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Boxes to Bytes
The Platform

We build a custom AI on your data. And we hand you the keys.

Every layer of the BTB stack, from capture and extraction to embeddings, the AI itself, and the integrations around it, is built in-house, end to end. The result is a custom AI grounded in your records, and because we own the whole stack, it stays open, portable, and yours.
The full pipeline

One builder. The whole stack. Your AI at the end of it.

Most vendors stitch together a scanner, a third-party OCR tool, and an off-the-shelf chatbot, then lock the result in their cloud. BTB is built differently. We engineer the entire pipeline in-house and aim it at one outcome: a custom AI that knows your documents.

Stage 01

Capture

High-resolution, archival-grade images of every page, including bound and fragile material.

Stage 02

OCR & Extraction

Clean text and structured fields pulled from every document.

Stage 03

Vectorization & Embeddings

Your content is converted into embeddings and stored in a vector database, so the system understands meaning, not just keywords.

Stage 04

Your Custom AI (RAG)

A private AI, grounded in your records, that answers questions in plain English and cites the exact source page. It knows your documents because it was built on them.

Stage 05

Open Access Layer

REST API endpoints and an MCP server so your systems and your AI agents can connect directly.

Why “open” matters

The closed-silo problem.

The incumbents in document digitization run as closed cloud silos. Your records go in, their search and their chatbot sit on top, and there's no open data layer and no way to bring your own AI model. BTB inverts that.

Closed silos

  • Your records locked inside their cloud
  • Generic search and a bolted-on chatbot
  • No open data layer
  • No way to bring your own AI model
  • You rent access to your own information

Boxes to Bytes

  • Open data layer. Your structured data is accessible, exportable, and yours.
  • Bring your own LLM. Point the system at the model you trust, including a private one on your own hardware.
  • Developer-ready. REST APIs and MCP mean your archive is a building block, not a dead end.
Build on top of it

A custom AI you can build on.

Because the platform is open, your custom AI and the data behind it can power things the original paper never could. You're not buying a place to store old documents. You're getting a data asset you can build a business process around.

Internal dashboards

Surface records and metrics inside the tools your team already uses.

Automated compliance checks

Flag missing signatures, lapsed inspections, or incomplete files automatically.

AI agents that monitor records

Stand up agents that watch your archive and answer on demand.

Integrations across your stack

Wire your records into the rest of your software through APIs and MCP.

See it on your data

Want to see it running on your data?

We'll walk you through the full stack, capture to API, on a real set of your records.