Go from alarm to resolved in minutes, not hours. Taikun is the autonomous AI agent layer that pulls your SCADA, CMMS, and field data into one correlated answer, then closes the loop. It resolves the low-risk calls on its own and routes the high-risk ones to a human. You set the autonomy, per workflow.
Connects to the systems you already run, with no rip and replace
Traditional monitoring systems flood control rooms with endless alarms but leave your engineering and field teams to diagnose the root cause. The moment an operational anomaly occurs, Taikun instantly cross-references SCADA and operational systems, equipment history, and historical field notes to diagnose the failure automatically. By mapping out the exact issue and drafting a targeted corrective action that either AI or your engineers solve, it eliminates hours of manual data-chasing so your crew can focus entirely on the physical fix.
An event can arrive from a SCADA alarm, a methane sensor, an API alert, a Kafka topic, a Flink anomaly, a ticket, a scheduled job, or an operator question. Define the trigger, the evidence to gather, the reasoning, the action, and the audit. Taikun takes it from trigger to outcome.
Dump valve sticking. Replacement recommended.
Customers already have the first one. Taikun is the second: the difference between knowing something happened and knowing why, what to do, and how to prove what was done.
When a critical alarm fires, your highest-paid experts turn into data-entry clerks: pulling the SCADA trend, hunting the open work order, reading field notes, and burning windshield time to check a sensor glitch. They are the integration layer between your systems. That holds until the alerts outnumber the experts. Taikun does that first layer of work, so your people are left with the calls only they can make.
The manual way
Operator pieces it together
With Taikun
Maxwell correlates everything
The same operations, run as governed workflows. Here is what changes when Taikun handles the work from an event to a resolved outcome.
Estimate the hours, cost, and resolution time Taikun gives back across your asset base.
Taikun ranks every open event by deferred-production value and surfaces the recurring patterns, so the morning meeting starts with what actually moves the needle, not the loudest alarm.
One ranked list, one set of patterns. Your superintendents fix the five that matter and watch the trend, instead of chasing 100 alarms.
Companies spent years connecting assets, collecting data, and building dashboards. Taikun is the next step: execution.
SCADA, historians, SQL, APIs, Kafka, Flink, CMMS, ERP, spreadsheets, documents, and field notes. Each system stays the system of record.
Evidence gathering, query generation, hypothesis testing, classification, report drafting, and workflow execution that normally consumes scarce experts.
Not a chatbot beside the operation. A workflow engine that investigates, decides, escalates, acts, monitors, closes, and reports.
Model allow-lists, budgets, rate limits, provider routing, approval gates, and audit rules on every AI workflow.
Every workflow produces a replayable record from event to evidence to decision to outcome.
Deploy in your cloud, on-prem, or fully air-gapped inside your OT network. Same product, your choice of posture.
Taikun doesn't require a rip-and-replace. It connects to the systems you already operate, keeps each one as the system of record, and reasons across them, writing back only where the workflow allows.
Bring automation into production without putting your standard operating procedures or safety mandates at risk. Every lookup, recommendation, and action runs through a fail-closed gate you control. The AI never acts outside the limits you set. You set the autonomy. Let agents resolve low-risk events on their own, and require human approval on the high-risk ones, per workflow, per policy. Everything runs in the execution path, not audited after the fact, and every decision is traceable from trigger to outcome. Teams don't just need an answer; they need to defend it.
A policy receipt shows exactly why each AI call was allowed or denied (model, budget, rate limit, and approval), recorded by default. Built for the safety review and the morning production meeting.
The same engine, whether the event is an alarm, an anomaly, a ticket, or a question.
Receive an alert, alarm, anomaly, ticket, scheduled task, or user question from any external system, API, stream, sensor, historian, or database.
Convert the signal into a structured event (tenant, source, asset, timestamp, severity, payload, workflow context, and trace ID) that stays consistent across every industry.
Query SCADA values, inspect trends, read logs and field notes, check maintenance records, pull production data, and compare against baselines, all in parallel where possible.
Run the workflow assigned to that event. It decides what evidence is needed, what tests to run, when to use AI reasoning, and when a human should approve the next step.
Deterministic checks handle the facts that must be reproducible. AI handles the messy work: reading notes, interpreting context, comparing past events, and drafting a rationale.
Recommend the next step, open a task, prepare a work order, route an approval, or close when policy allows. High-risk cases escalate with the full evidence pack.
Every workflow logs the original event, sources queried, calls made, SQL generated, evidence returned, models used, policies enforced, decisions, approvals, actions, and reports. The result is a replayable record of how each operational decision was made.
People make the critical calls. Taikun does the lookups, the triage, and the handoffs in between.
The same event, handled by Taikun: from sensor to closeout, with the audit trail created as the work happens.
Same workflow, three possible endings, each chosen by the evidence:
At month-end, the same workflow pre-populates the 22-column report. The work is done once, and the audit trail is created as it happens. Figures from a deployment with a supermajor operator, shown anonymized.
High-volume environments don't need AI reasoning on every raw event; they need scalable detection first, then intelligent workflow execution.
Kafka and Flink process raw events, detect anomalies, enrich signals, and publish incident candidates. Taikun consumes those anomaly events and launches the appropriate workflow: gathering supporting records, inspecting related events, classifying the likely issue, generating a recommendation, routing the action, and preserving a traceable record.
Put a specialist agent on your highest-value problems. Each one investigates, decides, and resolves end to end: autonomously where you allow it, with approval where you require it.
Spots downed assets in real time, prioritizes recovery by deferred-production value, and dispatches the field workflow: autonomously for low-risk calls, with human approval for the rest.
Continuously analyzes lease operating expense across the fleet to flag configuration drift and billing anomalies before month-end close, with the evidence already attached.
Catches methane releases in minutes by cross-referencing sensor spikes with compressor telemetry, then auto-generates the audit-ready documentation regulators expect.
Answer operator questions, summarize asset status, and recommend next steps from live and historical data.
Classify events, prioritize response, route approvals, open tasks, and close the loop when resolved.
Connect equipment alerts to work orders, parts, field notes, history, and corrective actions.
Consume Kafka & Flink anomaly outputs and turn them into governed investigation workflows.
The same engine encodes any repeatable operation you run, whatever sits between your events and your outcomes.
Proven in oil & gas, the same agent architecture extends to utilities, mining, water, manufacturing, transportation, and telecom.
Taikun connects to the systems you already have, automates the work your teams do every day, governs every AI workflow at runtime, and traces every decision from trigger to outcome. That is how industrial AI moves from experiment to production.