Maverix Restructuring is an AI-native distressed debt advisory firm. Unlike traditional boutiques that depend on attorney referral networks to generate deal flow, Maverix finds clients before they call — using algorithmic signal detection to identify financially distressed companies and a systematic engagement engine to convert those signals into mandates.
The competitive moat is operational: Maverix's AI infrastructure allows a small team of senior bankers to carry more simultaneous engagements, produce better analytical work faster, and approach prospects with a level of sector intelligence that cold-calling boutiques cannot match. The cost structure advantage is not passed through as lower fees — it flows to the firm as margin, enabling profitable operations at deal volumes that would require two to three times the headcount at a traditional shop.
Distress is detectable before it becomes public. UCC filings, tax liens, court records, regulatory actions, and news signals all precede a company's decision to seek advisory help by weeks or months. The firm that arrives first — informed, credible, and with a clear sense of the path forward — wins the mandate. Maverix is built to always arrive first.
Continuously monitors public data sources — court records, UCC filings, tax liens, regulatory databases, news feeds — and scores each tracked company with a Distress Probability Score (DPS) from 0 to 100.
When a company crosses the Elevated threshold (DPS 41+), it triggers the Engagement Engine. The Signal Engine never sleeps, never misses a filing, and processes signals across dozens of companies simultaneously.
Takes the Signal Engine's output and executes the full engagement lifecycle: warm path analysis, intelligence package assembly, outreach sequencing and cadence management, meeting preparation, proposal drafting, and engagement launch.
Human bankers make every client-facing decision. The Engagement Engine handles everything behind the scenes — research, drafting, scheduling, tracking — so bankers spend their time on strategy and relationships, not administration.
The Signal Engine is a continuously operating distress detection pipeline. It ingests public data from multiple sources, matches signals to tracked companies, scores each company using a proprietary algorithm, and maintains a ranked pipeline sorted by distress severity.
Signal Engine v1 is operational. The following components are live:
| Band | Action | Owner |
|---|---|---|
| 0–20 Healthy | Monitor only. No outreach. | Agent |
| 21–40 Early Warning | Watchlist. Intelligence package starts building. Warm path scan begins. | Agent |
| 41–60 Elevated | Active outreach phase triggered. Banker review of intelligence package. Outreach sequence initiated. | Shared |
| 61–80 High Distress | Priority outreach. Banker personally reviews. Escalate approach if no prior response. | Banker |
| 81–100 Critical | Immediate action. Direct banker call. Any warm path connection activated now. | Banker |
The Engagement Engine is the operational system that converts a Signal Engine alert into a signed engagement letter. It manages the full lifecycle — from the moment a company crosses DPS 41 to the first client deliverable 10–14 days after signing — with agents handling all research and drafting, and bankers making every consequential decision.
The Engagement Engine never exposes its intelligence to the prospect. Outreach never references specific liens, lawsuits, credit events, or any company-specific signal — ever. The intelligence informs timing and targeting; it is never the content of any client-facing communication. This is non-negotiable.
When a company crosses DPS 41, the agent immediately begins two parallel workstreams:
Warm Path Network Scan — Cross-references the banker's LinkedIn connections, PitchBook/Crunchbase history, professional associations (TMA, ABI), deal history, and alumni networks against the target company's executives, board, investors, and lenders. A warm introduction converts at 5–10x the rate of cold outreach and eliminates the "predatory surveillance" perception risk entirely.
Company Intelligence Package — A comprehensive briefing document assembled entirely by agents: ownership structure, revenue estimate, signal timeline, capital structure estimate (from UCC filings), regulatory status, competitive landscape, and a preliminary restructuring path assessment. This is the banker's preparation material — it is never shared with the prospect.
Outreach is multi-channel with a defined 14-day cadence. The agent drafts every message; the banker personalises and approves before sending. If a warm path exists, the agent drafts the introduction request. If not, the cold sequence runs:
The agent manages cadence automatically. When the prospect responds, the automated sequence stops and the banker takes over directly.
The agent prepares: updated intelligence package, one-page meeting briefing (key facts, likely emotional state, recommended opening, topics to avoid), sector benchmarking data, conversation map (3–4 topics to steer toward), and a branded leave-behind sector piece. The banker runs the meeting — opening with market commentary, transitioning to guided discovery, then offering perspective on the path forward. Solutions come later; the first meeting is about establishing credibility and letting the prospect voice the problem themselves.
| Domain | Agents Handle | Bankers Handle |
|---|---|---|
| Signal Detection | All data ingestion, scoring, alert generation, pipeline ranking | Score band review, outreach prioritisation decisions |
| Approach Strategy | Warm path analysis, intelligence package assembly | Strategy review, approach method decision |
| Outreach | Message drafting, cadence management, sequence automation | Personalisation, send authorisation, all live conversations |
| Meeting Prep | All briefing documents, sector benchmarking, conversation maps | All meeting execution, relationship management |
| Proposals | Preliminary assessment drafting, engagement letter drafting | Fee negotiation, strategic recommendations, signing authority |
| Engagement | Financial model population, data room, creditor mapping, status reporting | All client-facing communication, negotiation, strategy |
| Compliance | DNC tracking, outreach cadence enforcement | Legal review, fiduciary obligations, sign-off on legal exposure |
| Metric | Target | Notes |
|---|---|---|
| Companies monitored (Year 1) | 200–500 | CPG Utah + 1 additional sector |
| Companies at DPS 41+ (pipeline) | 20–50 at any time | Elevated or above; active engagement candidates |
| Outreach sequences running | 5–15 simultaneously | Managed by Engagement Engine |
| Outreach-to-meeting rate | 20–30% | Warm path target; cold target 10–15% |
| Meeting-to-proposal rate | 40–50% | After diagnostic meeting |
| Proposal-to-mandate rate | 30–40% | Preliminary assessment as conversion tool |
| Overall outreach-to-mandate | 1-in-10 | Steady-state target; 1-in-30 acceptable in first 90 days |
| Time from signal to first touch | <48 hours | DPS 41+ triggers same-day preparation |
| Time from signing to first deliverable | 10–14 days | Complete diagnostic report to board |
Traditional restructuring boutiques are gated by three constraints: deal flow from attorney referrals, analytical bandwidth of junior staff, and the speed of manual research. Maverix removes all three:
The flywheel: Every completed engagement generates direct referrals, new warm path connections, improved scoring calibration, reusable analytical templates, and deeper sector expertise. Each engagement makes the next one faster, cheaper, and more credible. This is the compounding advantage that traditional boutiques cannot replicate.