GigaRev / AI lead generation

AI lead generation.
Better context, not more noise.

Connect relevant demand to a useful sales conversation. We help teams scope research, qualification, and handoff workflows so the next record carries evidence—not just a score.

Where we can help

When volume is visible.
But qualification is not.

The constraint may be mixed inquiry types, incomplete account context, slow routing, or disagreement over what sales should accept. Fixing that path can be more valuable than collecting another list of contacts. We begin with your actual acceptance definition.

  1. 01 / Qualification and source review

    Separate account fit, expressed need, engagement, and unknowns. Identify the data sources, consent rules, and exclusions that govern the workflow.

  2. 02 / Research and routing support

    Scope account matching, evidence-backed briefs, inquiry classification, and owned handoffs. Preserve the visitor’s original question alongside any inferred context.

  3. 03 / A seller-feedback loop

    Record acceptance and rejection reasons. Review missed opportunities, duplicate tasks, and exception queues with the people receiving the work.

How we work together

The pipeline starts
with an accountable handoff.

01

Agree what qualifies

Define eligibility and acceptance with marketing and sales. Capture the current handoff baseline and the failure cases that matter.

02

Pilot with review

Run the proposed workflow on a contained scope. Keep account identity, permissions, and deterministic routing separate from model interpretation.

03

Follow the outcome

Measure acceptance and opportunity progression, inspect rejected records, and revise the process before increasing throughput.

Decision rights stay clear

People own
the consequential decisions.

A public contact is not automatically permission for outreach. An AI classification is not proof of budget or buying intent. Compliance, suppression, and account-ownership rules remain explicit human-owned controls. No purchased lead volume or guaranteed pipeline outcome is implied.

What we measure

Evidence we can inspect.

Use eligible inquiries, correct account matches, review workload, time to owner, seller acceptance, qualified opportunities, opt-outs, and downstream progression. Include the cost of enrichment and human verification.

Scope, delivery responsibilities, integrations, third-party costs, and ongoing support are agreed before implementation.

Understand the engagement model
Before we begin

A little more
clarity.

Does this mean fully autonomous outbound?

No. Research and drafting can be separated from external sending. The initial scope can remain review-only, with any outreach subject to approved channel and permission rules.

Can this improve inbound qualification?

That is a suitable workflow to evaluate when inquiries carry useful free-text context. Actual scope depends on your forms, CRM, routing policy, and available data.

How is success different from a bigger lead count?

The focus is accepted, relevant conversations and the quality of the handoff. We also inspect rejection reasons and downstream progression rather than reporting record volume as pipeline.

Let’s move your business forward

Where does growth
need to go next?

Bring us the challenge. We’ll help define the experience, the capabilities, and the first move worth making.

Discuss your growth prioritiesA focused conversation. A practical starting point.
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