Lab Services

Our platform, deployed in your environment.

A focused set of applied AI engagements — built on the same stack we run internally. Tell us the problem and we'll scope a solution.

What we do

A focused set of applied AI services.

We're not a full-service shop — and we won't pretend to be. These are the engagements where we ship the most leverage, because they sit on the same platform we run for ourselves.

Agent development & training

Custom agents — built, trained, and deployed on top of the same Cortex/Apex/Helix stack we run internally.

  • Domain-specific reasoning
  • Tool & MCP integration
  • Evaluation and continuous tuning

Machine learning for prediction & forecasting

Models that turn your historical data into forward-looking signal — built for the decisions that actually move your business.

  • Demand and pipeline forecasting
  • Risk and churn prediction
  • Production-ready deployment

Data analysis & research

Deep, structured analysis on your data — internal, third-party, or both — distilled into the answers leadership needs.

  • Custom analytical pipelines
  • Cross-source data joining
  • Decision-ready briefs

AI-powered market research

Apex-driven market and competitive research that synthesizes signal from across the web into actionable strategy.

  • Category and competitor mapping
  • ICP and segment analysis
  • Strategic recommendations

Landing pages for new market validation

Production-grade landing pages designed to test new positioning, audiences, or offers — instrumented and ready to learn from.

  • Positioning + copy + design
  • Built on our deployable stack
  • Analytics and conversion wiring

Bespoke AI learning

Academy-style curricula tailored to your team — from fluency for execs to hands-on training for operators and builders.

  • Custom learning paths
  • Live workshops and chat-with-experts
  • Outcome-tracked progress

Generative podcasts

Long-form, on-brand audio generated from your knowledge base — produced, edited, and ready to publish or distribute internally.

  • Topic and angle selection
  • Voice, tone, and brand match
  • Episode production at cadence