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AIKEMICS / Platform /Consulting & integration
Services · Consulting & integration

Embed predictions where your line already runs.

Joint scoping, calibration on your proprietary data, pipeline setup, and integration into MES, LIMS, SCADA and PLC environments. We stay engaged until the model is live, validated and owned by your team.

An engineer at a keyboard with process data on the monitor behind them
How we engage

A finite engagement with a deployable result.

Every engagement starts with a tight scoping phase. We define the manufacturing question, identify the right physics and ML modules, agree on calibration data, and lock acceptance criteria. No open-ended retainers. No vague deliverables.

From there we calibrate generic models against your proprietary line data, build the integration pipeline into your systems of record, and hand over a validated, documented, version-controlled deployment. Your team owns the result on day one. We are available afterwards, but not required.

What an engagement includes

From the first call to a model in production.

01 / 04

Joint scoping

We start with your manufacturing question, not with a generic toolkit pitch. Scope, deliverables and acceptance criteria are written down before any work begins.

02 / 04

Calibration on your data

Generic physics and ML models get calibrated against your proprietary measurements (line data, characterization results, recipe history), so predictions reflect your reality rather than literature averages.

03 / 04

Pipeline & integration

We build the data pipeline that feeds the model and the integration that surfaces its output in MES, LIMS, SCADA or PLC. Wherever your operators and engineers already work.

04 / 04

Validated handover

The engagement ends with a documented, version-controlled deployment, a validation report and a trained internal owner. Not a slide deck and an invoice.

How we deliver
scoped
engagements with clear acceptance criteria
on-prem
or private-cloud deployment
white-box
no black-box lock-in
owned
by your team after handover
Where we plug in

Your systems of record stay central.

Aikemics is designed to integrate, not replace. We expose model outputs as REST endpoints, OPC UA tags, MES events or scheduled batch exports. Whichever shape fits your existing automation and data architecture.

The hybrid architecture supports local-first execution for sensitive process data, with cloud-synchronized model libraries for updates. Sovereignty constraints, on-premise requirements and air-gapped deployments are first-class scenarios, not afterthoughts.

Common questions

What integration teams ask.

Scoping is usually one to two weeks. A first calibrated module in production typically takes eight to sixteen weeks depending on data readiness and integration complexity. We commit to dates in the scoping contract, not after.
No. On-premise and private-cloud deployments are supported, and calibration can be performed inside your environment under your data governance. Where data does move, it does so under explicit scope and contract.
You own the deployment, so day-to-day operation does not depend on us. We offer optional support and recalibration contracts for major line changes (new chemistries, new formats, new equipment). Routine drift gets handled by your team using the tools we leave behind.
No. We integrate with them. Aikemics adds a predictive layer alongside your systems of record. It does not try to become one.
Consulting & integration

From a scoped question to a model in production.

Tell us the manufacturing question you want answered. We return a one-page scoping note with timeline, calibration data needs and acceptance criteria within a week.