Evidence before claims
We distinguish research, prototypes and measured production outcomes, and we say which one we are talking about.
INDIA · BOTSWANA · SOUTHERN AFRICA
Applied intelligence for industrial operations.
We help mining, energy and industrial organisations turn complex operational data into dependable AI, analytics and automation solutions.
- MINING · ENERGY · INDUSTRIAL
- AI RECOMMENDS, PEOPLE DECIDE
- INCORPORATED IN INDIA, 2026
BUILT FOR COMPLEX OPERATIONS
- Mining
- Energy
- Utilities
- Industrial operations
- Forecasting
- Anomaly detection
- Data engineering
- Document intelligence
- Decision support
- Governance
CAPABILITIES
From a clear problem to a working system.
Five connected capabilities. We combine domain discovery, data engineering and production AI so the result fits the operation, not just the model.
01
Industrial AI and machine learning
Prediction, anomaly detection and optimisation built around the constraints of a real operation, not a laboratory dataset.
- Demand and load forecasting
- Equipment and process anomaly detection
- Energy and consumption modelling
Data engineering and analytics
Dependable data foundations that connect fragmented operational sources into governed, usable information.
- Source assessment and data fitness review
- Pipelines and warehousing for operational data
- Data quality rules and monitoring
Intelligent process automation
Practical automation for document-heavy and knowledge-intensive workflows, with a person accountable at every point that matters.
- Document extraction and classification
- Workflow routing and approvals
- Knowledge assistants over controlled internal sources
Applied AI solution engineering
From a tightly scoped prototype to a production integration, with security, observability and adoption designed in from the start.
- Rapid validation sprints
- Production integration with existing systems
- Secure deployment on cloud or on-premises infrastructure
AI readiness and governance
A clear path from a business problem to a responsible implementation: use cases, data, architecture, risk and operating model.
- Opportunity and use-case assessment
- Data and infrastructure readiness
- Target architecture and build-or-buy
HOW WE WORK
Start with the decision. Prove the value. Then scale.
AI programmes fail when the technology starts before the operational question is clear. We begin with the decision, its constraints and the evidence available, and a person stays accountable for the outcome at every step.
- 01
Frame
Define the decision, the outcome it should improve and the operational boundaries it must respect.
OUTPUT · A written problem statement and success measure - 02
Validate
Test data fitness, establish a measurable baseline and decide honestly whether AI is the right tool.
OUTPUT · Evidence, a baseline and a go or no-go - 03
Build
Engineer the smallest useful solution with human control, security and monitoring designed in.
OUTPUT · A working, integrated system with review points - 04
Operate
Monitor performance, drift, adoption and business impact, and hand over to a team that can run it.
OUTPUT · Operating routines, documentation and measured impact
INDUSTRIES
Built around operational reality.
Our first focus is where data, physical operations and costly decisions meet.
Mining and minerals
Forecasting, energy intelligence, equipment and process signals, and decision support for complex mine environments.
More on mining and mineralsDECISIONS WE SUPPORT
- Production and dispatch planning
- Energy and water use
- Equipment health and maintenance timing
- Safety and compliance reporting
SIGNALS WE WORK WITH
- Fleet and plant telemetry
- Historian and SCADA data
- Maintenance and ERP records
- Environmental monitoring
Energy and utilities
Demand forecasting, renewable integration, anomaly detection and planning support for generation, networks and energy-intensive sites.
More on energy and utilitiesDECISIONS WE SUPPORT
- Load and demand forecasting
- Renewable and storage integration
- Outage and asset risk
- Tariff and consumption analysis
SIGNALS WE WORK WITH
- Metering and SCADA
- Weather and market data
- Asset registers and maintenance history
- Customer and billing systems
Industrial operations
Data foundations, process visibility, quality signals and intelligent workflows across production environments.
More on industrial operationsDECISIONS WE SUPPORT
- Throughput and quality trade-offs
- Downtime causes and prevention
- Inventory and supply planning
- Shift and line performance
SIGNALS WE WORK WITH
- Line and machine data
- Quality inspection records
- ERP and execution systems
- Operator logs and handovers
Corporate and shared services
Document intelligence, knowledge workflows and governed automation for finance, procurement, HR, compliance and the teams that support operations.
More on corporate and shared servicesDECISIONS WE SUPPORT
- Approvals and exceptions
- Compliance returns and audits
- Contract and supplier review
- Access to institutional knowledge
SIGNALS WE WORK WITH
- Documents and email
- ERP and HR systems
- Policies and procedures
- Ticketing and service records
IN PRACTICE
From signal to accountable decision.
A tailored workflow, end to end: the signal comes in, rules and data do the routine work, a validated model recommends within its limits, and a named person decides with the full record behind them.
TRUST PRINCIPLES
What we hold ourselves to, in writing.
We are a new company. These are the standards we ask to be judged against, from the first engagement.
More about ApjakalHuman accountability
High-impact decisions keep a named owner and an appropriate review step. AI recommends; people decide.
Production discipline
Security, monitoring, documentation and adoption are part of the solution, not additions after go-live.
Security and governance by design
Access control, data handling and audit trails are designed with the solution and reviewed with your own governance.
START WITH THE PROBLEM
Bring us one operational challenge.
We will help determine whether AI is appropriate, what evidence is needed and the smallest credible first step. If it is not the right tool, we will say so.