SaaS & product
The AI knowledge graph for SaaS and product teams
From customer call to shipped feature, one graph connects it all.
Fivo is an AI knowledge graph for SaaS and product teams. It links what customers say on calls and in support with what your team plans, builds and ships, and with what each customer pays. Ask “who asked for SSO and how much revenue is behind it?” and get the answer with its sources.
14 days of full Pro access. No card needed.
+100Why does a SaaS team forget why it built things?
Because the request, the debate and the decision happen in different tools, months apart. The customer asked on a call, the team argued in Slack and the ticket in Jira says “see thread”.
Where does customer feedback go to die?
Into call recordings, support tickets and a dozen Slack channels. Nobody can count how many customers asked for the same thing.
Why do roadmap debates go in circles?
Without evidence, priorities follow whoever spoke last or loudest.
Why does nobody remember why the spec changed?
The decision was made in a meeting six months ago, and the people in it have moved on to other work.
Why does customer success hear about launches from customers?
Product ships, but the context about who asked and what was promised never reaches the customer team.
What Fivo builds for you
What does Fivo track for a SaaS team?
| In your graph | Where it comes from | What you can do with it |
|---|---|---|
| Feature requests | Customer calls, Intercom, Zendesk | Count requests per feature, with the accounts behind them |
| Revenue per account | Stripe | Weigh each request by plan, MRR and churn date |
| Decisions | Meetings, Notion, Confluence, PR discussions | See why something was built, who decided and when |
| Work in progress | Jira, Linear, GitHub | Connect each request to the ticket and the PR that closed it |
| Bugs and known issues | Intercom, Zendesk, GitHub | Know what's broken, who is affected and what was promised |
| Churn and expansion signals | All sources | Get flagged on accounts evaluating alternatives, downgrading or asking for more |
How it works
How does Fivo build the graph?
Connect
Add your roadmap, code, support and billing tools, such as Linear, GitHub, Intercom and Stripe. Fivo joins customer and team calls itself.
Graph
Requests, decisions, tickets and customers become linked facts, each with a date and a source.
Ask
Ask in Fivo, or from Claude, ChatGPT, Gemini or your coding agent over MCP.
Integrations
The tools this vertical actually runs on
Connect one and the graph starts building from your next call.
- Linear
- Jira
- GitHub
- Intercom
- Notion
- Slack
Stripe
Zendesk
Confluence
HubSpot
Google Meet
Zoom
Productboard
Sentry
Figma
Your AI, with full context
How does Fivo give your AI and coding agents product context?
Your agents re-read docs, tickets and threads on every task. That burns tokens, and they still miss why things were built the way they were. Fivo gives them the decision, the customer requests and the revenue behind each feature as compact, sourced facts: about 250 tokens instead of 8,000. Agents spend their context on the work, not on searching for it.
- 87% fewer tokens per query
- ~250 tokens instead of ~8,000
- Under 1 second per answer
Example
In Claude Code, “Can we remove the legacy CSV importer?” Claude checks Fivo first: 3 accounts still use it, €40k ARR, and a promise to Acme to keep it until Q1.
Use cases
How do SaaS teams use Fivo every day?
Feature demand with revenue attached
Ask how many customers requested a feature and Fivo lists the accounts, their plan and their MRR from Stripe, with links to the calls and tickets where they asked. Prioritise with evidence, not volume.
Decision history for every spec
Each spec change is linked to the meeting or thread where it was decided, and to who was there. Six months later, the answer to “why is it like this?” takes seconds.
Support with full customer context
Support sees the customer's history, open bugs and any fix that was promised before replying. Customers stop hearing “let me check with the team”.
Release notes drafted from what shipped
Fivo drafts release notes from merged PRs and closed requests, and lists which customers asked for each change so CS can tell them.
Spotting duplicate work
Fivo flags when two people or squads are building overlapping things, before both ship.
Context for your AI coding agents
Over MCP, Cursor or Claude Code can ask the graph why a system works the way it does before changing it.
Ask your graph
What can you ask Fivo about your product?
Ask Fivo
“Who asked for SSO?”
Fivo answers
14 accounts, 9 of them on the Business plan, €212k ARR in total. The most recent ask came from Acme on Tuesday's call.
Ask Fivo
“Why did we drop CSV export from v2?”
Fivo answers
It was decided in the 4 March planning call (Ana, Jordi, Marc). The reason: low usage, about 3% of accounts, and a planned API instead.
Ask Fivo
“What did we promise customers for Q4?”
Fivo answers
Seven promises across five accounts. Two of them, bulk import and an audit log, aren't on the current roadmap.
Fivo vs the alternatives
Fivo vs a feedback tool vs a wiki
| Feedback tool | Wiki or docs | Fivo graph | |
|---|---|---|---|
| Captures requests from calls automatically | No, someone logs them | No | Yes |
| Links request → decision → ticket → PR | Partially | No | Yes |
| Keeps decision history | No | If someone writes it | Automatically, with the source |
| Answers questions in plain language | No | Search only | Yes |
| Works with your AI and coding agents | No | Limited | Yes, over MCP |
FAQ
Frequently asked questions
- Is Fivo a product feedback tool like Productboard?
- No. Feedback tools need someone to log requests. Fivo captures them from calls, Intercom and Zendesk automatically, and links them to decisions and the code that shipped.
- Does Fivo read our code?
- Fivo reads the conversations on your pull requests to link shipped work to customer requests.
- Can our coding agents use Fivo?
- Yes. Any MCP-compatible client can query the graph.
- Which tools does it connect to?
- Jira, Linear, GitHub, Intercom, Zendesk, Stripe, Notion, Confluence and HubSpot, among others.
- Is our data used to train AI models?
- No. Each company's graph is isolated and hosted in the EU.
- How much does it cost?
- Every plan starts with a 14-day trial with full Pro access and no card. See the pricing page for the current plans.
Updated 2026-10-11
The best day to start your graph was a year ago.
The second best is today. Connect Jira and Intercom, and by tomorrow you'll know who asked for what.
14 days. Full Pro access. No credit card.SOC 2, GDPR, EU-hosted