Senior data & AI consultancy · Toronto + remote

Data infrastructure your CFO can trust.

We build governed semantic layers, migrate warehouses without downtime, and ship AI that doesn't hallucinate metrics — for teams from 5-person startups to enterprises like Aviva and Cadillac Fairview.

Book a Strategy Call →Free: Metric Drift Audit

No sales pitch · 30 minutes · scoped recommendations on dbt MetricFlow vs Cube, warehouse cost cuts, or AI rollout

Companies our team has delivered for

Selected Work

What we've actually built

Real engagements. Real stacks. We name names where the client has agreed to be cited; otherwise we keep it honest with anonymized profiles.

Education · 1M+ members

National membership nonprofit

Challenge

Analytics scattered across BI workbooks, ad-hoc SQL, and prior-vendor reports. No canonical metric definitions; every team answered the same question differently.

Approach

Phase 1 (4 weeks): governed Snowflake + dbt + Hex stack. Modeled core entities (member, chapter, programs) once. Phase 2: synonym layer for self-serve analytics.

Outcome

Phase 1 onboarding complete. Modern analytics foundation live. Phase 2 metric semantic layer in scope.

SnowflakedbtHex

B2B SaaS · ~$50M ARR

Mid-market SaaS

Challenge

6 versions of "revenue" across Finance, Sales, RevOps, Marketing, and the CFO board pack. Two reconciliation meetings per week. AI chat pilot returning wrong numbers to executives.

Approach

Metric Drift Audit week 1. Canonical-definition workshop with Finance + Sales leads. MetricFlow rollout for the 12 top-traffic metrics. Synonym map plugged into the existing Slack bot and Snowflake Cortex.

Outcome

Time-to-answer for ad-hoc questions: 2 days → 20 minutes. Reconciliation meetings: 3/week → 0. Analyst onboarding: 6 weeks → under 2.

SnowflakeMetricFlowCortex

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