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Go from an ideal customer description to contacted, qualified leads with Sai.
You write one instruction. Sai does all the other steps.
Type who you sell to and what makes a lead worth your time.
Sai searches, opens each company, and gathers evidence — while you're on calls.
Sai scores every lead, links its sources, and writes the first email.
Open the sheet, click the sources, approve what's worth sending.
Most agents are built to impress. Sai is built to repeat — every week, unattended, on the tools you already use.
Sourcing, research, scoring and drafting run as one workflow instead of four subscriptions that don't talk to each other.
Every score carries the signal and the source link that produced it. If Sai can't verify something, it says so instead of filling the cell.
Sai works in a real browser inside your own logged-in sessions, so it reaches the lead sources, CRMs and internal tools that have no public API.
Other agents break on your 20th outreach message. Sai runs your lead workflow every week, unattended — and every repetition makes it cheaper and more reliable.
AI lead generation is the use of artificial intelligence to find, research, qualify, and contact potential customers with minimal manual effort. In practice, most tools sold under this label handle one slice of that sequence. A database gives you contacts. An enrichment tool adds attributes. A scoring tool ranks them. A sequencer sends the email. The buyer assembles four subscriptions and still does the joining work by hand.
Sai is an autonomous AI assistant from Simular that operates a real browser and real applications, which means it can perform the entire sequence rather than one layer of it. Sai searches for companies matching your criteria, opens each one to gather evidence, finds the right contact, applies your scoring rules, writes the results into your spreadsheet, and drafts the first email — from a single instruction.
Consider a growth lead who needs 150 qualified leads before the quarter closes. The conventional path is to pull a list from a data provider, export it, run it through an enrichment tool, build a scoring model, import the survivors into a sequencer, and write templates. That's several days and several invoices.
With Sai, it's one prompt. The list is built, each company is researched against the rules you wrote, the contacts are found, the scores come back with source links attached, and the top-scoring leads arrive as drafted emails in your inbox awaiting approval. Because Sai works inside your own logged-in sessions, it reaches sources that closed platforms can't, including tools with no public API.
The most common objection to AI lead generation is trust, and it's a fair one. A fabricated email address damages your sending domain. A confident score with no reasoning behind it gets ignored by the rep who has to act on it.
Sai is built to be checkable. Every score is accompanied by the specific signal that produced it and a link to where that signal was found. When something can't be confirmed, Sai can be instructed to mark it unverified and state what it checked, rather than filling the gap with a plausible guess. For AI lead scoring to change how a team allocates its week, the output has to survive scrutiny — and that requires showing the work, not just the number.
Free your hands from the computer.
Try Sai
