Bayesian AI — Solutions & Consulting
AI for real people—students, families, and enterprises. Built to update with evidence, show its confidence, and explain every step—so you can trust it and act.
Our mission
Put practical, trustworthy AI in everyone's hands
With clear interfaces, plain language, and fair pricing—so outcomes improve in classrooms, admissions decisions, portfolios, and data platforms.
Why "Bayesian"
Bayes' theorem in one line:
Updated belief = Prior × Evidence (likelihood), normalized.
In plain terms: start with what you know, weigh new evidence, and be honest about confidence. That's how our products think.
How that shapes our build philosophy
Better priors
Human-in-the-loop setup—goals, constraints, and domain rules—so models never start from zero.
Trustworthy evidence
Models use tools to verify facts (schemas, function signatures, policies, dates) before updating scores.
Updated score + confidence
Every recommendation includes a refreshed score and an uncertainty band.
Explainability and Governance
Explainability
Clear "reason codes" show the path from prior → evidence → decision.
Governance by default
Lineage, masking, and role-based access turn AI updates into auditable records.
What we're building (preview)
1
MathWhiz AI (Ontario Grades 4–12)
Learns from each step to reweight what you know and what you just showed. When confidence dips, it surfaces the right hint—grounded, not guessy.
2
CampusCompassAI (Canada)
Fit = your goals (prior) × real admissions signals (evidence). Shows reason codes and next steps so choices stay transparent.
Financial & Enterprise Solutions
01
PortfolioAdvisorAI / Micro-ETF Analyzer
Starts with durable priors, then reweights on fresh data and news. Outputs conviction + uncertainty with plain-English rationale.
02
BayesLakeShift / BayesDeltaBridge (Enterprise)
Risk and effort estimates update as lineage, PII, and policy checks land. You see the "why" behind each migration decision—auditable and safe.
Product principles
Accessible by design
Clear copy, mobile-first flows, inclusive defaults.
Trustworthy by default
Human-in-the-loop, bias checks, and guardrails.
Grounded and governed
Verified data, audit trails, and security built in.
Outcome-first
We measure understanding, fit, performance, and cost—not vanity metrics.
Development status
We're in active development and testing.
We're validating features with students, families, and data teams to ship what truly moves outcomes.
Trustworthy AI for everyone
Clear. Confident. Explainable.
Join us in building AI that updates with evidence, shows its work, and earns your trust—one decision at a time.