Hyper-personalized AI outreach across LinkedIn, email, and social. Reply rates that hold up — because every message references something real about the lead, not “I saw you work at [company]”.
We define your ideal customer precisely, pull a fresh deduped list, and let AI write a genuinely personal opener for each prospect — referencing their actual posts, company news, and role. Then multi-channel sequences run on autopilot (LinkedIn + email), pausing the instant a human replies. You get warm conversations in your inbox; we handle the machinery. No bought lists, no spray-and-pray.
Precise targeting by title, company size, geo, tech stack, and intent signals — pulled fresh from Apollo or Sales Navigator.
AI ingests each prospect’s LinkedIn, posts, and company news to write an opener that references something real.
LinkedIn connect → message → email follow-up → second touch, all timed and automated.
The sequence pauses the moment a human replies; the warm lead routes straight to your inbox with full context.
Continuous testing of openers, angles, and CTAs — we double down on what books meetings.
Domain warm-up, inbox rotation, and spam-safe sending so you stay out of the junk folder.
We define your ideal customer and messaging angles, and map the channels and volume.
Lead lists pulled and deduped, personalization engine built, sequences and inboxes set up and warmed.
Sample messages reviewed together until they sound like you. First batch goes live.
Sequences run, replies route to you, we A/B test weekly and refresh lists monthly.
LifeAI, an AI + DNA-testing startup entering India, had rising paid costs and no organic engine. We built the acquisition system end to end — educational content funnels, an influencer engine of 15+ partnerships, and localized messaging — turning paid spend into a compounding inbound loop and growing the audience from 0 to 25K organically in five months.
Consultancies, agencies, freelancers selling $5K+ engagements where one deal pays for a quarter.
Founders running outbound before they can afford an SDR team.
Authority-based offers where the right 50 conversations a month is plenty.
Fill your own pipeline while you focus on client delivery.
First test, 1 ICP
Monthly, multi-channel
Outbound at volume
No. Every message is uniquely written from real signals about the prospect, sent at safe volumes with proper domain warm-up. That’s the opposite of spray-and-pray blasting.
Fresh, deduped lists pulled from Apollo, Sales Navigator, or similar — matched precisely to your ICP. Never bought or scraped junk lists.
The opposite — we manage warm-up, inbox rotation, and volume specifically to protect deliverability.
Well-targeted, well-personalized campaigns typically see 8–14% reply versus 1–2% for generic blasts. We model expected meetings before you commit.
Book the audit. We’ll model your expected reply rate, meeting volume, and pipeline contribution before you commit a rupee.
The category is noisy because almost every tool claims to do the whole job. It is easier to think about as four separate jobs, because you are probably only weak at one or two of them.
Sourcing is finding companies and people who match your ideal customer profile. Coverage varies enormously by geography and segment, and every vendor’s data looks excellent in a demo built on US mid-market software companies. Test on your actual niche and region before committing, especially outside North America.
Enrichment fills in what sourcing missed. Waterfall enrichment, which tries several providers in sequence and pays only for the call that returns data, produces materially better coverage and lower cost than any single database.
Timing signals are what separate outbound from spam. Knowing a company fits tells you who to contact; knowing they just hired a VP of Sales or started researching your category tells you when. Timing lifts reply rates more than any amount of copy tuning.
Engagement is sending and following up without burning your domains. This is a specialist job, and the deliverability infrastructure inside all-in-one data tools is generally weaker than in purpose-built senders.
Three causes account for most of it. Buying sourcing when the real bottleneck is replies, which makes the problem worse rather than better. Trusting AI-generated personalisation without reading it, where the embarrassing outputs land on your best-fit accounts. And measuring open rates, which have been unreliable for years, instead of positive replies per hundred contacts.
The fourth, less discussed, is starting at volume. Sending infrastructure needs two to three weeks of warm-up before it can carry meaningful volume safely, and skipping that is how teams end up rebuilding a domain reputation for six months.
It is the use of AI and automation across four distinct jobs: sourcing companies and people who match your ICP, enriching those records with contact and firmographic data, identifying timing signals that say when to reach out, and running the outreach and follow-up itself. Most tools claim all four and are genuinely good at one, which is why diagnosing your actual bottleneck matters more than choosing a vendor.
It works when the bottleneck is finding and reaching the right people, and it makes things worse when the bottleneck is that your offer is not compelling. More contacts into a weak message produces more ignored emails and a damaged sending reputation. The honest diagnostic: if you already reach the right people and they do not reply, fix the offer and the timing signals before buying more data.
On positive replies per hundred contacts, and eventually on pipeline created. Open rates have been unreliable for years, and raw reply rate rewards being annoying enough to provoke a response. Positive replies per hundred is the only number that ties activity to revenue, and it is the one most dashboards do not show by default.
Tooling for a small team commonly runs a few hundred dollars a month across a data source and a sending platform. A managed engagement, where the sourcing, sequences, deliverability infrastructure and follow-up are built and run for you, is a monthly retainer scaled to volume and target market. The number worth comparing against is the fully loaded cost of an SDR, which is several times higher and takes months to ramp.
Deliverability warm-up alone takes two to three weeks before meaningful volume can go out safely, so anyone promising meetings in week one is either skipping that or sending from domains they are willing to burn. A realistic timeline is first meetings in weeks three to six, with reliable volume from month two once the messaging has been iterated against actual replies.
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