The context layer for your AIs

Fivo builds a context graph of your entire company and connects it to your AI systems, so your AI knows your business, burns fewer tokens, and optimizes how your team works.

Start free trialConnect your AI
Monthly graph requests
2.4M
Monthly tokens processed
1.8B
Per answer
<1s
Fewer tokens per query
87%

Used across 20,000+ companies cutting AI costs and raising output

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GameloftPaddleEmbatteam.blueAirtableAmplitudeFigma

The technology

Not a search engine. A context graph.

Connecting your tools to AI isn't enough: on every question it re-reads entire transcripts and documents, and you pay for it every time. Fivo understands them once, at ingest, and serves facts instead of walls of text.

L1 Extraction

Every tool in your business (calls, messages, tickets, docs, CRM) is processed once, on the way in. People, commitments and decisions are identified, and “Juan”, “@jgarcia” and “the CTO at Acme” become the same person.

L2 Graph

Every fact carries when it happened and how confident we are. The graph knows what still holds and what has changed. Nothing lost, nothing duplicated.

one isolated graph per user or company, daily ingested

L3 Reasoning

Fivo works across the whole graph all day: overdue commitments, churn signals, decisions with no follow-up. They surface on their own, so no one has to ask.

always running, the 24/7 consultant

L4 MCP

Your Claude, ChatGPT or Cursor asks for context and gets ready-made facts: ~250 tokens instead of 8,000. No re-reading, no re-explaining.

A Smarter Stack Starts With Smarter Context

Traditional AI systems react only when you ask. Fivo AI Graph continuously understands, connects and remembers your data, cutting token usage, latency and repeated processing while creating more value with every interaction.

claude + standard mcp

// raw transcript search
search_transcripts({
query: "Juan proposal"
})
 
// 47 pages of raw text
// parse it all, every time
// no cross-session context
cost: ~8,000 tokens

claude + fivo mcp

// structured knowledge retrieval
get_person_context({ name: "Juan García" })
 
role: "CTO", company: "Acme"
status: "hot_prospect"
pending: ["send_proposal_by_friday"]
signal: "evaluating_alternatives"
confidence: 0.91
// persistent, cross-session memory
// cost: ~200 tokens

One graph, every AI

Every AI you use reads from the same graph.

Claude, ChatGPT, Gemini, Copilot or your own agents connect over MCP and get the same facts, each with its source.

Fivo Brainlive

Nodes 333Relations 810
AIMCP
Fivo Context Graph<1s~200 tokens
Create your graph free

Free trial, no credit card. Your first tool connects in minutes.

One product. Every conversation.

Everything your company knows, in one place your AI can read.

Capture

Nothing said out loud gets lost. Note-taker AI, screen recording, in-person talks, doc files

Integrations

Your tools feed it on their own. Notion, Jira, Slack, GitHub and more

Knowledge Graph

Memory that compounds instead of decaying. Node creation and persistent memory

Fivo Consultant

A daily audit nobody has to run. Daily audits and proactive insights

ClaudeChatGPTGemini

Native MCP

Plug in the AI you already pay for. Claude, Gemini, ChatGPT or any LLM

The same question, 90 days apart

“What do we know about Kestrel before the call?”

Day 1

A cold email in October and a meeting that was never written up.

1 source · 11,200 tokens read

Day 90

Seen twice: intro from Lucas Marín in October, then a call where they quoted €40k MRR. Two of our portfolio companies already buy from them.

4 sources · 1,344 tokens read
Synced 2h ago88% fewer tokens, for a better answer

Memory compounds

Every day, your company becomes more memorable, efficient, and autonomous.

Most tools stay static. A graph compounds with every meeting, integration, and answer.

Try it free for 14 days

Use cases

One brain. Every team reads it back as intelligence.

Your tools feed the graph. Your people and your agents query it.

  1. Agencies & consultancies
  2. Sales teams
  3. SaaS & product
  4. Coaches & educators
  5. Venture capital
  6. Recruiting & staffing

Ask Fivo

“What did we promise Vantor at kickoff?”

Fivo answers

  • Weekly reporting, agreed with Elena Pardo.

    Kickoff · 12 Mar

  • Scope covers two brands, not three.

    Proposal v3 · Drive

  • They asked to move the Thursday call.

    #vantor · 3 weeks ago

  • Token savings
  • MCP native
  • Any model

Trust & security

Secure by design, audited by others.

Your graph only shows what each person could already see in each tool. Encrypted in transit and at rest, and never used to train models.

Read our security policy

  • ISO 27001

    Certified

  • SOC 2 Type II

    Independently audited

  • GDPR

    Compliant · LOPDGDD

The best day to start your graph was a year ago.

The second best is today. Connect one tool and it starts compounding tonight.

Get started now

14 days. Full Pro access. No credit card.SOC 2, GDPR, EU-hosted