A Kimia deployment runs in a fixed sequence: scope one business unit, onboard its product knowledge into product records, validate the outputs with your own technical experts, pilot inside a live commercial workflow, then roll out to further business units and applications. Kimia is a chemical intelligence platform, and deploying it is not an ERP-scale programme. Not a single IT ticket is required.
Deployment starts with one business unit
Chemical companies often expect an AI deployment to behave like an ERP programme: every team involved, value arriving only at the end. A Kimia deployment is scoped the opposite way. You pick one business unit, one portfolio and one commercial owner, and the deployment answers to that unit's KPIs. The people involved are the ones who benefit: your product owners and your technical experts.
In practice: a performance coatings business unit becomes the first deployment because its reps cover a portfolio too broad for any one of them to know deeply. The unit's commercial lead owns the rollout and the KPI it reports against.
Knowledge onboarding builds the product record
The business unit brings what it already holds: technical data sheets, safety data sheets, application notes, PIM and ERP exports. Kimia structures that material into a product record for every item in the scoped portfolio, a product passport connecting properties, applications and regulatory context. The onboarding process helps you structure and validate your knowledge, so you do not need to solve your data problem before you start.
In practice: an adhesives business unit brings its technical data sheets, application notes and a PIM export into onboarding. Kimia structures them into a product record per adhesive, so open time, substrate compatibility and cure conditions sit in one place instead of across three systems.
Expert validation comes before any user sees an answer
Validation is a phase of its own, not a spot check. Your own technical experts review Kimia's outputs before anyone uses them, and nothing goes live until it is accurate. Every answer is grounded in your knowledge base and cites its sources, so a reviewer sees how a conclusion was reached instead of guessing at it. You stay in control of the standard, and that control is what makes the later phases safe to run quickly.
In practice: before a substitution workflow goes live, a technical manager reviews how Kimia answers alternative-product questions for EU customers, checking that REACH constraints rule out the candidates they should. Because answers cite their sources, the review is a read, not an investigation.
The pilot runs on real field questions
With validated knowledge in place, the pilot puts Kimia in front of a limited group inside a live commercial workflow. The pilot is judged on whether answers hold up on the questions the field asks: multi-constraint substitutions, regulatory boundaries, requests where the honest answer is uncertainty. Fluency is easy to overvalue because it is visible. A pilot measured on real questions gives you evidence to expand, or the specifics to fix first.
In practice: a pilot group of reps puts its hardest live questions to Kimia. A substitute for a discontinued polyurethane dispersion. A food-contact constraint on a packaging adhesive. A customer specification that conflicts with the current TDS. The pilot passes on accuracy, and on nothing else.
Rollout extends by business unit and by application
Rollout is the phase buyers picture first, and it comes last. Expansion runs along two axes. New business units come online against knowledge that has already been onboarded and validated, so overlapping portfolios are not onboarded twice. And the deployment widens across Kimia's four applications: Product Knowledge Hub, Technical Sales Assistant, Customer Concierge and Document Studio, each drawing on the same product records.
Use case: a distributor that piloted Kimia in one regional business unit extends the rollout to a second region selling an overlapping portfolio. Products already onboarded carry their product records across, and the second unit's experts validate only what is new to them.
What a completed deployment gives you
Structured product records: every product in the scoped portfolio carries its properties, applications and regulatory context in one place
Validated answers: your technical experts approved the outputs before launch
A rollout template: each new business unit reuses onboarding work already done
No IT backlog: deployment runs through product owners and technical experts
The commercial case for deploying at all
Speed of first response is where the deployment pays back, according to Velocify research cited in Kimia's launch announcement.
391 percent: conversion lift from one-minute responses (Velocify)
78 percent: buyers choose the first responder (Velocify)
4: Kimia applications in a full rollout
Deployments in production
Kimia is live with enterprise customers including Bostik, Univar Solutions and Stahl. Univar Solutions deploys Kimia to accelerate technical sales. Aldric Tourres, Global Director of Digital at Bostik, describes the relationship: "Kimia has become our partner of choice within Bostik for scaling technical expertise globally."
Deployment order is the control. One business unit, then its knowledge, then expert validation, then a pilot on real field questions. Each phase produces something the rollout after it reuses.
FAQ
Is deploying Kimia an IT project?
No. Kimia is up and running without a single IT ticket raised. The people involved in a deployment are the ones who benefit from it: your product owners and your technical experts. Security review runs on its own track, and Kimia's compliance covers SOC 2 Type II and GDPR.
Do you need clean product data before deployment starts?
No. The onboarding process helps you structure and validate your knowledge, so you do not need to solve your data problem before you start. Technical data sheets, safety data sheets, application notes and PIM or ERP exports are enough to begin building product records.
What does the data onboarding journey look like?
Data onboarding starts from the documents the business unit already holds and ends with a validated product record for every item in the scoped portfolio. Kimia structures the material, your technical experts check and correct it, and the validated knowledge then serves every application in the rollout.
Can you roll out to every business unit at once?
You can, but the sequence works better the other way. A pilot in one business unit produces validated knowledge, a tested workflow and evidence of accuracy, and the wider rollout reuses all three. Scoping the first deployment narrowly is what keeps it from becoming an ERP-scale programme.
