Research, email and SARAH's voice run as one engine with one memory, on autopilot, from the buyer who shows intent to the meeting on your calendar.
Own your pipeline. Find the buyers who are ready, speak to them in their own language and book the meeting, on one platform that never forgets a conversation.
Each outcome below is delivered by a part of the same platform. The headline is what changes for you; the line under it is how.
Omega Leads researches your market, builds the buying group inside each account and finds the individual people showing intent.
Accounts that cannot buy are suppressed, so the spend and the calls go to buyers who are moving.
SARAH speaks, qualifies and books inside the conversation, then transfers to a person when the work needs one.
A lead is qualified because the conversation and the ledger say so, not because a form did.
SARAH answers in the language the buyer speaks and switches when they do, on a voice link or on the phone.
Global buyers without hiring a team per region.
Omega Studio produces market plans, personas, ad copy, image concepts and SARAH-voiced video; Omega ABM runs account-based campaigns.
Work that typically goes to a creative agency, on the same record as the pipeline.
Proposals are drawn from the live account, and the ledger names the channel, conversation and meeting that created the revenue.
Attribution is a property of the record, not a slide.
Research, email, dialing, voice, booking, proposals and connectors run on one operational database.
One contract, one memory, one place to look.
Most AI sales stacks are a dozen public tools wired together by API to a public model. Every connection is a place it can break, and every tool keeps its own partial memory of your customer.
All of it calls a public model and a public network. When one vendor changes its terms or its API, the workflow stops.
One brain · one memory · hardware we operate
An unbreakable system with one brain that never sleeps, even when your computer is off.
Other stacks sell a research agent, an email agent and an SDR agent as three products with three logins. In Omega they are three jobs done by one SARAH on one memory, in the order a sale actually happens.
Omega Leads builds the list: the accounts that match, the buying group inside them and the people showing intent. The accounts that cannot buy stay off the spend.
We lean into email. Sequences run from your own data, and a message can carry a voice link, so the buyer can talk to SARAH straight from the inbox.
SARAH speaks to the buyer, establishes who decides, what they need and when they will meet, and books it within the call.
The meeting lands on your calendar with the ledger of the call attached. A person takes over with the conversation already in hand.
Intent data has been around for a long time. Tools such as Bombora, 6sense and ZoomInfo are known for company-level intent: they tell you an account is researching a topic.
That is useful, until the account is a global enterprise with hundreds of marketers. Who do you call? Omega finds the individual people who are showing the signal, from their activity on the open web, and puts a name, a role and a reason on the record.
| Company-level intent | Omega | |
|---|---|---|
| What you learn | An account is researching a topic | Which people in it are showing the signal |
| Who you call | Someone in a department of hundreds | A named person with a role and a reason |
| What happens next | A list for a team to work | Email, a voice link and SARAH on the same record |
Frontier and open models are very good at specialized knowledge. What they do not know is who you are.
The harness gives SARAH the context of your business: your ambitions, how your organization operates and what it is for. It keeps one memory of every conversation, and when information is missing, the connectors go and fetch it. Every conversation and every voice agent can be personalized to you.
A public system without a harness can only be the best accountant that is out there. It is not necessarily the best accountant for you.
Chris Ismail, Systems Architect
SARAH speaks 17 languages in a native voice and moves between them when the buyer does, mid-conversation.
We synthesize the voice ourselves, on our own GPUs. The same memory holds the conversation whichever language it was in, so a buyer who switches language is still the same buyer.
Not with Omega and SARAH. Campaigns run with landing pages, questions and assets in the buyer's own language, and a voice link on the page lets the buyer ask SARAH anything in that language.
Everyone is adding agents to the org chart. We went the other way: one SARAH who researches, writes, speaks, books and advises the people she works with.
She is on the telephone, in the browser and on the public number with the same memory, and she transfers to a person when the work needs one. One advisor, not a catalog of agents with a login each.
Marketing, sales and the call share one account of the customer. From the front desk to the CEO, everyone shares one intelligence, each with the persona and the clearance their role allows.
SOPHIA is the connector. She does the work behind the scenes: when SARAH needs something she does not hold, SOPHIA reaches the CRM, the calendar, the ERP or the open web, and writes what was said where it belongs.
Every external call goes through one governed egress with one audit of what left the building.
Others may host an open-source model, or call themselves sovereign. On its own, that is not unique. What a rented stack cannot put together is all of this at once.
The language model, speech recognition and speech synthesis run on GPUs we operate. None of them is a public API.
The switch, the PBX, the WebRTC and SIP gateways and the conference bridge are our own code, with SARAH resident on the switch.
Calls pass between AI and human extensions on one dial plan over SIP, in both directions, with no diversion charge to a mobile.
Traffic runs over a private Layer-2 network, PEIPN, not across the public internet.
Browser, handset, public number, chat and email are the same account of the customer.
Compliance is designed into the architecture: a private network, hardware we operate and an audit ledger on every session.
The documents behind the platform: our values, the architecture and the questions to ask any AI provider.
A call is with the company, not a queue. Mike Farrell and Chris Ismail are who the work comes back to.