Capabilities · Deal Sourcing

Find the right deals, and stop losing the ones already in your inbox

Target lists built against your thesis, every inbound deal screened the same way, and your CRM kept current without the copy-paste.

Capabilities · Deal Sourcing

Find the right deals, and stop losing the ones already in your inbox

Target lists built against your thesis, every inbound deal screened the same way, and your CRM kept current without the copy-paste.

SEE IT RUN

What deal sourcing looks like inside Binocs

What goes in, what the agent does, and what your team gets back, with every figure linked to its source.

B
Deal intake agentInbox triage · CRM capture
OutlookSalesforceDealCloud
INPUTFwd: Project Atlas (teaser.pdf, CIM.pdf)
New opportunity created in SalesforceIllustrative output
FieldExtracted valueSource
CompanyProject Atlas (industrial services)Teaser p.1
Revenue (LTM)$84.2MCIM p.23
Adj. EBITDA$12.6M (15.0%)CIM p.24
FootprintUS Midwest, 6 sitesCIM p.9
Thesis fit82 / 100 · advance to screenMandate rules
<1 min
per deal from inbox to CRM, down from about 30 minutes. Live at a mid-market PE firm.
Every figure linked to its source

CLIENT RESULTS

Running at clients today

Client names withheld.

Inbox triage · CRM capture
US mid-market PE firm

Every inbound deal captured and scored the moment it lands

The problem. Deal flow landed in several partners’ inboxes, screening standards varied, and the CRM ran as a backlog.

  1. 1Detected teasers and CIMs in forwarded emails
  2. 2Extracted company, sector, revenue and EBITDA with page references
  3. 3Scored against the firm’s thresholds and wrote the record to Salesforce
OutputIllustrative
FieldValue
SectorIndustrial services
Revenue$84.2M
EBITDA$12.6M
Thesis fit82 / 100
<1 minper deal, down from about 30 minutes
Deal screening
Private credit firm

Configurable screening that surfaces the deals that fit

The problem. Relevant deals were spread across many sources and five sectors, and the team couldn’t read them all.

  1. 1Pulled deals from the sources the team already watches
  2. 2Scored each one against the firm’s own criteria
  3. 3Surfaced the fits each week, with the reasoning shown
100+relevant deals surfaced per week across five sectors

01

Target identification

Thesis-based target lists from a database of 2M+ companies, scored on fit and deal-ability, with decision-maker contacts and outreach ready to send.

Delivered through

Strategy Consulting

AI Deployment

Strategy Consulting

Target identification in New Jersey

Boutique investment bank

Days

from mandate to a shortlist with decision-maker contacts

The challenge: sourcing qualified targets in New Jersey across IT, healthcare and industrials took significant time using standard lists, and tight mandate criteria meant most names needed screening before they counted as real targets. What we did: built a focused target universe for the mandate and priority sectors, screened and prioritised targets on fit and actionability, compiled the right leadership contacts for each target, and drafted ready-to-send first-touch emails. The outcome: a clean, criteria-matched shortlist and executive outreach ready to send.

02

Deal screening

Every teaser and CIM screened against your criteria, with the reasons and red flags, so the bar doesn’t move from partner to partner.

Delivered through

AI Deployment

AI Deployment

Deal screening across five sectors

Private credit firm

100+

relevant deals surfaced a week

The challenge: relevant deals were spread across many sources and five target sectors. What we did: set up configurable screening against the firm’s criteria, across five sectors. The outcome: 100+ relevant deals surfaced every week for the team to review.

03

CRM integration

Forward a teaser and it lands in DealCloud or Salesforce with the key fields filled in and a first score, each field traced to its page.

Delivered through

AI Deployment

AI Deployment

Every teaser into the CRM, scored

US mid-market PE firm

Under 1 min

per deal, down from about 30 minutes of manual entry

The challenge: deal flow landed in several partners’ inboxes with no shared record of what had arrived, screening standards shifted from partner to partner, and the CRM ran as a backlog. What we did: the deal team forwards a teaser or CIM to one address with no form or setup; company, financials and a first score are written straight to the CRM record; every field traces back to the page it came from, and the score runs against thresholds the firm sets. The outcome: under 1 minute per deal, with 95%+ field accuracy.

Tell us what you’re working on

Book a 30-minute demo, or ask us anything about the portal, AI deployment or our consulting work.

Tell us what you’re working on

Book a 30-minute demo, or ask us anything about the portal, AI deployment or our consulting work.

Binocs

Binocs builds AI research tools and runs strategy projects for private equity firms and consultants.

United States

Binocs Labs Inc., 311 Washington Street, 6B, Jersey City, NJ 07302

India

Binocs Labs Pvt Ltd, Indiqube Omega, ITPL Main Road, Brookefield, Bengaluru 560048

AICPA SOC 2 badge

SOC 2 Type II audited

© 2026 Binocs Labs Inc.

Binocs

Binocs builds AI research tools and runs strategy projects for private equity firms and consultants.

United States

Binocs Labs Inc., 311 Washington Street, 6B, Jersey City, NJ 07302

India

Binocs Labs Pvt Ltd, Indiqube Omega, ITPL Main Road, Brookefield, Bengaluru 560048

AICPA SOC 2 badge

SOC 2 Type II audited

© 2026 Binocs Labs Inc.