AI for SaaS companies, from the signup to the churn risk
A software company knows a great deal about each account and keeps it in six tools: the deal in HubSpot, the conversations in Intercom, the subscription in Stripe, the bugs in Linear, the usage in PostHog and the errors in Sentry. Memtro connects them so that one question about an account is answered from all of them, with every figure cited to its record, and so that what was decided about the product is remembered.
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Customers, usage, tickets, deals, code and the ledger answered from one memory, with every figure cited to its record.
The systems these questions draw on, connected to one memory. Every connector reads by default; the tools that change something are granted by name, per team.
What it looks like today
- 01Renewal risk shows up in support and usage before it shows up in the CRM.
- 02A customer asks when a bug will be fixed and the answer is in an issue tracker support cannot see.
- 03Why a feature was built the way it was lives in a Slack thread nobody can find.
- 04The weekly metrics are assembled by hand from four dashboards.
- 05Usage says what happened and the CRM says what was sold, and nothing puts the two side by side.
- 06A churn post-mortem is written from memory, because the signals were in four tools and nobody kept them.
What Memtro does about it
One memory in front of the systems you already pay for, reading by default and acting only where an administrator has granted the tool by name.
- Connect HubSpot, Intercom, Stripe, Linear, GitHub, PostHog, Mixpanel, Sentry and Slack, reading by default and acting where you grant it.
- Ask about an account and the answer joins the deal, the open conversations, the subscription and the usage trend, each fact cited.
- Decisions, owners and dates stated in chat and pull requests are kept as shared memory, so the reason behind the code is one question away.
- Memtro is an MCP server, so Claude Code, Cursor and OpenCode get the same memory and the same tools as the dashboard.
- Schedule jobs: accounts whose usage fell this week with a renewal in 60 days, new Sentry issues affecting paying customers, a Monday digest of MRR, churn and escalations.
System by system
What Memtro reads in each part of the stack, and what it may change there once the tool has been granted.
CRM and deals
HubSpot, Salesforce, Pipedrive, Attio or Close: deals, companies, contacts, notes and owners. HubSpot, Salesforce, Pipedrive and Attio can create and change records once those tools are granted by name.
Conversations
Intercom, Zendesk, Help Scout or Front: what an account has written in about, how long it waited, and a reply or an assignment when you ask and the tool has been granted.
Subscriptions
Stripe: subscriptions, invoices, failed payments, disputes and payouts, matched to the account and the people who use it.
Product usage
PostHog, Mixpanel, Amplitude, Segment and Google Analytics 4: events, active users and the trend that explains a renewal before the renewal call does.
Engineering
Linear, Jira, GitHub, GitLab, Sentry and Datadog: issues, pull requests, errors and incidents. Linear and GitHub can open an issue, comment on it and change its state once granted.
Where it was decided
Slack or Microsoft Teams, Notion or Confluence: the thread the decision was made in and the document it was written up in, searched together with everything else.
There are 144 connectors in all, each with its own tools, its own permissions and a page of its own. Browse every connector →
Who asks what
Founder
Asks one question across the company: MRR, churn, the accounts at risk and what engineering is actually working on, each figure traced to the system that holds it.
Customer success
Walks into a renewal knowing the usage trend, the open tickets, the bugs that affect that account and what was promised during the sale.
Product
Asks which customers asked for a thing and what they are worth, instead of counting mentions by hand across tickets, calls and issues.
Engineering
Gets the reason behind the code: the pull request, the issue and the thread where it was argued, kept as memory rather than rediscovered.
The renewal cycle
- 01
Signed
What was promised during the sale is kept as shared memory beside the deal, so the thing a founder agreed to in March is still findable by the person handling the renewal in September.
- 02
In use
Usage, tickets, bugs and invoices accumulate in their own systems. Nothing has to be copied anywhere: a question about the account reads all of them and says which it consulted.
- 03
At risk
A daily job flags accounts whose usage fell, whose payment failed or whose escalation is still open, with the renewal date and the owner attached.
- 04
Renewal
The brief is one question: the deal, the usage trend, every open issue and what the account was told about each, with the sources cited so the call can be argued from the record.
Ask it like this
Plain English, from chat, your editor, a scheduled job or your own agent. In agent mode each question also checks the other systems that know about the same people, companies and references, and the answer ends with a line per system consulted.
- HubSpot
- Intercom
- Stripe
- Linear
- GitHub
Every figure in the answer cites the record it came from, and the run ends with a line per system consulted.
- ›What did we decide about the retry policy, and who owns the billing migration?
- ›Is the export bug the Acme CSM asked about tracked in Linear, and what is its status?
- ›Which Sentry issues this week hit customers on the Enterprise plan?
- ›Which accounts have asked for SSO this year, and what is their combined MRR?
- ›What has changed for Acme since they signed: usage, tickets, bugs and invoices?
- ›Which customers are affected by the export bug, and have we told them?
- ›Summarise the reasons given by every account that churned last quarter
Work that runs itself
A job is a prompt the agent runs on a cron schedule as its owner, with their tools and connections. Say any of these in chat and the job exists; every run's report is kept in a chat you can question.
- schedule:Every Monday 07:00: MRR, new and churned subscriptions, open escalations and renewals due in 30 days
- schedule:Every day 09:00: accounts over £10k ARR whose weekly active users fell by a third
- schedule:Every hour: new Sentry issues on the production project, matched to the accounts they affect
- schedule:Every Friday 15:00: feature requests raised in tickets this week, grouped by theme with the accounts and MRR behind them
- schedule:Every day 08:00: subscriptions cancelled or payments failed overnight, with the account owner and the last conversation
Questions people ask
Can our own agents use it?+
Yes. Point any agent at the OpenAI-compatible endpoint or the MCP server and it gets the memory, the connectors you have granted and model routing, with one API key per person carrying their permissions.
Does it write to Linear or GitHub?+
When you grant it. Linear and GitHub can open an issue, comment on it and change its state; HubSpot can create and change records; Intercom can reply and assign; Slack can post. Each action is granted by name per team and runs only when a person asks for exactly that.
Which model does it use?+
Whichever you hold keys for. The auto model routes a lookup to a cheap model and an investigation to a strong one, and every answer says which model answered and why.
Does it need a warehouse?+
No. It reads the tools directly, so there is nothing to model first. If you do have a warehouse — Snowflake, BigQuery, Redshift, ClickHouse or Postgres — it is read the same way: schema first, inside a read-only transaction with a row cap and a timeout, and the SQL is part of the answer.
Can support see engineering's systems?+
Only what you grant. Permissions are per tool, per team: support can read Linear issues without being able to open one, and engineering can read the ledger without being able to change it. Somebody in two teams gets whatever either allows.
What happens to what we decide?+
Decisions, owners and dates stated in chat and in pull requests are kept as shared memory with provenance, and a correction supersedes the old fact rather than sitting beside it. Time travel reads memory as it stood on any past date, so what we knew in June is a question with an answer.
The same work, by team
The same connectors and the same memory, described through the job somebody does rather than the business they do it in.
- ProductHear what customers actually ask forFeature requests are scattered across tickets, call notes, Slack threads and issues. Memtro reads them where they live, links them to the customers who raised them, and remembers which decision closed each one.Memtro for product
- EngineeringKeep decisions from evaporatingDecisions, owners and deadlines are extracted from conversations and tool results into a typed, time-aware memory. Corrections supersede old facts instead of piling up next to them.Memtro for engineering
- SupportAnswer tickets with the whole company behind youSupport teams spend their day switching tabs: the ticket in Help Scout, the customer in the CRM, the order in the warehouse, the invoice in Xero. Memtro reads the ticket and does the switching for them.Memtro for support
Ask it about your own business
Connect the first two systems, ask the question you opened this page with, and see where the answer comes from. About five minutes.
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