The features on this page are available on Dedicated plans. They extend the core platform for organizations running catalogs at scale, with requirements around custom models, real-time predictions, human feedback loops, and bespoke integrations.Documentation Index
Fetch the complete documentation index at: https://docs.getclaro.ai/llms.txt
Use this file to discover all available pages before exploring further.
Taxonomy generation & dynamic ontology
Generate sophisticated multi-level taxonomies from your data and keep them evolving as your catalog grows.- Multi-level hierarchy — 3–8 levels deep based on data complexity, auto-detected.
- Semantic relationship mapping — relationships between nodes are explicit and queryable.
- Dynamic ontology evolution — as new data patterns emerge, Claro proposes taxonomy extensions for review.
- Cross-domain merging — consolidate taxonomies from multiple catalogs or data sources into a unified structure.
- Industry-standard templates — GS1, Google Product, UNSPSC as starting points.
- Validation — automated consistency checking flags contradictions, orphaned nodes, and coverage gaps.
Entity deduplication & resolution
Enterprise-grade entity matching that goes beyond string comparison.- Fuzzy string matching — configurable similarity thresholds per field.
- Phonetic matching — handles name variations and misspellings across locales.
- ML-powered semantic similarity — embedding-based matching for product names, descriptions, and addresses.
- Cross-field correlation — match entities across different attribute combinations, not just a single key.
- Probabilistic record linkage — scored match proposals with explicit confidence.
- Negative-example learning — rejected pairs are remembered and suppress similar proposals.
- Custom matching rules — domain-specific business logic (e.g. match on GTIN first, fall back to brand + MPN).
Near real-time predictions (< 200 ms)
Ultra-low-latency prediction endpoints for production environments where speed is critical.- Dedicated GPU clusters with model caching — no cold start.
- Edge deployment — geographic optimization for latency-sensitive use cases.
- Auto-scaling — matches request volume without provisioning.
- SLA guarantees — 99.9% uptime with real-time monitoring and alerting.
- Load balancing across multiple regions.
Human-in-the-loop feedback system
Systematic expert review that makes models continuously better over time.- Review interface — domain experts approve, correct, or flag AI outputs with an annotation tool.
- Confidence calibration — expert agreement is tracked and used to refine scoring algorithms.
- Automated retraining — daily (or configurable: hourly / weekly) model updates incorporating all accumulated feedback.
- Performance tracking — dashboards showing improvement over time per operation and per attribute.
- Multi-expert consensus — track agreement across reviewers for contested cases.
- A/B testing framework — compare model versions before promoting to production.
- Expert validation — optional gating of model updates behind expert sign-off before deployment.
Advanced API integration hub
Connect Claro to proprietary datasets and specialized external services.- Proprietary dataset access — direct connections to internal databases, data lakes, and enterprise systems.
- Domain-specific APIs — industry databases, patent systems, regulatory filings, ERP and PIM solutions.
- Auth management — OAuth, API keys, certificate-based, and custom schemes.
- Data transformation pipelines — ETL for complex format conversions before values land in the catalog.
- Intelligent caching — responses are cached to reduce cost and improve latency on repeated lookups.
- Rate-limit management — quota handling across multiple providers, with backoff and retry.
Custom analytics
A BI suite surfacing catalog health, operation performance, and team activity across the workspace.- Interactive dashboards — configurable per team and per catalog.
- Real-time monitoring of operation run metrics.
- Data quality trends over time.
- Credit consumption and efficiency breakdowns.
- Export to BigQuery or BI tools via Webhooks.
Self-hosting
Run Claro in your own infrastructure:- Kubernetes Helm chart — deploy to any cluster.
- Managed VPC — Claro sets up a dedicated environment in your cloud account.
- Air-gapped — fully isolated deployment with no external calls.
- On-premises — bare-metal or private cloud.