Tee up the right convo at the right time via the right path

The signal-led GTM platform for B2B outreach.

Teevia AI is a productized GTM platform that combines intent data, custom signals, AI qualification, trusted paths, and channel-specific plays — with expert guidance when you need it.

The shift

AI made outreach easier. It did not make it more trusted.

The next advantage is not more messages. It is having the data, AI, and operating system to know who is ready, why they matter, how to reach them, and what play to run.

1

Old automation

“Saw your profile. We help companies like yours generate more leads. Open to a quick call?”

Templated. Obvious. Easy to ignore.

2

AI automation

“I noticed your focus on AI, growth, and operator networks. Thought it may be worth comparing notes.”

Better copy. Still cold. Still low trust.

3

Teevia AI

“This account is showing significant signs of intent, fits your ICP, and the best play is a warm intro followed by email.”

Right account. Right reason. Right channel.

Why Teevia is different

Software alone is not the wedge. The system is.

Most tools give you one piece of the workflow. Teevia AI becomes the data and AI layer behind your B2B outreach: sourcing signals, qualifying accounts, mapping paths, preparing plays, and helping refine the system over time.

Platform first

Teevia AI gives your team a repeatable opportunity engine — not a one-off consulting workflow.

Configurable signal layer

Use established intent data, custom scrapers, and market-specific sources inside one productized flow.

AI qualification engine

Turn your ICP into repeatable scoring, exclusions, sales complexity, buyer context, and recommended motion.

Sales-ready handoff

Sales gets prioritized accounts, context, recommended channel, conversation play, and next step.

Productized GTM engine

A platform that creates sales-ready opportunities from messy market signals.

Teevia AI is not a lead list or an outbound agency. It is a productized system for sourcing signals, qualifying accounts, mapping paths, recommending plays, and handing your sales team the context to act.

Signal engineConnect established intent sources and custom signals into one opportunity flow.
AI qualificationScore fit, exclusions, sales complexity, buyer context, and recommended motion.
Path and play engineMap trusted routes, choose the right channel, and recommend the conversation play.
Sales-ready queueYour team gets prioritized opportunities with the account, reason, channel, and next step.

Getting started

From GTM consultation to live opportunity flow.

Teevia AI is productized, but every market has its own signals, buyers, channels, and trust paths. Getting started turns your GTM thesis into a working system.

01

Initial GTM consultation

A 1–2 hour working session to understand your ICP, offer, sales motion, current tools, signal ideas, relationship network, and growth constraints.

02

Strategy + implementation plan

We define the signal strategy, AI qualification logic, data sources, channel plays, trust-network approach, and launch plan. Setup typically takes 1–4 weeks depending on complexity.

03

Launch + ongoing refinement

Teevia AI begins delivering prioritized sales-ready opportunities. From there, we review signals, refine scoring, improve plays, and keep tuning the system over time.

Intent sources

Use the obvious signals — then we build the ones no one else has.

We use established sources where they help, then layer in custom scrapers, technical signals, and vertical-specific data when your market requires a sharper edge. The goal is to build your outreach intelligence system, not just buy another list.

Apollo, Bombora, Gojiberry, and moreEstablished sources selected by ICP and market.
Custom scrapersReddit, LinkedIn, niche directories, event lists, association sites, and permissioned sources.
Public records and permitsCounty-by-county directories, filings, licenses, bid boards, grants, and expansion clues.
Technical product signalsGitHub stars, commits, contributors, issues, releases, and developer activity.
Momentum signalsHiring, funding, growth expansion, leadership changes, and new locations.
TechnographicsTools, frameworks, CRMs, cloud providers, and systems a company appears to use.

The operating model

Data + AI + Motion.

Data

What signals suggest timing, need, or adoption?

AI

How should we qualify, research, and prioritize it?

Motion

Which channel and play should sales run?

Expert-guided product layer

Software at the center. Expert guidance around it.

Teevia AI is built to feel like a product, not a consulting engagement. The expert layer exists to help configure, review, and improve the system so the platform gets smarter for your market over time.

Included product review

  • Review new signals and opportunity quality
  • Tune ICP scoring and exclusions
  • Improve routing, channels, and plays
  • Identify what is producing traction
  • Refine the product workflow around your market

Your network + their extended trust network

Turn relationships around the company into a repeatable growth asset.

Build a managed trust network: internal team, customers, advisors, partners, investors, trusted industry friends, and SMEs willing to help when the reason is real.

5team members
25trusted champions
2k–5kreachable relationships

Beyond outreach

Use the right channel and conversation play.

The right motion depends on the ICP. Sometimes it is LinkedIn. Sometimes it is email, a physical mailer, a warm intro, a podcast invite, or a high-touch ABM play.

Warm intro

Ask a champion or SME to tee up the conversation.

Email motion

Use email when the buyer or context calls for a direct written approach.

Physical mailer

Create a high-touch reason to pay attention before the digital follow-up.

Podcast invite

Invite the buyer into a thoughtful market conversation.

Expert interview

Start with curiosity and insight gathering.

Private roundtable

Gather peers, SMEs, and buyers around a shared problem.

How the product works

From raw signals to a prioritized opportunity queue.

01

Build the data layer

Blend established intent sources with custom scrapers, technical signals, hiring, funding, growth, and technographics.

02

Apply the AI layer

Use ICP logic, exclusions, fit scores, sales complexity, research prompts, and recommended outreach motion.

03

Prepare the motion

Choose the trusted path, best channel, strongest play, and buyer context.

04

Hand off to sales

Your team works the prioritized queue while Teevia AI keeps improving the signal, scoring, and motion logic.

Example output

Not just a lead. A sales-ready opportunity.

Teevia AI gives sales the account, signal, buyer context, channel, and recommended play.

Early access now open

Give your sales team a productized AI engine behind every outreach motion.

Join the early access list for Teevia AI. We are looking for teams that want a productized AI system for signals, scoring, paths, and plays — so sales can focus on conversations instead of list-building, scraping, scoring, and workflow setup.