From Fragmented Footprints to Resolved Identities
Unify fragmented digital footprints across internal systems, public records, and third-party data — with self-healing pipelines that never break.
Adaptive Orchestration
Learns and connects new identity sources automatically as they appear.
Continuous Discovery
DeepSearch finds new data across web, enterprise, and classified systems.
Transparent Trust
Every action is logged, deterministic, and explainable — audit-ready from day one.
Accelerated Insight
Move from inquiry to intelligence in hours, not weeks of manual integration.
Identity data lives across dozens of disconnected systems that change without warning. Belvedere turns that chaos into continuous, compliant resolution.
Fragmented Data Sources
Identity data lives across dozens of disconnected systems — social media, public records, financial databases, and internal repositories — each with different schemas and access patterns.
Constant Schema Drift
Third-party APIs and data sources change without notice, breaking ingestion pipelines and creating gaps in identity resolution.
Compliance Requirements
Identity data carries strict regulatory requirements. Every transformation, enrichment, and correlation must be auditable and compliant.
People are at the center of the world’s activities — social media, public records, financial databases, enterprise systems. Understanding their behavior means stitching together fragmented digital footprints across all of them. But the systems they interact with change constantly, breaking ingestion pipelines and creating gaps faster than any team can manually fix.
Belvedere™ automates identity intelligence through agentic data orchestration. Its Knowledge Arm learns where identity data lives and how it evolves, while the Workflow Arm builds deterministic, self-healing pipelines that unify it across systems. Every transformation is logged, auditable, and compliant — no black boxes.
When sources drift or new feeds appear, Belvedere detects, repairs, and redeploys pipelines automatically. No manual schema mapping. No broken overnight jobs. Just reliable, compliant identity data at mission speed.
Identity Fusion in Action
See how Belvedere orchestrates identity data from ingestion through entity resolution to compliant delivery.
Social Records
Ingest social identity records from public and enterprise sources — names, aliases, and linked profiles.
Financial Records
Load financial identity records including account holders, transaction signers, and beneficial owners.
Classified Repository
Ingest classified identity records from restricted repositories — vetted profiles and watchlist entries.
Normalize schemas
Auto-detect each source's schema and map fields to a canonical identity model, flagging drift from previous runs.
Link identity graphs
Entity resolution links records across sources using probabilistic matching — building unified identity profiles with confidence scores.
Apply PII governance
Every linked profile passes PII governance controls — retention rules, access markings, and audit hashes applied per policy.
Link Identity Graphs
Resolve entities across 5 source systems using probabilistic matching on name, DOB, SSN-hash, and alias fields.
Entity resolution links records across all ingested sources using probabilistic matching across name, date of birth, SSN-hash, and alias fields. The engine builds identity graphs with confidence scores, then merges records above the 0.87 threshold into unified profiles. Each merged profile retains full provenance — every contributing source record is linked so analysts can trace any assertion back to its origin. The output is a deduplicated identity dataset ready for investigation, with match confidence and source coverage metadata attached to every profile.
Markdown supported. Type @ to link data sources. Ctrl+B bold. Ctrl+I italic.
How does identity resolution work here?
The pipeline uses probabilistic entity matching across name, DOB, SSN-hash, and alias fields. It builds identity graphs with confidence scores, then merges records above the 0.87 threshold.
What if a new source has different fields?
The Schema Agent auto-detects new fields, maps them to the canonical model, and updates the pipeline config — no manual intervention required.
Social Records
Financial Records
Classified Repository
Normalize schemas
Auto-detect each source's schema and map fields to a canonical identity model, flagging drift from previous runs.
Link identity graphs
Entity resolution links records across sources using probabilistic matching — building unified identity profiles with confidence scores.
Apply PII governance
Every linked profile passes PII governance controls — retention rules, access markings, and audit hashes applied per policy.
How does identity resolution work here?
The pipeline uses probabilistic entity matching across name, DOB, SSN-hash, and alias fields. It builds identity graphs with confidence scores, then merges records above the 0.87 threshold.
How It Works
From disconnected systems to continuous identity resolution
Identity data is scattered across dozens of systems with different schemas, access patterns, and compliance rules. Here’s how Belvedere turns that into a continuous, trustworthy resolution pipeline.
Step 01
Discover every identity source automatically
Belvedere’s Knowledge Arm scans your environment — social media APIs, public records databases, financial systems, enterprise repositories — and catalogs every identity-related data source. It maps schemas, relationships, and governance rules before a single record moves.
Sources cataloged • schemas mapped • governance rules captured
Step 02
Understand what each source actually means
Before resolution begins, Belvedere builds a living knowledge base that captures what every field means across every source. When “name” in one system is “full_name” in another and “display_name” in a third, all three definitions are captured and made explicit — so context persists even as sources change.
Living knowledge base • definitions reconciled • context preserved
Step 03
Resolve, merge, and score with confidence
The Workflow Arm generates deterministic, auditable pipeline code that ingests, transforms, and correlates identity data across all sources. Entity resolution runs with configurable confidence scoring — so your team knows exactly how reliable each match is. Every merge decision is logged and explainable.
Deterministic • confidence-scored • fully auditable
Step 04
Deploy to your stack — and let it self-heal
Pipelines deploy to your existing infrastructure — Snowflake, Databricks, Airflow, or air-gapped environments. When schemas drift or new feeds appear, Belvedere detects the change, updates the pipeline configuration, and redeploys automatically. No manual schema mapping. No broken overnight jobs.
Self-healing • platform-portable • zero downtime
Step 05
Deliver compliant, mission-ready identity data
Your pipelines deliver unified, resolved identity profiles with full lineage — ready for analysts, case management systems, ML models, and AI agents. Every transformation is audit-ready from day one. As your identity sources grow, Belvedere scales with compute, not headcount.
Compliant • audit-ready • scales with your mission
See Identity Resolution in Action
Request a demo focused on identity data fusion — see how Belvedere unifies fragmented footprints across systems in minutes.
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