doe.so valid
Doe
Doe is the company-native agent cloud for finished work. Give Doe the outcome; it finds the context, works across your systems, and returns the artifact with sources, actions, and receipts attached.
- Authority
- 45 reach 0 · trust 5 · quality 25 · freshness 15
- Tier
- listed
- llms.txt
- https://doe.so/llms.txt
- llms-full.txt
- https://doe.so/llms-full.txt
- Sections
- 6
- Links
- 119
- Size
- 22219 bytes
- Country
- — Publisher location unknown; CDN address excluded
- Country evidence
- No published address evidence collected yet
- Categories
- AI and machine learning
- For agents
- Documentation: developer or product docs worth reading, nothing to call
- First seen
- 2026-10-23T15:14:34.082Z
- Last checked
- 2026-10-23T15:14:36.468Z
- Badge
Their llms.txt
The beginning of the file, from our validated copy saved 2026-10-23T15:14:34.085Z. Cached copy · Source on doe.so
# Doe
> Doe is the company-native agent cloud for finished work. Give Doe the outcome; it finds the context, works across your systems, and returns the artifact with sources, actions, and receipts attached.
- [Full documentation](https://doe.so/llms-full.txt)
- [Markdown site summary](https://doe.so/index.md)
- [Agent usage guide](https://doe.so/skill.md)
Doe starts with the outcome, not a workflow builder. It combines search, permissions, parsing, citations, evals, review, artifacts, writeback, memory, tool execution, and model routing so teams can delegate high-value work while people remain accountable for judgment, approval, and outcomes.
Doe Agent Cloud has four core layers: a knowledge substrate that turns documents, tickets, emails, decisions, examples, and prior work into searchable agent memory; an action layer for working across existing business systems; an inference layer that routes work across frontier, open-source, and private models by accuracy, latency, cost, reliability, context length, and governance; and a memory loop where outcomes, corrections, and expert review compound into better future work.
The platform connects to 69 business tools including Salesforce, Slack, Snowflake, HubSpot, Notion, Linear, Ramp, Google Sheets, Stripe, and Postgres. Doe supports quick responses, deeper agent work, scheduled loops, file-grounded work, code and data execution, enterprise governance, and finished artifacts with source trails.
Created in 2025, Doe is backed by Y Combinator and based in San Francisco. Enterprise features include SOC 2 controls, SSO, SCIM provisioning, RBAC, scoped credentials, approval gates, audit receipts, and dedicated support.
## Documentation
- [Features](https://doe.so/features): Platform capabilities for company-native agents, model routing, agent memory, governed execution, and connected tools
- [Enterprise](https://doe.so/enterprise): Enterprise features including SSO, SCIM provisioning, audit logs, and dedicated support
- [AI Spreadsheets](https://doe.so/tools/spreadsheets): Generate financial models and spreadsheets from your business data
- [AI Analytics](https://doe.so/tools/analytics): Query databases, APIs, and spreadsheets in natural language
- [AI Deep Research](https://doe.so/tools/deep-research): Multi-source research reports with citations and evidence
- [AI Agent for Marketing Teams](https://doe.so/lp/marketing): How marketing teams use Doe for reporting, SEO audits, competitive intel, and campaign analytics across GA, HubSpot, Meta Ads, Ahrefs, and 40+ tools
- [AI Agent for Sales Teams](https://doe.so/lp/sales): How sales teams use Doe for prospect research, post-call admin, meeting prep, and deal risk detection across Salesforce, HubSpot, Gong, and 40+ tools
- [AI Agent for Finance Teams](https://doe.so/lp/finance): How finance teams use Doe for close packages, variance analysis, cash flow forecasts, and investor updates across QuickBooks, Stripe, Ramp, and 30+ tools
- [AI Chief of Staff
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