Revenue Intelligence for commercial
decisions grounded in evidence.
Flunora consolidates meetings, emails, pipeline and the customer book into a single base. Artificial intelligence analyzes that context and identifies the risks, the priorities and the next step for every deal, with the source of every piece of information.
Wednesday, September 2
Good afternoon, Gustavo.What should we move forward today?
Today
Kickoff with Spotify
Camila Rocha, Spotify
Decision meeting with Vetra Logística
Dana Ruiz and Marcos Lima, Vetra Logística
Everything that happens in your revenue becomes one intelligence.
Every email, meeting, message and deal becomes a signal. Flunora represents all of them in the same space and reorganizes them by the question. That is where the AI gets its answers, always with the source.
Thousands of signals arrive from your tools every day.
| Field | Value | Source | Confidence | |
|---|---|---|---|---|
| 1 | What it does | LTL road freight in southern Brazil | Website, 3 pages | High |
| 2 | Size | 120 to 200 people | Website and news | Medium |
| 3 | Headquarters | Curitiba, PR | Website | High |
| 4 | Competitors | 3 identified | Similar-company search | Medium |
| 5 | News | 2 in the last 30 days | News search | High |
Know who the company is before the first contact.
Flunora reads the company's website and the public web and builds the profile: segment, size, headquarters, products, competitors and news. Every fact comes with its source and confidence.
A profile with a source on every field
Website read page by page, recent news and similar companies. Every field says where it came from and how reliable it is.
Prospecting lists kept apart
Spreadsheets are stored as they came. Only the names that deserve it enter the pipeline, linked to their source list.
Where every lead came from
Form, webhook, Meta Lead Ads, spreadsheet or email. You can compare conversion by channel.
| Field | Value | Source | Confidence | |
|---|---|---|---|---|
| 1 | What it does | LTL road freight in southern Brazil | Website, 3 pages | High |
| 2 | Size | 120 to 200 people | Website and news | Medium |
| 3 | Headquarters | Curitiba, PR | Website | High |
| 4 | Competitors | 3 identified | Similar-company search | Medium |
| 5 | News | 2 in the last 30 days | News search | High |
See what is blocking every deal.
After every meeting or email, Flunora records the decision criteria, objections, competitors and risks on the deal, tied to the words that support them. The pipeline shows what happened, not what someone remembered to type.
Meetings become data
Decision criterion, objection, competitor and risk land on the deal as fields, with the quote beside them.
Risk flagged with a reason
Absent decision-maker, stalled deal, overdue task or a competitor in play show up before they become a problem, with the reason written out.
Automations that do the work
A new contact, a stage change or inactivity triggers a task, an email, an alert or a stage change. Without relying on someone to remember.
| Deal | Value | Stalled for | Active risk | |
|---|---|---|---|---|
| 1 | Vetra Logística | R$ 48,000 | 6 days | Final decision-maker absent |
| 2 | Shopify | R$ 64,000 | 1 day | None recorded |
| 3 | Marés Engenharia | R$ 22,500 | 11 days | None recorded |
| 4 | Orbe Educação | R$ 9,800 | 2 days | Competitor under evaluation |
Know how much will close, and why.
Win rate, loss reasons and value by pipeline, period, source and campaign. Goals per person and time per stage. And an answer to any question about the operation, within the permission of whoever asks.
Loss reasons you can measure
Price, no decision, competitor, timing. A category, not free text: you can measure how many deals die without a decision.
Results by channel and campaign
Conversion and value by source and campaign, inbound against outbound, time per stage and conversion per pipeline.
Everyone sees what is theirs
A rep sees their own deals, a manager sees the team. Reports and the AI answer within the permission of whoever asks.
| Indicator | Value | Window | |
|---|---|---|---|
| 1 | Deals won | 18 of 41 | quarter |
| 2 | Largest deal won | Figma, R$ 120,000 | quarter |
| 3 | Most frequent loss reason | No decision, 5 of 23 | quarter |
| 4 | Inbound conversion | 12.4% | 90 days |
| 5 | Outbound conversion | 8.1% | 90 days |
| 6 | Ana R.'s goal | R$ 96,000 of R$ 120,000 | September |
Post-sale gets everything that was said in the sale.
When the deal closes, the account reaches customer success with the full story: what decided the purchase, the objections, the risks and the conversations. Renewal, risk and expansion are run on what was promised.
One story, from sale to renewal
Meetings, criteria, objections and risks from before the signature follow the account to the customer success team.
Organized incidents
Complaint, question, feedback and renewal, each with a date and an owner, on the account's history.
The health of every account
Onboarding, active, at risk or closed, with an owner per account and the history at hand for whoever serves it.
| Inherited from the sale | Records | |
|---|---|---|
| 1 | Meetings analyzed | 2 |
| 2 | Criteria that decided the purchase | 3 |
| 3 | Objections discussed | 2 |
| 4 | Risks identified before signing | 1 |
| 5 | Company dossier | 1, confirmed |
| 6 | Email conversations | 14 |
The AI prepares. You decide.
Aurora, Flunora's AI, reviews every deal against the company playbook, prepares the context before every meeting and carries out tasks within the permissions of whoever asks. Every external action, such as sending an email, waits for your approval, and everything is logged.
Deal reviews against the playbook
Criteria, objections, competitors and risks assessed by the company's rules, with the proof behind every conclusion.
Context before every meeting
Who the person is, what the company does, what was said, what is still pending. Ready before the meeting, with sources.
Actions with your approval
Creates tasks and notes and moves deals between stages. Sending an email needs your yes. Every action is logged per person.
| Action | Target | State | |
|---|---|---|---|
| 1 | Prepare context | Vetra Logística | delivered |
| 2 | Create task | Send the revised proposal, Ana R. | created |
| 3 | Schedule meeting | Notion, kickoff on Thursday | scheduled |
| 4 | Move stage | Marés Engenharia, to Negotiation | moved |
| 5 | Send email | Lucas M., revised proposal | awaiting your approval |
AI agents that work like your best team.
Each agent has a defined role, follows your company's playbook and speaks in your voice, over your own data: the lead that just came in, the book of business, yesterday's meeting. And every job leaves a result in the system with its source: the meeting proposed, the draft waiting for your yes, the record on the deal.
Every piece of information shows where it came from.
Nothing in Flunora appears without an origin: every field comes from something said, a page or a person who confirmed it. Sales, revenue and customer success work on the same facts, each seeing what their permission allows.
Nobody has to type it in.
Emails, meetings, research and stage changes come in on their own.
Every fact has a source.
A literal quote, a page or the person who confirmed it. Always one of the three.
The AI follows your rules.
Aurora reviews every deal against your company's playbook, with versioned and tested rules.
Your team has the final say.
What your team confirms or corrects is never overwritten by a new analysis.
One profile per company.
Every contact from the same company points to the same profile, with no duplicates.
Knowledge stays with the company.
What is learned about a customer belongs to the company that sells, not to whoever took the call.
Connects to the tools your team already uses.
Everything comes into one place, and alerts go out to where your team already works. All of them work today.
Conversations and email
WhatsApp
Chats and media from the team's number.
Gmail
The rep's emails, from their account.
Outlook
Outlook emails, from their account.
Calendar and meetings
Google Agenda
The day's events on the calendar.
Google Meet
Meeting with a link, recorded by Aurora.
Microsoft Teams
Meeting with a Teams link.
Lead capture
Meta Lead Ads
Every ad form becomes a lead.
Inbound webhook
A URL for your site to create leads.
Sales systems
HubSpot
Companies, contacts and deals in sync.
Pipedrive
Deals and activities in sync.
Team alerts
Slack
Alerts for leads, wins and stalled deals.
Microsoft Teams
The same alerts in a Teams channel.
Automation
Zapier
Events triggering a Zap.
Make
Events triggering a scenario.
n8n
Events triggering a workflow.
Tasks and docs
ClickUp
Tasks created by automations.
Notion
A briefing page for the contact.
AI and research
OpenAI
Assistant, analyses and transcription.
Claude
Meeting analysis.
Exa
Web research on companies.
Firecrawl
Reads the company's website.
It starts already knowing your business.
During onboarding, Flunora reads your website, builds the company profile and knowledge base and brings in the contacts your team already talks to. Our team sets everything up before the first login.
Profile from your website
What the company does, who it sells to, differentiators, pains and competitors, drawn from your own site and confirmed by you.
Knowledge base ready
The research becomes pages in the base: one about the company and one per website page read, ready for the assistant to cite.
Dedicated instance
Your own domain, your own brand, an isolated database encrypted at rest, with the feature set of your operation.
| Step | Result | |
|---|---|---|
| 1 | Website read | 5 pages, 15,212 characters |
| 2 | Company profile | built, 9 fields filled |
| 3 | Knowledge base | 6 pages published |
| 4 | Suggested contacts | 10, people the team already emails |
| 5 | Instance | own domain, isolated database |
Your data stays yours.
Flunora does not sell, share or use your data to train models. Each person sees only what their permission allows, and the AI answers within those same limits.
An isolated database per customer
Each company has its own instance and its own database. Nothing mixes with another customer's.
No action without your approval
The AI prepares, but sending an email or a message waits for your yes. Every action is logged, by person.
No model training
AI models are used through their APIs, which do not train on what they receive. Neither Flunora nor its providers learn from your data.
Encrypted in transit and at rest
Every connection goes over HTTPS, and data stays encrypted where it is stored.
Flunora is a product team obsessed with one question: what does your company know about each deal, and where is it.
