Analyses closed
Field data from manufacturing, finance and the public sector
118analyses
Decision AI that stops losses before they happen
The totals look profitable —yet profit is leakingWe show the cause and the amount before the decision
We find where cost, inventory, equipment, quality or production drifts from your own rules, and hand over the cause, the amount and the evidence together
Plant managerFlagged the moment cost moves unlike usual, with cause and evidence
Loss here is not scrap or accidents. It is every moment revenue comes in but profit leaks — where margin, inventory, purchasing, production or quality drifts from the company’s own rules. You hear the moment it happens, with cause, amount and evidence on one screen.
Material cost at plant 2 has left its usual range — the cause?
- Cause
- A higher main-material price and a yield drop on line 2 account for most of the increase
- Amount
- Material cost +25.0M KRW
- Evidence
- 12 purchase vouchersMES batch logPublished FX rate
Products
Which product you start with depends on your industry and your data
All of them run on the same ontology platform, DARVIS. Profit OS starts with cost and widens by loss domain, and the judgement accumulates for the whole company.
- Profit OSManufacturing Profitability IntelligenceManufacturers whose cost swings
Catches manufacturing losses before they happen — starting with cost and inventory loss, and widening the same way to equipment, quality and production loss.
- Cost loss · live
- Inventory loss · live
- Equipment loss
- Quality loss
- Production loss
- DARVIS DBStructured dataWhere structured data sits in separate systems
Joins ERP, MES and spreadsheets into an ontology, then answers questions with tables and charts.
- DARVIS DocsUnstructured documentsPublic sector · defense · construction · pharma
Finds the clause behind the answer in regulations, drawings and reports — within each person’s access.
- DARVIOAI diagnosis consultingWhen a diagnosis should come before a rollout
AI diagnosis with consultants on top — in 1–3 weeks, it shows where the loss is first.
Not sure which one fits? Start from the cases by industry below. See all cases
Customers we work with
From manufacturing to public sector, finance and defense — industries of every kind work with DFINITE
By industry
What we work on, industry by industry
The more layers of systems a company has, the better this fits — not because the data is missing, but because joining it is still left to people.
Cost, equipment and documents each sit in a different system. Joining them into a reason is still left to people.
- Flags cost moving unlike usual and lets you act without waiting for the close
- Slices equipment signals by work order and joins them to quality records
- Finds documents scattered across systems with a single question
Published cases
- Large food manufacturerCost cause analysis from three hours to five minutesRead the case
- System semiconductorValidated in two weeks against 109 real questionsRead the case
- Automotive partsMaterial planning verified in real timeRead the case
- Electronic componentsThree AI agents taken through a full PoCRead the case
The record so far
The companies we’ve worked with, and what we sell today
See all cases
First rollout
One plant · one product family
4~6weeks
Start now and you get your first alert before the next month-end close.
Cases
Analyses we actually ran on the factory floor
Commercial printing
Measured across every order, on direct cost alone. The data already existed; it just arrived after the decision was made
Electronic components30–50 employees
- Analysis axis
- Unit cost by item
- Output
- Candidate causes with evidence
Automotive parts50–100 employees
- Analysis axis
- Input cost by process
- Output
- Variance broken down by contribution
Food100–200 employees
- Analysis axis
- Margin by product family
- Output
- Loss-making segments identified
Company names are anonymised — only industry and size are shown. We list the scope and the outputs only; performance figures are published once attribution has been checked.
How the platform is built
Meet DARVIS
- 01
Name the question
Interviews on the floor decide who must hear first when cost moves unlike usual.
- 02
Map the data
Scattered ERP, MES and sensor data joined into a single map.
- 03
Agent workflow
A question in plain language comes back as an exact table or chart.
- 04
Deliver the alert
When something drifts, the alert lands in Slack or email with cause and evidence.
- 05
Operate and extend
We plan to widen the scope of analysis as usage tells us where to go.
Who does what
Who keys in the data? — Nobody
What the customer prepares
- One read-only connection to ERP, MES and cost sheets
- 2–3 interviews — the words and rules the company runs on
- The last 3–6 months of close data
Nothing new to key in. We read the systems you already have.
What DFINITE does automatically
- Joins scattered tables and documents into one data map
- Learns the usual range and catches the moment it drifts
- Packages cause, amount and evidence into an alert
What people check
- Whether the flagged item is real
- Which action to take — quote, purchase, reallocate
- Recording the decision and its outcome
People execute and approve. The system proposes and records.
Public funding
How public funding can cut what a rollout costs you
Based on Korean smart-factory funding programmes
The chart shows the structure only. The funded share and whether you are selected depend on each programme’s notice and review.
Which programmes apply
Manufacturing AI Innovation, Manufacturing Smart Service, the AI Voucher, the S Voucher and the Data Voucher.
We help, at no charge
From writing the application to handling the review, we prepare it with you.
How the review runs
Review periods differ by programme notice. You can start it in parallel with the product kickoff.
First rollout scopeOne plant · one product family
Time to kickoff4–6 weeks
Security and trust
Every customer’s data stays protected
Your ERP and MES stay untouched
DARVIS connects to your existing systems read-only.
An on-premise install keeps your data under your control.
Everything encrypted
TLS 1.3 in transit · AES-256 at rest · RBAC for access.
Transit, storage and access are each controlled separately.
The controls we design to
Your data is returned immediately when a contract ends.
We have passed a government security review and designed against ISO 27001 controls.
Technical review
What IT asks first, answered first
It attaches read-only
Your ERP and MES are untouched. Nothing is written back to the source systems, so there is no redeployment and no change to the screens your people already use.
It can sit on-premise
A configuration that keeps your data inside your own network is supported. A plant with air-gap requirements can be reviewed on the same structure.
TLS 1.3 · AES-256 · SSO/RBAC
TLS 1.3 in transit and AES-256 at rest. SSO and role-based access control integrate, and we have passed a government security review.
We will write up the integration structure, the data flow and the security controls and send it over — and set up a review meeting with an engineer if you want one.
Next step
Start on the path that matches your role
If another month went by without knowing where profit leaked, next month you can hear first. It starts with one early signal, and decision criteria accumulate with use.
Plant manager · cost owner✓ Read-only connection · starts in 4–6 weeks
IT lead✓ No changes · on-premise · ISO 27001 controls
Public-sector lead✓ Programme guidance · we apply with you
FAQ
Frequently asked questions
Plant
IT
C-level
Public sector