ThoughtProcess

Bring rich context to comprehensive analytical work

Create project-specific knowledge bases for everything that goes into rigorous, collaborative research. Use AI built to help you recollect and synthesize the specifics of your team's own thinking.

Trusted by researchers at
UC Berkeley·NYU·UC Davis

AI with the context it needs

A powerful knowledge base for deep institutional knowledge in the click of an upload button.

Seamless collection

Save websites, files, and video transcripts into one library, straight from your browser. Everything is automatically parsed and structured for AI workflows

Precise recollection

Every upload is prepared for semantic search: enter the passage you're thinking of, in your own words, and go straight to its original context.

Structured AI

Mark up your data with rich annotations, citations, task-specific threads, and more. See real results from AI by binding it to your own perspective.

Fully collaborative

Shared collections with everyone's insights organized, kept in context, and ready for AI integration.

Built for the rigor of complex research

Project-scoped workspaces built for seamless collaboration and recollection

Create project-specific collections for documents, notes, writing, and team discussion, with org member access configured on a case-by-case basis. Documents and their usage in your analsyes are stored to be recollected instantly. Search for what you remember reading, in your own words, and pull up the exact passage you're envisioning. Everywhere that source is written about or discussed is ready at hand if you need it.

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AI disciplined by the structure of your analysis

Use AI if and where it makes sense for your own work with tools that enhance AI capabilities for document-heavy workflows. By pointing models at specific source material and your team's analysis, they are able to offer highly detailed responses tailored to the subtleties inherent in expansive research projects. Ask for synthesis of what has been done and decisions that have been made, find supporting and contradictory evidence for new ideas, have agents conduct thorough analysis with grounding in your own project structure, and more.

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Dedicated, topic-specific threads for outputs, evidence, and team discussion

Group units of work into threads that hold relevant evidence, drafts of finished products, and discussions about the specifics. Give AI sessions threads as context; agents can tackle complex tasks in accordance with your team's own approach. Drop drafts straight into the word processor, so your work gets automatically synced when thinking and methodology change.

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Work products with supporting evidence right at hand

Keep every claim tethered to its supporting evidence and rationale. Add citations that open straight to each claim's supporting source material.

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Security and data protection built to strict standards

Enterprise-grade security and controls

Peace of mind for firms working with sensitive information: SSO, audit logs, role-based access controls, DPA, data encryption at rest and in transit, data lifecycle management, and more.

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Your library is yours

Your material is yours alone and never sold or used to train AI models. Configure read and write access for organization members on a project-by-project basis. Export anything you upload or create in the workspace at any time.

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Deployed the way your firm requires

Run on our secure multi-tenant cloud, on a managed and isolated instance of your own, or privately inside your VPC or on-premises. The workspace functions identically regardless of your deployment strategy.

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Frequently asked questions

No. Your uploaded sources, notes, and writing are yours alone and are never used to train models. Integration with third-party AI is up to you and governed by your usage agreement with those models.

Whichever you bring. Thought Process exposes your library through an MCP server, so you can connect coding agents like Claude Code, Codex, Cursor, a RAG pipeline, or any agent loop. Swap models whenever you like.

Yes. Your library exports in full: all of the documents you upload, as well as any notes or writing you create in the workspace.

Only the people you invite. Collaborators see the collections you share with them; everything else stays private to you.

PDFs, Word docs, spreadsheets, web pages, video transcripts, and your own notes. You can upload through the web app or install the browser extension to save website content as you read. Every upload is parsed and prepared for semantic search and AI integration.

Operationalize your team's thought process.

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JJake
ACME Inc. - FY26 review
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AI
What did ACME give as the cause of the FY2026 margin decline?
The FY2026 10-K puts the 240bp decline primarily on higher input costs, as the Q3 10-Q had a quarter earlier.
10-K ACME Inc.1 matching sectionACME Inc. 10-Q - Q3 20251 matching section
Did they walk that back in the May 5 press release?
In substance. The Q1 release ties Industrial margin to pricing actions taken in the second half of fiscal 2026, the first time price comes before input costs.
ACME Inc. press release - Q1 2026 results1 matching sectionMeridian Partners - ACME channel checks, Q11 matching section
Looking for...
Inflation and loss causation - draft
Paragraph
SavedAll

Inflation and loss causation - draft

Plaintiffs allege the FY2026 10-K blamed input costs for a margin decline driven by Industrial price concessions. This section dates and prices the correction.

Chronology

The 10-K blamed input costs for the margin decline.
DateEventACME closePeer index
Mar 4, 2026Form 10-K filed$67.20412.6
May 5, 2026Q1 release, after close$66.90418.3
May 6, 2026First session after release$57.40415.8
After the close on May 5, the first-quarter release put pricing ahead of input costs for the first time.

Event study

We estimate a market model with an indicator for each event date:
Rt​=α+βm​Rm,t​+βp​Rp,t​+k∑​δk​Dk,t​+εt​
The May 6 coefficient is -13.6 percent (t = -7.9), or $9.10 per share. Restating the March consensus at the release’s 29.8 percent Industrial margin lowers the DCF value by $9.30, so we model inflation as constant at $9.10 from March 4 through May 5.