Origination Engine Active

The Automated
Deal Origination Engine.

Alpha is hidden in the narrative. Equip your M&A agents to read thousands of Strategic Reports, analyse shareholder demographics, and spot niche acquisition targets that structured databases miss.

View Origination API Docs

Stop reading PDFs.
Start querying them.

Traditional deal sourcing is broken. You filter by SIC code and Revenue, get a list of 5,000 irrelevant companies, and then spend weeks reading Annual Reports manually.

Zint indexes the entire document. We allow your AI Agents to query the unstructured text within Directors' Reports and Strategic Reviews. Don't just look for 'Software Companies'; look for companies that 'self-describe as transitioning to a SaaS model' in their latest filing.

NARRATIVE SEARCH ● Finding Alpha

Query: "Find companies mentioning 'Succession Planning' w/ Revenue > £5m"

MATCH FOUND ID: 09871234

"...the directors are currently implementing a succession plan to ensure stability..."

Turnover: £7.2m Director Age: 68

The "Deal Scout" Workflow

STEP 01: THE UNIVERSE

Hard Filters

Input: "UK Entities, Turnover >£5m, EBITDA >15%"

15,000

Candidates

STEP 02: THE ZINT EDGE

Narrative Search

Query: "Succession", "Retirement", "Family Owned"

200

Matches

STEP 03: DEMOGRAPHICS

Director Age Check

Filter: "Director Age > 65"

Qualified

STEP 04: OUTPUT

Target Shortlist

Off-market targets ready for outreach.

Targets

Proprietary Deal Signals

The "Silver Tsunami"

Find the exits before the brokers do.

QUERY Director_Age > 65
AND Standalone_Company == True
SIGNAL Succession Candidate

The "Hidden Pivot"

Spot the companies changing strategy.

SEARCH "Digital Transformation"
OR "Subscription Model"
SIGNAL Model Upgrade

The "Distressed Asset"

Catch falling knives safely.

QUERY Cash_Flow_Trend == Neg
AND Auditor_Comment == "Material Uncertainty"
SIGNAL Liquidity Crisis

Programmatic Sourcing.

Build complex origination agents that combine hard financial filters with soft narrative search. Automate the screening process entirely.

scout_agent.py


# Example: shortlist profitable logistics firms, then read the narrative

search_payload = {
  "sic_codes": ["49"],  # Transport and storage
  "revenue": {"min": 10000000},
  "ebitda": {"min": 1000000},
  "average_director_birth_year": {"max": 1961},
  "has_parent": False,
  "is_top_level_parent": True
}

shortlist = zint.search_companies(search_payload)  # POST /api/v1/search

account_context = zint.get_accounts_context({
  "company_number": shortlist[0]["company_number"],
  "sections": ["strategic_report", "directors_report"],
  "num_filings": 1
})  # POST /api/v1/context/accounts

Find the deals others miss.

Build the ultimate origination machine.

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The Automated Deal Origination Engine.

Stop reading PDFs.Start querying them.