
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
Retail & CPG
Optimize merchandising, reduce stockouts, increase conversions.
15%
Fewer stockouts
20–30%
Increase in order value

“Optimize merchandising, reduce stockouts, increase conversions.”
Pranav Sethi
-
CEO
Insurance
Automate claims, streamline underwriting, and enhance compliance.
Up to 125×
ROI in claims processing

“JIVA automates our underwriting from intake to policy drafting — turnaround time has been cut dramatically.”
William Harris
-
Head of Underwriting
Retail & CPG
Optimize merchandising, reduce stockouts, increase conversions.
15%
Fewer stockouts
20–30%
Increase in order value

“Optimize merchandising, reduce stockouts, increase conversions.”
Pranav Sethi
-
CEO
Insurance
Automate claims, streamline underwriting, and enhance compliance.
Up to 125×
ROI in claims processing

“JIVA automates our underwriting from intake to policy drafting — turnaround time has been cut dramatically.”
William Harris
-
Head of Underwriting
Retail & CPG
Optimize merchandising, reduce stockouts, increase conversions.
15%
Fewer stockouts
20–30%
Increase in order value

“Optimize merchandising, reduce stockouts, increase conversions.”
Pranav Sethi
-
CEO
Insurance
Automate claims, streamline underwriting, and enhance compliance.
Up to 125×
ROI in claims processing

“JIVA automates our underwriting from intake to policy drafting — turnaround time has been cut dramatically.”
William Harris
-
Head of Underwriting
Retail & CPG
Optimize merchandising, reduce stockouts, increase conversions.
15%
Fewer stockouts
20–30%
Increase in order value

“Optimize merchandising, reduce stockouts, increase conversions.”
Pranav Sethi
-
CEO
Insurance
Automate claims, streamline underwriting, and enhance compliance.
Up to 125×
ROI in claims processing

“JIVA automates our underwriting from intake to policy drafting — turnaround time has been cut dramatically.”
William Harris
-
Head of Underwriting
Retail & CPG
Optimize merchandising, reduce stockouts, increase conversions.
15%
Fewer stockouts
20–30%
Increase in order value

“Optimize merchandising, reduce stockouts, increase conversions.”
Pranav Sethi
-
CEO
Insurance
Automate claims, streamline underwriting, and enhance compliance.
Up to 125×
ROI in claims processing

“JIVA automates our underwriting from intake to policy drafting — turnaround time has been cut dramatically.”
William Harris
-
Head of Underwriting
Retail & CPG
Optimize merchandising, reduce stockouts, increase conversions.
15%
Fewer stockouts
20–30%
Increase in order value

“Optimize merchandising, reduce stockouts, increase conversions.”
Pranav Sethi
-
CEO
Insurance
Automate claims, streamline underwriting, and enhance compliance.
Up to 125×
ROI in claims processing

“JIVA automates our underwriting from intake to policy drafting — turnaround time has been cut dramatically.”
William Harris
-
Head of Underwriting
Retail & CPG
Optimize merchandising, reduce stockouts, increase conversions.
15%
Fewer stockouts
20–30%
Increase in order value

“Optimize merchandising, reduce stockouts, increase conversions.”
Pranav Sethi
-
CEO
Insurance
Automate claims, streamline underwriting, and enhance compliance.
Up to 125×
ROI in claims processing

“JIVA automates our underwriting from intake to policy drafting — turnaround time has been cut dramatically.”
William Harris
-
Head of Underwriting
Retail & CPG
Optimize merchandising, reduce stockouts, increase conversions.
15%
Fewer stockouts
20–30%
Increase in order value

“Optimize merchandising, reduce stockouts, increase conversions.”
Pranav Sethi
-
CEO
Insurance
Automate claims, streamline underwriting, and enhance compliance.
Up to 125×
ROI in claims processing

“JIVA automates our underwriting from intake to policy drafting — turnaround time has been cut dramatically.”
William Harris
-
Head of Underwriting
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.
Existing Enterprise Structure
Core Systems
Data Warehouse
Document Storage
ERP
CRM
Media
HR
