JSE Listing Analysis Agent
The agent analyses pre-listing statements and prospectuses for JSE Main Board, AltX and other SA exchange listings. It extracts the financials, identifies regulatory and governance risks, benchmarks valuation against peers and brings everything together in a structured investment thesis for your committee.
Ideal forAsset management teams
The difference
From 3-4 weeks to 4-6 hours
Your team can assess more listings, meet management better prepared and give the investment committee a stronger recommendation within the offer window.
Done by hand
3-4 weeks
With the Vanine agent
4-6 hours
Time returned to your team
90%
Indicative figures. We measure your own baseline in the first fortnight so the numbers you see are yours.
Tight bookbuild windows
Listing timetables leave little room for weeks of document review. The agent gives your team a full first pass quickly so you can engage with the issuer and advisers early.
Governance and transformation in view
B-BBEE ownership, board composition, remuneration policy and King IV or King V application are extracted alongside the numbers, so nothing material is missed.
Committee-ready structure
Bull and bear cases, valuation ranges and key drivers arrive in a consistent format your investment committee can compare across deals.
Capabilities
From pre-listing statement to investment thesis in hours, not weeks.
Built for SA asset managers, cornerstone investors, corporate finance advisers, JSE sponsors and analysts assessing new listings.
Automated financial extraction
Pulls revenue, profitability, cash flow and growth metrics from pre-listing statements, prospectuses and historical financial information, normalising data across periods for trend analysis.
Risk factor identification
Extracts and categorises risk disclosures, flagging regulatory, competitive, operational, B-BBEE and market-specific risks that could affect valuation.
Comparable company analysis
Identifies JSE-listed and international peers, extracts trading multiples and calculates valuation ranges to benchmark the listing price.
Business model assessment
Analyses revenue streams, customer concentration, unit economics and competitive position to judge how sustainable and scalable the business is.
Management and governance review
Extracts executive backgrounds, board composition, remuneration policy, B-BBEE ownership and King IV or King V application to assess leadership quality and shareholder alignment.
Investment thesis synthesis
Consolidates the analysis into a structured thesis with bull and bear cases, valuation views and key decision drivers for your investment committee.
How it works
From your systems to a result you sign off
Start an analysis in Teams or OpenAI Frontier as soon as the pre-listing statement is published.
Connect the places your investment notes already live.
Pre-listing statements, prospectuses, SENS announcements, and peer data from your licensed market data sources. Already use something else? We connect that too.
- OpenAI Frontier
- Your own AI platform or models
- Microsoft 365 (Teams, SharePoint, Word, Excel)
- Copilot Studio
- JSE SENS and pre-listing statements
- Bloomberg, LSEG, IRESS (within your data licence)
- Your investment committee templates
Start an analysis in Teams or OpenAI Frontier as soon as the pre-listing statement is published.
Financial extracts and peer tables land in Excel and the thesis in Word on SharePoint, ready for your analysts to refine and present. The investment decision stays with your committee.
Step by step
- 01
A pre-listing statement or prospectus is published.
- 02
The agent extracts financials, risks, governance and business model data.
- 03
It builds a peer set and calculates valuation ranges.
- 04
It drafts a structured investment thesis with bull and bear cases.
- 05
Your analyst reviews and refines the thesis before it goes to the investment committee.
Deployment
Runs inside the tools your team already uses
The same agent and the same cited output, delivered three ways: through the AI assistant you have rolled out, on a model you host yourself, or inside your own software.
In the frontier assistant you already pay for
We publish the agent as an MCP server. Add it as a connector and your team calls it from the chat they use every day, with no new tool to learn.
"Extract five years of financials from the PLS"
- listing
- Main Board IPO
- peers
- 6
On a model you host yourself
Run the agent on open-weight models in your data centre or private cloud. Your investment notes never leave your network, which keeps POPIA and data residency straightforward.
- Llama
- Mistral
- Ollama
- or any OpenAI-compatible endpoint
Inside your own software
Trigger a run from your own workflows, and push the finished output into your ERP, GRC or reporting systems. We build the integration with your team.
- REST API
- Webhooks
- Batch jobs
- Embeddable review panel
Governed the same way, every route
Whichever way your team reaches the agent, identity, permissions and audit stay with your existing controls.
- Single sign-on through Entra ID, Okta or Google Workspace
- Reads only the documents each user is already allowed to open
- Every tool call written to an audit log you can export
How we deliver it
One agent, three ways to hold it
Start where your team already works, then take it as far into your systems as the value justifies.
DATA SECURITY & PRIVACY
Your investment notes stay yours.
The agent runs inside your tenancy, reads only what each task needs, and never trains on your investment notes. Every step is logged so your auditors can see exactly what it touched.
Built for regulated work.
+YOUR INVESTMENT NOTES NEVER LEAVE YOUR ENVIRONMENT
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Each one is built on the same foundation: your documents, your rules, and your people signing off.
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