Leads arrive as flat CSVs. We close the gap.
B2B revenue teams receive account lists with no context and send generic assets to every prospect. We built composable intelligence to fix that: enrich every account, generate a personalised landing page for each one, and deliver brand-matched assets that match the prospect’s own identity. Each capability works independently. Together they form a demand-generation flywheel you can run in minutes.
Account list in
Upload a target account list. The enrichment engine pulls firmographic signals, intent data, and contact profiles for every row.
Intelligence applied
A framing brief is generated per account. Brand DNA is extracted. A personalised landing page is published, matched to each prospect's own brand identity.
Ready to engage
Your team starts conversations with context already in place. Every account enriched. Every page live. Every asset personalised.
The team
Small team. Focused product. Obsessed with data quality.
We are a small, bootstrapped team. Everyone here has worked in B2B revenue in some capacity: as operators running campaigns, as engineers building enrichment pipelines, as data practitioners responsible for the quality of the records that reach a CRM. We built Relish Demand because we kept running into the same problem from different angles.
Leads arrive as flat CSVs. The enrichment step is manual or bolted on as an afterthought. The assets that follow are generic. The prospect receives an email referencing their company name, a landing page designed for no one in particular, and a whitepaper with your logo where theirs should be. The revenue team works harder to compensate for a gap that should have been closed before outreach started.
We are not a large platform company. We do not have a sales team of a hundred people. We have a focused product, a deliberate architecture, and a strong opinion about the order in which B2B demand generation should work: enrich first, then personalise, then engage. Every capability we build follows that sequence.
The product is bootstrapped and profitable. There is no investor clock pushing us toward growth-at-all-costs decisions. That means we can take the time to get the data quality right, to design the partner experience properly, and to ship only what the use case actually requires.
How we think about B2B data and 1:1 demand.
Enrichment should precede outreach, not follow it.
The standard B2B motion sends a generic sequence first and enriches the replies that come back. We think that is backwards. Every account deserves a framing brief before the first message goes out. A sequence built on context converts. A sequence built on a CSV row does not.
Generic assets waste demand.
A whitepaper with your logo on it lands the same way for every prospect. A whitepaper re-rendered in the prospect’s own brand colours, with copy framed around their industry and intent signals, lands differently. The content is the same. The context changes everything.
Per-account personalisation beats spray-and-pray.
Volume-based demand generation trades quality for reach. We build the opposite: personalised pages and assets calibrated to each account’s identity, sector, and inferred intent. The addressable list is smaller. The conversation it starts is stronger.
Composability is the honest architecture.
Monolithic sales-intelligence platforms bundle capabilities you will never use and price you for the ones you do. We ship three modules: enrichment, personalised landing pages, and 1:1 assets. Each one works standalone. All three chain into a flywheel when you need it. You pay only for what you activate.
See it run on your accounts.
Drop in a website. Watch the engine enrich, frame, and render a personalised landing page in under a minute.