Solutions
A living model of your operation that you can query, simulate and optimize.
01Overview
The word digital twin is used for many things, from a 3D visual to a spreadsheet. We use it for something specific. A twin is a connected model of your operation: the assets, processes, people, orders and rules, with the relationships between them, kept in step with reality by live data. You can look at it, query it and run what-if scenarios against it.
We build twins on the ontology. A pump is not just a tag in a historian. It is an object linked to the plant it serves, the work orders against it, the technician assigned, the spare parts in stock and the downstream process that depends on it. When that structure exists, a question such as which customers are affected if this pump fails has an answer, and an agent can find it without a hand-built report.
We start narrow. One plant, one corridor, one cooperative, one network segment. The first twin answers a few high-value questions with real data. We then widen it object by object, so the twin grows with trust. Simulation arrives when the model is accurate enough that its predictions have been checked against what actually happened.
02
In most organizations each team holds a partial view. Operations has the schedule, maintenance has the work orders, finance has the cost and planning has the forecast. They disagree because they use different definitions and different timing.
The twin gives them one place to look. People can zoom from the national network to a single asset and back, and every view comes from the same objects. Meetings change from arguing about whose number is right to deciding what to do.
03What you get
We model assets, processes, locations, people and orders as connected objects. Properties come from sensors and systems, and links describe how things depend on each other. The result is a graph you can query in plain language and through APIs.
Dependencies are where the surprises live.
We connect the twin to SCADA, ERP, maintenance, GPS, IoT and spreadsheets, and agree how fresh each feed must be. Each property carries a timestamp and a source, so users know how current a value is. When a feed fails, the twin says so instead of showing stale data as fact.
A twin that lies once will not be trusted again.
We build simulations on top of the twin for questions such as what if this line stops, what if demand rises by a quarter, what if a road closes for a week. Models are calibrated against history and their forecast error is reported. Scenarios can be saved, compared and shared.
Try the expensive decision on the model first.
We add models for failure, demand, delay and loss, and optimisation for scheduling, routing and stock. Results are written back onto the objects, so a prediction appears beside the asset it concerns. Planners can accept a proposal or change a constraint and recompute.
Insight is useful where the decision is made.
Agents can read the twin and propose actions, such as raising a work order, rebooking a shipment or alerting a manager. Each action runs through the permissions and approvals for that object. A planner reviews and approves the actions that change the real world.
Agents are safer when they act on a model with rules.
Where location matters, we add maps, floor plans and 3D views over the same objects. A user can click a building, a vehicle or a field block and see its state, history and open actions. Visuals are optional and never replace the underlying model.
Some questions are easiest to answer by looking.
Free 30 minutes with an engineer.
04African sectors
Situation
A grid operator wants to know which feeders are close to overload and which customers lose supply if a transformer fails.
What it does
The twin links transformers, feeders, meters and crews. Simulation shows the effect of a fault or a switching plan.
Human decides
The control engineer chooses the switching plan and dispatches crews.
05Boltcliq platform
Boltcliq product
Holds the ontology of the twin: the objects, links, rules and actions, with versioning and review.
One definition of every asset and process.
Boltcliq product
Runs ingestion, simulation and agent workloads and stores operational data on Postgres, portable across regions.
Compute and data can stay in-country.
Boltcliq product
Monitors data freshness, model error and decisions, so the twin stays trustworthy.
You know when the twin is wrong.
06
Does
Does not
07FAQ
Experience you can lean on
Immersed in technology and across many different verticals, so the people on your project have done this before.
AI Digital Twin
Tell us the problem. An engineer, not a salesperson, answers.
A living model of your operation that you can query, simulate and optimize.
