Data Architecture & Integration
Connecting the systems of record an agent needs to act, without duplicating data no one trusts.
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The data foundation every agent and analytics program depends on.
Agents are only as good as the data and ontology beneath them. Photon builds the data architecture, integration layer, and ontology design that let agents reason over enterprise knowledge consistently — and that every PHTN.ai Solution Blueprint depends on.
Core Capabilities
Data Governance & Quality
Lineage, access controls, and quality rules that feed directly into PHTN.ai's runtime governance and audit trail.
Insights & Analytics
The analytics layer that turns governed data into decisions — dashboards and models alike.
Knowledge Grounding
Structuring enterprise knowledge so retrieval and reasoning stay accurate under production load.
Data as a product
Eight characteristics every dataset should meet before anyone downstream relies on it.
01
Discoverable
02
Understandable
03
Addressable
04
Secure
05
Interoperable
06
Composable
07
Trustworthy
08
Natively Accessible
Our target data ecosystem
Four architectural ideals, combined rather than chosen between.
Data Mesh
Decentralized data ownership — each domain owns and publishes its own data products.
Data as a Product
Treating each dataset as a well-defined, supported product, not a side effect of an application.
Data Fabric
Centralized governance and management stitched across distributed sources.
Self-service analytics
Teams discover and use data independently, inside the governance guardrails already in place.
Data governance — four core capabilities
01
Data Catalog
Knowledge of storage location and metadata, using lineage to understand data flows.
02
Data Quality
Visibility into whether the data fueling a decision is actually accurate.
03
Data Privacy
Business teams understand the risks and responsibilities tied to the data they request.
04
Data Democratization
Seamless, governed self-service access once a foundation of trusted data exists.
Measured against five observability pillars:
Lineage, Volume, Freshness, Quality, Schema
Our data quality discipline
Nine practices Photon applies on every data engagement, not just the ones with a governance mandate.
01
Define "Good"
Work with the business to set acceptable quality levels and baseline metrics before touching a pipeline.
02
Profile Early, Profile Often
Data profiling is the primary tool for measuring quality — run continuously, not once at kickoff.
03
Assign Ownership
Named roles responsible for data quality end to end, from leadership to operational staff.
04
Train the Organization
Teams understand their data assets, how to handle them, and the downstream impact of getting it wrong.
05
Root-Cause, Don't Patch
Trace quality errors to their source and fix there — not downstream where the symptom appeared.
06
Automate the Rest
Profiling, anomaly detection, and cleansing automated via an industry-standard data quality platform.
The medallion
Raw data refined through three layers before it reaches a dashboard or a model.
gold
Curated Zone
Business rules applied and processes modeled — relational, third-normal-form data ready for cross-domain joins.
silver
Cleansed Zone
Business rules applied and processes modeled — relational, third-normal-form data ready for cross-domain joins.
bronze
Raw zone
Lowest-grain data, organized by business concept — provider, patient, claim, transaction — as it lands, unmodified.
Evidence
A multi-state veterinary hospital network
25–40% less manual reporting
Cloud-based data lake and warehouse supporting 1,000+ locations, enabling reporting across 100+ KPIs in two priority tiers.
A multi-state veterinary hospital network
30-50%
improved data trust
30+ data classifications implemented via a cloud governance platform, with a one-month parallel run before legacy reporting cutover.
A not-for-profit regional health system
20–30% faster time to insight
Unified enterprise data architecture across 4+ domains (consumer, provider, product, operational), phased across assessment, design, deployment, and monitoring.
A global biopharmaceutical company
30–50% reduced API effort
API accelerator and agentic factory framework for core ERP integration — reusable middleware patterns, automated test generation, and validation.
2x–3x first-party data
A persistent consumer identity and digital twin connecting diagnostics, loyalty, and commerce — projected +5–10% eCommerce conversion uplift.
A global asset management and brokerage firm
30–50% less manual verification
Centralized data authorization and policy management, decoupling policy decisions from individual applications with full audit and logging.
