bemAI

bemAI is the production layer for unstructured data, giving enterprises everything they need to deploy, manage and trust AI in production. Combine composable primitives to turn raw documents, images and tables into validated, schema-ready data and automated decisions.

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unstructured data pipelineAI data extractiondocument to JSONproduction-ready AI workflowschema validationzero-shot classificationenterprise AI deploymentFleetio case study

Features of bemAI

Extract pulls structured data from any file type—PDF, image, CSV, email—so downstream steps can use it immediately

Transform converts documents into JSON that passes your own schema, no code changes required

Route does zero-shot semantic classification and instant flow control at sub-second latency

Split breaks large files into semantically coherent chunks for parallel processing

Join merges multiple inputs into a single, de-duplicated output

Enrich augments results with your private data sources for richer context

Compose chains primitives into end-to-end pipelines you can version like code

Deploy ships with built-in monitoring, evals and webhooks so you can go live in minutes

Every output is schema-validated; low-confidence items are auto-routed to human review

Use Cases of bemAI

Turn messy multi-format files into clean, analytics-ready JSON

Ship and monitor AI pipelines in production without DevOps overhead

Standardise extraction across documents, scans, forms and tables

Build stateful, branching workflows that handle real-world exceptions

Feed validated data into BI dashboards or downstream automation

Sync results with CRM, ERP or cloud warehouses via API and webhooks

Automatically escalate edge-cases to human reviewers while keeping SLAs

Speed asset-management workflows—see Fleetio case for 5× faster processing

FAQ about bemAI

QWhat is bemai?

bemAI is a production-grade layer for unstructured data. It packages extract, transform, route and validate steps into reusable primitives so teams can deploy trustworthy AI pipelines in minutes.

QWhich file types can I ingest?

Any—PDFs, PNG/JPEG scans, Office docs, CSVs, emails and more. Extract turns them into structured JSON ready for your database or API.

QHow does low-latency routing work?

The Route primitive uses zero-shot semantic classification to decide where each record should go, typically under 200 ms end-to-end.

QCan I trust the output?

Yes. Every record is validated against your JSON Schema. Items below the confidence threshold are automatically queued for human review.

QWhat compliance standards are covered?

Public docs reference SOC 2 Type 2 and HIPAA readiness. Check the official site for the latest certifications.

QWhich primitives ship today?

Extract, Transform, Route, Split, Join, Enrich, Compose and Deploy—combine them to build any document-to-decision flow.

QWhat is a typical use-case?

Ingest invoices, contracts or maintenance logs in any format, extract the fields you need, validate them, and push clean data to ERP or analytics tools.

QWhere can I see pricing?

Head to bemai.ai/pricing for plan details and usage-based tiers.

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