Your firm rebuilds the same knowledge every Monday. Provium maintains it.
Living, source-cited entity pages that update themselves as documents arrive — so Monday morning tells you what changed, every claim is traceable, and nothing is ever rebuilt from scratch.
The information exists.
Nobody maintains it in usable form.
Before every vendor review, every counterparty check, every matter update — someone spends hours pulling together information the firm already has.
Monday morning, 8:47am
A compliance officer at a regional bank sits down to check on 40 monitored counterparties. She opens a sanctions database. She searches her inbox. She digs out a memo she cited three weeks ago — where did she save that? An hour later, she has partial coverage on six entities and a meeting in fifteen minutes. Somewhere in what she didn't get to: one of her vendors was added to a sanctions watchlist on Friday afternoon.
Search finds fragments. It doesn't synthesize.
Entity databases tell you what the entities are — ownership trees, sanctions hits, risk scores. They don't tell you what your firm already knows about those entities from its own documents. You still have to stitch it together yourself, every time.
Chat AI answers questions. It doesn't maintain records.
Every conversation starts from zero — even the newer "memory" features just remember a few preferences for one user. 50 questions later, the firm has no living synthesized record — just a history of answered questions that evaporated when each tab closed.
Knowledge bases go stale the moment you stop updating them.
SharePoint, Confluence, Notion — whatever the firm uses, those pages are only as fresh as the last person who edited them. The more entities you track, the worse coverage gets. There is no team large enough to do this manually at scale.
A continuous editorial engine.
Not a search tool. Not a chatbot.
Five layers run automatically as documents arrive. Pages update in place. Every claim cites its source. The firm never rebuilds this knowledge again.
Ingest
Filings, news, sanctions bulletins, memos, and emails — any format your team uses.
Extract
Breaks each document into structured evidence — entities, claims, risk flags — each linked to its source.
Resolve
Matches evidence to the right canonical entity across different names, jurisdictions, and contexts.
Synthesize
Updates entity pages in place. Every claim cites its source. Contradictions are surfaced, not hidden.
Read
Open the page. The synthesis is already done, every claim cited, what changed since your last review at the top.
Three things no other tool gives you simultaneously.
The three primitives that make a firm's knowledge actually hold up: real citations, contradictions surfaced, and a defensible trail of every change.
Citations that actually go somewhere.
Most AI tools "cite" by linking the whole document. Provium shows you the source page, the exact passage that was extracted, and every other entity page where the same source is used. Citations become a way to navigate the knowledge graph — not a footnote, an interface.
Honesty as a product feature.
When two documents disagree about a fact, Provium surfaces both — with attribution — rather than picking one and hiding the other. The resolution panel shows you what the firm knows and where the uncertainty lives. No hallucination, no suppressed contradictions.
Every edit is a signed commit.
Provium pages are plain markdown files in git. Every update is a commit. Every access is in the audit log. Compliance teams get chain of custody via tooling they already trust — no new workflow, no new mental model, full defensibility in a regulatory examination.
Built for teams where missing something
has real consequences.
We're starting where the pain is sharpest — buyers who already pay for knowledge work tools and know exactly what they're not getting.
Banks, insurers, and asset managers
CCOs, Heads of Third-Party Risk, and Compliance Directors at regulated mid-market institutions monitoring 30–500 counterparties and vendors.
The Monday morning above is yours, every week. Provium turns it into a five-minute review of what actually changed — every claim already cited, every edit logged, all of it defensible in a regulatory examination.
Investigation and litigation support firms
Kroll, FRA, BRG-class investigation firms. AmLaw litigation practice groups. OSINT and corporate due diligence teams.
Every matter has a cast of characters that maps to entity pages. Provium's pages start cited — briefs become reviews, not research projects — and "What Changed" means nothing slips between matter updates.
Other tools find, answer, or store.
Only Provium maintains.
Six things institutional knowledge needs in order to actually be reliable: grounding in your firm's own documents, continuous updates, persistence over time, claim-level citations, contradictions surfaced, and a defensible audit trail. Most tools deliver one or two.
| Capability | Search | Chat AI | Entity DBs | Provium |
|---|---|---|---|---|
| Grounded in your firm's own documents Reads YOUR filings and memos — not just public web data | ✓ | per query | — | ✓ |
| Updates continuously without human effort Pages refresh as documents arrive — no maintainer required | ✓ | — | public data only | ✓ |
| Builds a permanent record over time Each new source improves the page — nothing rebuilt from scratch | — | — | — | ✓ |
| Every claim cited to its source passage Click any claim, see the exact passage and source — not just a doc link | passage links | — | — | ✓ |
| Surfaces contradictions across sources When two filings disagree, both shown with citations — the human decides | — | — | — | ✓ |
| Git-backed audit trail for regulators Every edit timestamped, signed, and reconstructable in an examination | — | — | — | ✓ |
Most tools wait for you to ask. Provium maintains the answer.
The high end of the market — governments and Fortune 100 firms — solved this years ago by modeling the world into entities, relationships, and claims, and paying for months of consulting per deployment. The model works. But the work still falls back on the analyst: formulate the question, traverse the graph, write the synthesis.
Provium closes that loop. The same model — entities, relationships, claims, sources — is continuously synthesized into living pages that humans can read and machines can consume. Documents in; updated pages, resolved entities, and change events out. Automatically. Continuously. Cited end to end.
It's pre-built for compliance and legal/litigation work. Pages materialize as documents arrive — not after six months of consulting.
Four things changed simultaneously that make this viable today.
Inference cost dropped to viable. Continuous synthesis on thousands of entity pages at 2023 pricing was uneconomical. Today it's routine.
Context windows crossed the threshold. A synthesis agent now reads a full entity page plus multiple source documents in a single 200K-token pass. Impossible at 4K tokens.
Structured extraction became trustworthy. Entity extraction, claim decomposition, and relationship identification from legal and regulatory text now reaches accuracy levels that won't poison a knowledge base.
Andrej Karpathy independently validated the architecture. In April 2026 he published a similar pattern — LLMs maintaining a persistent wiki from sources, updating entity pages, noting contradictions. He framed it as a personal experiment. Provium is the enterprise version.
"Most people's experience with LLMs looks like RAG...the LLM rediscovering knowledge from scratch on every question. There's no accumulation."
We've shipped this engine before. On the hardest data in the industry.
Provium is the production architecture of Breachwater, our breach-response engine. Same primitives — ingest, extract, resolve, synthesize, deliver — proven on raw breach data at scale. We're now applying them to a much larger market.
We're working with a small number of compliance and legal teams.
If this is relevant to your work, we'd like to hear from you.