Pipeline built on real buying signals
We build the AI systems that find your next accounts, research them properly, and reach out like a human would, on the CRM and sending infrastructure you already run.
How it works
Most lead gen problems are not creative problems. They are data problems: a fuzzy ICP, stale contact records, no read on who is actually in-market this quarter, and outreach that reads like it was merged from a spreadsheet, because it was. We build custom AI software that fixes the operational layer underneath, scoring accounts against a model trained on your own closed-won history, researching each one before a message is written, and keeping your lists clean enough to stay out of spam folders. It runs on your stack, and you own the code when we hand it over.
An ICP model trained on your actual wins
We turn your closed-won history into a scoring model that ranks every account in your addressable market, not a persona doc nobody reads.
- Learns from your own wins, losses, and churn, not a generic firmographic template
- Scores total addressable market against fit, not just company size
- Separates good-fit-wrong-time from genuinely bad fit
- Re-weights itself as new deals close, so the model does not drift stale
Research and enrichment before anyone sends
Every target account gets read before it gets contacted: what they do, what changed recently, and whether anything suggests they are shopping.
- Pulls funding, hiring, tech-stack, and leadership-change signals into one account brief
- Fills contact and firmographic gaps from licensed sources you already pay for
- Layers first-party intent from your own site, docs, and product telemetry
- Writes a short, sourced brief a rep can actually use on a call
Personalized outreach that survives the spam filter
Sequences drafted from real research and sent at volumes your domain reputation can carry, with consent and suppression handled properly.
- Per-account messaging grounded in the research brief, not spun templates
- Verification, bounce suppression, and list hygiene run before every send
- SPF, DKIM, DMARC, warm-up, and per-domain volume caps enforced in code
- CAN-SPAM and GDPR handling built in: lawful basis, opt-out, and audit trail
Where teams use it
Built for real revenue work.
Outbound teams stuck at a list-building ceiling
SDRs spend more of the week assembling and researching lists than talking to people. Moving research and scoring into software gives the same headcount two to three times the account coverage without adding tools per seat.
Marketing teams sitting on unused intent data
You already buy intent, run a website, and log product usage, but nothing connects those signals to a named account and a next action. We wire the signals into one score and route the accounts that are actually moving.
Companies expanding into a new segment or geography
There is no historical playbook for a market you have not sold into yet. A custom model builds the target universe from first principles and tightens as the first cohort of deals closes.
“We were not short on leads, we were short on the right ones. Having the research and the fit score run before anyone touched an account changed what our SDRs did all day, and the meeting quality moved within a quarter.”
FAQ
Questions, answered.
How is this different from buying a lead gen tool?
A tool gives you someone else's workflow and charges per seat forever. We build a system around how your team actually sources, qualifies, and contacts accounts, connected to the CRM, data sources, and sending infrastructure you already run. The project is a fixed cost and the code is yours at handover, so there is no per-seat AI fee waiting for you at renewal.
Is this the same as Leadify's Lead Management product?
No, and they solve different halves of the problem. Leadify Lead Management is our CRM product for what happens after a lead exists: routing, scoring, follow-up, and pipeline hygiene. This service builds custom software for generating and researching demand in the first place, and it runs on whatever CRM you use, including Salesforce, HubSpot, or Dynamics.
Does AI outreach put my domain or compliance posture at risk?
It does if it is built to maximize send volume, which is why we do not build it that way. Every system we ship enforces verification, suppression lists, per-domain volume caps, and authentication before a message leaves, and it records lawful basis and opt-out handling for CAN-SPAM and GDPR. We will also tell you plainly when a target list or a tactic is not worth the deliverability damage.
How long does a build take, and what do we need to provide?
Most lead generation builds ship in four to twelve weeks depending on how many data sources and systems are in scope. To start, we need read access to your CRM history, your existing data subscriptions, and about two hours a week from someone who knows how your team sells. A dedicated team handles the rest, and you see working software in the first few weeks rather than at the end.
Keep exploring
More from the Leadify platform.
Custom AI Software
The engineering practice behind every build: fixed project cost, dedicated team, and code you own.
AI Agents
Research and outreach agents that work accounts continuously instead of in weekly batches.
Lead Management
Leadify's CRM side of the funnel: routing, scoring, and follow-up once a lead already exists.
Stop buying lists. Build a system.
Bring us your CRM history and we will show you what a fit model and research pipeline would surface in your market.