RESULT FIRST

Define the business results first,
then accept them in four steps

Customers don't need to write requirements or enter data every day. Only four things need their help.

Big Cloud proprietary industrial gateway

Direct physical connection

Business-result acceptance

HOW WE WORK

Delivery process: work back from results to data

Just four steps.

Set results

01

Which results matter?

Agree on the required business results with management and finance.

Define metrics

02

Which metrics to calculate?

Select metrics around those results, each with clear calculation rules and upstream inputs.

Specify data

03

Which inputs are needed?

Work back from metrics to required inputs. Do not collect data you will not use.

Validate delivery

04

Check against on-site records

Compare platform results with on-site records, item by item. Accept only after they agree.

DIVISION OF WORK

Responsibilities: just four tasks for the customer

None of these tasks requires daily data reporting. Big Cloud handles everything else.

Customer · Four tasks

1 Provide initial master records
2 Confirm three financial definitions
3 Select and confirm downtime causes
4 Act on site when prompted

Big Cloud · Everything else

Hardware selection, installation and setup Machine modeling Data collection and cleaning Algorithm adaptation Downtime-cause configuration Automatic platform alerts Calculation of 102 metrics Metric and definition maintenance AI business diagnostics Joint data verification Smart factory implementation Access control and system maintenance

Customers receive results. Big Cloud handles the calculation and analysis behind them.

PRINCIPLES

Trusted enough for leadership decisions

Read-only No changes to raw data

Diagnostics No machine control

Recommendations No automatic production scheduling

Verifiable Traceable conclusions

Acceptable Matches on-site facts

Clear boundaries No out-of-scope promises or invented data

Features are the means. Business results are the product.

FROM ONE PILOT

Prove the results. Then scale.

In one stamping pilot, the team completed machine connection, data checks and V1 business results in about 16 cumulative working hours. This is a specific case, not a delivery-time promise for every project.

16 hours Cumulative working time for one pilot
Not a universal delivery SLA

FAQ

We already have MES/ERP. Do we still need system integration?

Integration is not a prerequisite. Systems suffer from duplicate entry, inconsistent definitions and data lag, and integrations need long-term maintenance, so we take factual data directly from the equipment first. Existing systems can stay and be connected where feasible, but they are not a precondition.

Do we need to enter a lot of data?

No. Customers only need to help with four things: a one-time base ledger, confirming three financial definitions, selecting and confirming downtime reasons, and handling on-site issues when alerted. The ledger is one-time work, not a daily task.

Are cost and profit calculated by AI?

No. Deterministic results such as effective strokes, actual output, downtime, cost and profit are all calculated with validated rules and formulas, not inferred by large models. AI handles anomaly diagnosis, root-cause analysis and improvement suggestions.

Do you support on-premises deployment?

Cloud or on-premises deployment can be assessed according to the project.

Define the business results first, then accept them in four steps