EVIDENCE-BACKED OUTBOUND FOR B2B TEAMS
Nolina turns your buying hypothesis into live prospecting. Define the signals that matter in your market, find companies showing them now, verify the evidence, identify the right buyer and work contact, and turn that context into personalized outbound.
Built for B2B founders, RevOps, and sales teams.
✓ Every message starts with a reason. Every reason has evidence.
“Find B2B SaaS companies that hired a VP Sales, are expanding SDR hiring, and recently complained about data quality.”
Hi Maya —
I saw you’re replacing your sales stack and thought this might be relevant.
I saw your comment about stale prospecting data and thought this might be relevant.
01 Nolina blocks what it cannot prove — then rewrites from the evidence.
ONE PRODUCT · THREE REASONS TO BUY
Founders get research compression. RevOps gets a governed decision layer. Sales teams get a short queue of opportunities with a verified reason to act.
FOUNDER-LED GTM
Tell Nolina what a good buying moment looks like. Get back a short list with the evidence, buyer, work contact, and message angle already prepared.
Start a Search✓More conversations. Less prospect research.
EXAMPLE OUTPUT · FICTIONAL ACCOUNT
Nolina compresses the account, evidence, buyer, contact, and message angle into one object your team can inspect and act on.
See the EvidenceB2B SaaS · Sales infrastructure
01 New VP Sales
02 7 SDR roles open
03 Public data-quality comment
Fact and inference shown separately.
VP Sales
LinkedIn profile ✓
A CONTACT IS NOT A REASON TO REACH OUT.
YOUR BUYING HYPOTHESIS
You tell Nolina what tends to happen before someone needs your product. Nolina turns that hypothesis into observable conditions it can search and verify.
“Find B2B SaaS companies that hired a VP Sales, are expanding SDR hiring, and recently complained about prospecting data quality.”LAST 45 DAYS
EVIDENCE RIGHTS
Nolina keeps facts, observed events, and inference separate. If the evidence cannot support a claim, the message is blocked or rewritten before it reaches a buyer.
Direct public statement
“I saw your comment about stale prospecting data…”SPECIFIC OPENER ✓
Observed company event
“I noticed your team is hiring seven SDRs…”EVENT OPENER ✓
Strong fit, no fresh evidence
“Revenue teams often lose time to stale data…”PROBLEM-LEVEL ONLY
TWO HONEST PATHS
A strong ICP match is useful, but it is not proof that something happened. Nolina changes the message according to the evidence available.
Use a specific contextual opener tied to the verified event.
“I saw your comment about stale prospecting data…”SPECIFIC OPENER ALLOWED ✓Stay at the role and problem level. Do not imply an event occurred.
“Revenue teams often lose time to stale prospecting data…”NO FABRICATED EVENT ✓EARNED AUTOMATION
Fit, evidence, claim guardrails, review, delivery, and replies stay connected. Start with human approval and expand automation only after Nolina proves it understands your standards.
Supported language only.
APPROVED ✓“This is relevant. Can you send over a few times?”Route to owner →
Outcome updates future review thresholds and message policy.
↺A STRONG FIT WHEN
Nolina works best where outbound is deliberate, the buyer is identifiable, and real buying moments leave evidence.
Account-based prospecting is a meaningful growth channel.
Your ICP and the roles involved can be clearly defined.
Hiring, role changes, public statements, or market shifts precede a purchase.
One qualified opportunity is worth the research and verification.
Bulk B2C outreach or teams optimizing only for send volume.
QUESTIONS, ANSWERED
A contact database tells you who someone is. Nolina focuses on why this buyer may be worth reaching right now — and shows the evidence behind that reason.
Hiring, role changes, public statements, funding, website changes, competitor pain, and custom patterns that are observable and relevant to your market.
Nolina can still qualify the account by fit, but it will not invent an event. Outreach stays at the role and problem level.
Nolina separates supported facts from inference and checks message claims against the evidence available for that prospect.
Automation can expand as trust is earned. The product is designed around review, controlled execution, suppression, timing, and delivery state.
Apollo helps you find who to contact. Nolina focuses on why this account may be worth contacting now and shows the evidence behind that decision.
You can assemble a research workflow in Clay. Nolina provides an opinionated path from buying hypothesis to verified opportunity and evidence-backed outreach.
No. Nolina can act as the decision and evidence layer between your data sources and outbound execution.
EVIDENCE-BACKED OUTBOUND
Tell Nolina what a real buying moment looks like in your market.