live · acme.vforce360.ai

The demo is already running.

VForce 360 is a governed data lakehouse that turns scanned paper into queryable tables. The demo tenant is open right now with no sign-in needed: browse the catalog, run SQL, and search text extracted from real scanned documents at acme.vforce360.ai.

Explore the live demo → How the demo works

no sign-in needed · read-only demo data · no setup, no sales call first

The VForce 360 SQL editor in the acme demo tenant: a GROUP BY query over cedms.microfiche.pages with 31 result rows returned in 1.3 seconds on the serverless warehouse.

cedms.microfiche.pages, the demo corpus

From microfiche to WHERE clause.

The demo corpus is a real scanned legal filing of 68 microfiche frames. The pipeline OCRs every page, classifies it, scores its confidence, and lands it as rows. Low-confidence pages route to human review; the rest auto-accept. Search hits highlight in the original scan and the extracted text at the same time.

A document detail view: the original microfiche scan of a Petition for Writ of Certiorari on the left, the OCR-extracted text on the right, with the search term jurisdiction highlighted in both panes.

SELECT … FROM the demo tenant, on page load

These numbers are a query, not a claim.

Everything below is fetched when this page loads, from a cached read-only query against the same open acme tenant. Status: querying…

…
pages OCR'd
count(*)
…
document types found
count(DISTINCT doc_type)
…
characters extracted
sum(char_count)
…
mean OCR confidence
avg(confidence)

Top classified page types

GROUP BY doc_type · excluding unlabeled

Review disposition

GROUP BY disposition

Source: /live/stats.json, one fixed, read-only SQL statement against cedms.microfiche.pages, cached for five minutes. If a number is missing, the query did not run. Nothing on this page is hardcoded.

two more surfaces, same tenant

What you land in after sign-in.

Document search results for the keyword jurisdiction: 20 matching pages ranked by match score, each with document type and OCR confidence.

Search the paper. Keyword search across every OCR'd page, ranked by match score, with type and confidence per hit.

The catalog view of the pages table: 19 columns with types, plus sample data, quality, permissions, policies, and lineage tabs, and an Ask Mnemo panel.

Browse the catalog. Schema, sample data, quality, lineage, and permissions per table, with the Mnemo assistant one tab away.

under the demo

One governed platform, five working parts.

Everything in the demo runs on the same substrate we deploy for customers: self-managed, cloud, or on-premises.

Lakehouse coretables · sql · catalog
Apache Iceberg tables, a serverless SQL warehouse, a governed catalog with lineage, quality monitors, and cross-org sharing.
Document intelligenceocr · classify · review
Scanned paper in; queryable rows out. OCR, classification, confidence scoring, human-review routing, and keyword search over extracted text.
Flowpipelines · orchestration
Low-code pipelines and event-driven orchestration that land every source in the lakehouse and keep it fresh.
LMStraining delivery
Course delivery on the same governed substrate: shared content, per-tenant learner records, single sign-on.
Governanceisolation · audit · 508
Per-tenant isolation, relationship-based access control on every read, a tamper-evident audit ledger, and Section 508-conscious UI, built for US federal compliance work with NIST 800-53-aligned controls.

demo access

Two steps, no meeting.

1 ›go to acme.vforce360.ai
2 ›browse the catalog · run SQL · search documents
→ read-only tenant · no sign-in needed · real OCR data · every query audit-logged

Today the demo is read + query. A write sandbox, where you create your own bronze tables and insert sample rows, is rolling out next.

See it before you hear about it.

If the demo answers your question, you never needed the meeting. If it raises one, we should talk.

Open the live demo →

Pilots, procurement, and federal contracting questions:

eric.diana@edgentllc.com

VForce 360 is built by Edgent for US public-sector data work.