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Private Beta

One AI teammate.
Many specialists behind the scenes.

Clay is your moldable AI operator — one interface backed by many specialized agents. Models, decks, research, workflows, and more. Shaped around how your team actually works.

Models & ValuationsResearch & MemosPresentationsWorkflow AutomationOperationsCustom Tasks
Clay

Clay workspace

Build a DCF model for NVIDIA and flag key growth drivers.

✓ DCF complete with cited assumptions, risk table, and deck-ready summary.

Research

Company deep-dive

Memo

Investment thesis

Deck

8-slide summary

Every company in the world today needs to have an OpenClaw strategy, an agentic system strategy. This is the new computer.

Jensen Huang

CEO of NVIDIA · GTC 2026

Source: Business Insider, March 2026

Klade builds on OpenClaw to deploy AI analysts for professional firms.

One bot, many specialistsModels & valuationsResearch & memosPowerPoint-ready outputWorkflow automationOperations supportData organizationCustom business tasksBuilt around your workflowFounder-led onboardingEnterprise-grade security24/7 execution coverageOne bot, many specialistsModels & valuationsResearch & memosPowerPoint-ready outputWorkflow automationOperations supportData organizationCustom business tasksBuilt around your workflowFounder-led onboardingEnterprise-grade security24/7 execution coverage

How Clay works

One interface. Many agents behind it.

Clay receives your request, routes it to the right specialist sub-agent, and delivers structured output — all through a single, seamless experience.

1

You ask Clay

Natural language request through one interface.

2

Clay routes

Work is dispatched to the right specialist agent.

3

Specialists execute

Dedicated sub-agents handle the task with precision.

4

Output delivered

Structured, cited, ready-to-use deliverables returned.

Capabilities

One bot. Many specialists.

Clay orchestrates specialized agents across every function your team needs. Not a single-purpose tool — a moldable system that adapts to your workflows.

📊

Financial Models

DCFs, LBOs, comps tables — structured and cited.

📑

Presentations

PowerPoint-ready decks from data to narrative.

🔍

Research & Memos

Deep-dive research with sources and analysis.

📋

Internal Reports

Automated reporting for stakeholders and teams.

⚙️

Workflow Automation

Recurring processes systematized and executed.

🗃️

Data Organization

Structure, clean, and surface insights from data.

🔗

Operations Support

Process management, coordination, logistics.

🎯

Custom Tasks

Anything your team needs — Clay adapts.

Use cases

Klade molds to the company. Not the other way around.

One system, many specialists — shaped around the way your business actually operates.

Research & Due Diligence

Company screening, market analysis, competitive intelligence.

Financial Analysis

Valuation models, earnings summaries, sector deep-dives.

Reporting & Dashboards

Recurring reports, KPI tracking, stakeholder updates.

Deck & Presentation Creation

IC decks, board materials, client presentations.

Operations & Process

Workflow coordination, data pipeline management, internal tooling.

Custom Internal Tasks

Whatever your team needs — Clay molds to the workflow.

ROI

Why teams switch to Klade.

Replace repetitive analytical headcount with adaptable AI support that scales across functions.

Without Klade

  • Hours spent on repetitive models and reports
  • Bandwidth ceiling from finite headcount
  • Inconsistent deliverable quality
  • One tool per function, constant switching

With Klade

  • Deliverables in minutes, not days
  • Scales across functions without new hires
  • Structured, cited, format-compliant every time
  • One AI teammate handles it all

Less repetitive load

Free your team from rebuilding the same models, reports, and decks every week.

Faster turnaround

Deliverables in minutes, not days. Research, analysis, and presentations on demand.

Lower cost per output

Dramatically cheaper than additional headcount for recurring analytical work.

Consistent quality

Structured, cited, format-compliant output every time — no variance.

0/7

execution coverage

0x

output expansion

0%

less repetitive load

0min

to first draft

Traditional headcount vs Clay.

Traditional hire

  • • ~$150,000+ annual compensation
  • • Limited working hours
  • • One person's bandwidth ceiling
  • • Manual workflow switching

Clay — your AI teammate

  • • Dramatically lower cost-per-output
  • • 24/7 execution coverage
  • • Parallel workflows, no burnout
  • • One interface for every function

Security

Built for teams that care about control.

Secure-by-design architecture, workflow-scoped access, and visibility-first deployment posture from day one.

Least-privilege integration model

No client-side secrets

Audit-log ready event patterns

Founder-led deployment accountability

Founding team

Built by operators, not outsiders.

Three founders operating inside the workflows we're automating. Founder-led through every step of onboarding and deployment.

Adam Benoit

Co-Founder

Adam Benoit

Economics, financial markets, and investment research workflows.

adam@kladeai.com
Arjun Rath

Co-Founder

Arjun Rath

Product + infrastructure systems that turn analyst workflows into reliable execution.

arjun@kladeai.com
Gavin Kim

Co-Founder

Gavin Kim

Quantitative systems design and structured decision-support outputs.

gavin@kladeai.com

Ready to meet your AI teammate?

Private beta. Founder-led onboarding. Fast response.

Tell us about your team.

Share your bottleneck and we'll return a practical rollout plan.

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