AI for Apollo · Sales Prospecting
AI employees that actually work inside Apollo.
Apollo holds the data, but turning it into pipeline is manual work: building lists, enriching contacts, deciding who to contact, and writing the first message. Cyndra AI employees handle that work, so prospecting runs continuously instead of in bursts when a rep has a free hour.
Built for: Sales teams building pipeline with Apollo
Can I get an AI agent that works in Apollo?
Yes. Cyndra deploys AI employees that work inside Apollo, connecting via the Apollo API to build ICP target lists, enrich and verify contacts, route hot leads, and draft personalized openers. They live in Slack and Teams, act under your approval, and audit-log every action. Apollo is one of 1,000+ integrations.
Why this matters
Apollo is the system of record. Cyndra is the worker.
Prospecting stalls because the prep work is tedious. Building a clean list, enriching it, picking the right contacts, and writing specific openers takes hours most reps don't have, so it gets done in rushed batches and the pipeline suffers. An AI employee that runs the prep continuously turns Apollo's data into a steady flow of ready-to-contact accounts.
What Cyndra does in Apollo
5 workflows your team is probably doing by hand right now.
- 01
Build target lists from your ICP
Give the AI employee your ICP in plain English and it builds a ranked Apollo list of accounts and contacts that match, with the buying signals that matter. Reps start prospecting from a ready list instead of building one from scratch each week.
- 02
Enrich and verify before you contact
The AI employee enriches each contact with the data you need and verifies emails so bounces don't wreck your deliverability. You contact clean, complete records, and your sender reputation stays intact.
- 03
Route hot leads instantly
When intent or engagement signals light up, the AI employee alerts the right rep in Slack with the context and a drafted first touch, so the warmest accounts get worked first instead of waiting in a shared queue.
- 04
Draft personalized openers
For each contact the AI employee drafts a specific opener using the prospect's role, company, and a relevant trigger, ready for the rep to approve. Personalization stops being the thing that never gets done because there's no time.
- 05
Weekly prospecting digest
Each week the AI employee posts how many net-new contacts were added, how many were enriched and verified, and which accounts are hottest. Pipeline generation becomes a measurable, steady number instead of a vibe.
How we connect
Direct Apollo integration, no middleware, no lock-in.
Cyndra connects to Apollo through its API with access scoped per AI employee, for example the people and company search and enrichment data a role needs. Credentials live server-side, never in the model context. Exporting or contacting can be gated behind human approval, and every action is written to an audit log.
Sample deployment
What a real Apollo engagement looks like.
A 6-SDR team deployed Cyndra inside Apollo over two weeks to turn prospecting from a weekly scramble into a steady flow. Week 1: OAuth, ICP list building, and enrichment. Week 2: opener drafting and the weekly digest. After 60 days, net-new verified contacts per rep per week roughly doubled, openers went out personalized instead of generic, and reps spent their time on conversations, not list-building.
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FAQ
Apollo + Cyndra, answered.
Does Cyndra replace Apollo?
No. Apollo stays your prospecting data source. Cyndra is the AI employee that builds lists, enriches contacts, routes hot leads, and drafts openers. Every action can wait for your approval, and every action is logged.
How is this different from Apollo's built-in AI?
Apollo's AI offers in-app suggestions for emails and summaries inside the Apollo UI. Cyndra AI employees are role-specific agents that work across Slack and Teams, take multi-step actions inside Apollo and your CRM, and run prospecting as an ongoing job under human approval. Think of Apollo's AI as a writing helper; think of Cyndra as a teammate building your pipeline.
Can it build lists on its own?
It builds and proposes lists from your ICP, but you approve what gets contacted. Each AI employee runs in Supervised, Semi-autonomous, or Autonomous mode, so you decide how much runs on autopilot.
Does it verify emails before contacting?
Yes. The AI employee enriches and verifies contact data before anything goes out, protecting your deliverability from bounces. You contact clean records, not guesses.
How does Cyndra handle prospect data?
Every AI employee runs with scoped access and reads only what its role requires. Credentials live server-side, never in the model context, and nothing is used to train shared models without your explicit opt-in. Every action is audit-logged.
Work with us
Put AI employees to work inside
Apollo.
A free 30-minute call to scope your Apollo deployment. We map the highest-ROI workflows and give you a custom quote.