Now in private beta
The company brain
for AI-native operations.
Ryvia connects every source of company signal into one auditable memory layer. Ask what is happening, see the evidence, and turn customer truth into roadmap decisions, approved actions, and agent-ready work.
Your company signal lives in fourteen places.
Slack has decisions. Calls have customer truth. Tickets have pain. GitHub has what shipped. Ryvia connects the trail and turns it into memory your team can audit and query.
Slack
Linear
GitHub
Notion
Gong
Intercom
Zendesk
HubSpot
Google Drive
Gmail
Pylon
Salesforce
PostHog
People
How Ryvia separates signal from noise.
The goal is not to summarize everything. It is to find the customer evidence, business context, and operational drift that should change what the company does next.
It starts with evidence.
Ryvia does not treat every message as signal. A request needs source text, a customer or account trail, and a clear reason it matters.
It ignores obvious noise.
Status updates, deploy notes, standups, thank-yous, and loose chatter stay out of the roadmap unless they connect to a real customer need.
It looks for repeated demand.
Similar asks get clustered across calls, tickets, docs, and Slack so teams can see whether one comment is a one-off or part of a pattern.
It weighs business impact.
Requests are connected to accounts, ARR, renewal risk, urgency, and roadmap status so the team can see what is important, not just what is loud.
It shows its work.
Every answer and recommendation keeps the receipt: the call, timestamp, document, ticket, PR, customer, and reasoning behind the claim.
Humans decide what happens.
Ryvia can draft the spec, ticket, reply, or PR, but customer-facing and code-changing actions stay gated until your team approves them.
What Ryvia keeps track of.
The brain is built from primitives your company can audit: signals, decisions, shipped work, patterns, and account context. Ryvia writes them down, links them to sources, and keeps them current.
Start here
01
Customer signals
Every call, ticket, thread, email, and doc — kept with the source.
Ryvia turns scattered customer truth into a living evidence layer. You can see the original words, the account, the timestamp, the owner, and the pattern it belongs to.
Layer
02
Decisions and the why behind them
Every approval, owner, rationale, and source package — saved for next time.
When a roadmap call gets made, Ryvia keeps the evidence and the human decision together. Six months later, the team can still see why one thing moved and another waited.
Layer
03
What actually shipped
The brief said one thing. The PR shipped another. Ryvia checks the match.
The software factory does not stop at a spec. Ryvia watches the pull request, tests, release note, and usage trail so engineering can review work against the original need.
Layer
04
Patterns across all your customers
Customer evidence becomes roadmap weight, not hallway debate.
Ryvia notices when requests, blockers, objections, and churn risks repeat across the business. Patterns become ranked opportunities with revenue, urgency, and source evidence attached.
Layer
05
Who you're talking to and what they care about
Walk into every review, account call, and planning meeting already briefed.
Ryvia keeps the account and team context operators need: contacts, objections, asks, prior commitments, usage, open risks, and how decisions get made. It can also brief a new hire on the decisions, customers, promises, and people they need on day one.
The brain stays current.
A company brain only works if it keeps learning. Ryvia tracks freshness, flags conflicts, updates customer context, and turns the latest operating memory into briefs your team can act on.
Workspaces get online fast
Ryvia creates the company workspace, captures the company profile, and connects the first source so the brain starts from real operating context.
Facts carry freshness
Customer risk, ARR, objections, promises, product requests, and skill candidates all carry freshness and confidence states so stale memory does not look current.
Conflicts go to review
When memory disagrees with new evidence, Ryvia opens a reconciliation path. Keep the old fact, accept the new one, keep both, or dismiss it with an audit trail.
Customer context updates from signal
Recent meetings and artifacts update customer behavior, motivations, objections, key contacts, and decision style without spending effort on accounts with no new signal.
Teams get the brief
Daily and weekly briefs pull together alerts, sprint drift, product clusters, pending approvals, promises, and new specs so operators know what changed.
New people can ask the company
A new hire can ask about customers, decisions, promises, risks, and the reason behind current work instead of chasing context across people and documents.
The shift
AI-native companies need memory, not another dashboard.
The models are good enough to help run real work. The missing piece is the company context they need to reason from: what customers said, what leaders decided, what teams promised, what shipped, and whether it worked.
AI agents can't help run
a company
they can't understand.
Ryvia gives operators, product teams, and engineering agents the same source-backed view of what the business knows.
Today
Most companies lose the plot.
A customer signal lands in a call. A decision happens in Slack. The rationale lives in someone's head. Engineering builds from a partial brief. Weeks later, nobody can prove why the work mattered.
The company is full of useful signal, but it is not structured enough to drive decisions or agent work.
With Ryvia
The company becomes queryable.
Every artifact becomes auditable memory. Teams ask the company what is happening, see the evidence, approve the next action, and send agent-ready work into the software factory.
Signal to memory. Memory to decision. Decision to action. Action to validation.
Scattered work becomes operating memory.
Ryvia reads every connected source and extracts the primitives that matter: customers, requests, commitments, decisions, risks, specs, shipped work, and validation signals. Every primitive keeps its receipt.
In
The trail your company already leaves.
- Slack threads
- Sales call transcripts
- Support tickets
- Notion + Drive docs
- Linear + GitHub
Brain
Structured memory with source links.
- Accounts — who said what, when
- Commitments — what we owe, by when
- Requests — clustered by evidence
- Risks — churn, blockers, drift
- Decisions — owner, evidence, rationale
Out
Decisions, actions, and validation.
- Ask the company, get cited answers
- Surface gaps before they become misses
- Draft specs from real evidence
- Approve actions before they leave
- Open PRs for engineering review
Ask the company. Get the receipts.
Middle managers should not have to hunt through six systems to understand an account, a sprint, or a roadmap call. Ask in plain English and get the answer with evidence, confidence, and freshness.
Answer
Maya committed to 12-month audit log retention and an S3 export sink before renewal. Engineering has a matching PR open. Two customer follow-ups still need approval.
How sure
- Confidence
- 0.92
- Last updated
- 6h ago
- Sources
- 3
Raw artifacts become company memory.
Ryvia keeps the human language and creates the structured layer beside it. Operators can reason from it. Agents can act from it. Everyone can inspect the source.
Raw signal — what people actually wrote
Slack · #sales-acme
“audit retention is a hard 12-month blocker for them”
Call · Northwind · Apr 12
“won't pass procurement without a year of access logs”
Notion · MSA draft v3
“§7.4: customer may export 12 months of audit events”
Structured memory — what teams and agents can use
Customer
Acme Corp
$180k ARR · renewal in 41d
Promise
12-month audit retention
owed by May 30 · made by Maya on call
Request
Audit log retention
11 customers asking · $320k waiting
Risk
Acme churn flag
3 negative signals in 14d
Show what needs attention, before it becomes a miss.
Ryvia watches commitments, roadmap evidence, account risk, sprint drift, and post-ship adoption. Alerts come with the evidence that triggered them and the next action ready for review.
Acme renewal risk is rising.
Three negative signals in two weeks. Renewal in 41 days. The promised retention work is in review, but the customer has not been updated.
SAML claim mapping is now roadmap material.
Twelve customers have raised it across calls and tickets. Six are in the target segment. Three lost deals mention it as a blocker.
Sprint work is drifting from the evidence.
The spec was approved for audit retention, but the active PR only covers export. Ryvia flags the gap before review.
Then the software factory does the work.
When humans approve the direction, Ryvia turns evidence into specs, hands them to the coding agent your team uses, opens reviewable PRs, checks tests, and validates the shipped work against the original need.
01
Cluster
Ryvia groups customer signal until it's a real pattern. Eleven evidence items, four customers, $320k waiting.
02
Spec
Drafts the spec from the cluster. Problem, success metrics, owner. Every line links to the call, ticket, or doc it came from.
03
Approve
A human reviews the direction, edits the spec, approves the handoff, or rejects it with a reason that gets fed back into the brain.
04
Write code
The approved spec goes to a coding agent — Codex, Cursor, Devin, or your own — with the full evidence packet attached.
05
Iterate
The agent writes code. Tests run. It iterates until the success metrics from the spec actually pass.
06
Gate the merge
A PR opens. Ryvia cross-checks the diff against the spec. Engineering reviews the code, then approves the merge.
07
Validate
After ship, Ryvia watches usage. Does the customer who asked for this actually use it? If not, that's a new pulse.
08
Tell the customer
Drafts a source-cited reply: 'You asked for this on April 12. It shipped today. Here's how to turn it on.'
Hands off to whichever agent your team uses:
CodexCursor agentsDevinClaude CodeYour ownNothing leaves your shop until you sign off.
The hard part of AI-native operations is not getting a draft. It is deciding what should happen next. Ryvia brings the evidence and the proposed action; your team keeps the judgment.
01
Evidence
The source package shows the call, ticket, doc, decision history, owner, and confidence.
- Acme call · Apr 12 · 14:08
- MSA draft v3 · retention clause
- 3 similar requests · $320k waiting
02
Proposed action
Ryvia drafts the next move: customer reply, roadmap ticket, spec, agent handoff, or PR review.
- Draft spec from evidence
- Assign platform owner
- Send to coding agent after approval
03
Human decision
Your team approves, edits, or rejects. That decision is saved with the evidence and improves the next run.
- Approve action
- Edit before send
- Reject with reason
Customer replies, roadmap tickets, specs, agent handoffs, and PRs all use this same review loop.
Every action your team approves can be replayed later with the evidence, decision, and result attached.
From a design partner
“For the first time, product, GTM, and engineering were looking at the same evidence. We stopped debating anecdotes and started approving the right work.”
Maya Kapoor
Head of Product · Northwind (38 people, Series A)
Stop guessing from fragments
Run the company from what it already knows.
Join the waitlist4 of 20 founding slots left.
One brain. Every surface your team uses.
Ryvia is not another place to maintain. It shows up in Slack, ChatGPT, Claude, Cursor, and your internal tools. Same memory underneath, same evidence trail everywhere.
Slack
/ask to query the company. Inline alerts where operators already work. Approval cards in DMs.
ChatGPT + Claude
The same company brain from the chat surfaces teams already use. Source-cited answers without copy-pasting context.
Cursor + your stack
Ryvia ships as an MCP server. Coding agents read company memory, write code from approved specs, and return PRs for review.
One operating loop, measured in minutes.
Ryvia notices new signal on the next ingest, reviews company alignment hourly, tracks agent work every two minutes, and validates shipped work as soon as the PR merges.
- 0 minAcme call · 14:08
Maya says audit retention is blocking renewal. Ryvia stores the request with the quote, account, owner, and deadline.
- +15 minMemory updates
Connector sync and ingestion bring the signal into company memory, linked to the account, MSA draft, similar tickets, and prior roadmap decisions.
- +1 hrRoadmap evidence clusters
The intelligence review ranks the opportunity with sources attached and flags the sprint work that is missing customer evidence.
- Same daySpec approved
Product and engineering review the evidence, edit the spec, and approve the agent handoff.
- +2 min after runPR opens
Factory monitoring picks up agent progress every two minutes. When a PR opens, Ryvia records it for review.
- On mergeShipped work validates
The GitHub merge event triggers post-ship validation against the original ask. A 10-minute fallback catches anything missed.
- Minutes laterFollow-up ready
The customer follow-up is ready for approval, and the decision, work, PR, and outcome remain auditable.
We're taking on twenty operators.
If your team has enough signal to know the right work is hiding in the business, but not enough structure to act on it reliably, we should talk.
Founding price. Hands-on setup. A company brain built around real operations.
- We connect your core company systems
- Weekly operating review with the founders
- Direct input on the memory and approval model
- Locked rate for two years
- Slack channel with product and engineering
- Priority support for software-factory workflows
Slots remaining
04/20
Twenty design-partner spots in the cohort. Sixteen are claimed.
Good fit if
- A B2B team with active customer signal
- Product, ops, GTM, and engineering in the loop
- A software factory workflow you want reviewed
Honest answers.
How is this different from search across our tools?+
Search finds passages. Ryvia extracts operating primitives — accounts, requests, commitments, decisions, risks, specs, PRs, shipped work, and validation signals — and keeps them current. The output is company memory, not a list of documents.
What if Ryvia gets it wrong?+
Every important claim carries source links, confidence, and freshness. Every write is approval-gated by default. If a draft is wrong, your team edits or rejects it, and that decision improves the next one.
Where does our data live?+
Single-tenant on AWS. Customer-controlled KMS keys on Enterprise. SOC 2 Type II in flight, Type I in hand. We'll sign your DPA.
Can we write our own skills?+
Yes. Teams can define repeatable workflows on top of the same company memory: account reviews, roadmap reviews, sprint checks, customer follow-ups, agent handoffs, and internal approval flows.
Why ship in Slack and ChatGPT and as an MCP server?+
Different teams live in different surfaces. Operators may ask from Slack, leaders may ask from ChatGPT, and coding agents may read through MCP. Same brain, different doorway.
Can it actually write code?+
Yes, after humans approve the direction. Ryvia turns source-backed evidence into a spec, hands it to the coding agent your team uses, opens a PR for engineering review, and checks the work against the original need.
Can it help a new employee get up to speed?+
Yes. The same memory layer can generate first-day and recurring briefs: active customer requests, open promises, recent decisions, important people, sprint context, and source links for every claim.
Does this replace our PM, our engineers, our CSMs?+
No. It removes the work that shouldn't have been theirs in the first place — chasing context, retyping evidence, writing the same status update three times. They get to do the thinking.
Make your
company
AI-native.
Connect the signal, build the memory layer, approve the work, and give your agents the context they need to help ship.
Join the waitlist
Reply within 24 hours. No sales call.