How it works
Tuesday, April 21, 2026
How Maasv works

Six sections on the shape,
the mechanism, and the guardrails.

Maasv reads across every system you use, identifying the signals, so it can synthesize them and not the noise. Only then does it surface what you need to know at the right time and act on what you approve. All of this with no extra apps to log into other than the ones you're already in. Here's how it all works.

§ 01 · The shape of the work

Your information isn't missing. It's dispersed.

Your communications live in email and chat. Your meetings live on a calendar, some recorded, most only remembered. Your customers live in a CRM. Your files live in shared drives. Your pipeline lives in a project system. Your numbers live in a finance system. And the most valuable pieces of all still live in the heads of the people who work for you, surfaced only when someone happens to ask the right question at the right time.

Each system holds its own slice. Nothing threads the data estate together for you. The most important things your company knows are usually sitting in the seams between systems, waiting for someone to notice.

Someone has to read the room, all of them, continuously, and write down what matters. That has never been a job a human could do at scale.

§ 02 · Within minutes of connecting

The first week is always the same shape.

Connect Maasv to your systems on a Monday. By the end of the first pass, it has already surfaced the things your company knew without knowing. The specifics belong to you. The shape comes back the same every time.

Revenue.

What share of your business depends on your top five accounts. Which invoices have stalled. Which quotes closed, which didn't, and the pattern that separates the two.

Commitments.

Every promise made in a call that never made it into the system. Every follow-up waiting to be closed. Every obligation coming due that no one is tracking.

Relationships.

Customers drifting toward churn. Customers ready for a renewal conversation you haven't scheduled. Customers who should have been called last quarter and weren't.

Operations.

Where your team is tight, where it's slack, where a surge is coming. The questions your leadership asks every month, answered before they ask them.

§ 03 · What Maasv knows, and how it compounds

The longer Maasv runs, the better it knows your business.

Your people.

Who does what well, who's near capacity, who closes, who teaches, who inherits context the day they join. Scheduling, routing, and hand-offs learn your team.

Your customers.

Who's renewing, who's at risk, who referred whom, who's ready for a conversation before they ask for one. The account comes back with full context every time.

Your revenue.

Where it comes from, what closes, what leaks. Where the next dollar lives and what it would take to land it. Patterns that hide in the individual deal but appear across the portfolio.

Your risk.

Promises waiting, windows about to close, capacity about to break, commitments about to become problems. Held in one place. Surfaced before they matter.

On day one of deploying Maasv, it begins learning about everything that matters. By the end of the first week, it knows your business in ways no system you've ever bought has. Four things make that happen.

It learns what actually works inside your organization.

Every recommendation Maasv makes is tracked against what happened next. Advice that worked gets promoted. Advice that didn't becomes a lesson. You end up with institutional wisdom that was never written down, now written down.

What you see tunes to your team's judgment.

What people on your team open, act on, and share gets more weight. What they skip gets less. The brief starts to read like it came from someone who's been in the room with you for six months, because it did.

Information shows its age.

Yesterday's call weighs more than last year's. Your brand and core customer relationships never fade. Operational noise does, automatically. You're never reminded about something three years stale as if it were fresh.

Patterns surface that no single memory contains.

In the background, Maasv looks across everything it has seen and finds what no one conversation reveals. The third time a customer asked the same question. The week the team committed to more than it could deliver. The quiet signal that didn't look like a signal alone.

§ 04 · What Maasv does, not just says

Briefs, alerts, and digests delivered automatically.

Pre-meeting briefings

Walk into every call with full context.

Thirty minutes before the Thursday client call, Maasv delivers the last conversation's decisions, the open commitments, the support ticket the CSM logged on Tuesday because the renewal pattern matters, and who else is on the call. The internal pricing thread the account team was arguing in finance does not appear, because the role of the person reading the brief does not include access to it. Your team walks in prepared every time, not just when someone had time to prep.

Commitment alerts

Promises that never slip.

Every follow-up, deadline, and delegation tracked with owners and dates. When a deadline is approaching or slipping, the owner hears about it, and so does their manager if it really matters. Nothing waits until someone remembers.

Change detection

Know the moment something moves.

A contact got promoted. A deal shifted stage. A key relationship changed owner on the other side. Maasv watches for changes across your connected systems and surfaces the ones that matter, the moment they matter.

Daily digests

The morning brief, delivered where you work.

A morning summary of what's due today, which accounts need attention, and what changed overnight. Configurable schedule, delivered to Slack or email, tuned to the person reading it.

Your morning changes from "what do I need to do today?" to "here's what Maasv did overnight, and two things that need your approval."

§ 05 · How Maasv plugs in

A continuous loop: ingest, classify, extract, connect, retrieve, act, learn.

The category that has formed around getting the right information to a model at the moment it matters calls itself context engineering, and the buyer-side vocabulary has settled on four pillars: connected access across the systems your business runs on, a knowledge layer that resolves entities and relationships, precision retrieval filtered by intent and role, and runtime governance enforced live at every read. The seven stages below are how Maasv ships all four of them, plus the cognition loop that closes around them and turns memory into action.

01 ingest Pull from every source your business runs on. 02 classify Gate PII, PHI, and financial data before storage. 03 extract Entities, decisions, commitments, obligations. 04 connect Stitch them into the knowledge graph. 05 retrieve Six signals fused on every query. 06 act Brief, alert, close the follow-ups you authorize. 07 learn What worked gets weighted. What didn't becomes a lesson.
Continuous feedback enables experience that compounds.

Maasv connects to the systems your team already uses. OAuth where sources support it, API and webhook where they don't, CSV where you need a one-time import. Standard connectors for email, calendar, meetings and transcripts, shared drives, messaging, CRM, ticketing, and finance. No middleware.

Your team reaches Maasv through the channels they already work in. Slack, email, a lightweight web chat, or API. There is no new dashboard to learn.

§ 06 · Written for the security review

Security is a primitive, not a feature.

Because Maasv sits on the most sensitive material in your company, it was built to guard against what actually goes wrong when an agent has access to your data. The category calls this runtime governance, the fourth pillar of context engineering, and Maasv enforces it live at write, retrieval, and response. Each threat has a specific control. Each control is tested.

Maasv ships in two deployment modes. Self-hosted runs the database, the embeddings, the knowledge graph, and the audit trail entirely on your infrastructure, and nothing Maasv stores leaves your perimeter. Maasv-hosted runs the same components on Maasv infrastructure, dedicated to your tenant alone, with secrets isolated on a separate trust tier from the application database. The server is fail-closed on network exposure in either mode. It refuses to bind to a public interface without an API key configured, so a misconfigured deployment can't accidentally become a public one.

The one place text crosses your network is the LLM provider you configure for inference and extraction. That is your choice: Anthropic, OpenAI, or a local model running inside your environment. Pick a local model and Maasv runs end-to-end inside your network. Pick a cloud provider and the specific calls you authorize go out under that provider's terms, for those calls only. Nothing else routes anywhere else.

  • Prompts designed to manipulate the model.
    A 22-pattern injection scanner runs on every write, plus 29 invisible and bidirectional-override codepoints stripped. Untrusted content is wrapped before it reaches the model.
  • Personal information flowing somewhere it shouldn't.
    A single classification gate covers every write path: email, phone, SSN, credit card, IBAN, routing, MRN. A skip policy doesn't just redact. It blocks the write. Nothing reaches the embedding or graph layer.
  • Access crossing team or role boundaries undetected.
    Tenant ID is a required filter on every database query, enforced at the repository layer. Per-source ACLs filter results post-query before they reach the agent. Seventeen adversarial tests, including a cross-tenant regression.
  • Changes to memory that no one can see or reverse.
    Every operation lands in a 39-action-type append-only audit trail. Corrections emit their own event; the prior state isn't overwritten.
  • Data drifting off your infrastructure through a back door.
    URL fetches are gated by an exact-match host allowlist. File reads are gated by a base-directory allowlist. HTTP and MCP surfaces share the same helper, so one can't be looser than the other. No "allow any" escape hatch.

Every piece of data can be exported or erased on request, under your own access. No tickets, no waiting.

Your data lives with you. Your inference runs where you say it runs. Those are the two questions that matter, and you hold both answers.

6
Retrieval signals fused for every query
7
Lifecycle stages, running continuously
4
Proactive trigger types out of the box
30+
Enterprise system connectors supported

Ready to see what your company knows?

Write to us. Tell us a little about your organization and what you're trying to see more clearly. We'll take it from there.

[email protected] Read the Maasv Brief