AI that fits the work.
Four industries. Each page names the workflow, the data it reads and the output you get — not just the model.
Where the work piles up.
Pick the page that sounds like your backlog. Each one starts with the output, then works back to the data.
Life sciences
Certificates of analysis, batch records and study reports in. A reviewable schema out, with nulls instead of guesses and a queue for anything uncertain.
For pharma, CDMO, virtual pharma, biotech and medtech.
AI for life sciences →Oil and gas
Five scoped workflows: air compliance and gas capture, allocation and settlement, produced water forecasting, AFE and field ticket audit, and lease and title extraction.
For producers, midstream, water handlers, operators and sponsors.
AI for oil and gas →Automotive
Catalogs matched, fitment kept in one record, imagery rendered to spec and creative produced for every channel size.
For OEMs, aftermarket suppliers, distributors and dealer groups.
AI for automotive →Conversational outreach
Every AI reply checked before send, every conversation scored against the campaign rules, every handoff kept. Under the platform, not instead of it.
For outreach platforms, contact centers and BPOs.
AI for conversational outreach →From product photos to a geometry pack.
A turntable capture becomes a reviewable model: orthographic views, measured extents, topology and a fit score. For packaging fit, DFM review and reverse engineering.
A capture becomes a sheet. Client products are not published; ask for a dry run on yours.
The pieces behind every industry page.
The runtime decides what continues and what was good. The applications do the work. Industry workflows are scoped on top, one at a time.
Controller
Predicts in the first 50 tokens, stops the run and reroutes the job.
Read more →Boards
Agents claim tasks, post results and share the facts. Handoffs stay in one place.
Read more →Evaluation
Rubrics and behaviour classifiers. Every run gets a verdict, not a quarterly score.
Read more →One workflow. One quote. One dry run.
No platform migration. No blank cheque. Start with the smallest output that proves the shape.
- Pick one workflow.One filing, one reconciliation, one forecast or one campaign.
- See the schema or rubric.We show the fields, checks or scoring rules before anything is processed.
- Get a price.Agreed before the run. Paid when the output is delivered.
- Keep the record.The run, the verdict and the handoff stay on a board.
Before you pick a page.
What does Melmac actually run today?
The runtime is Controller, Boards and Evaluation. The applications are Ads, Studio, PartnerNote, Crosswalk, PIM, Forecasting and Ontology. Industry workflows are scoped on top of those, one workflow at a time.
Are the industry workflows off-the-shelf products?
No. They are scoped workflows built on the same runtime. Each one starts with your data, one output and one reviewer, and is quoted before it runs.
Does Melmac replace an existing platform or system?
Usually not. Melmac can sit under an existing platform, feed a PIM, ERP or CRM, or be the record itself. For conversational outreach, it is the runtime underneath the platform you already run, not a replacement for the channel, the compliance engine or the customer relationship.
Are the demos on these pages real client results?
The artefacts are illustrative dry runs, not client results. They show the shape of the work: a schema before extraction, a confidence on every pair, a verdict on every reply.
How is an industry engagement priced?
One price, agreed before anything runs. You pay when the task is done. There is no token meter and no open-ended retainer.
Where does the data run?
Melmac runs on Google Cloud. Deployment, retention, access and the data boundary are scoped per engagement before any data moves.
Tell us which workflow hurts.
One task, one quote. We will tell you if it is a fit.