Hero by Vivun
Sales Reasoning Model

Generic AI retrieves. Hero reasons through the deal.

The Sales Reasoning Model is what powers Hero. It works out the deal stage, the buying committee, and the methodology before it answers, so sellers get a next step they can act on and trace back to its source.

Same question, two answers
Generic AI
“How do we win this deal?”
Vector searchSnippet retrievalGeneral LLM
I found the following conversation on a call with [Sales Rep] about how they plan to win this deal this quarter. Covers the entire account, last 90 days.
No deal stage contextNo stakeholder awarenessNo methodology applied
Hero
“How do we win this deal?”
Understanding & retrievalReasoning & generationLanguage model
You can win the Acme Corp deal with these next steps, which have converted in 75% of similar opportunities. Sarah (CFO), Marcus (VP Eng), and Lisa (Champion) prioritize cost reduction and time-to-value. Address:
  • Price objection: re-anchor to the $2.4M efficiency outcome Lisa already signed off on
  • Security concern: share the SOC 2 Type II report Marcus requested last week
  • Timeline risk: propose a phased rollout, 2 teams in 30 days and the full org in 90
TranscriptsSlackEmailSFDC
The problem with generic AI

Most AI knows about sales. Hero knows your deals.

Generic AI can write emails and summarize calls. When a buyer pushes back or a deal turns, pattern-matching isn't enough.

It doesn't know your buying committee

Champions, economic buyers, influencers: generic AI can't tell them apart, let alone advise you on each.

It doesn't know your deal stage

Without context, it gives the right advice at the wrong time, and the deal loses momentum.

You can't verify it

If you can't trace why it said something, you can't trust it when it matters.

How it works

Five stages behind every answer.

Each time a seller needs context, the Sales Reasoning Model runs a structured sequence instead of a keyword search.

Stage 01 of 05

Understand the question

Performance by design

Structured knowledge keeps reasoning sharp, even at depth.

Every language model loses fidelity as a conversation moves further from the original prompt. Each follow-up question, new thread, or extended exchange is another hop away from the context you started with.

Hero's structured sales knowledge removes that falloff, so reasoning holds from the first question to the last.

~99%
With Hero

Mean reasoning fidelity with structured sales knowledge, regardless of how many hops from the original prompt.

~45pt
Without structured knowledge

The fidelity gap by hop 6, where complex B2B reasoning starts to fail.

Structured memory

Hero remembers what matters, and knows when it's changed.

Generic AI loses context between conversations. Hero keeps four memory layers so the right information surfaces at the right moment.

Short-term

The current conversation.

Deal history

Every call, signal, and shift across the full lifecycle.

Product & buyer knowledge

Stable context on stakeholders, products, and methodology.

Proven playbooks

Best practices as executable sequences, not static docs.

Current context always wins

When information conflicts, Hero surfaces what's recent and high-confidence, and marks older context as superseded. You respond from the current picture of the deal.

OutdatedBudget frozen due to Q4 headwinds
Email · 8 months ago · Superseded
Current · 94% confidenceQ2 budget approved for strategic investments
CEO call · 2 days ago · Primary source
Transparent reasoning

Every answer shows its work.

When AI decisions are opaque, trust breaks down. Hero ties every recommendation to where it came from.

Source attribution

Every insight is tied to its source: a call, a document, a CRM note.

Confidence scoring

Tell a strong signal from a weak one at a glance.

Auditable logic chains

Every recommendation is traceable, step by step.

Your data. Your advantage.

The intelligence Hero builds stays with you.

Some AI platforms use customer conversations to train shared models, so your competitive intelligence can end up sharpening someone else's AI. Hero doesn't work that way.

  • Fully isolated. Your data never enters a shared training pool.
  • Your edge compounds. The more Hero learns how you sell, the sharper it gets, for you alone.
  • Architecture, not just policy. No third party can access or transmit your data without explicit consent.

Other AI vendors

Your conversations train shared models.

  • Data goes to a shared training pool
  • Insights benefit competitors
  • Your advantage dilutes over time

Hero

Your data trains your AI, exclusively.

  • Dedicated, isolated environment
  • Zero data leakage
  • Your advantage grows privately
SRM vs. generic AI

Both retrieve information. Hero reasons through it.

CapabilityGeneric AIHero SRM
Knows the deal stage
Understands the buying committee
Applies structured sales methodology
Connects signals across the deal lifecycle
Remembers context between conversations
Source attribution and confidence on every answer
Keeps your data out of shared training
FAQ

Questions about the Sales Reasoning Model.

What is the Sales Reasoning Model?
It's the reasoning layer that powers Hero. Before answering, it identifies the deal stage, the stakeholders, and the active methodology, then connects signals across the deal to produce a recommendation with its sources attached.
How is it different from ChatGPT or other generic AI?
Generic AI retrieves text that matches a prompt and generates a response. The Sales Reasoning Model works out the context of the deal first, applies structured sales logic, and shows where each part of its answer came from.
What data does it reason over?
Your deal context, including call transcripts, email, Slack, and CRM data, along with product and buyer knowledge and your team's playbooks.
Does Hero remember context between conversations?
Yes. Hero keeps four memory layers: the current conversation, deal history, product and buyer knowledge, and proven playbooks.
How does Hero handle conflicting or outdated information?
When information conflicts, Hero surfaces the most recent, high-confidence source and marks older context as superseded.
Can I see why Hero made a recommendation?
Yes. Every insight carries source attribution and a confidence score, and every recommendation has a traceable logic chain.
Is my data used to train shared models?
No. Your data never enters a shared training pool. It runs in a dedicated, isolated environment, and no third party can access or transmit it without explicit consent.

When a buyer pushes back, have the answer in the moment.

See how the Sales Reasoning Model helps sellers respond with confidence.