Water intelligence · multi-agent AI

The water expert that shows its work.

A vertical panel of expert AI agents for water and aquaculture — routed, argued in parallel, and citation-verified before a word reaches you.

A panel of expert agents that would rather escalate than invent. When the stakes are high, a human expert signs off — by design, not as a fallback.

system operationaldomains8verticals2DOI-strict
Virtual round table · contract-net● deliberating
DiseaseWater qualityMicrobiologySND engineNutritionCaseHIGH-STAKESGROUNDING VERIFIERCrossref · DataCiteDELIVER→ HUMAN SIGN-OFF
■ AI agents■ SND / science■ human gate

Below — the register flips to specimen paper. This is where it proves.

The grounding verifier

Every load-bearing claim resolves to a real, published citation — or it doesn't ship.

The dark is where the agents argue. The page brightens to paper the instant a claim has to stand on evidence: each one is checked against Crossref / DataCite, and anything unresolved is escalated, never guessed.

Microbiology · SNDAquaculture · liveIllustrative — how grounding works

“Nitrite accumulation points to stalled second-stage nitrification, not an oxygen deficit.”

Drawn by the microbiology specialist, then grounded against the literature:

10.1111/jfd.13211Verified · resolves at publisher

What the gate does

Claim → citation → verdict

1Extract every factual claim from the panel’s synthesis.
2Resolve each DOI against Crossref & DataCite — no live link, no claim.
3Score evidence strength; flag anything thin or contradicted.
4Escalate high-stakes or unresolved calls to a human expert for sign-off — the amber path.

Proof as data-viz

A case card is a readout — not a testimonial.

What changed, how strong the evidence was, and who signed it. This is the shape of that proof; the first anonymized cases publish soon.

/textile-effluent-compliance-screen-rejecten

Textile effluent screen: a 7.2× COD exceedance and a REJECT call, human-gated (illustrative)

A textile dyehouse asked whether its trade effluent clears Singapore PUB limits and whether to green-light a go-ahead. AquaMind V2 flagged three confirmed exceedances — COD at 7.2× the limit, TSS over 3×, and out-of-range pH — plus a wide block of undeclared metals, and returned a NON-COMPLIANT posture with a REJECT recommendation, mandatorily held for human sign-off as a food-safety/compliance call. Illustrative compliance screen on a fictional facility, not a legal determination.

/ras-discharge-pub-compliance-screen-proceeden

Indoor RAS discharge screen: seven parameters, a PROCEED call, human-gated (illustrative)

A 600 t/yr indoor tilapia RAS asked a two-part question — does the effluent meet Singapore PUB Trade Effluent limits, and does the ROI support a go-ahead? AquaMind V2 screened all seven declared parameters as passing, computed the investment economics, and returned a PROCEED recommendation — flagged tier-5 and held for mandatory human sign-off before any business decision. Illustrative compliance screen on a fictional facility, not a legal determination.

/greenfield-tilapia-ras-design-ras-mbbren

Greenfield tilapia RAS: a sized, costed RAS + MBBR design in one pass (illustrative)

A greenfield 55 t/yr indoor tilapia brief — 550 m³, 110 kg/day feed, grid power, municipal discharge — went in; a route recommendation, unit sizing, a costed bill of materials and internal consistency checks came out. AquaMind V2 selected RAS + MBBR, sized the biofilter, aeration, pump and tankage from the computed nitrogen and oxygen loads, and self-verified that every sized unit maps to a BOM line. Illustrative sample on a fictional facility.

What makes it different

A composition with a point of view — not three identical cards.

Core IP · SND engine

Microbiology is the moat — WaterDoctor’s SND functional microbial engine, a capability no horizontal chatbot has.

Signal · AI

A panel of discipline specialists, deliberating in parallel around a Virtual Round Table.

Evidence

DOI-strict grounding — every load-bearing claim checked against real literature.

The human

High-stakes calls route to a human expert for sign-off. Skip-to-human is a feature.

Two verticals · one engine

Built for water — aquaculture and industrial water, both live.

The same pipeline runs any water discipline. Aquaculture diagnosis is live to real operators; the industrial-water vertical is live too, with compliance kept human-in-the-loop.

Aquaculture

Live

RAS, high-density and green-seafood shrimp & fish — water chemistry, disease, microbiology, nutrition and operations, in production today.

Industrial water

Live

Effluent diagnosis, treatment design and Singapore PUB / WEMP compliance for industrial dischargers — live today. Compliance runs with a human in the loop; treatment design is directional, not a final quotation.

Modules

DiagnoseLiveDesignIn validationResearchIn validationComplyIn validationOptimizeIn validation

Built bilingual · EN / 中文

One product, two languages — both set with intent.

Not English-premium and Chinese-fallback. The display serif is matched by a Noto Serif SC face, so a Chinese headline reads as journal-grade too. Reports and SOPs transcreate on demand, with a fidelity guard that keeps DOIs, numbers and doses intact.

EN · English

A panel of experts that would rather escalate than invent.

Every high-stakes call is grounded in the literature and signed by a human expert.

expert-signed
ZH · 中文

宁可上报专家,也绝不臆造答案的智能体专家团。

每一个高风险判断都以文献为依据,并由人类专家签署确认。

专家签署
Dr Wang Chuansheng — Founder
NUS · PhD

Founder

Dr Wang Chuansheng — Founder · NUS PhD, Environmental Engineering

Aquaculture’s hardest problems are microbiology problems.

Dr Wang Chuansheng founded WaterDoctor to bring water-quality and microbial expertise to aquaculture operators. NUS PhD in Environmental Engineering, MSc from Peking University, and the inventor of the SND functional microbial engine that anchors WaterDoctor’s products — recognized with the IWA Best PhD Thesis Award 2024. AquaMind V2 packages that work into a system that reads your case and answers like a senior aquaculturist would.

Get started

Bring a real case. Get a grounded, cited answer.