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Structured work automation for critical industries.

Teams use bem to build AI-native products that understand any kind of data, make multi-layered decisions, and leave an audit trail on every run.

  1. 01 Input (Input: the call itself)
  2. 02 Classify2.9s
  3. 03 Extract14.6s
  4. 04 Enrich0.5s
  5. 05 Shape (Payload Shaping)
  6. 06 Send

Or try

Drop, paste, or choose any file, or run a sample, and bem reads it live.Choose any file, or run a sample, and bem reads it live. Your file is processed by bem’s demo environment. Don’t upload confidential documents.

02Proof

Running in production today.

Teams in finance, insurance, logistics, and manufacturing run bem on live operations.

  • Fleetio
  • Alvys
  • Ascend
  • Ply
  • PromptWell
  • Clasp
  • Auto Integrate
Insurance
80%
less engineering overhead
Handling diverse data formats.
Logistics
65%
faster paper invoice processing
With accuracy held.
Manufacturing
15h
saved per team member per week
Automating supplier RFPs.

03Data

Unstructured data in. Production-ready structure out.

Documents, audio, video, spreadsheets, and email run through one workflow, not five. The same components, the same schema, the same audit trail.

In plain wordsPDFs, scans, calls, and emails in; clean records your systems can act on.

  • DOCDocumentsPDFs, scans, forms, faxes
  • AUDAudioCalls, voicemails, recordings
  • VIDVideoCamera footage, inspections
  • XLSSpreadsheetsWorkbooks and CSV exports
  • EMLEmailThreads and attachments

One schema out

bill_of_lading_number
"079243"0.99
consignee.name
"AFRICAN DISTRIBUTION COMPANY"0.99
container_details.container_number
"NIDU 180101-5"0.99
gross_weight
"28.000.00 kgs"0.98

Recorded bem output from a bill of lading. Typed fields, each with a confidence score.

04Components

Components that compose into workflows.

A workflow is a graph of functions with one entry point, and the input is the call itself: an API request, an upload, or an email. Each component does one job, and the workflow follows the same steps on every run.

  1. 01

    Split

    Break a file that holds many documents into one document each.

  2. 02

    Classify

    Label each input and send it down the right path. Routing starts here.

  3. 03

    Extract

    Pull typed fields into the schema you define, each with a confidence score.

  4. 04

    Enrich

    Match against your reference data and add what your systems already know.

  5. 05

    Payload Shaping

    Reshape the JSON into the form your downstream system expects.

  6. 06

    Send

    Deliver the result to a webhook, an S3 bucket, or a Google Drive folder.

Also available: Parse for sections, entities, and relationships, Join for many inputs into one output, Render for a Word document from a template, and Evaluate to grade another function’s output. Decide applies your policies to extracted data.

2 to 2,000 pages. Extraction handles both through the same workflow.

05Decisions

Your build, our burden.

Decide combines extracted data with your policies and returns a decision with reasoning and a confidence score. It runs after Extract and Enrich. You write the policy. bem runs it on every record and keeps the receipt.

Example run · invoice

Extracted data

invoice_total_current_amount
2,050,274.16
total_labor_current_amount
191,385.21
total_other_direct_costs
1,858,888.95
invoice_date → due_date
2013-09-11 → 2013-10-11
payment_terms
NET 30

Your policy

  1. Line totals must equal the invoice total.
  2. The due date must match the stated terms.
  3. Anything over 1,000,000 goes to a controller.

Decision

Escalate to controller

Totals reconcile and the due date matches NET 30. The total of 2,050,274.16 is above the 1,000,000 auto-approval limit.

confidence 0.98

06Principles

Predictable. Trustworthy. Composable.

  • 01

    Predictable

    AI that adapts but stays on track. It follows the defined process every time. Messy inputs vary, but the steps don't. Guardrails elsewhere are markdown files. bem's are rails.

  • 02

    Trustworthy

    bem carries the burden of correctness: accuracy metrics, human review, and every result inspectable. bem trains on customer data only on request, and you keep the model weights. Deploy as SaaS, SaaS with private peering, or fully air-gapped.

  • 03

    Composable

    Any data type in one platform. Components snap together into workflows, and the same components serve every input.

07Infrastructure

We run the models, compute, and upgrades. You set the schema and see every result.

No model selection, no GPU capacity, no deprecation cycles for you to manage.

You

  • The schema
  • Your policies
  • Review thresholds
  • Every result, inspectable

bem

  • The models
  • The compute
  • The upgrades
  • Retraining, on request

08Build

You still build — with the right toolkit.

The model labs supply the raw capability. bem supplies the toolkit, so you build faster and keep control of the product.

  1. You buildYour product, your workflows, your policies
  2. bem suppliesThe toolkit: components, workflows, evaluation, human review, and the infrastructure underneath
  3. Model labs supplyThe raw capability

Start free.

The first 100 function calls are free. Pricing is per task, not per token or page. Pay as you go, with no lock-in.