Wokelo AI is an agentic AI platform for dealmaking, investment research, due diligence, strategy, and consulting workflows.

Who should use Wokelo AI?

Wokelo is best for private equity, investment banking, consulting, venture capital, corporates, asset management, and strategy teams.

How is Wokelo priced?

Wokelo does not publish simple self-serve pricing. Its docs say pricing discussions and credit limit adjustments should go through sales.

What data does Wokelo include?

Wokelo says it includes a database of 20M+ companies, 30+ premium data sources, public web feeds, secure file uploads, and bring-your-own API options.

What is Agentic Builder?

Agentic Builder lets teams create custom AI research workflows with drag-and-drop modules, source-traced outputs, file uploads, and client-ready exports.

What should buyers check first?

Buyers should review credit usage, source coverage, data rights, RBAC, audit trails, export needs, API access, and contract terms before rollout.

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Wokelo AI

Agentic AI research platform for dealmaking, diligence, strategy, and consulting.

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About this tool

Wokelo AI is an agentic AI platform for investment research, dealmaking, due diligence, strategy, and consulting workflows. It is built for professional services and financial teams that need source-traced company intelligence, industry research, market analysis, and client-ready outputs. The platform combines AI agents, proprietary company data, premium data connectors, public web feeds, file uploads, custom research workflows, and domain-tuned models. Wokelo positions itself for private equity, investment banking, management consulting, venture capital, corporates, and asset management teams. Wokelo's Agentic Builder helps teams turn internal deal playbooks and research methods into repeatable workflows. Its Command Center adds workflow oversight, audit trails, RBAC, data-source governance, and export workflows for PowerPoint, Word, PDF, and Excel outputs. For FutureStack, Wokelo AI belongs in Research because it focuses on high-stakes business research rather than generic chat. It is best for deal teams, consultants, investors, and strategy teams that need cited, structured intelligence with proprietary data and enterprise controls.

Best for

Investment research, due diligence, company intelligence, consulting, and deal workflows.

Key Features

Agentic AI platform for dealmaking and consulting research
20M+ company database and 30+ premium data-source integrations
Agentic Builder for custom research workflows and playbooks
Command Center with audit trails, RBAC, governance, and exports

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Pricing summary

Wokelo does not publish simple self-serve pricing. Its docs say pricing discussions or credit limit adjustments should go through sales, so treat it as custom enterprise pricing.

Pricing Plans

Demo

Request a guided demo for investment research workflows.

Custom

Platform walkthrough
Use-case discovery
Research workflow review
Custom scope

Popular

Custom Platform

Enterprise research agents for deal teams and consultants.

Custom

Agentic Builder
Premium data sources
Company intelligence
Client-ready exports

Enterprise/API

Custom API and governance setup for larger organizations.

Custom

APIs
RBAC and audit trails
Data-source governance
Credit limit discussion

Other pricing notes

Pricing checked on 2026-07-24 from Wokelo official docs and website.
Credit usage varies by workflow, selected sections, uploaded files, and custom fields.
Buyers should request pricing from Wokelo for platform access, API usage, and credit limits.

Pricing last checked: July 2026Official pricing page

Pros & Cons

Pros

Strong fit for investment and consulting workflows
Source-traced outputs help reduce research trust issues
Combines private company data, files, and web intelligence
Agentic Builder can standardize firm-specific research playbooks
Enterprise governance features fit regulated deal teams

Cons

Not a lightweight self-serve tool for casual research
Public fixed pricing is not available
Best value depends on deal volume and data needs
Enterprise setup may require workflow design effort
Users must still verify outputs before decisions

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