AstonixAI · Reception
Let me walk you through this one, from the problem to what we built.
Credit intelligence and lead pipeline
Daily credit-rating publications turned into enriched, ready-to-contact leads.
Before
- Hundreds of rationales a day
- Manual reading
- Unstructured documents
- Missed funding signals
After · One system
- Collect
- Extract signals
- Enrich
- Score
- Outreach
- Sector
- Finance
- Type
- AI Automation
01 — The story
From the problem to the system.
- 01 · The problem
What was broken
Analysts read hundreds of credit-rating rationales by hand every day, and signals of funding need were easy to miss.
- 02 · The challenge
Why it was difficult
The rationales are long, unstructured documents published every day across several rating agencies. The signals that matter are subtle and buried in financial language.
- 03 · What we built
The system
A pipeline that collects public rating data, reads each rationale with an LLM, enriches the company and drafts personalised outreach.
02 — How it works
Workflow, step by step.
- 01
New rating rationales are collected automatically every day
- 02
An LLM reads each rationale and extracts funding signals
- 03
Companies are enriched with financial and contact data
- 04
Scored leads and personalised outreach drafts reach the team
Next step
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