Research like a firm.
Move first.

Build multi-agent research pipelines that follow your proprietary process — and compress weeks of research into days.

Get Started → See how it works ↓
Weeks of research compressed to days
🔒 Every finding traceable to its source
Your data never used for training

Research cycle comparison

Traditional process
3–4 weeks
With Thoughtful
3–5 days

Sample research brief

Stripe
Fintech · Series I · $95B valuation
Research Brief Generated Mar 2026

Stripe maintains dominant position in developer-first payments infrastructure. Recent S-1 filing signals IPO readiness. Key risk: margin compression from enterprise pricing concessions observed in Q4 reference calls.

↗ S-1 Draft ↗ 3 Expert Calls ↗ 12 Customer Interviews ↗ Q4 Earnings Transcript
▲ Bull case
  • Platform breadth creates durable switching costs
  • Enterprise TAM expansion underway
  • Stablecoin rails open new revenue streams
▼ Bear case
  • Adyen gaining share in EU enterprise
  • Take rates under pressure at volume
  • IPO overhang on team retention

Built around how research teams actually work

🔐

Your proprietary process, encoded

Input your research guidelines, your team's methodology, how you weigh sources. Agents follow your logic on every run — not a generic model someone else trained. Your IP stays private to your workspace.

🤖

Agents that run while you sleep

Set up pipelines that monitor positions, sectors, or catalysts overnight. Wake up to a structured brief on what changed and what needs your attention — not raw noise.

💬

The analyst who asks what you forgot

Chat surfaces connections across sources, flags gaps in your thesis, and brings up findings you didn't think to ask about. It's not retrieval — it's a thinking partner.

Every type of research. One shared workspace.

Each person builds their own context — their sources, their methodology, their findings. Pool it when you're ready. No rebriefs, no lost threads.

SEC Filings
Earnings Calls
News Feeds
Expert Calls
Your Notes
Thoughtful
follows your process
Research brief
every source traceable

Market & sector research

TAM, competitive landscape, industry signals — synthesized from filings, news, and analyst reports.

Financial model review

Unit economics, projections, burn — agents flag assumption gaps before the numbers go to review.

Product & technology

IP strength, tech debt, scalability — surface the technical questions before your experts ask them.

Customer & revenue validation

Churn signals, pricing power, CAC/LTV — built from reference calls and data, not just the pitch.

Founder & team diligence

Background, track record, expert call notes — each analyst builds their read, then pools it.

Research synthesis & reporting

Bull case, bear case, open questions — agents draft the narrative from every layer, ready to stress-test.

What our users say

"Nathan gave our team early access. PR output has 3x'd, lines of code written has 6x'd, and quality has improved with speed. We have never communicated less as a team and have never been more in sync. Before we had access, we were planning two hires. We no longer need to hire." — Lauren Self, CEO, Roots
"Thoughtful is my operating system. I run a consulting business and three side projects — every decision, every client context, every build is in here. I stopped re-explaining myself to AI tools the day I set it up." — Shane Lykins, indie builder & fractional PM

Common questions

What data sources can I connect?

Thoughtful connects to SEC EDGAR, earnings transcripts, news feeds, Gmail, Google Drive, Slack, and more. For proprietary data sources, connect any service with an API or MCP server — no code required for most.

How is this different from Bloomberg or Fiscal.ai?

Those are data terminals — you query their dataset. Thoughtful is a workflow tool — you connect your own sources, encode your own process, and agents run it. The output follows your methodology, not theirs.

Is my data private and secure?

Yes. Your data, integrations, and research process stay in your workspace — we don't train on your inputs. Every finding is linked back to its source document so your outputs are always auditable.

What does it cost?

$20/seat/month on the annual plan, $25 monthly. Bring your own Anthropic or OpenAI API key to control model costs.

See it work on your research today.

Takes minutes to set up. Built around how you already think.

Get Started →