Signals

Signal-Based Outreach
for CRE Lenders and Advisors

As former CRE fund managers, we use real estate transaction signals
and LinkedIn reach out automation to connect you only with active sponsors that fit your credit box and are ready to transact.

Our Approach

A Proven System
Built by Capital Allocators

We built an origination infrastructure that enabled our team to deploy capital across $650M+ in CRE transactions with only a few salespeople and a highly automated workflow. Today, we offer that same infrastructure as a fully managed service for CRE lenders and capital markets advisors.

Analyzing your ICP & segments…

ICP & audience review

Segment & market mapping

Ideal customer attributes

Outreach strategy outline

Analyzing your ICP & segments…

ICP & audience review

Segment & market mapping

Ideal customer attributes

Outreach strategy outline

Analyzing your ICP & segments…

ICP & audience review

Segment & market mapping

Ideal customer attributes

Outreach strategy outline

Step 1: Strategy & ICP Definition

We define your borrower profile around your credit box, not generic B2B criteria

We audit your lending programs, eligibility criteria, and target borrower profile. Based on that, we create an Ideal Customer Profile and build messaging aligned directly to your lending mandate - driving relevant, qualified sponsor conversations.

Asset Classes

Transaction types

Track record

Preferred locations

Purchase price range

Leverage

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Step 2: Sponsor Database Buildout

We build a high-quality sponsor database, not just names

We source and enrich sponsor profiles from CRE databases, LinkedIn, and public records. Each contact includes investment focus, recent deals, and verified emails - built around your lending or advisory criteria.

Website and LinkedIn parcing

Data Enrichment

Email Validation

Identifying investment focus

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  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

LinkedIn URL and Website Sending..

Profile Summary

Company Summary

Selling Angle

Posts

News

Acquisitions

LinkedIn URL and Website Sending..

Profile Summary

Company Summary

Selling Angle

Posts

News

Acquisitions

LinkedIn URL and Website Sending..

Profile Summary

Company Summary

Selling Angle

Posts

News

Acquisitions

Step 3: Signal Monitoring

We track CRE transactions
to know when to reach out

We monitor key CRE platforms and journals to track new acquisitions and to find the right moment to make contact - when sponsors are in an active phase and actually need capital or advisory support.

Closing date

Buying company

Location

Asset class

Purchase price

Key decision makers

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Step 4: Multichannel Outreach

We launch automated multichannel outreach your team controls in real time

We deploy automated LinkedIn and email sequences that mimic real 1-to-1 behavior and reach out to your pre-approved prospect list. Every message is personalized using the deal signals we identify, so your team receives only warm, relevant conversations instead of cold, generic replies.

Customized LinkedIn messaging

Email follow-ups

Fully automated sequences

Unified response dashboard

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All Tasks

Respond to customer

  • Page visited

    July 2nd

  • Post Liked

    in 30 minutes

  • Invitation Sent

    in 2 hours

  • Invitation Accepted

    July 5th

  • LinkedIn Message Sent

    in 15 minutes

  • Response received

    July 5th

All Tasks

Respond to customer

  • Page visited

    July 2nd

  • Post Liked

    in 30 minutes

  • Invitation Sent

    in 2 hours

  • Invitation Accepted

    July 5th

  • LinkedIn Message Sent

    in 15 minutes

  • Response received

    July 5th

All Tasks

Respond to customer

  • Page visited

    July 2nd

  • Post Liked

    in 30 minutes

  • Invitation Sent

    in 2 hours

  • Invitation Accepted

    July 5th

  • LinkedIn Message Sent

    in 15 minutes

  • Response received

    July 5th

Domain health

SPF/DKIM aligned

Email deliverability

Warm-up active

LinkedIn account

Status: Safe

Domain health

SPF/DKIM aligned

Email deliverability

Warm-up active

LinkedIn account

Status: Safe

Domain health

SPF/DKIM aligned

Email deliverability

Warm-up active

LinkedIn account

Status: Safe

Step 5: Automation Infrastructure & Deliverability

We manage the systems - so You Don’t Have To

We manage the full technical setup for you - domain warm-up, LinkedIn account health, and the complete automation infrastructure on our servers. You receive a fully operational outreach engine without adopting new software.

Email Deliverability

Domain Health

LinkedIn SSI

System Setup

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Case Studies

See How Smart AI Automation Scales CRE Deal Flow

Real results from commercial real estate firms using automation to boost outreach, speed up workflows, and grow revenue.

DRAG TO EXPLORE

DRAG TO EXPLORE

NY-Based CRE Debt Fund

"AI-driven forecasting cut inventory waste by 40% for TrailForge"

TrailForge, a suitcase brand, faced stock issues and inefficiencies. Our AI forecasting optimized inventory and production cycles, helping them save costs and deliver faster.

Impact :

40% increase in qualified active client

3x improvement in outbound response rates

Meetings booked with verified borrowers in core US markets

0 internal BDRs hired

NY-Based CRE Debt Fund

"AI-driven forecasting cut inventory waste by 40% for TrailForge"

TrailForge, a suitcase brand, faced stock issues and inefficiencies. Our AI forecasting optimized inventory and production cycles, helping them save costs and deliver faster.

Impact :

40% increase in qualified active client

3x improvement in outbound response rates

Meetings booked with verified borrowers in core US markets

0 internal BDRs hired

NY-Based CRE Debt Fund

“LinkedIn automation increased our active investor base by 40% in 6 months”

A New York-based private debt fund with over $100M in AUM needed a more reliable way to grow and engage with qualified CRE borrowers. We built and managed a targeted LinkedIn outreach system tailored to their deal criteria, geography, and capital strategy - resulting in a consistent pipeline of investor-ready conversation

Impact :

40% increase in qualified active client

3x improvement in outbound response rates

Meetings booked with verified borrowers in core US markets

0 internal BDRs hired

NY-Based CRE Debt Fund

“LinkedIn automation increased our active investor base by 40% in 6 months”

A New York-based private debt fund with over $100M in AUM needed a more reliable way to grow and engage with qualified CRE borrowers. We built and managed a targeted LinkedIn outreach system tailored to their deal criteria, geography, and capital strategy - resulting in a consistent pipeline of investor-ready conversation

Impact :

40% increase in qualified active client

3x improvement in outbound response rates

Meetings booked with verified borrowers in core US markets

0 internal BDRs hired

NY-Based CRE Debt Fund

"AI integration helped ScaleByte close 3x more deals in less time"

ScaleByte’s sales team struggled with follow-up delays. Our AI sales assistant automated outreach, lead scoring, and CRM updates—resulting in faster responses and more closed deals.

Impact :

40% increase in qualified active client

3x improvement in outbound response rates

Meetings booked with verified borrowers in core US markets

0 internal BDRs hired

NY-Based CRE Debt Fund

"AI integration helped ScaleByte close 3x more deals in less time"

ScaleByte’s sales team struggled with follow-up delays. Our AI sales assistant automated outreach, lead scoring, and CRM updates—resulting in faster responses and more closed deals.

Impact :

40% increase in qualified active client

3x improvement in outbound response rates

Meetings booked with verified borrowers in core US markets

0 internal BDRs hired

NY-Based CRE Debt Fund

"Automating 50% of operations saved 20% in costs in 2 months"

FinSolve, a financial services firm, was overloaded with repetitive tasks. By automating workflows and integrating data systems, they streamlined operations and significantly reduced overhead.

Impact :

40% increase in qualified active client

3x improvement in outbound response rates

Meetings booked with verified borrowers in core US markets

0 internal BDRs hired

NY-Based CRE Debt Fund

"Automating 50% of operations saved 20% in costs in 2 months"

FinSolve, a financial services firm, was overloaded with repetitive tasks. By automating workflows and integrating data systems, they streamlined operations and significantly reduced overhead.

Impact :

40% increase in qualified active client

3x improvement in outbound response rates

Meetings booked with verified borrowers in core US markets

0 internal BDRs hired

Benefits

What Makes Buildwise Different

CRE-native, signal-driven automation built by ex-CRE fund managers who’ve run origination for real lenders and advisors. No BS AI tools, just a system proven to work for growing CRE lenders and Advisors.

Consistent Deal Flow

Signal-driven outreach ensures a steady pipeline of active sponsors - not sporadic inbound or cold lists.

High-Intent GP Targeting

We enrich each sponsor profile with recent deals, asset focus, and capital needs - making every touchpoint relevant.

First-Mover Advantage

Our system triggers outreach the moment a sponsor enters an active deal phase - giving you the earliest shot.

Done-For-You Origination

We handle sourcing, enrichment, signals, and LinkedIn + email automation. Your team only steps in when a sponsor replies.

Scale Without Headcount

Automate research, list-building, and follow-ups - increase deal flow without adding analysts or BD staff.

CRE-Native Outreach

Outreach crafted by CRE experts, tailored to your mandate, and sent from protected
domains to keep your brand safe.

© All right reserved

© All right reserved