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ConductColony Intelligence

The first colony platform built on real statistical ML.

Anomaly detection, yield forecasting, and an LLM assistant that runs on your colony's own data. No rule-based alerts dressed up as AI.

Intelligence Layer
real-time · audit-trailed
Animalsn=247Littersn=89Genotypesn=512PedigreeF=0.06Per-diem$/cage/dχ²Goodness-of-fitFInbreedingGBMYield boostLLMLinnaeusAnomaly flaggedPair recommendedCost forecastPlain-English answerYour colonyStatistical engineInsights

Four capabilities, one platform

Each capability surfaces inside the modules you already use. Animals, breedings, litters, and dashboard. No separate app, no extra logins.

Litter L-2026-044 · Anomaly
JO_CatSperD · χ²(2) = 6.84
Genotype distribution
ExpectedObservedFlag
WT/WTWT/KO1WT/KO2KO1/KO1KO1/KO2KO2/KO2WT/MUT

⚠ Possible embryonic lethality

KO1/KO1 observed 0/12, expected 3.0. p = 0.042 · BF = 8.2

χ²

6.84

Capability 01

Anomaly Detector

χ² and Bayesian flagging on every litter. Spot embryonic lethality, sex-linked transmission, and CRISPR mosaicism the moment a litter genotypes out of expectation.

Read more
Cross Search · Goal: Cre+;flox/flox
JO_CatSperD · 12 mice by 2026-07-01

Colony graph · 247 candidate pairs

Top 3 plans

#1 M-187 × F-204

92
ETA 2026-06-2214.2 pups

#2 M-211 × F-198

84
ETA 2026-06-2911.6 pups

#3 M-156 × F-219

71
ETA 2026-07-049.8 pups

Capability 02

Cross Recommender

Tell us your goal genotype and target date. The recommender searches your colony for the best ranked pair plans, scored on yield, inbreeding, time-to-target, and cost.

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Forecast · 6mo · P-19-0042
80 Cre+ pups · target 2026-09-30
Projected cage demand
BreedingLittersHolding
IACUC peak goal · 28Rack capacity · 32Wk 1Wk 7Wk 13Wk 20Wk 26

Breeders needed

6

Peak cages

24 /32

Per-diem

$3,400

Capability 03

Production Planner

Reverse-plan from an IACUC target to a breeder count, projected cage demand, and per-diem cost. Aware of your purchased rack capacity and protocol-approved animal limits.

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Linnaeus · Read-only
schema: prisma · 14 tables
JDYou

Which breeding pairs have not produced a litter in the last 60 days, sorted by strain rarity?

Generated SQL · review before runSELECT only
SELECT bp.id, bp.maleId, bp.femaleId,
s.name AS strain,
s.animals_count, MAX(l.birthDate) AS last_litter
FROM breeding_pairs bp
JOIN strains s ON s.id = bp.strainId
LEFT JOIN litters l ON l.breedingPairId = bp.id
WHERE bp.status = 'active'
GROUP BY bp.id
HAVING last_litter IS NULL
OR last_litter < NOW() - INTERVAL '60 days'
ORDER BY s.animals_count ASC

3 results · click any row to open pair

PairStrainRarityLast litter
B-32JO_CatSperD4 animalsnever
B-19JO_Efcab97 animals2026-02-14
B-44JO_WT18 animals2026-02-28

Capability 04

Linnaeus Assistant

Ask your colony anything in plain English. Linnaeus translates the question into SQL, shows you the query for review, and returns the answer in seconds.

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Why this is different

Most colony software vendors describe rule-based alerts as AI. ConductColony Intelligence uses real statistical methods, transparent math, and a real LLM with auditable output.

Statistical method

χ² goodness-of-fit, Bayesian posterior, Cox proportional hazards, gradient-boosted regression.

Trained on your data

Models use your colony's own breeding history. No third-party training corpus, no shared models across organizations.

Math you can audit

Every recommendation comes with the underlying numbers. p-values, confidence intervals, and full computation traces.

LLM with guardrails

Linnaeus runs against a pinned schema with a human-readable SQL preview before execution.

All Intelligence features included on Pro

$99 per month. No upsell tier, no metered usage, no per-seat fee. Upgrade when your colony outgrows the Lab plan.

Bring statistical rigor to your breeding decisions

Start free, upgrade to Pro when you want Intelligence on your colony.