◈ Lead generation

Capture every lead.
Pay only for
the work it took.

A lead business lives on throughput and unit cost: how many forms you can serve, how quickly a lead is enriched and scored, and what each step costs. Compute runs that pipeline on machines billed by the second and models billed by the token, both priced under the leading cloud for the same thing.

Used by lead-generation businesses, in-house demand teams and the agencies that serve them.

30%
Under the leading cloud on CPU instances
Per-second
Billing for enrichment jobs
Per-token
Scoring and qualification
Zero
Commitments

What this looks like in practice

◆Landing pages, quizzes and lead forms◆Form back ends and validation services◆Lead enrichment and de-duplication jobs◆Scoring and qualification with AI◆Routing and distribution to buyers or sales teams◆Consent records and suppression lists◆Partner and buyer reporting portals◆Landing pages, quizzes and lead forms◆Form back ends and validation services◆Lead enrichment and de-duplication jobs◆Scoring and qualification with AI◆Routing and distribution to buyers or sales teams◆Consent records and suppression lists◆Partner and buyer reporting portals
What holds true here

Four things you stop arguing about

◆

Unit cost you can see

Every step in the pipeline has a published price. What a lead costs to process is arithmetic, not an estimate.

◇

Capacity that follows volume

Enrichment and routing on Compute Instances billed by the second. A spike in traffic does not leave a reservation behind.

◈

Qualification by model

Read free-text answers and classify intent with AI inference at 30% under the leading cloud’s model service for the same model.

○

Records you can produce

Consent, source and routing kept in CosmoBase, so the question of where a lead came from has an answer.

The shift

Infrastructure becomes a known cost per lead

In a business priced per lead, infrastructure that bills by the month is a fixed cost pretending to be variable. Moving to per-second machines and per-token models turns it back into what it should be: a small, known amount attached to each lead.

The usual arrangement
  • ✕Servers sized for the busiest campaign of the year
  • ✕Enrichment spend that nobody can attribute
  • ✕Scoring rules maintained by hand and rarely updated
  • ✕Consent records scattered across tools
  • ✕A cloud bill that does not move with volume
What replaces it
  • ✓Machines that run when the leads arrive
  • ✓A per-lead infrastructure cost on one bill
  • ✓Qualification by model, reviewed by people
  • ✓Source and consent in one queryable place
  • ✓A bill that rises and falls with the work
What you can count on

Stated plainly, and qualified

30%
Under the leading cloud on CPU
Same vCPUs and memory, cheapest the leading cloud match
30%
Under the leading cloud’s managed databases
Per database-hour on CosmoBase
Per-second
Machine billing
No reservation, no minimum term
Queryable
Lead history
Source, consent and routing
Closer in

Lead Generation, specifically

What a lead actually costs to process

Serve the form, validate it, enrich it, score it, route it, record it. Each of those is a machine second, a token count or a database-hour with a published price. Add them up and you have the infrastructure cost of a lead, which you can set against what the lead is worth. Few lead businesses can do that on their current bill.

Forms that keep up

Pages on Panel and form back ends on Nexus, deployed from git and close to the people filling them in.

Queues between the steps

Cloud Services queues hold leads between enrichment, scoring and delivery, so a slow buyer endpoint does not lose anything.

Portals for buyers

Reporting and delivery portals for partners, hosted on Panel and backed by CosmoBase.

Domains by the dozen

Register and manage campaign domains and their DNS in the same account as everything else.

Against the leading cloud

Lead Generation on Compute, against the leading cloud

4 vCPU / 8 GB server
$0.0941/hr
Leading cloud $0.1344/hr · Its cheapest machine with 4 vCPU and 16 GiB
30% less
Database
$0.0112 / database-hour
Leading cloud $0.016 / database-hour · Managed database, smallest instance
30% less
General & code model — input
$0.105 / million tokens
Leading cloud $0.15 / million tokens · The same open-weight model, input tokens
30% less

Compared with the leading cloud's own published on-demand prices, US East. Every comparison.

Questions we are actually asked

Answers without the hedging

Do you generate leads for us?+

No. Compute is the infrastructure your lead generation runs on. The campaigns, buyers and rules stay entirely yours.

How do we handle consent and data protection?+

Where data is stored, who may reach it and how long it is kept are things you configure and we hold to. Your obligations under data protection law remain yours, and we will answer plainly about what the platform does to support them.

Can we handle sudden traffic from a large campaign?+

Capacity is added by the second and billed by the second. You are not buying for the peak in advance and you are not paying for it afterwards.

Is there a minimum spend?+

No minimum and no commitment. The included allowances cover a small operation entirely, and usage is billed at published prices beyond them.

Other industries

Where else this goes

AI Agents

Run agents, the tools they call and the models behind them on one platform, billed by the token and the second, for less than the same work costs on the leading cloud.

Customer Acquisition

Host the landing pages, attribution pipelines and onboarding flows that bring customers in, and spend less on the infrastructure than you would on the leading cloud.

Marketing

Run campaign sites, personalisation, content pipelines and marketing data on one platform that costs less than the leading cloud for the same machines and models.

Sales

Run CRMs, sales data, call analysis and AI assistants on one platform, priced under the leading cloud for the same machines, databases and models.

Creator Economy

Host creator platforms, media processing, storefronts and AI tools on infrastructure that bills by the second and costs less than the leading cloud for the same machines.

SaaS

Run your product, its databases, CI and AI features on one platform that costs less than the leading cloud for the same machines, databases and models.

Start where it matters most

Begin with one workload. Keep what you have running. Decide whether to continue once you have seen it carry something real.

No migration required to begin. Nothing to tear down if you stop.