We help build AI Company Brain.

Connect your data sources, validate your context ONCE, witness your agents performing better.

CONNECT YOUR DATABASES
CONNECT YOUR DATA SOURCES

What is a Company Brain?

Your company's living memory for AI: the governed context that turns tools and data into decisions people trust.

One memory

Schemas, lineage, catalog, and business rules stay linked, not scattered across tabs, docs, and tribal knowledge.

Governed by default

RBAC, drift alerts, and audit trails mean AI answers come with ownership and proof, not guesses from the open web.

Ready for every room

Finance, product, data, and agents share the same DAU, churn, and revenue numbers: certified once, trusted everywhere.

How Secure Context Graphs protect your Company Brain

Every table, metric, and policy on one patented Secure Context Graph, not a generic map. Agents read it before they answer, with lineage you can click and citations you can trust.

Now Chat with your Business, effortlessly

Grounded in your context, not random web guesses. Press Play for example prompts and answers.

Viewership Churn Ad revenue Programming

Ask in plain language. Get governed metrics with proof, never conflicting numbers from different tools.

Better Decisions, Consistent KPIs

Governed metrics that drive action.

DAU

Audience Truth

  • MAU / DAU consistency
  • Engagement by title & genre
  • Churn prediction signals

Monetization

  • ARPU & LTV alignment
  • Ad vs subscription yield
  • Revenue reconciliation

Simplified Workflow across Teams

From fragmented stack to trusted decisions in four moves.

01

Connect

Link tools you already run: ads, billing, analytics, warehouse.

PostHogGA4BillingAds
02

Standardize

Define core metrics once. They survive tool changes.

DAU= one formula
03

Govern context

RBAC + drift monitoring. The trusted layer agents use.

RBAC · Drift · Audit
04

Activate

Chat, decide, embed, with a single source of truth.

ChatDecideEmbed

Monetizable Impact

Benefits you can put in a business case.

Faster impact analysis

Half a day of Slack archaeology → 10-minute lineage query before every schema change.

~12 hrs saved / sprint
60%

Fewer escalations

On-call engineers resolve DAG failures with full stack context instead of tab-hopping.

MTTR under 2 hours
3 days

Onboarding vs 3 weeks

New hires query a living catalog on day one not tribal knowledge docs.

per new data engineer
1

Trusted revenue number

Canonical metrics end dashboard debates between finance, product, and BI.

certified · reconciled
<5 min

Time to first insight

Connect sources, sync metadata, ask your first grounded question same session.

self-host or demo
0

Data movement

Metadata-only crawls. Credentials and row data never leave your network.

VPC · on-prem ready
Typical ROI · platform team
12–18×

Platform cost recovered in the first quarter through reduced incident time, fewer rollback PRs, and analyst hours reclaimed from ad-hoc lineage requests.