Everything your AI agents can do

Find people matching your ICP — titles, seniority, industry, geography. They land in Leads, deduped, each with a hook: why them, why now.

Whole-market TAMs from a plain-English ICP, lookalikes of your best customers, and companies running a given tech — with verified buying intent.

A verified work email — and phone — from a LinkedIn URL, a name + company, or any identifier. A lookup ladder that tries the cheap step first.

Who is this? Resolve an email address, phone number, or social handle into a full identity — role, company, socials, contact info.

Deep-research one company against your question, answered from live job posts and org data — with sources you can read.

A fund's thesis, partners, check size and recent investments — qualify investors before you pitch them.

Deep private-company profiles from 20M+ companies — funding, business model, tech, headcount trends, reviews, web traffic — priced per section, so you only buy what you ask for.

What a company is hiring for and how its team is growing — live job posts with salaries and skills, plus headcount trends by function. What they're building, before they announce it.

Personalized first-touches grounded in your brain and the segment's angle — held in Drafts to review. Nothing is ever sent for you silently.

Approved messages send from YOUR email or LinkedIn — your click in the Inbox is the send, with opt-in autopilot capped per day.

Inbound replies come back classified — Interested, Meeting request, Objection — each with a drafted response waiting in your Inbox.

A standing eye on anything that moves: buying signals, competitors' pricing pages, topics. Findings land in Watches with one-click Find people.

Teach it once — ICP, voice, proof, guardrails — and every draft, answer and plan is grounded in it. The dashboard home is its map.

Book meetings on your calendar, log notes to HubSpot, push lead lists to Sheets — through the apps you connect once in Integrations.

Public LinkedIn at scale — a person's posts, job listings, or a people-search by title and geography (some with a verified email).

Tweets by search term, handle or conversation, and follower lists for any X account — for signals, listening, and lead lists.

Reddit posts from a subreddit and threaded comments from any post — community listening and voice-of-customer.

Local business listings by query + location, and the full review stream for any place — local lead-gen and reputation.

Facebook posts from any page or profile, plus the ads a page is running from Meta's Ad Library — social listening and competitive ad intel.

Local businesses with emails, phones and socials by search — contact data, not just a name on a map.

Live job postings by role and location from Indeed — headcount signals and hiring intent, not a résumé database.

A company's funding, investors and growth signals in one pull — its Crunchbase profile, including traffic-rank data.

A narrated product demo assembled from your app — script, voiceover, screen capture and edit. Lands in Media, kept forever.

On-brand images for a specific channel — a LinkedIn banner, an X card, an Instagram post — sized and styled for where it goes.

Edit an existing image: swap a background, remove an object, restyle, upscale. Give it the image and the change in words.

Natural narration and voice audio from text — pick a voice, get an audio file. For demos, ads, or IVR.

Hero shots, section art and product imagery for a landing page — a set that reads as one system, not stock.

A multi-source, fact-checked research report on a question — sources fanned out, claims verified, cited.

Entity-resolved news on a company, sector, or topic — de-duped, sentiment-scored, AI-summarized, with ~80% of the noise already filtered out.

Pull one page as clean markdown — JS-rendered, boilerplate stripped, anti-bot handled. For pricing pages, docs, articles.

Crawl a whole site from a seed URL, following links — index docs, catalogs, or a competitor across many pages.

Extract typed fields from pages — prices, specs, contacts — to a schema you name, instead of raw HTML.

Turn a PDF, deck or doc into structured text your agent can read — tables, sections and all.

Instagram posts for a username, profile metadata, or everything under a hashtag — creator and brand research.

TikTok posts by keyword, a profile's videos, a video's comments, or single-video metadata and engagement.

Amazon product detail pages and review streams by ASIN or URL — competitive and product research.

Guest reviews for any hotel or property from Booking.com — reputation research and voice-of-customer.

A real browser your agent drives — sign up to your app, test the flow, screenshot what confused it, and report back.

Code sandboxes and GPU compute on demand, billed per second — run tests, evaluate snippets, train small things.

An inbox your agent owns — send surveys, collect replies, summarize as they arrive. Separate from your own connected accounts.