Aria is your SDR. She runs voice, email, and LinkedIn under one identity — so when she emails Marcus then calls, the call opens with the email context. When he replies, her voice remembers the call. Spin up as many named instances as your GTM needs — one per motion, segment, product, or geo — each with their own playbook, all inheriting from the same role memory.
Spin up as many Aria instances as your business needs. Each named instance covers a different GTM motion, book, or segment — inbound triage, enterprise outbound, SMB speed-to-lead, partner co-sell, expansion. Config inherits from the role; each instance overrides. Harmony adapts to your org chart — not the other way around.
Scale up to however many instances you need. Split by motion, segment, product, geo, or language — whatever your GTM motion requires. Every lesson one instance learns, every other instance inherits the next day.
Aria binds all three channels to a single persona memory. When she emails Marcus and then calls, the call opens with the email context. When he replies, her voice remembers the call. One prospect. One relationship. One name on the other side.
Each instance publishes a diffable playbook card: vocabulary (reliability vs efficiency vs compliance), objection library, regulatory guardrails, timezone rules, allowed channels. Manufacturing talks uptime. Healthcare talks HIPAA. EMEA talks GDPR. FinServ talks audit windows. Inheritable → overrideable.
New-job signal at autonomy 85% → Aria sends immediately. Funding signal at 40% → Aria drafts and asks. Churn signal on an open deal → Aria pauses her own sequence, pings Atlas in the Revenue Channel. Each action has its own leash.
When one instance's "reliability opener beats efficiency 2:1 in Manufacturing" gets vouched by a human, it becomes a promoted learning on the role page — visible to every sibling instance, and every new instance spun up after. The graph only gets sharper.
Skip the month of configuration. Aria reads your best reps' recorded calls, parses your won deals, and writes her own ICP, persona playbook, objection library, and signal rules. You review, edit, approve — then she starts booking.
Pick Gong, Salesforce, HubSpot, Outreach, or SalesLoft. One-click OAuth — read-only until you approve more.
Aria reads 247 calls, 53 won deals, 118 hours of audio. Streams findings live as she clusters patterns.
ICP, personas, ranked pain, objection handlers, winning messages, signals, playbooks. Edit anything. Approve per item or all at once.
Pick a leash — conservative, balanced, aggressive. Aria starts staging first-touches against your matching accounts.
Aria reverse-engineers the accounts you actually close — industry, size, revenue, geo — from won deals, not aspirations.
Ranked by won-deal frequency and average sentiment. Champion vs. economic buyer vs. technical gatekeeper — with the role that stalls deals flagged.
Clusters verbatim language from discovery calls. You'll see your buyer's words, ranked by frequency, with example quotes.
For each top objection, Aria drafts the response — pulled from the exact moment in a won call where your best rep turned it.
Top-performing hooks with win-rate, tagged by stage. The generic "AI automation" pitch gets flagged as a loser.
Signal patterns Aria noticed in your won deals — then subscribes to external sources to catch them on new accounts.
Here's where Aria is sharpest, and where other tools in the category are. Everything else is table stakes and we have it too.
Harmony ships four roles on one memory substrate. When Echo's nurture cohort trips intent, Aria has the full nurture history as first-touch context. When Aria books a call, Sage has the prospect's objection pattern queued. When the deal closes, Atlas inherits Sage's call memory and knows what the customer was promised.
That's not a feature — that's the product.
From signal to handoff. The rep never leaves the Revenue Channel.
Cross-referenced with the Revenue Channel: Aria remembers ACME from Q1. Old thesis was reporting speed — new VP may have killed it.
Vocabulary matches the persona playbook: reliability, not efficiency. Autonomy-aware: sends at 85%, asks at 40%.
Same voice. Same memory. When Marcus replies to the email, Aria's voice remembers the call. One identity across every channel.
Sage prepares the rep with Aria's full qualification history. Echo's nurture touches are attached as first-touch context. The AE walks in already briefed.
30-minute demo. We'll plug Aria into a dataset that looks like yours — and show what one instance, scoped to your motion and segment, would book in the first 30 days. Numbers, not slides.