integrations or multi-workflow systems are scoped separately.
Managed hosting, monitoring, logs, prompt/tool maintenance, light improvements, support windows and human approval or veto rails.
One workflow, light integration, human approval and monthly tuning.
More integrations, reporting, monitoring and weekly support.
Multi-step workflows, dashboards, stricter controls and SLA options.
30 minutes, no slide deck. Sketch the workflow: inbox, reporting, research, document intake, follow-up. We'll tell you whether an agent is worth building.
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