[ by industry ]
Where Ana Is Already Deployed
/ industries: 6/ one ontology/ one deployment model
/ no / industry / covered
01
Financial Services Eliminate duplicate data purchases and deliver real-time portfolio insights.
/ data discovery/ real-time analytics/ live dashboards
[ view → ]
02
Manufacturing Predictive maintenance, quality control, efficiency.
/ predictive maintenance/ automated reports/ live dashboards
[ view → ]
03
Retail & E-commerce Customer loyalty, inventory optimization, personalization.
/ inventory intelligence/ semantic layer/ live dashboards
[ view → ]
04
Healthcare Purpose-built AI agents for claims processing, eligibility verification, and healthcare analytics.
/ population health/ revenue cycle/ security
[ view → ]
05
Insurance Claims optimization, risk assessment, automation.
/ claims processing/ semantic layer/ live dashboards
[ view → ]
06
Media & Entertainment Content performance, audience engagement, optimization.
/ content analytics/ integrations/ live dashboards
[ view → ]
[ underneath all of them ]
The Same Spine Under Every Sector
TextQL is not vertical software. What makes it fit an industry is the ontology it is pointed at.
01
Ontology
The institutional brain: metrics, definitions and access rules in one versioned model, so an answer means the same thing to every team.
02
Ana
The analyst that answers the question — across the warehouse, the vendor feeds and the files nobody has opened in a year.
03
Data Apps
Internal tools on top of the ontology: the dashboards, intake portals and review queues a sector actually works in.
Not seeing your sector? The industry pages are worked examples, not the limit — the same model is where a new one starts.
[ try textql ]