Partner Story ยท in conversation with Daniela Mrejeru, founder and CEO of Alleria AI, Inc. This is a written interview submitted through Submit Your Story. The claims below are her own, presented as they were given to us. No payment was involved.
Daniela Mrejeru, founder and CEO of Alleria AI, Inc. Photo: courtesy of Daniela Mrejeru.
When Daniela Mrejeru was setting up her company, she needed one document before she could do much else: an Employer Identification Number, the tax ID every US business has to have.
She waited almost three months for it. The process seemed to be taking longer than expected, so she kept waiting.
Then she found out it had been sent six days after she applied.
"For almost three months, the information I needed had been sitting in my inbox," she says. "I hadn't lost the email. Nobody had forgotten to send it. The information was there all along. I simply hadn't recognized it among everything else."
That experience became PriorityEngine, the first product of her company, Alleria AI, Inc.
An organized inbox is not an understood one
Mrejeru's point is that email software has become very good at delivering and sorting messages, and not much better at telling you what they mean.
Folders, spam filters, keyword search and threaded conversations all help. "But an organized inbox doesn't automatically mean that someone understands what is happening inside their business."
She asks you to picture 500 emails in a day. One is a routine update. One is a customer reporting a problem. One is a supplier warning about a late delivery. One is a chance to work with a new client. "They are all emails, but they don't have the same business significance."
The real cost, in her view, is not the number of messages. It is that someone has to read and interpret every one of them to find the few that need a decision. For a small business owner, that someone is usually the owner.
What the owner sees in the morning
PriorityEngine connects to Gmail or any IMAP mailbox, and it can watch several inboxes at once. Once the accounts are synchronized, it sorts the analyzed messages into business categories instead of a plain list by date.
The owner can see straight away which messages may need attention, a reply, a review or a follow-up. For each one, PriorityEngine says what kind of signal it found, a customer issue, a possible deal, something that needs a decision, explains why it considers the message important, and suggests a next step: reply, review, investigate, monitor, or ignore.
During setup, the business tells PriorityEngine its industry, its type of business and its business model, because the same email can mean different things to different companies.
The decision stays with the person. "The user remains responsible for deciding what to do," Mrejeru says. "When someone opens PriorityEngine, they should spend less time searching for what matters and more time acting on it."
The email that looks routine
Asked for an example, Mrejeru is careful. Her own tax ID story is real, she says, but PriorityEngine did not exist yet to read that message.
So she describes the kind of case the product is designed for. A supplier sends what looks like an ordinary delivery update. Most of it is routine. But somewhere in the middle, the supplier mentions that a shipment will be late, and that the delay could hit an important customer order.
"A traditional inbox displays the email," she says. "PriorityEngine is designed to recognize that the message may contain an operational issue, identify the relevant information, and bring the situation to the user's attention."
For a business, that is the difference between hearing about the delay in time to call the customer and hearing about it from the angry customer.
"I don't believe AI should make every business decision. But I do believe it can help people notice situations that deserve a decision."
The engine underneath: BSOS
Behind PriorityEngine is an engine Alleria AI calls BSOS. Mrejeru did not want a system that hunts for keywords, because people rarely use the expected word.
"A customer might describe a problem without using the word 'complaint'. A potential buyer might express commercial interest without explicitly saying they want to purchase something."
BSOS reads written communication for business meaning: it pulls out the relevant facts, recognizes the signal, estimates the possible impact and gives a recommendation with an explanation.
While building it, she realized email was only one place this problem lives. Support tickets, internal reports, customer feedback and documents carry the same kind of buried information. So the company opened the engine to developers through the BSOS Developer Portal. Send it a piece of text through the API, and it returns structured results, classification, business impact, whether attention is needed, priority and a recommended action, that another application can use to route, escalate or create a task.
PriorityEngine and the BSOS Developer Portal are now two separate products built on the same intelligence.
Where it stands today
Alleria AI is at an early commercial stage, Mrejeru says. PriorityEngine is live and available to businesses, with a free start, and the developer portal is open to organizations and developers.
The product is not tied to one industry. A retailer, a manufacturer, a logistics company or a professional services firm all have the same problem: the important message arrives in the same place as everything else. The company is now building distribution partnerships to reach more of them.
"For me, the important milestone is that the technology is no longer just an idea. The products exist, and businesses can explore and use them."
The lesson: business owners don't wake up thinking about semantic analysis
The biggest thing building Alleria AI has taught her, Mrejeru says, is that making the technology and explaining why it matters are two different jobs.
"When you spend a long time developing a system, you naturally start thinking about architecture, intelligence models, classification. But most business owners don't wake up thinking about semantic analysis. They think about customers, deadlines, payments, employees, deliveries, and the decisions they need to make."
She has also learned that a business does not always start with a market study. Sometimes it starts with a frustrating morning and a three-month wait for a document that was already there.
"Sometimes the information you're waiting for isn't missing," she says. "It's already there. You just haven't recognized it yet."
PriorityEngine is at priorityengineai.com.
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This is a Partner Story: a written interview with a founder building with AI, submitted through Submit Your Story and published free of charge. Statements about the company's products, capabilities and plans are its own. Building something with AI? Tell us about it.
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