AI employees that adapt to your business.
Flexible data model that evolves with your strategy—no data engineering required.
No more 6-month CRM implementation projects. No more paying consultants to add a dropdown. Your system adapts as fast as your strategy does.
P
Properties
Dimensions
Static attributes like industry, stage, geography, team size
industry: "fintech"
stage: "Series B"
hq: "San Francisco"
M
Metrics
Time-Series
Auto-stacking by timestamp. No manual version management.
ARR: $12M (Q4 '24)
ARR: $15M (Q1 '25)
burn_rate: $800K/mo
N
Narratives
Context & Text
Unstructured context that AI can understand and search.
"Strong unit economics, expanding into enterprise. CEO ex-Stripe."
Automatic Adaptation: Last quarter: EBITDA. This quarter: Rule of 40. Next quarter: who knows. Linga's ready either way.
How it works
Linga's flexible data model uses Properties, Metrics, and Narratives (PMN) to store your business information. Properties are static attributes like industry or stage. Metrics are time-series data that stack automatically. Narratives are unstructured context that AI can understand.
When your strategy changes—new metrics to track, different KPIs to report—Linga adapts automatically. No schema migrations. No consultant hours. No downtime. The system evolves as fast as your business does.
AI employees read and write to this model naturally. They understand what Properties, Metrics, and Narratives mean—so they can work with your data without rigid field definitions.