Reference Architecture

ContextTalk Reference Architecture

Unify Your Enterprise Context. Power AI with Trusted, Actionable Intelligence.

Enterprise & Industrial Integrations

Connect your systems, data and domain applications,

Manufacturing & Supply Chain

ERP, MES, QMS, WMS, TMS, SCP

Healthcare & Life Sciences

EHR/EMR, PACS, HIS

IT & Operations

OSS, BSS, Telecom CRM

Asset & Field Operations

EAM, SCADA, EMS, DERMS

Energy & Utilities

APM, ETRM, Grid Systems

Banking & Financial Services

Core Banking, Wealth Mgmt, Risk & Compliance

Industrial & Energy Assets

DCS, Geoscience & Reservoir Modeling, EAM

Retail & Consumer

POS, TPM, PIM, OMS, Loyalty & Marketing

Clean Energy & Grid

VPP, Grid Edge, Demand Response

Laboratory & Quality

LIMS, eQMS

Business Value

Higher efficiency | Lower risk | Faster time to value.

ContextTalk

From siloed data to trusted, business-ready intelligence

1

Business Applications & Use Cases

Industry and business outcomes across the value chain.

Factory Optimization
Field & Quality
Logistics & Transportation
Supply Chain Resilience
Virtual Power Plant
Network & IT Operations
Asset Lifecycle
Risk & Compliance
Healthcare & Revenue
Geospatial & Land Use
Energy & Grid Balancing
Financial & Liquidity
Field Operations
Carbon & Sustainability
Retail & Customer
2

Business Language, Classification & Semantics

Understand your business context in a common language.

Business Language

Ontology & glossary

Business Classification

Domain, process, asset, etc.

Business Semantics

Relationship & meaning

3

Enterprise Knowledge Layer

Connect, enrich and contextualize your enterprise knowledge.

Structured Data

Databases, data lakes

Unstructured Data

Documents, email, content

Graph Knowledge

Relationship & ontology

Real-Time Context

Streaming events

4

Model, Data and Memory

The intelligence layer that powers trusted, contextual AI.

Foundation & Domain Models

Bedrock, OpenAI, Claude, etc.

Enterprise Data

Warehouse, vector, graph

Memory

Session & long-term

Model Orchestration & Reasoning

Planning, routing, validation

Trusted

Secure | Compliant | Explainable

Scalable

Multi-industry | Hybrid cloud | Open ecosystem

TrustOps

Keep AI secure, trusted and performing,

Semantic Context Layer

  • Domain ontologies
  • Entity resolution
  • Context enrichment

Policy & Security Controls

  • Zero Trust
  • Access control
  • Data privacy & residency
  • Compliance (HIPAA, SOC, GDPR, etc.)

Monitoring & Quality

  • Data & model quality
  • Drift detection
  • Performance monitoring
  • Audit & traceability

AgentOps & Oversight

  • Agent lifecycle management
  • Versioning & promotion
  • Risk & safety checks
  • Human in the loop

AI at Work

From insights to autonomous action.