Autonomous AI agents that turn your enterprise data into confident decisions — without dashboards, without analysis cycles, without waiting for someone to connect the dots.
Why It Matters
Most organisations generate more operational data today than at any point in history. Yet the majority waits — in historian systems, ERP modules, and dashboards — for someone to interpret it.
Organisations invest heavily in BI tools that nobody acts on. Low adoption, high overhead, and zero measurable business impact. Data is visible — but intelligence is absent.
Every significant decision passes through a manager who must gather data, build context, and make a call — manually. As operations scale, this bottleneck compounds into days of lost time.
ERP, MES, LIMS, and operational platforms run in silos. No unified intelligence layer connects business signals to decisions — and no one owns the gap.
QBC changes that equation. Decisions become faster. Execution becomes automatic. Insights finally translate into real, measurable business outcomes.
Our Practice Areas
We design and deploy autonomous AI agents — purpose-built around your business processes, data architecture, and decision frameworks. Our agents don’t surface insights and leave the rest to you. They act: raising work orders, quarantining batches, optimising setpoints, and drafting procurement requests — with human approval gates where it matters most.
Best for: Leadership teams looking to accelerate decisions, reduce analysis overhead, and operationalise data-driven action across functions.
We help manufacturers and industrial operators build the data foundation that makes intelligence possible. From IoT sensor deployment and edge computing to cloud data architecture, MES/ERP integration, and connected shop floor visibility — the infrastructure your AI strategy depends on.
Best for: Plant managers, operations leaders, and digital transformation heads in manufacturing, mining, cement, and process industries.
Platform Capabilities
Each agent is tenant-scoped and governed by role-based access controls. Every action is logged for full auditability. High-impact decisions require human authorisation before execution — the speed of autonomous intelligence with the control your operations demand.
Monitors data continuously against 3-sigma thresholds, ML anomaly scores, and complex event patterns. Enriches every alert with root cause context before routing.
Tracks remaining useful life, vibration, and temperature trends. Acts before failures — work orders raised, schedules updated, parts ordered without waiting.
Watches every batch against specification in real time. On SPC breach or out-of-spec result, quarantines and traces root cause before a quality manager opens their screen.
Runs continuously against OEE, quality, and throughput targets. When performance drifts or a new recipe loads, runs multi-objective optimisation and proposes validated setpoints.
Aligns consumption with tariff windows and carbon targets. Identifies load-shifting opportunities before peak windows, flags waste by asset and zone in real time.
The only agent your team talks to directly. Ask anything — inventory levels, run-out projections, lead times — via natural language against your live operational data.
Each agent operates exclusively within your data environment. No cross-tenant data access, ever.
Every action, recommendation, and decision logged to a persistent audit trail. Complete traceability from trigger to outcome.
High-impact actions don’t execute without authorisation. You define the thresholds. The agents respect them.
Industries We Serve
Designed for asset-intensive, data-rich environments where the cost of a wrong decision is measured in downtime, waste, and safety risk — not just revenue.
Multi-site IIoT across active mines and processing plants. Distributed sensor networks to AI-driven production intelligence across India and Southeast Asia.
Kiln optimisation, raw material variability management, alternative fuel blending, and autonomous quality control. Significant energy and emissions reduction through GenAI-powered process optimisation.
End-to-end IIoT covering OEE monitoring, predictive maintenance, quality traceability, and connected shop floor management with SAP S/4HANA and MES integration.
Batch quality assurance, SPC monitoring, regulatory traceability, and LIMS integration supported by autonomous Quality Guard agents in real time.
Demand-aware energy intelligence, carbon reporting automation, and load optimisation aligned to tariff windows and decarbonisation targets.
Predictive asset health monitoring, anomaly detection on critical rotating equipment, and supply chain intelligence for complex, distributed operations.
Our Approach
We don’t sell platforms. We deliver outcomes. Every engagement begins with your operations, your data maturity, and your most pressing decisions.
Digital maturity assessment, operational data landscape mapping, and highest-value opportunity identification. KPIs defined — OEE, cycle time, defect rate, equipment uptime — with a task-level execution plan.
IoT sensors deployed on critical assets. Edge computing and secure connectivity established. MES and ERP integrated for real-time data flow. Cloud data lake configured — serverless, multi-tenant, with first-party data ownership throughout.
AI agents and operational dashboards deployed and validated against live data. Operator training runs in parallel. We don’t go live until your team is confident and data accuracy is confirmed.
One production line piloted, validated, then rolled out enterprise-wide. Weekly operations reviews, monthly leadership scorecards, and a continuous improvement loop. Governance stays active until ROI is measured.
Proven Impact
Better planning, material availability, and proactive decision-making. Higher output per labour hour, significantly reduced idle time and production loss.
Automation, energy optimisation, and leaner workflows deliver direct and compounding savings in labour, energy, and materials.
Predictive material planning and intelligent stock management release 8–12% of working capital that would otherwise sit as buffer inventory.
Figures based on prior engagements in industrial manufacturing. Actual outcomes depend on operational context and engagement scope.
Why QBC
Most consultants hand you a roadmap and leave. Most vendors hand you a platform and leave. QBC does neither.
Deep cross-disciplinary expertise spanning industrial consulting, process engineering, data strategy, AI architecture, and enterprise finance. We understand both the OT environment and the boardroom.
We define your roadmap, deploy the technology, integrate your data, train your teams, and monitor until results are measurably achieved. One partner. End-to-end accountability.
Every engagement designed around your plant, your constraints, your data maturity, and your growth ambitions. We build around your operations — not the other way around.
Operations, quality, maintenance, inventory, and finance — all integrated for seamless visibility and decision-making from shop floor to C-suite.
Every architecture decision evaluated against its cost profile and expected return. Our engagements target positive ROI within 12 months with measurable milestones at every phase.
Technology Partner
Lemmata unifies traditional Business Intelligence and AI agents on a single governed data foundation — enabling organisations to move beyond static dashboards by embedding purpose-built AI agents directly within the analytics environment.
Through our partnership, QBC helps organisations design, deploy, and operationalise AI agents aligned with their business processes, data architecture, and strategic objectives.
Agents continuously analyse enterprise data, detecting patterns and anomalies across your full data landscape in real time.
Move from static reporting to dynamic, purpose-built recommendations that support faster, data-driven decisions at every level.
Reporting, analytics, and AI intelligence on a single governed foundation — eliminating fragmented analytics workflows entirely.
Dramatically reduce the time between a business event and the action taken — across every department and tier of leadership.
The Team
Three co-founders. Collectively bringing 18–20+ years of expertise each, across industrial operations, AI, data engineering, sales, and strategic consulting. Small by design. Accountable by commitment.
20+ years specialising in greenfield turnkey projects under BOT format — solving complex industrial challenges in cement, mineral processing, and sustainable energy.
18+ years of expertise in building enterprise-scale AI Ready Data Engineering, Technical Architecture, and AI solutions. Specialises in designing high-performance data pipelines and multi-tenant governance models that bridge the gap between complex industrial telemetry and executive-level insights.
20+ years in data, analytics, and fintech — leading operations, driving transformation, building analytics teams, and advising startups on strategic growth.
Place facts and figures first, so that every sip of coffee, every meeting, every decision is not just energized — but enlightened.
Coffee is your meetings, conversations, and decisions. Quant is the intelligence drawn from data — the clarity of numbers, the discipline of analysis, the truth beneath instinct. Before the ritual, before the energy, before the rush of the day: let intelligence lead.
Whether you are exploring Agentic AI, building an IIoT foundation, or transforming a specific operational challenge — the conversation starts here.
We work with a focused number of clients at any time to ensure delivery quality.
If you are evaluating partners, let’s talk early.