A context layer on top of the documents you already have. Every company, founder, and relationship — connected, queryable, and cited back to the exact paragraph or cell.
Merivia doesn’t just store what you’ve uploaded. It understands what each fact means, who it’s about, and how it connects to everything else in your organization.
Not all information is equal. Merivia knows the difference between a metric that belongs on a company node — revenue, ARR, industry, ICP — and a detail that’s contextual but still worth keeping. Typed facts connect to the right entities and can be queried precisely. Everything else gets stored as an unstructured claim, available for retrieval but not cluttering your graph.
Over time As your data grows, Merivia notices which unstructured claims keep recurring. Patterns emerge, and what was once a loose note becomes a typed relationship.
When a new document arrives, Merivia checks whether any of the facts it contains update something you already know. A new quarterly report doesn’t create duplicate data, it supersedes the old metric, preserving the history while surfacing what’s current.
In practice Ask for the latest revenue figure and you get today’s answer. Ask for the year-over-year trend and Merivia traces the lineage automatically, from earliest known to most recent, in a single query.
Every response Merivia gives is grounded in something you actually uploaded. Not general knowledge. Not inference. When Merivia tells you a company’s ICP, it can show you the sentence in the deck that told it so.
Auditable The graph stores not just facts, but where each fact came from. Over time, your knowledge base becomes auditable, and your team’s trust in it compounds.
Every metric, claim, and piece of context stays attached to the document it came from.
Upload your documents. Pitch decks, portfolio updates, due diligence files, meeting transcripts. Merivia reads them, extracts what’s material, and structures it automatically.
Every fact Merivia finds is linked to the right company, person, or relationship. Companies to their metrics. Founders to their backgrounds. Mentors to their expertise. The graph reflects how your organization actually thinks.
Query the graph in plain language. Find portfolio companies in a sector. Surface mentors relevant to a founder’s challenge. Track how a metric has changed across quarterly updates. Merivia traverses the graph to assemble the answer.
List recent follow-on financing events, and which financiers are shared with other portfolio companies.
Three follow-on events in the last 90 days, with two financiers recurring across the portfolio. Greenfield Foundation backed Northstar’s Series B1, and turned up again in Atlas’s Series A2. Camber Creek co-led Atlas’s round2 and then led Beacon’s seed3. Caveat: an Atlas all-hands transcript4 indicates Greenfield ultimately backed out of Atlas Yield’s Series A. Camber Creek led alone.
Funds, foundations, programs, and departments all run on relationships, but the shape of those relationships differs enough that one pitch wouldn’t fit any of them.
You think in deals, theses, and follow-ons. Merivia keeps a connected record of the founders you’ve met, the companies you track, the LPs you talk to, and the context behind every introduction. Queryable, structured, cited.
You think in cohorts, grantees, mentors, and long arcs of founder and grantee progress. Merivia structures years of program and grant documentation into a living graph: which organizations went through which programs, which mentors care about which issue areas, who’s growing and who needs help.
You’re the team people come to with the same questions every quarter. Compliance reviews, board prep, regulatory filings, executive briefings. Merivia holds a living graph of every dataset, source, and decision behind your reports, so you stop rebuilding context from scratch each cycle.
Book a 20-min call to explore a pilot.
