Tellora is an AI sales OS for SaaS startups. It combines prospecting, calling, email, and pipeline management in one app. An AI agent enriches prospects, scores leads by ICP fit, and handles notes, follow-ups, and deal updates automatically after every call.

Does Tellora have a built-in dialer?

Yes. Tellora includes a built-in sales dialer with live transcription and AI-generated call summaries. When you hang up, notes are written, deals are updated, and follow-up tasks are created automatically.

How does Tellora's AI agent work?

Tellora uses a LangGraph-based AI sales agent that listens to every event: calls, emails, SMS, and meetings. It contextually updates heat scores, creates tasks, and moves deal stages. You don't set up sequences or automations. The agent acts based on what actually happened.

Is Tellora a HubSpot or Salesforce alternative?

Tellora is built for SaaS startups that want an AI-native alternative to HubSpot or Salesforce. It has far less complexity, includes a built-in dialer and prospecting tools, and lets AI handle the CRM admin work so your reps focus on selling.

How much does Tellora cost?

Tellora offers a free plan with 100 prospect imports per month. Early Bird paid plans start at $19/month (Pro, 5,000 imports/month) and $39/month (Team, unlimited imports). Rates will increase after the early access period.

The Best AI Lead Enrichment Tools for SaaS Startups in 2026

If you are a founder or a sales leader at a B2B SaaS startup, you know the drill. You find a list of target accounts on LinkedIn or export a CSV of prospects from Apollo, but the data is half-baked. You are missing direct dials, current funding rounds, or the specific developer tools they run on their site. This is where AI lead enrichment tools come in, saving your reps from spending half their day playing detective instead of selling.

Relying on static spreadsheets is a recipe for high bounce rates and wasted hours. Data decays at roughly 30 percent per year as people change jobs and companies rebrand. To stay competitive, you need automated lead enrichment software to keep up.

But setting up complex multi-tool stacks with third-party automation tools and separate CRMs is a massive headache for a small team. You spend more time managing APIs than actually talking to prospects.

Here is a look at the best options for SaaS startups in 2026, and how to choose the right setup for your team.

The Three Pillars of Modern Lead Enrichment

To get a clear picture of a prospect, you need more than just an email address. You need three types of data:

Firmographics: Company size, location, and funding stage.
Technographics: The software, frameworks, and tools they use to run their business.
Buying Signals: Active hiring trends, recent executive hires, and news events.

Most traditional B2B data enrichment tools focus solely on static contact details. Modern platforms, however, combine these three pillars to give you a complete picture of who to target and when.

Top Lead Enrichment Platforms Compared

1. Clay: The Powerhouse for Sophisticated Builders

Clay is the gold standard if you want to build highly customized, multi-source data tables. It acts like a spreadsheet on steroids, letting you run waterfall enrichment across dozens of data providers like People Data Labs, Hunter, and GitHub.

The Good: You can pull almost any data point imaginable. If you want to find every company using React that recently hired a VP of Product and has more than 50 employees, Clay can do it.
The Catch: The learning curve is steep. If you are a solo founder or a lean team, you might find yourself spending hours configuring tables, mapping APIs, and burning through expensive credits just to get a clean list. It is an incredibly powerful engine, but it requires a dedicated operator to run it.

2. Apollo.io: The All-in-One Database

Apollo remains the default starting point for most SaaS startups because of its massive database of over 275 million contacts.

The Good: It is cost-effective, easy to use, and combines prospecting with basic email sequences. You can search by industry, title, and geography, then immediately push those contacts into a campaign.
The Catch: The data quality is hit-or-miss. Because it is a static database, you will hit outdated job titles and bounced emails. Its built-in enrichment is decent for basic firmographics, but it lacks the deep, real-time web scraping and contextual synthesis that modern AI tools offer.

3. FullEnrich: The Waterfall King for Mobile Numbers

If your sales process relies heavily on cold calling and you need accurate direct dials, FullEnrich is a top contender. It queries multiple data sources in real time to find the best possible phone number or email address.

The Good: It uses waterfall enrichment with triple email verification, which dramatically reduces bounce rates and increases connect rates for sales reps.
The Catch: It is a point solution. It solves the contact info problem beautifully, but it does not tell you why you should call them today, nor does it track the relationship after the call.

4. Tellora: The Native AI Sales OS for Startups

Instead of buying a database, an enrichment tool, a sequence builder, and a CRM, Tellora brings everything into a single, unified system. It is built specifically for SaaS startups and founder-led sales teams who do not have the time to stitch together five different platforms.

Instead of writing complex API queries, you simply import your prospects from Apollo, LinkedIn, or a CSV. Tellora automatically runs AI data enrichment SaaS workflows in the background. It scrapes the web for the prospect's tech stack, recent funding rounds, and active hiring signals.

Then, Gemini synthesizes these signals to generate a single "signal score," ranking your prospects by how well they fit your Ideal Customer Profile (ICP).

But the enrichment does not stop at the contact record. In Tellora, enrichment is alive:

Dynamic Lead Heat Scores: A built-in sales agent listens to every touchpoint (calls, emails, SMS, meetings), updates its memory of the relationship, and assigns a heat score from 0 to 100 with a concrete next action. It is not a static sequence; it re-evaluates the relationship after every single interaction.
Unified Workspace: With a built-in dialer, live transcription, calendar sync, and a unified inbox, your reps never have to jump between tabs.
Plain English Reporting: You can ask your pipeline questions like "Which leads in our pipeline are currently hiring developers?" and get immediate answers from live, enriched data.

How to Automate Lead Enrichment Without the Complexity

If you are trying to figure out how to automate lead enrichment, you have two paths.

The first path is the modular approach: buy Apollo for the database, Clay for lead enrichment automation, and HubSpot as your CRM. This gives you maximum customization, but it costs thousands of dollars a month and requires constant maintenance. When an API changes, your pipeline breaks.

The second path is the unified approach: use a system like Tellora that handles the enrichment, the CRM, and the engagement in one place. By automating the data enrichment at the point of ingestion, your reps always have fresh data without having to build complex workflows.

For early-stage SaaS startups, the unified approach is almost always the better choice. It keeps your sales stack simple, your data clean, and your costs low. Tellora even offers a genuinely usable Free plan, so you can start enriching and closing deals without any upfront financial commitment.