The agentic AI layer for company and people data.
Each agent owns one part of the GTM data job and carries it end to end: identifying companies, enriching records, reading signals, verifying contacts, building audiences, personalizing outreach. All of them share one data stack, one credit ledger and one approval policy.
Autonomous AI agents. Single-point scale.
Prospecting Agent
Describe the ICP in plain language and it identifies companies by firmographics, technology, hiring, funding, similarity to your best customers or location, finds the right people by title and seniority, verifies how to reach them, and delivers a scored, deduplicated list into your CRM, sheet or outreach tool.
- Identifies companies by firmographics, technology, hiring, funding, lookalikes or location
- Finds the right people by title, seniority and department, with verified emails and phones
- Scores every row against your ICP and delivers the list where your team already works
Why it matters: every row on the list carries the reason it belongs and a verified way to reach it.
Enrichment Agent
Hand it a CSV, a list or a CRM segment and it resolves names to domains, then fills firmographics, technographics, funding, news, the buying committee and verified contacts through a waterfall of sources, paying only when a source answers, and reports coverage before and after.
- Resolves company names to domains and people to profiles before anything else runs
- Fills firmographics, technographics, funding, news and contacts through a waterfall of sources
- Reports field coverage before and after, and only pays for fields a source actually filled
Why it matters: the list you already have becomes the list you needed, with the coverage math shown.
Audience Agent
It turns any list, segment or signal cohort into matched and custom audiences on connected LinkedIn, Meta and Reddit accounts, produces the upload file for Google, TikTok, X and Pinterest, keeps retargeting and suppression lists current, and pushes only after you approve.
- Builds matched and custom audiences on connected LinkedIn, Meta and Reddit accounts
- Produces platform-ready upload files for Google, TikTok, X and Pinterest
- Keeps retargeting, suppression and ABM audiences refreshed on a schedule, every push approval-gated
Why it matters: the accounts sales is working become the audiences marketing is buying, with one list behind both.
Signals Agent
It reads intent topics, hiring, technology adoption and change, funding, news and relationships across the companies you care about, ranks who is in market right now, and runs standing watches that deliver digests to Slack, email or the CRM when something changes.
- Reads buying intent by topic, company and contact, with the trajectory over time
- Watches hiring, technology change, funding, news and relationships per account
- Runs standing watches that deliver a digest where your team already talks
Why it matters: timing stops being guesswork: the account that just moved reaches the right owner the same day.
Company Intelligence Agent
Give it a name or a domain and it assembles the record: firmographics, technology stack, funding, news, hiring, relationships and web footprint. Give it a list and it returns an account plan, a segment report or a chart, with every figure traced to the tool call that produced it.
- Resolves any company from a name or a domain and assembles the full record
- Reads technology, funding, hiring, news, relationships and web footprint together
- Turns lists into account plans, segment reports and charts with the evidence attached
Why it matters: the pre-meeting brief, the segment analysis and the board chart come from the same evidence, in minutes.
Lead Verification Agent
It verifies emails and phones in bulk, deduplicates against your CRM, suppresses customers, competitors and do-not-contact records, scores fit against your ICP, and hands back a list your sender domain and your reps can trust, with the risky rows split out where you can see them.
- Verifies every email and phone in bulk before a row counts as reachable
- Deduplicates against your CRM and suppresses customers, competitors and do-not-contact records
- Scores fit against the ICP and splits deliverable rows from risky ones where you can see them
Why it matters: bounce rates, duplicate records and wasted sequences stop being the price of speed.
Personalization Agent
For every contact on a list it reads the company’s signals, the person’s role and what changed this week, then writes the opener, the sequence, the call notes or the LinkedIn message grounded in that evidence, in your voice, and loads the result into the tool you send from for approval.
- Reads each account’s signals, technology and news before a word is written
- Writes openers, sequences, call notes and social messages grounded in that evidence, in your voice
- Loads drafts into Gmail, Instantly, Lemlist or your CRM, paused until you approve
Why it matters: relevance stops costing an SDR afternoon per account: every message names the reason it was sent.
The scale of our intelligence engine.
company and person data, technographics, hiring, funding, intent, verification, lists, audiences and delivery, priced in credits on one meter
prospecting, enrichment, signals, audiences, verification and outreach objectives packaged as one-click missions, ready to run or adapt
prospecting, enrichment, audience, signals, company intelligence, lead verification and personalization, all in every workspace
Console, REST API, MCP, CLI, Slack, Telegram, Email, with one thread memory across all of them
Autonomous AI agents, one shared data stack.
Each specialist agent carries its own mix of discovery, enrichment, verification, scoring, monitoring, analysis, writing and delivery, over the same licensed data and the same connected systems.
Prospecting agent - turns an ICP into the companies and people that fit, sourced from firmographics, technology, hiring and intent, delivered as a verified list.
MEET THE PROSPECTING AGENT →Connected. Reachable. Delivered.
One connected system
Connect your CRM, outreach tools, ad accounts, sheets and messaging once and every agent inherits the connection. Every data capability and every delivery target sits behind one ledger, one approval policy and one memory.
Limitless by design
Reach the same roster from wherever work happens: the console, the CLI in your terminal, REST with scoped keys, MCP inside your assistant, the embeddable web widget, email, Slack and Telegram. Every surface shares the thread memory and the meter.
Data in, delivery out
Hand the agents what you have: a CSV, a saved list, a CRM segment, a JSON payload from your own product. They compute exactly in an isolated code environment and deliver back CRM records, ad audiences, loaded sequences, sheets and reports.
⟨ EVERY PLAN SHIPS EVERY AGENT ⟩
Questions, answered.
What exactly is an AI agent here?
A specialist that owns one part of the GTM data job end to end: it plans the mission, calls the platform’s data capabilities, computes exactly in an isolated code environment and returns a list, an audience, a set of drafts or a report with the evidence attached. All seven agents ship with every workspace.
Which agent should I pick?
Usually none. Describe the objective, for example "200 fintech companies hiring compliance leads, verified, in HubSpot by Friday", and the orchestrator routes each step to the right specialist. You can also run any agent directly from the console, over REST, through the CLI or inside your assistant over MCP.
Where does the data come from?
From live sources queried at run time: company and person databases, technology detection, hiring and funding feeds, intent data, news and the open web. Every field carries the source that filled it and the date it was read. Nothing is quoted from model memory.
What is waterfall data enrichment?
One field, several sources, tried in order until one answers. The Enrichment Agent asks the first source for a domain, an email or a technology stack, moves to the next only when the first comes back empty, and charges only for the source that filled the field. Coverage is reported before and after every run.
What does a run cost?
Each agent carries a hard per-run cost cap enforced by the ledger, and every data capability has a listed credit price. Paid sources are reserved before they run and settled after, so a run that reaches its cap parks safely with the rows it already completed.
Will the agents write into my CRM or ad accounts unasked?
Writes are governed. Audience pushes, CRM upserts and sequence loads wait in the approval queue with the exact rows shown until you enable autonomous writes for that connection, and reads are never gated. The audit trail records who approved what.
Can I build on the same stack?
Everything behind the agents is callable directly: REST with scoped keys, a CLI for terminals and coding agents, MCP for assistants, signed webhooks out. Your own products and agents compose the same company, person and signal data on the same meter.
Put the roster to work.
Connect your CRM and outreach tools, set the approval policy and hand the first list to an agent. The first mission runs minutes after signup.