First-pass models that
think like your firm
mixus encodes your templates, standards, and deal history into every model run. Consistent, reviewable output — not generic AI output.
Live in days, not months. 3–5 examples is all we need.
How it works
From your examples to a live standard
Four capabilities that encode individual expertise into a firm-wide modeling system.
Playbooks
Your review standards, automated
A playbook encodes how your team builds a specific model type — the intake questions, calculation methods, output format. Every run is consistent.
- Scoped per practice — VC gets different rules than M&A
- Versioned with full audit trail
- Every output traces back to a specific rule
- Structured intake turns associate judgment into parameters
Learning Loop
3–5 examples unlock a new workflow
Share a small set of completed models. The system extracts the pattern, runs live, and keeps improving as reviewers correct it — no retraining needed.
- Reviewer corrections captured as structured signals
- Signals compressed into concise, auditable rules
- Rules inject into every future run at inference time
- Knowledge persists when people leave
Capabilities
From pro formas to bespoke structures
Real .xlsx files with live formulas, multi-sheet layouts, and charts. Every output is validated before delivery.
- VC up-round cap tables with SAFE/note conversion
- M&A waterfalls — participating preferred, carve-outs
- Down-rounds, bridge financings, recapitalizations
- Built from your existing templates, not generic models
Institutional Memory
Gets better with every review
Corrections feed back into rules. Rules improve the next generation. When associates leave, the standard stays.
- First-pass model generated in minutes, not hours
- Consistent output regardless of who runs it
- Every decision traceable to a rule or playbook
- Firm standards embedded permanently — not in anyone's head
Rules are readable, auditable, and editable by your team.
Getting Started
Live in days, not months
Here's what we need and what you can expect.
Share 3–5 examples
Completed models, anonymized is fine. We extract the pattern.
We build the playbook
Intake flow, modeling standards, and agent configured within days.
Practice goes live
Associates run models. Each review makes the system better.
Mixus vs Claude
Models and diligence outputs—not only chat answers
You are used to Excel and decks that tie to the credit memo and the exceptions log. A chat-first tool can help with formulas or narrative, but stitching multi-hour work across artifacts is still largely on you. Mixus is aimed at long-running agents and firm standards so deliverables land where your team already works.
Word where lawyers already live
Review inside the document, not only beside it.
Playbooks and review discipline
Institutional standards, not one-off prompts.
Spreadsheets and memos as deliverables
Working Excel outputs, not only chat text.
Admin, monitoring, and org controls
Visibility for innovation and risk teams alike.
Includes narrative context, a capability matrix, and primary sources with a visible last-updated date.
Walk through it with us
We'd love to show you what this looks like on a real deal and discuss a rollout plan.