Nobody buys an analyser. They buy a working measurement.

Four stages from a first conversation to a system the plant relies on. The second one — a feasibility study on real samples — exists so that the capital decision is made with evidence rather than optimism.

Workshop~1 hour
Feasibility1–2 weeks
To a working system3–5.5 months

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The four stages

The sequence is the same whether the answer turns out to be an analyser, a different measurement point, or a process change that needs no instrument at all.

01 Critical points and risks where losses and deviations originate which measurement points matter what a failure actually costs ~1 hour · online or on site 02 Feasibility on real samples 3–5 samples from the process preliminary model, built and tested written report — yours either way answers: measurable? at what uncertainty? 1–2 weeks 03 Architecture, technology, ROI inline, at-line or portable — and where integration design for the control layer payback calculation on the client's numbers written recommendation 04 Deployment and service installation and commissioning model calibration on production data operator training model updates for the first 12 months 3–5.5 months from workshop to working system
01 — Workshop

Start with the process, not the catalogue

About an hour, online or on site. Where the losses come from, which deviations hurt, what a bad batch costs, and which measurement points would actually change a decision. No instrument has been chosen at this stage.

02 — Feasibility

Three to five samples decide it

Real process material, measured, modelled, and compared against the reference method. The report states what is measurable, at what uncertainty, and what it would take. It stays with you whether or not anything is ordered.

1–2 weeksstudy duration 3–5samples needed
03 — Architecture and ROI

The recommendation, in writing

Measurement configuration, points, integration design, and a payback calculation built on the plant's own cost of waste, rework and downtime. Sometimes the honest recommendation is a process change rather than an instrument.

04 — Deployment and service

Then the part that never really finishes

Installation, model calibration on production data, validation, operator training, and continued model development as the process evolves. Model updates are covered for the first twelve months under the agreement.

3–5.5 monthsworkshop to working system 12 monthsmodel updates in contract
Deployment · stage 01 / 04

Where the number goes

A measurement that stops at a screen in a cabinet changes nothing. The result has to arrive in the layer where the plant already makes decisions.

X1 PROBE in the medium no sampling Spectrally OS spectrum → process value pass / fail · deviation alarms model version audit trail local database on-premise, no cloud dependency Control layer — PLC / DCS the value arrives as a process variable operators and loops act on it directly PROFIBUS · PROFINET · Modbus · GSM Records — MES / SCADA / LIMS batch record, release documentation compliance evidence, exportable CSV · PDF · RAW · RBAC Network down measurement and logging continue locally · no reagents, no consumables
01 — In the medium

The measurement starts where the chemistry is

No sample line, no conditioning skid, nothing to consume. The probe sits in the reactor loop or the pipeline and looks at the process itself.

02 — Interpretation

Spectrally OS turns it into a value

Model inference, pass/fail classification, deviation alarms, and an audit trail of which model version produced which number. Everything is written to a local database on the plant's own hardware.

03 — Control

Into PLC and DCS as a process variable

The result appears where operators and control loops already look, over PROFIBUS, PROFINET or Modbus. That is the difference between an instrument that reports and an instrument that participates.

Spectrally does not only measure — it helps to steer. Robert Stachurski, CEO · PIPC
04 — Records and resilience

Batch records, and a system that survives the network

Values flow on to MES, SCADA or LIMS as release documentation and compliance evidence. When the network is unavailable, measurement and logging keep running locally and synchronise afterwards.

On-premiselocal database RBACrole-based access No consumablesroutine operation
Integration · step 01 / 04

Two kinds of number, and they are not interchangeable

Specification and price are properties of the platform — quote them anywhere. Payback, savings and reduction percentages are properties of a segment and an installation. Resin economics are not water economics, and we will not pretend otherwise on a sales call.

Universal — platform level

Time to a result
5 s
Workshop to working system
3–5.5 months
Typical capital cost
EUR 75 000 – 250 000
Accuracy
down to single ppm, analyte dependent
4–7×

How much more the global instrument houses ask for a comparable process-analytics installation. The capital range above is the whole reason a mid-size chemical plant can consider inline Raman at all.

Per segment — from actual deployments

Rows marked illustrative are modelled figures for segments without a documented client installation yet. They are never presented as a measured client result. Empty cells mean not measured — we do not borrow another segment's number.
SegmentPaybackSavingsOther measured effects
Resins — continuous chemistry6–10 months+EUR 180 000 / yearOEE improvement, batch repeatability
Resins — European producer, 6-month observationnot measuredlosses −10 %, waste −12 %, variability <1.5 %
Cosmetics — emulsionsnot measured+EUR 100 000 / yearmixing time −12 %, rework −8 %
Cosmetics — incoming quality controlnot measuredqualitativepass/fail in minutes, sampling delay removed
Water and wastewater18–24 monthsppm accuracy; first Polish water deployment
Nitrogen fertilisers — UAN / DEF (illustrative)est. 8–14 monthsoff-spec −50–60 % (est.), DEF first-pass ~95 % (est.)
Specialty fertilisers — ATS (illustrative)est. 8–14 monthsoff-spec −45–55 % (est.), QC workload −30–40 % (est.)
Silicones (illustrative)not measuredoff-spec −6–9 % (est.), reactor time −5–7 % (est.)

What a feasibility study needs from you

The shortest path from “we think this might be measurable” to a documented answer.

What to send

Samples
3–5, from the real process
Reference values
your current method's results
Target parameter
what decision it drives
Process conditions
temperature, pressure, pH, fouling

What comes back

Preliminary model
built on your samples
Uncertainty
stated, per parameter
Configuration
inline, at-line or portable
Report
written, yours regardless of outcome

If the answer is “not with Raman”

Then that is what the report says. The platform includes SERS for analytes below plain Raman's sensitivity and NIR where Raman bands are weak — and there is a separate, technology-neutral audit of a plant's analytical quality-control system, priced as a fixed fee, whose recommendation is sometimes a process change and no new instrument at all.

Book the workshop, not the instrument

An hour on your process comes first. Everything after that — feasibility, architecture, payback — follows from what that hour finds.

Request a feasibility study