AI infrastructure for accounting

Accounting is document processing at industrial scale. A firm handles invoices, receipts, statements, and filings across dozens or hundreds of clients, all of it arriving continuously, in every format, and all of it needing to be turned into structured data and kept strictly separate per client. If you're building tools for accounting, the model isn't the bottleneck, the infrastructure is: extraction that copes with the variety, processing that keeps up with the stream, and isolation that keeps one client's books out of another's.

This page is for teams building accounting tools. Exabase gives you document extraction through Extract, scheduled processing through Workers, and per-client isolation through Bases, on one platform. Each client's data stays sealed in its own environment, and the continuous flow of documents gets processed without a manual run for each batch.

What you can build

Accounting tools tend to be one of a few shapes, each on infrastructure that already exists.

A document processing pipeline that extracts structured data from invoices, receipts, and statements automatically, the invoice and receipt processing pattern, with Workers handling the continuous stream.

A bulk financial-document processor that turns the flood of paperwork across a firm's client base into clean, structured data at volume, document extraction at scale.

A per-client books assistant that holds a client's financial context and documents, isolated to them, and answers from their own records, per-client Bases with a RAG pipeline over their documents.

A searchable financial archive where past invoices, receipts, and statements stay findable for reconciliation and review, Deep Search over stored documents.

Accounting problems, solved

The problems accounting builders run into are specific, and each has an answer.

Structured data from messy documents. Invoices and receipts come in endless layouts, crumpled, scanned, photographed, in every supplier's format. Extract turns them into clean, structured text and metadata through one API regardless of layout, including scans and images, so the data is usable rather than re-keyed by hand.

A continuous stream of paperwork. Documents don't arrive in tidy batches, they come all the time. Workers process new documents on a schedule, so the pipeline keeps pace with the stream rather than waiting for someone to run a job. It's the scheduled-processing pattern from invoice and receipt processing.

Keeping each client's books isolated. A firm's clients must stay separate, one client's financial data has no business in another's. Bases make isolation structural: each client gets a sealed environment, and operations scoped to it can only see that client's data. It's the multi-tenant memory pattern.

Finding past documents. Reconciliation and review mean finding a specific past invoice or statement. Stored as Resources and indexed for Deep Search, past documents stay findable by meaning, so pulling up a vendor's invoices or a past statement is a query rather than a hunt.

The infrastructure underneath

Four primitives carry most accounting tools. Extract turns invoices, receipts, and statements into structured data at scale. Workers process the continuous document stream on a schedule. Bases keep each client's books isolated from a single API call. Deep Search makes the stored archive findable by meaning. One API key, rather than building and operating extraction, scheduling, storage, and isolation separately. Exabase follows strong security and privacy practices, including AES-256 encryption at rest and structural data isolation between tenants, and has passed CASA Tier 2 review.

Built to process at firm scale

An accounting tool on this foundation scales with the document flow rather than straining against it. Extraction and scheduled processing handle the continuous volume a firm's client base generates, and adding a client is one API call to create their isolated environment, so the separation holds whether the firm has fifty clients or five thousand. Each client's archive compounds into a searchable record over time, paid for once at extraction and useful indefinitely, while isolation between clients stays absolute. The undifferentiated work, parsing every format, queueing, retries, isolation, stays the platform's problem while the firm's volume grows.

Get started

Start with the getting started guide, then the use-case pages that match what you're building: invoice and receipt processing, document extraction at scale, and multi-tenant memory for SaaS for per-client isolation. There's a free tier to build against.

FAQs

Can it extract structured data from invoices and receipts in any format?

Yes. Extract turns invoices, receipts, and statements into clean, structured text and metadata through one API, handling scans, photos, and varied layouts as well as native PDFs, so the data is usable rather than re-keyed by hand.

Can it keep up with documents arriving continuously?

Yes. Workers process new documents on a schedule, so the pipeline keeps pace with the stream without a manual run for each batch. It's the invoice and receipt processing pattern.

How is each client's data kept isolated?

Each client gets their own Base, a structurally isolated environment, so operations scoped to it can only see that client's data and cross-contamination is prevented by the architecture. It's the multi-tenant SaaS pattern.

Can past documents be searched for reconciliation?

Yes. Stored as Resources and indexed for Deep Search, past invoices and statements stay findable by meaning, so pulling up a vendor's invoices or a past statement is a query.

Is it secure enough for financial data?

Exabase follows strong security and privacy practices, including AES-256 encryption at rest and structural data isolation between tenants, and has passed CASA Tier 2 review. It's also HIPAA compliant. Whether a given deployment meets your specific obligations is a determination for your own review.

Is this a finished accounting product or something I build on?

Something you build on. Exabase is the infrastructure, extraction, scheduled processing, isolation, and search, and you build the accounting tool on top, for the firm and its clients to use.