Cortex
CortexThe system of record for AI work

Own the work, quality, and model.

Everyday AI work becomes datasets, release gates, and private models that stay inside your company. Cost per outcome falls as capability compounds on your own work.

Operating review

Turn every AI outcome into a better next run.

One operating loop: see what happened, decide what to change, and reuse proven work so every cycle starts smarter.

Cortex · Scorecards

Work review

Resolve customer questions faster

Ready to scale

AI cost

$12.4k−8%

Resolved requests

4,820+14%

Cost / resolution

$2.57−19%

Quality checked

186+31
Reuse readiness18 of 25 quality checks passed72%
7 edge cases need reviewReview 186 conversations
Resolved without handoffLast 7 days+14%
OwnersModelsSource systemsUpdated 2m ago
See the work

Tie every outcome to its owners, model cost, source evidence, and quality review so teams can defend what works and fix what does not.

Trace work and spend
Datasets & evals

Own the quality bar from everyday work.

Every prompt, decision, and correction becomes proprietary training data and release gates. Differentiated intelligence competitors cannot rent, IP that never leaves your walls.

  • Gold sets from real Work Units
  • Org-specific benchmarks, not public boards
  • Continuously refreshed, owned outright
Atlas · Owned intelligence
PromptsDecisionsEdits & acceptsContextOrg memory
Owned intelligence

Datasets, organizational memory, and private models your company owns.

Model Tuning

Beat the bar with a model you own.

Repeated workflows graduate into private models trained on your own work. They run in your VPC, cut cost per outcome versus API rates, and improve with your team's usage.

  • Trains until it beats your bar
  • Weights in your VPC / on-prem
  • Lower cost per outcome on qualified work
Foundry · Model portfolio
Out-of-the-box LLMYour private model
Cost per taskAPI rates, every callUp to 30-50× lower
Trained onThe public internetYour company's work
Runs inThe provider's cloudYour VPC
Improves withEveryone's usageYour team's usage
Work & attribution

The board question gets a factual answer.

Every AI dollar is mapped to the work it drove, so leadership gets a factual account of adoption, return, and cost per outcome.

  • Every dollar mapped to a Work Unit
  • Adoption and return for leadership
  • Cost per outcome, not just total spend
Cortex

Leadership readout

Total AI spend$0
Share attributed to work0%
Top initiativesSpendReturn
1Claims automation$118,400→31,200 claims processed
2Support triage$86,200→Backlog cleared to same-day
3Code migration$64,900→2,340 modules converted
4Contract review$41,300→1,180 contracts reviewed

Ready to build sovereign intelligence?

Gain visibility and control. Build better, cheaper, faster AI that you own.