Meshline turns everything your organization produces into one governed memory you can ask anything, with every answer cited to its source.Know everything. Prove everything.
The model knows everything except what you know: your decisions, your customers, your formats, your permissions. Bolting a chatbot onto your files does not close that gap; it retrieves fragments of it. Meshline closes it by construction.
Data, intelligence, and workflows, packaged as one. Your corpus becomes a governed memory; intelligence reads it and cites every claim; workflows act on what it knows. Not a warehouse plus a wiki plus a chatbot: one living object you own.
Tools can only do so much. Every deployment ships with operators accountable for the outcome: your sources readied, your formats captured, the rollout run until it is load-bearing. You buy the outcome; the entity plus the people is how it arrives.
Meet the operatorsSimilarity proposes. Evidence decides.
A short, concrete walkthrough: the kind of artefact every enterprise generates a hundred times a week. The difference is what the system does with it.
Naive RAG splits the meeting note into chunks mid-word, scores them by similarity to the question, and returns the single highest-scoring fragment as the answer: no context, no lineage, no permission check.
Meshline resolves “the company” to portfolio company Startup X, cross-links the board minutes, the fundraising memo and the unanswered CFO email, flags the conflicting Q1 commitment from Operations, checks the asker’s clearance, and delivers a cited, permission-filtered context packet.
From a simple count to the question you ask at midnight. Real behavior, from a live deployment and its graded evaluation suite, identifiers redacted, numbers preserved.
Estimates from the handful of chunks it happened to retrieve.
392 open of 622, computed as a query against the structured store, not guessed from fragments. Status-aware counts behave the same way: merged PRs = 1,757.
LIVE DEPLOYMENT · REDACTEDNo fixed question list. The suite is generated from your data’s own ontology: its facets, its name collisions, its real counts.
As many as your corpus demands, graded against ground truth computed live from the store. A confidently wrong number fails the gate.
The pass bar is agreed up front. Pass or fail, the graded report is yours.
Every message, comment, attachment, revision and mention, not a lossy summary. The moment the AI can see across all of them at once, it answers questions no single tool ever could.
Language- and domain-agnostic by design: the graph is built from meaning and evidence, not English keywords. An Arabic contract and an English thread about it resolve into the same graph, and the same is true for any vertical’s vocabulary, from clinical protocols to network topology.
Agents request context. The kernel decides what, if anything, to reveal.
Most of your software bill is rent on views over data your company already produced. Meshline holds that data as one governed memory and serves the views from the App Center: install one, retire one, build your own. The vendors stop being databases and go back to being screens.
Plus 75 more packs on the shelf. Rails stay rails: payroll, e-signature, SSO, the code host, money movement. Meshline replaces the views over your data, never the infrastructure under it.
Read: apps are viewsEvery view fires on a cadence you set or the moment a threshold is crossed, cited line by line, scoped to the reader’s clearance.
The brain is not another app to log into. It answers where your team already works, and every reply carries its citations and obeys the asker’s permissions.
Permissions are inherited from the originating system and never weakened, no matter which channel the question comes through.
With every deployment, an accountable expert stands behind the truth of your brain: the Librarian.
The AI does ninety percent: discovery, identity resolution, the obvious merges, retrieval. The Librarian does the ten percent that is judgment, ambiguity, and accountability. Pure-AI memory silently decays and overwrites with no one responsible. A Meshline brain has a name attached to it.
This is not a role we invented. It is the oldest knowledge profession given new leverage: the same faceted cataloguing librarians have practiced since 1931, applied at company scale, with an AI doing the first pass.
Merges duplicates, splits false merges, retypes and relates. Resolves the genuine ambiguities the AI escalates.
Owns the gray cases a machine should not decide alone: are these two people the same? Is this claim still true?
Keeps the brain fresh and honest, and stands behind every answer. When it matters, there is a person you can call.
Trust doesn’t come from a model. It comes from a person you can call.
Meshline reconstructs the underlying object (the decision, the entity, the contradiction, the lineage) and exposes it through a permission-aware kernel. Built for sovereign deployments where RAG cannot go.
Clearance enforced in the query itself, source bytes hash-addressed and never destroyed, and a sovereign tier where nothing leaves your perimeter. See the redaction in the clearance lens.
Three sectors. Redacted. Each one surfaced something the organization had already silently accepted. Read the case files.
We work with governments and global enterprises by invitation. Every engagement starts with a scoped pilot on your own corpus: success criteria agreed up front, judged on a graded report, not a demo. You keep the report either way.
