About AxonIR.
Built by an operator. Designed for the moments when filing language and algorithmic readability decide whether a SPAC closes a deal or liquidates, and whether a post-de-SPAC pubco holds its ground in Year 1 or loses 60% of market cap.
Why this exists
Most SPAC IR work is overpriced ($25K-50K/month) for what's effectively boilerplate. The DIY alternative is a CFO with Excel and a few peer benchmarks pulled from spacresearch.com. Neither approach matches the algorithmic readability layer that institutional readers actually use to score disclosures.
In 2024, when we ran the IR cycle internally at AIRE / reAlpha (a SPAC vehicle), we built the scoring methodology that became AxonIR. Every PR cycle ran through algo readability + sentiment + peer-benchmark before publication. Composite lifts from 5.6 to 6.8 over 4 filing cycles.
What we do
We score public filings against the same composite institutional readers (algo parsers at BlackRock IBKR, Refinitiv, Bloomberg) use to read disclosures. We tell you what to fix before you publish.
Concretely
- Monthly Sample Test Report (8 pages, scored against current and prior 4 quarters)
- Pre-publication scoring on every press release, 8-K, 10-Q, DEFM14A, S-4 amendment
- 12-criterion IR site audit (quarterly refresh)
- 30-minute monthly correction call
What we don't do
- Investment advice
- Securities trading
- Proxy solicitation
- File on your behalf
- Handle MNPI (we work from public filings only)
Who's behind it
Tejune Kang — Founder / CEO
Operator background spanning beauty, technology, public markets. Former CEO of a NASDAQ-listed company. Founder of multiple operating companies including Atypical Global Inc (US sourcing/trade), Atypical Beauty (B2B beauty trade network with 632 brands and 330 buyers), Heirloom (legacy preservation platform), and AxonIR (this company).
YPO member. Singularity University alum. Built the AIRE / reAlpha precursor to AxonIR's algorithmic IR methodology. Lives at the intersection of operator experience and product building.
Our thesis
1. Algorithmic readability is the silent floor of public-market valuation.
Most CFOs don't know they're being scored this way. The ones who do know — sponsors at Inflection Point, Artius, Perceptive — have the bandwidth to invest in IR but lack the algorithmic-readability layer specifically.
2. The SPAC-to-pubco transition is the highest-leverage IR moment that's actively undermanaged.
Post-de-SPAC Year 1 sees average 60-70% market-cap decline. Algorithmic readability is one of the corrective levers, and it's the cheapest one to execute.
3. Monthly cadence beats one-shot consulting.
Composite scores compound across 4-8 filing cycles. Single-engagement IR work cannot deliver that compounding. Subscription IR can.
How we operate
- Entity: AxonIR Operations, LLC (Delaware). Atypical Global Inc parent.
- Insurance: E&O + Cyber + GL bound through carriers including Vouch / Embroker / Coalition.
- Compliance: Not a registered investment advisor, broker-dealer, or proxy solicitor. We score public filings; we do not trade securities. Customers retain all decisions.
- Pricing posture: Founding Partner pricing is loss-leader for first 5 SPAC slots; Track B Pubco is recurring revenue at fair market price.
- Operating cadence: Monthly Sample Test Report (3-day SLA), pre-publication scoring on demand (24-hour SLA), 30-minute monthly correction call.
Where we're going
- 2026 Q2-Q3: Founding Partner cohort closes (10 slots). Sample Test Report cadence locks in. First 3 case studies published.
- 2026 Q4: Standard tier opens. Multi-vehicle Enterprise tier accepts first sponsor family.
- 2027: Algorithmic-IR API for institutional clients (read-only at first). Vertical-tuned scoring for life sciences, critical minerals, AI / quantum.
- Long term: Become the algorithmic-IR vendor of record for the SPAC ecosystem and the post-de-SPAC pubco cohort.
Contact
Founding Partner cohort applications go through the form. Sales conversations and partnership inquiries: hello@axonir.ai.