The AI Primitives for Production-Grade Applications

No more manual data. No more brittle parsing. Just a simple, reliable API built for enterprise scale.

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The Primitives for Building Intelligent Products

Route

Transform

Split and Join

Enrich

Visualize & Train

How it works

Building your AI product with bem is as easy as setting up a workflow and integrating with our API. It takes hours, not days.

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Flexible workflows, built like infrastructure

Define how each document type is handled. Workflows are composable, modular, and built for production. Process the most complex, diverse data on Earth, and pipe it to any system, with full traceability.

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Automated evals and function reviews

Don’t trust industry benchmarks, build your own. bem runs full evals and LLM-as-a-judge in production, and runs full reports on labeling needs given accuracy thresholds.

Generative surfaces that actually work

Friends don’t let friends codegen mission-critical products. bem generates gated, guard-railed, customizable operator surfaces automatically with your data. Use them standalone or embed them directly in your product.

Garbage in, JSON out. Accurately- in milliseconds. For tens to millions of docs.

Pricing that scales with you

bem for startups

Everything you need to get started building intelligent features. Perfect for teams looking to ship product faster and automate their first set of unstructured data workflows.

$750/month
Up to 7k calls/month
bem email support
Schema building guides
Unlimited team licenses
Full API access
for mission
Critical operations

A complete solution for organizations transforming thousands to millions of documents per week. Includes advanced security, dedicated support, and flexible deployment options.

Custom Pricing
Custom volume & unlimited transformations
1-click fine-tuning and training, automated MLOps
Dedicated Slack support & priority access
On-prem / VPC deployment options
SOC 2 & HIPAA compliance
Full API access

Start building with bem

Talk to our team to walk through how bem can work inside your stack.