Enterprise AI Infrastructure

The Hard Part of AI, Solved.

Jheel.io bridges the gap between raw business data and AI capabilities. You describe the agents, and we handle the orchestration, complex extraction, retrieval, and cross-system automation underneath. Let your engineers call an endpoint and ship in days.

harness.jheel.io — session

Any document
becomes clean data.

Submit an invoice, bank statement, healthcare form, or brokerage report in any format — PDF, DOCX, XLSX, or image. jheel.io returns a normalised, typed JSON payload with a consistent field schema, ready for your application to use immediately.

No OCR pipeline to build. No prompt to tune. No model to host. Your developers call one endpoint and get structured data back.

Any format accepted PDF, DOCX, XLSX, JPG, PNG — submitted as a single multipart upload. No pre-processing on your end.
Consistent output schema Vendor name, totals, line items, and dates always return in the same structure — regardless of the source document's layout or formatting.
Structured extra fields Model-extracted metadata with confidence scores surfaces in AdditionalFields. Your application decides what to use.
invoice bank-statement healthcare-form brokerage-report purchase-order
extraction response
rag query

Ask anything
across your corpus.

Every session becomes a queryable knowledge base. Ask natural-language questions against any set of uploaded documents — vendor contracts, financial histories, patient records — and receive structured answers with source attribution and confidence scoring.

No vector database to provision. No embedding pipeline to maintain. Query your documents the moment they're processed.

Real-time indexing Documents become queryable immediately after extraction completes.
Source attribution Every answer references the specific document and page that informed it.
Confidence scoring Know when an answer is definitive versus a model inference. Act accordingly.

Define the intent.
The agent acts.

Compose autonomous workflows in a single API call. Write a plain-English prompt, declare the tools the agent may use, and jheel.io handles orchestration, retries, and cross-system coordination. Agents operate read and write over Shopify, NetSuite, and Postmark — with more integrations in progress.

No workflow builder. No bespoke integration code. No LLM prompt engineering on your end. One POST and it runs.

Natural-language prompts Describe what the agent should do in plain English. jheel.io handles the rest.
Scoped tool access Declare exactly which tools the agent may call. Principle of least privilege, enforced at the API layer.
Observable execution Inspect every action an agent took, in sequence. Full audit trail via the agent status endpoint.
agent creation

Connected to where
your business runs.

jheel.io agents operate natively over the systems your team already uses. No middleware. No custom webhooks. Full read and write access per declared tool scope.

Shopify

Read and write orders, manage customer records, update fulfilment status. Build post-purchase automation without a single line of Shopify API code.

shopify.orders.read shopify.orders.create shopify.customers.read shopify.customers.update
NetSuite

Post journal entries, raise invoices, read sales orders, manage item records. Keep your ERP in sync without manual data entry or point-to-point integrations.

netsuite.invoices.read netsuite.invoices.create netsuite.journal_entries.create netsuite.sales_orders.read netsuite.items.read
Postmark

Send transactional emails and read inbox messages. Trigger confirmations, receipts, and alerts as part of any agent workflow — no separate email service integration needed.

postmark.email.send postmark.inbox.read

Additional integrations in active development. Request one →

Start extracting
in minutes.

One API key. Three endpoints. Any document type. No infrastructure to provision, no model to tune.