feeldkit.dev
FeeldKitThe field intelligence layer for modern apps.
Standardize countries, industries, jobs, company bands, technologies, intent topics, events, and other recurring fields through one reusable API and TypeScript SDK.
40+
Fields
30+
Routes
10+
Packs
How it works
One reusable field intelligence layer from input chaos to production-quality data.
Ingest messy values
Collect raw values from forms, imports, enrichment tools, and data syncs.
Normalize with field intelligence
Map aliases, apply crosswalks, and classify values with confidence metadata.
Ship clean outputs
Use canonical values across APIs, automations, and analytics pipelines.
Built for real production workflows
FeeldKit is designed for teams that care about data quality without adding custom field logic in every service.
RevOps & CRM hygiene
Standardize country, industry, and title data before records land in Salesforce or HubSpot so automation is reliable.
ETL and warehouse quality
Normalize high-volume batches during ingestion to avoid fragmented dimensions and downstream reporting drift.
Product onboarding and forms
Parse and validate user-entered values in real time to reduce bad inputs and improve activation funnels.
Build cleaner pipelines with one field layer
Replace duplicated field parsing logic across forms, imports, ETL jobs, and enrichment flows with one consistent API.
Normalize
Messy inputs become canonical values with confidence and metadata.
Validate + Parse
Field-specific validation rules and parser interfaces stay reusable.
Crosswalk
Map values across standards and practical overlays without duplicate logic.
Composable Packs
Ship reusable domain packs for geo, jobs, industry, and custom practical taxonomies.
Developer-first
Typed SDK, predictable responses, and canonical metadata for trustworthy automation.
Ops-friendly
Review queues and alias enrichment workflows keep quality improving over time.
Production-ready
Pack-based architecture keeps normalization logic reusable between teams and products.
Ready to ship cleaner data?