Hero is a product of Vivun. Vivun is secure and compliant. SOC 2 Type I SOC 2 Type II ISO 27001 GDPR ISO 42001

Claude helps you build. Hero helps you sell.

You're all in on AI.
But what you're building right now won't get you to your goals. Stop and see what good looks like: the seller layer is already built, and it works with the Claude investment you've already made.

See what Hero handles How it works →

Trusted by revenue teams at

call Live call

forum Prospect asks

"How are you different from the AI tools we already use?"

The setup

When a hard question comes up on a call, what happens?

Hero gives you the answers.

Sales leaders see AI as a conduit to their success.
Building a solution is different from getting value from one immediately.

Here are the gaps you may not considerarrow_forward

01

graphic_eq The live call

Claude isn't on the call.

The prospect asks the question now.
Claude answers when you can get to a prompt.
Hero's Whisper is there in the moment, discreetly, before the silence gets awkward.

bolt 7 real-time assists per call on average

Live call 18:42

Prospect

"How does this handle SOC 2 for our EU data?"

H Hero Whisper now

Yes — SOC 2 Type II, with EU data residency. Offer to send Marcus the report.

02

hub Deal context

Claude doesn't know your deal.

It hasn't heard the last three calls.
It doesn't know which stakeholder went quiet.
Hero holds the full deal, and through MCP, so does your Claude.

03

psychology Sales reasoning

A general model makes general calls.

Answer, deflect, or "let me get back to you" is a judgment call, made live, in under three seconds.
Hero's Sales Reasoning Model is trained on your products, process, and competitive landscape to make it.

Retrieval

Generation

Input Prompt

“How do we win this deal?”

Vector Search

Matches transcript chunks to the prompt

Snippet Retrieval

Pulls related snippets

LLM

General Language Model

LLM’s Response

Here’s a past call where the rep talked about winning this deal.

No deal stage, stakeholders, or methodology

Understanding & Retrieval

Reasoning & Generation

Input Prompt

“How do we win this deal?”

LLM

Language Model Processing

Hero’s Response

To win Acme Corp — next steps that closed 75% of similar deals:

• Price → Re-anchor to the $2.4M outcome Lisa signed off on
• Security → Send Marcus the SOC 2 Type II report
• Timeline → Phase it: 2 teams in 30 days, full org in 90

Transcripts Slack Email SFDC

04

update Fresh knowledge

Your pricing changed Tuesday.
Does your AI know?

Keeping a general model current on products, competitors, and market shifts is a standing engineering job.
Hero's knowledge updates like you'd brief a teammate, in minutes, with no pipeline to maintain.

campaign Pricing update · Tuesday

Enterprise tier moves to usage-based. New EU data-residency add-on is live.

H Hero Knowledge check_circle

Updated 3 minutes ago

bolt Ready for live calls

05

What it takes

Standing it up is only day one.

Live transcription, real-time orchestration, persistent deal memory, continuous evals.
And the work never actually finishes.

90%

of sellers using Hero recommend it verified UserEvidence verified

To build it yourself $300–600K

Then to run it $32–46K/mo

06

The takeaway

Claude builds.
Hero sells.

The seller layer, already built:

checkLive-call assistance
checkFull deal context
checkSales-specific reasoning
checkKnowledge that stays fresh
checkConnected to Claude through MCP
checkLive in days, not months

constructionIf you set out to build the best sales teammate that ever lived in Claude, you'd end up building Hero.
That work is done.

Live call assisted 12s ago

Objection handled

Deal context synced 1m ago

Stakeholder update captured

Follow-up ready just now

Next step drafted

07

Hero and Claude, together

Builders work in Claude.

Sellers work in Hero.

co_present psychology Sales reasoning

Before the call

Prep against the real deal.

Prep and role-play against the real deal.
Hero's context flows into Claude through MCP, so wherever the seller preps, the deal is already there.

record_voice_over graphic_eq The live call

During the call

The moment no other tool reaches.

Whisper delivers discreet, real-time answers while the conversation is live.
7 assists per call on average.

task_alt hub Deal context

After the call

The work's done before you sit back down.

Follow-ups drafted, CRM updated, summary done.
Work in Hero or work in Claude.
The context is connected either way.

What building it yourself actually costs

The numbers behind running an AI teammate in production, out in the open.

construction

Build

$300–600K

Live transcription, real-time orchestration, persistent deal memory, and continuous evals, built to production standard.

payments

Run

$46–90K / mo

Inference, evaluation runs, and the engineering time to keep it current, at real production volume.

all_inclusive

Commitment

No finish line

Launch day is day one. Someone owns knowledge, evals, and governance every year after.

Figures reflect Vivun's engineering analysis of building and running an AI Sales Teammate at production standard.

The future of sales is AI-powered.
Hero is how sellers get there.

Hero on the call

The right answer, at the exact moment.

Watch one late-stage call. Every time the deal wobbles, the intelligence is already there.

Final review · Northwind Health

Priya · CHRO

Chad · AE

Priya ·

Hero Listening

Detected

Best move

Deal momentum0%

Intelligence: Sales Reasoning Model · Deal context: Hero

Verbal commit

You

Try Hero free Book a 20-min walkthrough

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graphic_eq The live call

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Claude helps you build. Hero helps you sell.

When a hard question comes up on a call, what happens?Hero gives you the answers.

Claude isn't on the call.

Claude doesn't know your deal.

A general model makes general calls.

Your pricing changed Tuesday.Does your AI know?

Standing it up is only day one.

Claude builds.Hero sells.

Straight from the field.Before, during, and after the call.

Builders work in Claude.Sellers work in Hero.