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About Us

Senior practitioners who ship production systems.

Founded by engineers who have built enterprise-scale AI and data platforms, we help organizations turn complex data into practical solutions—then hand them back to your team.

0+

Years combined experience

2

PhDs in physics

17.5M+

Daily listings processed

1M+

Messages classified

Leadership

Meet the engineers.

Data engineers and ML practitioners who have built systems at scale for enterprise organizations.

Solomon Owerre

Solomon Owerre, Ph.D.

Founding ML Engineer

Former Director of Data Science at Loblaw and Sr. ML Engineer at Wiser Solutions. Delivered fraud-detection work that generated $8M in annual savings and built multilingual product-classification systems processing 17.5M+ listings daily.

Joachim Nsofini

Joachim Nsofini, Ph.D.

Founding Data Scientist

Senior Data Scientist at FCC / FAC Canada. Built a relationship-manager text classifier with 95% accuracy across 1M+ messages, and analyzed 1M+ relief-program records to support funding-integrity decisions.

How we work

A transparent engagement model.

Each step has a written deliverable and a stop point. If the next phase isn't the right move, we say so.

Step 01

Discover

Two weeks. We sit with your data, team, and KPIs. Output: a 1-page scope, a baseline, and a go/no-go recommendation.

Step 02

Design

Architecture, data contracts, evaluation plan, and rollout strategy — reviewed with your engineers before any code lands.

Step 03

Build

Fixed-fee delivery in your repo and your CI. Weekly demos. The work merges as it's reviewed — no big-bang handoff.

Step 04

Optimize

Post-launch tuning, monitoring, and a runbook. Then we step out — or stay on retainer if that's what the system needs.

Principles

What we won't compromise on.

Smallest change first

We propose the narrowest scope that moves the metric. Bigger engagements happen after the first one earns the next.

Reviewable artifacts

Pull requests, design docs, eval reports. Nothing important lives in a private notebook.

No lock-in

We use the stack you already pay for. When we leave, your team can extend the system without us.

Technology

Tools we work with daily.

Python Spark dbt Airflow Snowflake Databricks AWS Azure GCP Docker Kubernetes Terraform OpenAI Anthropic MLflow Power BI

Ready to scope the first phase?

A 30-minute call is usually enough to know whether we're a fit. No sales pitch — just a technical conversation.