Integrate Exa AI with Jinba

Connect Exa AI to your enterprise workflows with full audit logging and on-premise deployment. Run governed retrieval pipelines for KYC, compliance checks, and document review without compromising regulatory standards.

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  1. Verification requested A claim needs evidence from the web
  2. Search with Exa Neural search across the open web
  3. Assess the evidence Weigh what the sources actually support
  4. Confidence gate Thin evidence goes to a researcher
  5. Attach to the case Findings and citations stored

What you can do with Exa AI + Jinba

  • Governed AI Search Retrieval

    Route Exa AI search queries through deterministic Jinba workflows so every retrieval step is logged, auditable, and reproducible — meeting the traceability standards required by regulated financial and healthcare operations teams.

  • On-Premise and Private Deployment

    Deploy Exa AI-connected workflows entirely on-premise or in a private cloud. No query data leaves your environment, satisfying air-gapped requirements at large banks, insurers, and pharma organizations with strict data residency mandates.

  • Team-Wide Workflow Sharing

    Publish Exa AI retrieval workflows as reusable, RBAC-controlled team assets. Compliance officers, KYC analysts, and operations staff execute approved search pipelines via Jinba App without accessing underlying configuration or model endpoints.

  • Deterministic Retrieval Pipelines

    Wrap Exa AI calls inside 80% rule-based Jinba workflows to produce consistent, cost-controlled outputs. Replace unpredictable stochastic agent loops with structured retrieval steps that run at a fraction of the token cost.

How teams use it

KYC Document Retrieval and Verification

Automate retrieval of counterparty and entity information via Exa AI within a governed Jinba workflow. Every lookup is logged, permissioned, and auditable, satisfying KYC compliance requirements for banks and insurance operations teams.

Compliance Research and Evidence Gathering

Build structured Exa AI search steps into compliance workflows so analysts retrieve regulatory guidance, case law, or policy documents through a repeatable, auditable pipeline rather than ad-hoc AI queries.

Contract and Regulatory Document Review

Use Exa AI retrieval inside Jinba Flow to surface relevant precedents and regulatory references during contract review, with full version control and audit logs for every document accessed during the process.

Investment Document Assessment

Embed Exa AI search into investment document workflows to retrieve market data, filings, and reference materials within a deterministic, permissioned pipeline that satisfies governance requirements for regulated asset managers.

Works well with

Microsoft SharePointMicrosoft 365

Automate document intake, extraction and routing

AWS Bedrock Knowledge BaseSearch & Data

RAG and document sync inside your own VPC

Anthropic (Claude)AI Models

Invoke Claude models as a workflow step

OpenAIAI Models

Call OpenAI models from any flow

Microsoft OneDriveMicrosoft 365

Pull files into flows and write results back

Frequently Asked Questions

Everything you need to know about Jinba. Can't find the answer you're looking for? Reach out to our support team.

Does the Exa AI integration work in an on-premise or air-gapped environment?

Yes. Jinba supports on-premise and private-cloud deployment, which means Exa AI-connected workflows can run entirely within your infrastructure. No query data, retrieved documents, or workflow outputs need to pass through external Jinba servers. This satisfies data residency and air-gapped environment requirements common at large banks, insurers, and pharma organizations.

Is data sent to Exa AI exposed to a public AI model?

Jinba gives your team control over how AI model calls are routed. You can configure private model hosting via AWS Bedrock, Azure AI, or self-hosted models alongside the Exa AI integration. Your security and compliance team retains visibility into every data flow through Jinba's full audit logging, so no retrieval step is a black box.

Does the Exa AI integration include audit logs for regulatory compliance?

Audit logging is built into every Jinba workflow, including those that incorporate Exa AI retrieval steps. Every search query, retrieved result, and downstream workflow action is logged with a full history. This gives compliance officers and auditors a traceable record of AI-assisted research and document retrieval activities required in regulated industries.

Can non-technical staff use Exa AI workflows without accessing the underlying configuration?

Yes. Workflows built in Jinba Flow that incorporate Exa AI are published to Jinba App, where non-technical users such as KYC analysts, compliance officers, and operations staff can execute them via a conversational interface or auto-generated forms. Role-based access controls ensure users only invoke the workflows they are permitted to use, without touching underlying model endpoints or configuration.

How does Jinba reduce the cost of running Exa AI at enterprise scale?

Jinba's deterministic architecture wraps Exa AI calls inside 80% rule-based workflows, which avoids running stochastic AI agent loops on every execution. This structural approach significantly reduces unnecessary LLM token consumption compared to fully agentic retrieval pipelines, which is a meaningful consideration for CFOs managing enterprise AI spend at scale.

Connect Exa AI to Your Enterprise Workflows

Talk to our team about deploying governed Exa AI workflows on-premise with full audit logging and enterprise controls.

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