MIMIR
Discovery Engine
A proprietary, systematic platform for mispriced software assets — identifying hidden operational and structural upside ahead of market recognition.
The acquirer who wins arrives first.
“In distressed software M&A, the acquirer who wins is the one who arrives first.”
The conventional buyer's structural 6–12 week gap — quarterly 9fin alerts, manual PACER monitoring, restructuring banker relationships — arrives after the stalking horse bid is set.
Quarterly alert cycles mean deal intelligence is 60–90 days stale by the time it reaches the buyer.
Manual PACER monitoring is reactive. By the time a filing surfaces, the process is already structured.
Banker relationships channel flow to repeat buyers. First-time institutional acquirers get filtered out.
Machine coverage, human depth.
“Human analyst coverage is inherently bounded. An analyst monitors 20 companies with depth. MIMIR monitors the entire addressable market, non-stop.”
Six core detection engines.
Discovery Probability Score (DPS)
Proprietary 0–100 composite score, recalculated daily across all monitored entities.
Time-to-Event Prediction
Days-to-filing estimate with confidence range derived from signal velocity and tier weighting.
Deal Structure Modelling
9 transaction types modelled against 17 comparable transactions for structural fit analysis.
Compound Signal Detection
3+ independent signal categories in a 30-day window trigger elevated DPS and analyst alert.
PE Exit Pressure Scoring
Fund vintage year, hold period, and growth stall indicators combined into exit pressure index.
Archetype Classification
6 archetypes: Zombie SaaS, PE thesis exhaustion, churn cliff, debt wall, founder dependency, governance failure.
Five-tier intelligence stack.
| Tier | Volume | Sources |
|---|---|---|
| Tier 0 | 8 feeds | Gazette filings, EDGAR going-concern, PACER, Companies House |
| Tier 1 | 10 feeds | WARN Act, news sentiment, EDGAR RSS, 9fin, debt maturity, advisor appointments |
| Tier 2 | 8 feeds | LinkedIn headcount velocity, job boards, domain health, GitHub activity, PE mapping |
| Tier 3 | 16 feeds | Universe building, review sentiment, news synthesis across 5 sources |
| Tier 4 | 7 feeds | DPS calculation, PE exit scoring, recoverability, zombie detection, deal structure |
ARGUS
Named for Argus Panoptes, the all-seeing giant of Greek mythology
ARGUS is the AI analyst layer embedded inside MIMIR. It does not summarise news. It performs structured forensic analysis — signal triage, compound detection, archetype classification, and IC brief generation — at machine scale.
Top-1% domain knowledge across Chapter 7 / Chapter 11 (363 sales), UK Administration, CVA, Pre-pack, CCAA, and PE-sponsored distress structures. Zero hallucination tolerance — every claim requires cited evidence before it reaches the IC brief.
Four structural advantages.
Faster Sourcing
First-Mover Pricing
4–8 weeks before conventional acquirers. The stalking horse bid has not been set.
Higher Conviction
Multi-Signal Validation
43 independent feeds. No single-source dependency. Compound signal triggers.
Lower Execution Risk
Archetype-Driven Playbooks
6 archetypes mapped to 9 transaction types. Entry thesis defined at detection, not at LOI.
Repeatable Alpha
Signal Database That Compounds
Every run archived. Prior signals become training data. The edge widens with each cycle.
Platform by the numbers.
| Live data feeds | 43 |
| Signal lead time vs. public filings | 4–8 weeks |
| Jurisdictions covered | 5 (US, UK, Canada+) |
| ARGUS AI tools | 13 |
| API integrations | 58 |
| Deal structures modelled | 9 |
| Comparable transactions calibrated | 17 |
| Signal types | 18 |
| Acquisition archetypes | 6 |
Access MIMIR Feed
For qualified investors only.
Access MIMIR FeedMIMIR is a proprietary platform of Prytaneum Partners. For qualified investors only.
Contact: Chris Morino | [email protected]