Structured records for every project
Bring files, notes, results, SOPs, papers, and operational records into one durable project corpus.
Industrial intelligence for teams navigating complex operations.
MAIC turns your project files, reports, notes, and results into structured intelligence — source-grounded answers your team can trace back to the original record before decisions move downstream.
In plain terms: an AI knowledge base for industrial operations. Upload documents into a project workspace, ask questions in plain language, and get answers with citations to the exact files behind them.
Project corpusNickel manganese production review
What changed before batch 42 drifted out of spec?
The strongest evidence points to a longer drying window, a supplier material change, and a matching note in the quality review.
shift-notes.md:18assay-results.csv:42quality-review.txt:7
assay-results.csv
shift-notes.md
thermal-cycle.pdf
quality-review.txt
Grounded answers
Evidence-led answers for every operational question.
Upload a project file set and MAIC structures the record, retrieves the most relevant context, and keeps the answer tied to the original source material.
Surface the most relevant evidence
Ask natural-language questions across the corpus and inspect the exact excerpts behind every answer.
Build team confidence and capability
Give operators, engineers, analysts, and managers a shared evidence layer they can trace and trust.
Powered by grounded retrieval
An expert in the loop that amplifies your team's judgment.
MAIC never invents data. Every answer is assembled from excerpts retrieved out of what your team actually uploaded, with the supporting documents alongside — so people stay in control of the call, with the evidence in front of them.
Use cases
Built for teams whose decisions depend on files, notes, records, and hard-won context.
Mining
Shift reports, assay PDFs, maintenance notes, environmental files, and incident records rarely live in one place.
Ask for comparable events, recovery patterns, equipment context, or compliance evidence and get cited answers from the project corpus.See how it works →Manufacturing
Production teams need fast recall across SOPs, batch records, quality checks, supplier specs, and operator notes.
Find the source behind a defect, deviation, or process decision before teams change a line or release a batch.See how it works →Materials and batteries
Materials teams need to connect formulations, characterization files, test results, protocols, and process changes.
Compare runs or batches, surface prior findings, and keep reasoning attached to source documents.See how it works →Semiconductor and technical teams
Fab, process, and applications teams work across recipes, metrology exports, customer notes, papers, and tool documentation.
Trace yield, reliability, or materials questions back to exact uploaded excerpts before decisions move downstream.See how it works →What's next
What's coming next for industrial knowledge work.
Records
Bring files, notes, results, SOPs, papers, and operational records into one durable project corpus.
Answers
Ask natural-language questions and inspect the source excerpts behind every answer before acting on it.
Workflows
Move from scattered context to repeatable handoffs for reviews, investigations, quality checks, and technical decisions.
FAQ
Common questions
What is MAIC?
MAIC (Materials Artificial Intelligence Company) is an AI knowledge base for industrial teams. Upload project files — reports, results, notes, SOPs, protocols, papers, and operational records — and ask questions in plain language. Every answer cites the source documents it came from.
How does MAIC keep answers grounded?
MAIC retrieves the most relevant excerpts from what your team uploaded and answers only from that retrieved context, citing each source file. If the uploaded records don't contain the answer, MAIC says so instead of guessing. It never invents data.
What file types does MAIC support?
Text, Markdown, CSV, JSON, PDF, and instrument data exports. Files are uploaded into a project workspace, where they become one searchable corpus for the team.
Is my data used to train AI models?
No — MAIC does not use customer project content to train MAIC-owned models, and uploads stay scoped to your project workspace. Retrieved excerpts are sent to AI model providers only to generate your team's answers.
Who is MAIC for?
Industrial and technical teams whose decisions depend on files, notes, and records: mining, manufacturing, materials and batteries, and semiconductor/fab teams, along with research and laboratory groups working alongside them.
Join the beta program
We're onboarding early industrial and research teams now. Help us define how industrial teams work in the age of intelligence.
Get early access