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Governed answers for reef restoration operations

AI CoralQuery

Ask the operations question. Keep your records in control.

AI CoralQuery gives restoration teams plain-language answers from the operational database they already use. It helps nursery, programme, field, development and finance teams get to an answer in seconds—without writing a query or waiting for a developer.

GOVERNED ANSWERING
NATURAL-LANGUAGE QUESTIONWhich nursery structures are overdue for maintenance?
ORGANISATION TERMS→SAFE PLAN→READ-ONLY SQL
Nursery and inventoryField and outplantingGrants and activity
ONE CHECKABLE ANSWERQuery logic · result context · audit record
Read-only by constructionOrganisation-learnedAnswers you can checkRecords stay in place

The difference

Operational answers without handing over control of the database.

AI CoralQuery is a multi-layer AI and retrieval architecture—not an LLM wrapped around a database. It combines retrieval, contextual reasoning, query planning and data-layer techniques to produce dependable answers for the work of restoration.

01

Read-only by construction

AI CoralQuery can enquire across the operational database but cannot add, change or delete a record.

02

Organisation-learned

Reviewed definitions teach the system what terms such as active, outplanted and loss mean in the organisation’s own data.

03

Answers you can check

Each answer can show the query logic and result context so a knowledgeable reviewer can see how it was reached.

04

Sensitive data controlled

Sensitive columns can be withheld so they are not used in answers. A record can be kept of who asked what.

Product demonstration

Watch AI CoralQuery answer operational questions.

The demonstration shows how a plain-language question becomes a read-only database enquiry and a result the team can inspect and use.

AI CORALQUERY · RESTORATION OPERATIONSDownload video ↓

Questions in the team’s own words

From live inventory to grant reporting.

  1. 01

    How many corals do we have in each nursery right now, by species?

  2. 02

    Which batches are forecast to be outplanted next month?

  3. 03

    How many fragments did we transfer out of a given nursery this quarter?

  4. 04

    What were our losses last month, and for what reasons?

  5. 05

    How many volunteer dive hours have we logged against a given grant?

  6. 06

    Which structures are overdue for maintenance?

A multi-layer system

From question to usable operational answer.

The model helps plan the question; controlled execution governs the database enquiry; and the result can be checked by the people who know the work.

  1. 01
    Ground

    Profile the available schemas, relationships, terminology and relevant operational context.

  2. 02
    Plan

    Turn a plain-language question into a controlled, database-aware enquiry plan.

  3. 03
    Execute

    Validate and run read-only SQL against the existing operational database.

  4. 04
    Check

    Apply result checks and make the query logic available for review.

  5. 05
    Answer

    Return a figure or table that helps the team act, report or investigate.

Built for the people running the work

Answers for each part of the restoration operation.

Programme and nursery managers

See live stock, transfers and outplanting forecasts without waiting for a custom report.

Science and field teams

Explore batches, genotypes, health, treatment and maintenance history in the language of the work.

Operations, development and finance

Review dive activity, vessel and staff hours, and grant-related activity from the same operational record.

A governed path to operational answers

Bring us the question your team currently has to ask a developer or wait for in a report.

tom@alchemyloop.ai