Patterns logoPatterns
Floral fractal

The execution agent
for deal teams

Close more—without more headcount. Generate analyst‑grade deliverables across the deal process, from teaser to close.

Introducing Patterns

What We Do

We create your deal deliverables from your templates—Excel models, PowerPoint slides, comp tables, buyers lists, and IC memos—and write them back to Excel, PowerPoint, and your CRM.

Heatmap gradient

How It Works

1
Ingest
Connect XLSX, PPT, PDFs, data rooms, and SQL. Bring your templates.
2
Execute
The agent follows your playbooks to extract, compute, and assemble pages with cited sources.
3
Deliver
Outputs flow back to Excel, PowerPoint, and CRM with diffs and reviewer gates.

AI

Our core technology is an agentic research platform that integrates reasoning LLMs with a data layer—built to compute across Excel, SQL, and Python and write results back to your files.

Patterns platform interface showing AI-powered deal execution workflow
Patterns platform interface

Services

We pair the platform with hands‑on help so your team sees value in week one.

Onboarding — connect data, import templates, set playbooks.
On‑demand execution — hire us to generate deliverables for live deals.
Enablement — short workshops for analysts and reviewers.
Success — Slack support; optional 24/7 during live windows.
Engagement — base subscription + usage; reserved capacity for peaks.

Capacity & Throughput

See how agent assistance changes throughput. Adjust the parameters below to understand capacity gained and extra deals you can run with the same team.

Typical range: 10–40h
Active or diligence‑stage
Work handled by agent
Monthly Hours
120
Baseline analyst hours
Hours Saved
36
Capacity gained
Extra Deals
2.6
Additional possible

Calculator estimates vary by deal scope, templates, and review processes.

Traditional vs Agentic

See the difference between traditional deal execution and our agentic approach.

OLD vs NEW

Infinite scale,
expert validation,
instant impact.

Speed to deliverables
Weeks to workforce
Manual research and data entry
Slow Excel modeling and formatting
Multiple revision cycles
Minutes to live
Bring your existing templates
Instant process execution with natural language
AI-powered research and analysis
Quality & accuracy
Human error prone
Manual data transcription mistakes
Inconsistent formatting and analysis
Limited time for thorough review
Expert accuracy
AI + human verification loop
Every decision audited with sources
Consistent output quality across deals
Scale & capacity
Capacity-constrained delays
Slow turnarounds during peak periods
Seasonal resource bottlenecks
Limited parallel processing
Instant speed at infinite scale
Operate 24/7 without breaks
Handle unlimited complex tasks in parallel
No capacity constraints during deal flow peaks
Cost structure
Fixed labor overhead
Expensive idle capacity during slow periods
Inflexible cost structure
High hiring and training costs
Performance pricing
Pay only for results delivered
Scale without adding headcount
Predictable per-deliverable pricing

Access & Security

Where it runs

Cloud, private cloud (VPC), or fully air‑gapped on‑prem. Pick the environment that matches your firm’s requirements.

Which models

Use leading cloud models (GPT‑4, Claude, Gemini), dedicated private endpoints, or open‑source models for maximum control.

Controls & compliance
  • SOC 2 Type II and ISO 27001 programs
  • Encryption in transit and at rest
  • SSO/SAML, RBAC, least‑privilege
  • Audit logs and environment isolation
  • No data retained beyond processing

Team

Every M&A deal generates the same grunt work: comp tables, buyer lists, LBO models, IC memos. Junior analysts spend 60-80% of their time on repetitive tasks that could be automated.

We're building the execution agent that eliminates this bottleneck. Patterns handles the heavy lifting so your team can focus on judgment, relationships, and deal-making—the work that actually drives value.

Led by operators who've lived through the late nights building models and know exactly where AI can transform deal execution.

Ex-Investment Banker

What you'll do: Shape our product roadmap by translating real deal execution pain points into AI-powered solutions. Own client relationships with PE/IB teams, design workflows that eliminate grunt work, and ensure our automations actually work in practice.

What we're looking for: 3-7 years at a top-tier bank or PE shop. You've built countless models, know every Excel shortcut, and can spot a bad comp table from across the room. Bonus points if you've automated parts of your workflow or wished you could.

Why you'll love this: Finally build the tools you always wished existed. Work with cutting-edge AI while solving problems you've lived through. Help other analysts escape the 3am model-building grind.

AI Engineer

What you'll do: Build production AI systems that handle real financial data and generate analyst-grade deliverables. Design LLM workflows for document extraction, financial modeling, and research automation. Own the technical architecture that makes AI reliable for high-stakes decisions.

What we're looking for: Strong Python/ML background with production LLM experience. You understand both the power and limitations of current AI models. Experience with financial data, Excel automation, or document processing is a huge plus.

Why you'll love this: Work on AI applications that actually matter—helping smart people escape tedious work. Build systems that handle billions in deal value. Shape the future of how finance teams operate.

Ready to Join?

We're looking for people who've felt the pain of manual deal execution and want to build the solution. If you've ever thought "there has to be a better way," let's talk.

Apply to Join Our Team

Help us eliminate the grunt work that's holding back every deal team.

FAQ