A number you can't defend is worthless.
In diligence, the answer is only half the job. You have to show where it came from. An EBITDA figure with no source behind it isn't a finding, it's a liability.
That's where most AI workflows quietly fall apart. They give you a fast answer and no way to stand behind it.
We built @ClavyAI differently. Point an agentic table at your pipeline, define your columns once, and every value comes back with the documents and exact passages it was pulled from. The whole shortlist becomes a grid you can take into an IC and defend line by line.
New in Clavy: Grounded citations
Click any citation and the source document opens with the exact passage highlighted, whether that’s a clause in a contract or a single number in a financial statement.
Ask a question across the documents in a space, or fill hundreds of rows in a table. Every answer points back to where it came from.
Something I see constantly: a team of smart people spending half their week reading PDFs so they can fill in a spreadsheet.
That’s the workflow @ClavyAI replaces. Bring your documents, reports, or research and agents extract exactly what matters, structured and ready to act on.
We’re purpose-built for institutional workflows where the volume and precision requirements are too high for generic AI tools.
If that sounds like your team, I’d love to show you what we're building.
https://t.co/8A5eJ8KNfV
Google recently launched Gemini 3.6 Flash, and it is now available in Clavy along with Gemini 3.5 Flash Lite.
In our early testing, 3.6 Flash held up well on the high-volume work Clavy runs, like enriching table columns row by row and pulling answers from long documents. Compared to prior Flash models, it stayed accurate at speed, so bulk runs cost less without giving up quality.
Most knowledge work is just reading documents and pulling out the same information over and over.
Financial reports. Contracts. Due diligence files. The content changes, the task doesn't.
That's what we're solving with @ClavyAI. You drop in your documents, define what you're looking for, and agents return structured analysis you can actually use.
Still early, but we're building something I wish I'd had for the past five years.
Claude Opus 4.7 is now live in Clavy!
Stronger reasoning and better contextual memory means sharper document analysis and more accurate data enrichment across your workflows.
We are living in the "Chatbot Era" of AI. But for complex, knowledge-heavy workflows, the standard chat UI is holding us back.
Chatting with one PDF is cool. Analyzing 200 of them? A copy-paste nightmare.
We need to rethink the interface. 🧵👇
"We know AI could help, but our analysts are still spending 15 hours a week extracting data from pitch decks into spreadsheets."
That's because most AI tools are built for chat, not for actual work.
@ClavyAI is different. AI-native spreadsheets that auto-extract from documents. Searchable knowledge bases across all your deal docs. No more copy-paste. No more hunting through folders.
The impact? 12+ hours saved per analyst per week. That's 3 extra deals you can evaluate per quarter.
If your team is drowning in document work, let's connect.
"AI sounds great, but I'm still spending my Friday afternoon extracting data from documents into spreadsheets."
That's because most AI tools sit in a separate chat window. They don't integrate with where your actual work happens: your spreadsheets, your documents, your knowledge base.
Clavy puts AI directly into your workflow:
✓ AI-native tables that auto-populate from documents and enrich data
✓ Intelligent knowledge hubs that understand context and answer with citations
✓ Multi-model intelligence that adapts to your specific use case
It connects your data, surfaces insights, and automates repetitive steps so your team gets hours back every week.
If your team wants AI that actually eliminates repetitive work and creates real impact instead of just adding another tab, let's talk.
👉 Book a demo to see it in action: https://t.co/8A5eJ8KNfV
We have more AI tools than ever before, yet work feels more fragmented than ever.
At @ClavyAI, we’re reimagining how AI fits into work itself.
Read the full story: https://t.co/5Xqqgu7NN8
After months of building, I'm launching @ClavyAI today.
The problem: teams spending hours on tedious, repetitive work - manually researching, enriching datasets, and searching for information buried in piles of documents.
Work that's necessary, but prevents teams from focusing on what truly matters.
AI should fix this. But most AI tools just chat with you - they don't actually work in your workflows.
So we built Clavy, an AI-native workspace that automates manual work and handles thousands of tasks in minutes.
We're starting with a waitlist to work closely with early users and build something genuinely useful.
→ Join the waitlist for early access: https://t.co/KPRAAqpZ4m
🚀 Meet Clavy: the AI workspace that automates manual work, so you can focus on what truly matters.
Teams today spend hours on data entry, research, and document analysis. Work that's necessary but quietly eats away hours, energy, and momentum.
Instead of manually processing information, describe what you need, and watch Clavy do the work for you.
We believe AI should do more than chat. It should work in your workflow — understanding your data, executing tasks, and generating insights automatically so you can make better, faster decisions.
We're starting with a waitlist to ensure early users get the best experience and direct input on what we build next.
See it in action and join the waitlist: https://t.co/RnIbAZPOBG