Trust & Data Practices
Kinobi is an early-stage company building infrastructure that reads the public web. That combination — young company, lots of data — is exactly the one you should ask hard questions about. This page answers them without marketing language, including the parts that do not flatter us.
1. What is actually live today
Kinobi is in early access. Some of what we describe on the home page exists and runs every day; some of it is in development. Here is the line between them, and we keep this table current.
| Capability | Status | What that means |
|---|---|---|
| Agent crawler & extraction | Live | Runs daily. Reads public pages, extracts structured facts, cites each one to its source URL. |
| Company graph | Live | Companies, people, technologies, jobs, funding, and signals, resolved into one graph. |
| Web app | Private beta | Available to early-access accounts. Not self-serve yet — we onboard directly in small batches. |
| REST API | Private beta | Keys issued to early-access accounts on request. The surface may still change; we will version it before we call it stable. |
| MCP server | Private beta | Works with Claude Code, Cursor, and other MCP clients. Enabled per account on request — it is off by default. |
| Managed campaign service | Early access | Campaign planning, buying-group audience design, cross-channel media buying and reporting are available as a managed engagement. We onboard directly and scope each program before launch. |
| Self-serve media buying | In development | The automated demand-side platform and self-serve campaign controls are not generally available yet. Early campaigns are operated with our team. |
| SOC 2 Type II | Not yet | We are not certified. See section 7 for what we do run instead, honestly described. |
The terminal on our home page is a representative product demonstration. Company names make the workflow legible; campaign plans, relationship routes and scores shown there are examples, not assertions about a real person or a live customer campaign. Live research includes a source URL and retrieval date for every fact.
2. Where our data comes from
Every fact in the graph stores the URL it came from and the timestamp it was read. If we cannot cite it, we do not keep it. Our sources:
| Source | What we take |
|---|---|
| Public company websites | Team, about, careers, customer, and newsroom pages |
| Public job postings | Role, department, location, posting date; used to measure hiring velocity |
| US SEC filings | 10-K, DEF 14A, 8-K — officers, directors, risk factors, material events |
| UK Companies House | Filings and annual accounts, via the official API |
| Public DNS records & HTTP headers | MX, TXT, CNAME, NS, DMARC, CAA and response headers, used to infer vendors in use |
| Ad transparency libraries | Publicly published advertiser activity from the major ad platforms |
| News, press releases, funding announcements | Material company events |
What we never do: we do not scrape content behind logins, paywalls, or CAPTCHAs; we do not buy contact lists from data brokers; we do not use personal email addresses or home addresses; we do not collect special-category data.
3. How to opt out
You should not have to ask permission to be left alone, and you should not have to explain why. Either of these works:
- A whole domain — email the domain to ankit@kinobi.so and we will stop collecting from it and delete what we already hold for it.
- Yourself specifically — use the data request form, whatever your employer does.
We stop collecting within 7 days and delete existing records within 30. We keep a one-way hash of your identifiers afterwards for one purpose only: so that the next collection run does not silently add you back.
4. Accuracy, citations, and being wrong
Automated extraction gets things wrong. Ours will too. What we commit to:
- Every fact is cited. Each record carries its source URL and read date, so you can check it rather than trust us.
- Every fact has an age. We show when something was last verified. Stale records are re-checked or dropped, not quietly kept.
- Inference is labelled as inference. Technology detected from a DNS record is a signal, not a confirmed purchase, and we mark it that way.
- Scores are not facts. Path and fit scores are model output. We show what went into them and we do not present them as ground truth.
- Corrections are free and fast. Anyone — customer or not — can report an error at ankit@kinobi.so, and we fix or remove within 30 days.
5. How we use AI
Kinobi uses large language models to read public web pages and turn them into structured, cited records, and to power search over that structure. Concretely:
- Models see public page content that our crawler fetched, and customer queries.
- Our model providers are contractually barred from training on data we send through their APIs.
- We do not sell or license personal data to anyone for model training.
- Model output is never the final word on a person: automated processing does not produce legal or similarly significant effects about individuals, and we do not make automated decisions about anyone’s employment, credit, housing, or insurance.
- Extraction errors are treated as defects — see section 4.
6. Subprocessors
These providers process data on our behalf. The list below is current as of the date at the top of this page. We will post changes here at least 14 days before a new subprocessor starts processing customer data — to be notified, or to request our current list in writing, email ankit@kinobi.so.
| Provider | Purpose | Data it receives | Location |
|---|---|---|---|
| Netlify | Website and app hosting | Request metadata, IP address | US |
| Clerk | Authentication | Name, work email, auth identifiers | US |
| Anthropic | Language models for extraction and search | Public page content, customer queries | US |
| OpenAI | Language models and embeddings | Public page content, customer queries | US |
| OpenRouter | Model routing | Public page content, customer queries | US |
7. Security posture
We are early-stage, so we will tell you plainly what we have and what we do not.
What we do today
- TLS 1.2+ everywhere in transit; encryption at rest for databases and backups
- Multi-factor authentication required for all production and cloud-console access
- Least-privilege access to production data, logged and reviewed
- Secrets in a managed secret store — never in source control
- Automated dependency and vulnerability scanning on every change
- Strict Content-Security-Policy, HSTS, and hardened response headers on this site — no third-party scripts can execute
- Daily encrypted backups with periodic restore tests
What we do not have yet
- No SOC 2 Type II, ISO 27001, or HIPAA attestation
- No third-party penetration test yet published
- No formal 24/7 on-call rotation — we are a small team, and incident response is best-effort during business hours plus paging
- No customer-facing status page yet
If your procurement process requires any of the above, tell us before you invest time — we would rather lose a deal than misrepresent our posture.
Reporting a vulnerability
Email ankit@kinobi.so with “Security” in the subject, or see security.txt. We acknowledge within 3 business days. We will not pursue legal action against good-faith research that respects user privacy, avoids service degradation, and gives us reasonable time to fix.
Incident notification
If personal data we hold is breached, we notify affected customers without undue delay and within 72 hours of becoming aware, and we notify regulators where required.
8. Who is behind Kinobi
Kinobi is built by Ankit Pansari and operated by Kinobi, Inc., a Delaware corporation, from San Francisco. There is no anonymous team behind this — if something we do is wrong, there is a named person to hold responsible.
Email: ankit@kinobi.so
LinkedIn: linkedin.com/in/ankitkumarpansari
Post: Kinobi, Inc., 11 Franklin St, San Francisco, CA 94102, United States