product capablities

Unlock Enterprise Intelligence with JIVA’s Capabilities

From semantic search to autonomous agents, JIVA equips your enterprise with the tools to transform data into action.

product capablities

Unlock Enterprise Intelligence with JIVA’s Capabilities

From semantic search to autonomous agents, JIVA equips your enterprise with the tools to transform data into action.

JIVA brings together AI-driven automation, knowledge graphs, and enterprise-grade search in a single platform. Our capabilities are designed to address today’s enterprise challenges: fragmented data, costly migrations, and lack of trust in AI. The platform is composable by design, allowing different microservices to be swapped or configured to meet the unique requirements of each client. Each capability is built to integrate seamlessly with your existing stack and scale with your business needs.

JIVA brings together AI-driven automation, knowledge graphs, and enterprise-grade search in a single platform. Our capabilities are designed to address today’s enterprise challenges: fragmented data, costly migrations, and lack of trust in AI. The platform is composable by design, allowing different microservices to be swapped or configured to meet the unique requirements of each client. Each capability is built to integrate seamlessly with your existing stack and scale with your business needs.

Core capabilities

Core Capabilities

Core capabilities

Core Capabilities

Enterprise AI Search

Semantic and contextual search across all enterprise data — structured systems (ERPs, CRMs, databases, data warehouses) and unstructured content (documents, spreadsheets, emails, reports). JIVA retrieves precise answers instantly, reducing search effort by up to 70%.

Example: A merchandiser, claims officer, or supply chain analyst pulls all relevant documents, reports, and system records using a single natural-language query.

Enterprise AI Search

Semantic and contextual search across all enterprise data — structured systems (ERPs, CRMs, databases, data warehouses) and unstructured content (documents, spreadsheets, emails, reports). JIVA retrieves precise answers instantly, reducing search effort by up to 70%.

Example: A merchandiser, claims officer, or supply chain analyst pulls all relevant documents, reports, and system records using a single natural-language query.

Autonomous Agents

Self-executing AI agents automate high-volume workflows across insurance, retail, and CPG. They handle tasks such as claims triage, policy intake, SKU reconciliations, supplier checks, and inventory updates. Powered by unified data and process graphs, they execute tasks end-to-end with full compliance. This reduces manual work by up to 80%.

Example: An autonomous agent extracts submission or SKU details, validates fields, enriches missing data, and routes the file automatically across retail, CPG, or insurance processes.

Autonomous Agents

Self-executing AI agents automate high-volume workflows across insurance, retail, and CPG. They handle tasks such as claims triage, policy intake, SKU reconciliations, supplier checks, and inventory updates. Powered by unified data and process graphs, they execute tasks end-to-end with full compliance. This reduces manual work by up to 80%.

Example: An autonomous agent extracts submission or SKU details, validates fields, enriches missing data, and routes the file automatically across retail, CPG, or insurance processes.

Customizable Agent

JIVA’s modular architecture integrates seamlessly with enterprise systems, APIs, and proprietary data sources. Using natural-language prompts, teams can build domain-specific agents that reflect their workflows, controls, and compliance requirements.

Example: A configurable enterprise agent framework supporting specialised use cases across claims, merchandising, finance, supply chain, underwriting, and operational processes.

Customizable Agent

JIVA’s modular architecture integrates seamlessly with enterprise systems, APIs, and proprietary data sources. Using natural-language prompts, teams can build domain-specific agents that reflect their workflows, controls, and compliance requirements.

Example: A configurable enterprise agent framework supporting specialised use cases across claims, merchandising, finance, supply chain, underwriting, and operational processes.

Medical Records

Policy Records

Transaction Logs

CRM Data

Billing & Payment Records

Claims History

KYC & Identity Data

Customer Profiles

Knowledge Base Links

Jira Agent

ETL Pipelines

Zendesk Agent

Finance Ops Agent

Case Intake Workflow

Audit & Compliance Workflow

Snowflake Agent

Medical Records

Policy Records

Transaction Logs

CRM Data

Billing & Payment Records

Claims History

KYC & Identity Data

Customer Profiles

Knowledge Base Links

Jira Agent

ETL Pipelines

Zendesk Agent

Finance Ops Agent

Case Intake Workflow

Audit & Compliance Workflow

Snowflake Agent

Medical Records

Policy Records

Transaction Logs

CRM Data

Billing & Payment Records

Claims History

KYC & Identity Data

Customer Profiles

Knowledge Base Links

Jira Agent

ETL Pipelines

Zendesk Agent

Finance Ops Agent

Case Intake Workflow

Audit & Compliance Workflow

Snowflake Agent

Medical Records

Policy Records

Transaction Logs

CRM Data

Billing & Payment Records

Claims History

KYC & Identity Data

Customer Profiles

Knowledge Base Links

Jira Agent

ETL Pipelines

Zendesk Agent

Finance Ops Agent

Case Intake Workflow

Audit & Compliance Workflow

Snowflake Agent

Dual Knowledge Graphs

A dual-graph design that maps both data entities and enterprise workflows. One graph captures relationships, hierarchies, and metadata, while the second captures processes, decisions, and domain logic. Together, they eliminate hallucinations, maintain context, and ensure full audibility.

Example: A workflow graph links orders, claims, approvals, and decisions, enabling accurate reasoning and transparent traceability.

Medical Records

Policy Records

Transaction Logs

CRM Data

Billing & Payment Records

Claims History

KYC & Identity Data

Customer Profiles

Knowledge Base Links

Jira Agent

ETL Pipelines

Zendesk Agent

Finance Ops Agent

Case Intake Workflow

Audit & Compliance Workflow

Snowflake Agent

Medical Records

Policy Records

Transaction Logs

CRM Data

Billing & Payment Records

Claims History

KYC & Identity Data

Customer Profiles

Knowledge Base Links

Jira Agent

ETL Pipelines

Zendesk Agent

Finance Ops Agent

Case Intake Workflow

Audit & Compliance Workflow

Snowflake Agent

Dual Knowledge Graphs

A dual-graph design that maps both data entities and enterprise workflows. One graph captures relationships, hierarchies, and metadata, while the second captures processes, decisions, and domain logic. Together, they eliminate hallucinations, maintain context, and ensure full audibility.

Example: A workflow graph links orders, claims, approvals, and decisions, enabling accurate reasoning and transparent traceability.

composable architecture

Works across AWS, Azure, GCP, Snowflake, Databricks — and with any LLM. Avoids vendor lock-in and maximizes flexibility.

Example: A retail chain uses Azure for compute, Snowflake for data, and Claude for LLM — all orchestrated by JIVA.

composable architecture

Works across AWS, Azure, GCP, Snowflake, Databricks — and with any LLM. Avoids vendor lock-in and maximizes flexibility.

Example: A retail chain uses Azure for compute, Snowflake for data, and Claude for LLM — all orchestrated by JIVA.

Existing Enterprise Structure

Core Systems

Data Warehouse

Document Storage

ERP

CRM

Media

HR

Existing Enterprise Structure

Core Systems

Data Warehouse

Document Storage

ERP

CRM

Media

HR

No Lift-and-Shift Deployment

JIVA connects to existing source systems and metadata as-is, without migrating, rewriting, or moving data. This speeds up time-to-value, reduces cost, and avoids operational disruption while keeping data securely inside the client’s cloud environment.

Example: An insurer or retailer deploys JIVA directly on legacy systems without moving historical records.

Existing Enterprise Structure

Core Systems

Data Warehouse

Document Storage

ERP

CRM

Media

HR

No Lift-and-Shift Deployment

JIVA connects to existing source systems and metadata as-is, without migrating, rewriting, or moving data. This speeds up time-to-value, reduces cost, and avoids operational disruption while keeping data securely inside the client’s cloud environment.

Example: An insurer or retailer deploys JIVA directly on legacy systems without moving historical records.

How it all fits together into your enterprise workspace

A composable path from discovery to outcomes powered by JIVA’s unified platform.

UNIQUE PROPOSITION

How it all fits together into your enterprise workspace

A composable path from discovery to outcomes powered by JIVA’s unified platform.

UNIQUE PROPOSITION

Impact

Industry Use Cases with Measurable ROI

Impact

Industry Use Cases with Measurable ROI

FAQ

Frequently Asked Questions

FAQ

Frequently Asked Questions

Why does JIVA use a Unified Data Fabric instead of a traditional data pipeline?

Why does JIVA use a Unified Data Fabric instead of a traditional data pipeline?

How does JIVA’s dual knowledge graph improve context, accuracy, and trust?

How does JIVA’s dual knowledge graph improve context, accuracy, and trust?

Does JIVA require data migration into a new platform or lake?

Does JIVA require data migration into a new platform or lake?

How does JIVA handle enterprise security and access controls?

How does JIVA handle enterprise security and access controls?

Can we build our own custom workflows and automations on JIVA?

Can we build our own custom workflows and automations on JIVA?

How does JIVA connect to our core systems and microservices?

How does JIVA connect to our core systems and microservices?

What is JIVA’s pricing model?

What is JIVA’s pricing model?

Why does JIVA use a Unified Data Fabric instead of a traditional data pipeline?

How does JIVA’s dual knowledge graph improve context, accuracy, and trust?

Does JIVA require data migration into a new platform or lake?

How does JIVA handle enterprise security and access controls?

Can we build our own custom workflows and automations on JIVA?

How does JIVA connect to our core systems and microservices?

What is JIVA’s pricing model?

Impact

See JIVA in Action for Your Industry

Simplifying enterprise data challenges to deliver faster, smarter outcomes.

Impact

See JIVA in Action for Your Industry

Simplifying enterprise data challenges to deliver faster, smarter outcomes.

Engagement

contact

marketing@jktech.com

Engagement

contact

marketing@jktech.com

Existing Enterprise Structure

Core Systems

Data Warehouse

Document Storage

ERP

CRM

Media

HR