GROW AI

Relationship intelligence for B2B growth

Turn B2B relationships into a system.

GROW AI maps the people, posts, introductions and meetings behind your pipeline into one living graph. It tells you which accounts are warming, the warmest way in, and which touches earned the deal, with the evidence behind every answer.

▶ Watch the 24-second overview

sample workspace · relationship graph

Acme RoboticsCorvid SecurityKestrel GamesMarlowe RetailOrbital LabsPinecrest EnergyQuillstone BankSaffron FoodsTundra AnalyticsVantage MobilityDaniel ReyesMaya OkaforPriya Shah

3

events projected

0

relationships

−90d

time machine

01

Know who's warming up

Account-warming signals fire when several people from one account engage in a short window, so your team acts while interest is real.

02

Find the warmest way in

Ranked relationship paths from your team to the buyer, scored on strength, recency and role. One click shows the introduction or meeting behind every hop.

03

Prove what moved the deal

Compare last-touch with graph-assisted attribution on the same opportunity and see the relationship work that actually built pipeline.

Overview

GROW AI in 24 seconds.

One graph, the warmest way in, an agent that asks before it acts, and attribution that credits the relationship.

The product

Everything your team needs to grow through relationships.

Account intelligence

See which accounts are heating up, and why.

Stakeholders, engagement over time, open opportunities and live signals in one view. Every signal tells you what changed, why it matters and what to do next.

Account

Acme Robotics

14 interactions from 5 people in 14 days · discovery

96

warmth index

Weekly interactions, oldest → newest: 0, 3, 0, 0, 0, 1, 0, 0, 0, 0, 2, 5, 9
Warm path emergedAccount warmingExecutive engagementTopic resonance

Warmest path into Acme Robotics

Maya Okafor → Tomas Lindqvist

score 0.87 · built from an advisor's introduction and a meeting

relationship strength0.84
recency score0.89
source diversity0.67
role relevance1.00
engagement momentum1.00
Warm paths

The warmest way in, with receipts.

GROW AI ranks every route from your team to the buyer within three hops. Each score breaks down into strength, recency, source diversity, role and momentum, so reps trust the recommendation and know who to ask.

Coordinated campaigns

One theme. Three executive voices. Zero duplicate posts.

Give your CEO, sales leader and marketing leader distinct angles on the same narrative. Drafts are checked for overlap, forbidden claims and unsupported numbers before anyone approves them.

Campaign · “Reliability as a revenue lever”

CEO

vision

Reliability stopped being an engineering metric the day it started sh…

✓ 4/4 checks

VP Sales

field insight

Three conversations from the field this month.

✓ 4/4 checks

Head of Marketing

framework

A framework we use when reliability has to compete for budget:

✓ 4/4 checks

Ask What should we do next with Acme Robotics?
  1. ✓get people at company5 people at Acme Robotics
  2. ✓get account timeline12 recent events for Acme Robotics
  3. ✓find warm pathsBest path Maya Okafor → Tomas Lindqvist (score 0.87)
  4. ✓get opportunityAcme reliability platform: discovery, $84,000 (synthetic)
  5. ✓get campaign contextCampaign "Reliability as a revenue lever" targeting 6 accounts
  6. ⏸create crm notePaused: waiting for human approval. Nothing was sent.

Top recommendation for Acme Robotics: Maya Okafor follows up with Tomas Lindqvist directly. 2 more steps below, each linked to its evidence. 1 action needs your approval before anything leaves the system.

Growth agent

Ask “what should we do next?” and get an answer you can check.

The agent researches the account, the relationship graph, your CRM and campaigns, then recommends a sequence. Every step is visible, every recommendation cites its evidence, and nothing leaves your workspace without approval.

Attribution

Credit the relationship, not just the last click.

Switch between first touch, last touch, linear, time decay, position based and graph assisted. See exactly which touches counted, which were excluded, and why. Honest about what attribution can and can't prove.

Acme Robotics · opportunity credit

  • Ines Moreau liked a post3%
  • Lena Fischer introduced Tomas Lindqvist24%
  • Grace Wu commented on a post11%
  • Meeting: Acme reliability roadmap intro10%
  • Priya Shah replied to Grace Wu10%
  • Tomas Lindqvist commented on a post9%

Credit assignment, not causal proof. Top touches shown; weights over all eligible touches sum to 100%.

How it works

Live in four steps.

  1. 01

    Connect

    Import CRM contacts and deals, and connect Slack and your engagement sources. Every event is captured and de-duplicated.

  2. 02

    Map

    GROW AI resolves who is who across sources and builds your relationship graph automatically.

  3. 03

    Act

    Signals, warm paths, campaigns and the agent turn the graph into a clear next step for every account.

  4. 04

    Measure

    Attribution connects posts, introductions and meetings to opportunities and revenue.

Trust & control

AI that asks before it acts.

Security overview →

Human approval

CRM writes, scheduled posts and outbound messages always wait for a person.

Full audit log

Approvals, permission changes, integration changes and data repairs are recorded.

Encrypted credentials

Integration tokens are encrypted at rest and never written to logs.

Role-based access

Owner, admin, operator, member and viewer roles with seat management.

Questions, answered.

What data does GROW AI use?

Your CRM contacts and deals, meetings, Slack introductions and engagement with your team's posts. Everything is stored as an event history, so every score and recommendation can be traced back to what actually happened.

Does the AI agent act on its own?

No. The agent can research, plan and draft. Anything that leaves your workspace, like a CRM note, a scheduled post or a message, waits for a person to approve it, runs exactly once, and is written to the audit log.

How is this different from last-touch attribution?

GROW AI compares six attribution models side by side over the same touches, including a graph-assisted model that weighs warm introductions and repeated engagement. It always shows which touches were excluded and why, and it never presents credit as proof of cause.

How long does setup take?

Import your CRM contacts from CSV and connect your sources. The relationship graph, warm paths and signals build automatically from the events that come in.

Who is it for?

B2B teams where trust drives revenue: founders and CEOs building category authority, sales leaders looking for warm paths, and marketing leaders coordinating executive narratives and proving pipeline impact.

See your relationships as a system.

Walk through GROW AI with your team and see warm paths, coordinated campaigns and attribution on a live workspace.