Moody Abdul has spent much of his career studying the minutes that vanish after a conversation ends. The meeting finishes; somebody still has to write the recap. The professional closes a session; notes, forms, letters and follow-up remain. This is the unphotogenic country of modern work, all loose ends and open tabs. Abdul keeps building companies there.
His route to Klarify, the Toronto company he co-founded with Alexander Bergholm in 2024, looks less like a sudden conversion than a sequence of increasingly specific questions. At LinkedIn, Abdul worked with organizations on B2B marketing and enterprise sales. Y Combinator's profile of him credits those years with $20 million in enterprise contracts. His own earlier coaching business, founded in 2017, concentrated on presentation, communication and marketing strategy. Before writing software for workflows, he was learning how people explain what they need.
In 2023 he left LinkedIn to start Circleback with Ali Haghani and Kevin Jacyna. The company tackled a familiar irritation: online meetings generate decisions, promises and action items, yet the record is often a half-legible page of notes or nothing at all. Abdul described the opportunity in terms of time - people spending roughly 21 hours a week in virtual meetings - and follow-through. Circleback used AI to produce organized notes and action items. It was an early lesson in what happens when conversation becomes structured material.
“The complexity accumulated one tool at a time.”Moody Abdul
Follow the artifact downstream
The useful thing about a note is rarely the note itself. A note prompts a task, informs a plan, becomes a letter, supports a claim or prepares the next conversation. Follow that artifact downstream and a tidy feature begins opening doors into an entire operating system. This is the bridge between Abdul's first startup and his second.
The spark for Klarify arrived when a therapist asked about using his previous meeting product and showed him the administrative side of the job. Abdul had come from meeting software. What caught his attention was the amount of work surrounding the appointment: documentation, reports, scheduling, payment, insurance and the small-business machinery that sits behind an independent practice. The core conversation may last an hour. Its paperwork has fewer manners.
Klarify first made sense as an AI scribe. It could turn a session recording into structured documentation. But the company's public product now stretches well beyond transcription: treatment plans, clinical letters, between-session resources, supervision preparation, insurance workflows and client discovery. By June 2026, its Y Combinator page reported roughly 8,300 therapists using the platform. The interesting number is not merely adoption. Abdul told Tech Times that 71 percent of usage involved jobs beyond notes. The wedge had become a corridor.
There is a founder's playbook hiding in that progression. Enter through one frequent, painful task. Build enough context to understand what comes next. Expand along real handoffs instead of a speculative roadmap. The attraction of vertical AI is not that it can perform a parlour trick in professional vocabulary. It is that one system can learn the relationships between the jobs that generic software treats as separate islands.
The Abdul workflow thesis
A boundary becomes the architecture
Abdul's public argument for AI is defined by a line. The software can prepare, organize, suggest and automate. The professional remains responsible for judgment. In Klarify's case, that means clinicians approve clinical output, while the system handles work around the session. “Technology should carry the load around the work, never become the work,” he has said.
Boundaries can sound timid in a technology market fond of conquest. Here the boundary is useful. It tells the team what to automate, what to present for review and where trust belongs. It also supplies the product with a moral vocabulary that doubles as practical design: the machine may draft; the practitioner decides.
Privacy follows the same logic. Abdul argues that it cannot be treated as a slogan. Klarify says it does not train models on therapist notes or client data, and the practitioner keeps control of outputs. This matters because vertical software earns depth by receiving context. The more useful a system becomes, the more carefully it must explain what it keeps, what it deletes and who controls the result. A clever demo wins attention. A legible policy keeps it.
“What disappears is administration. What becomes more valuable is presence, judgment, and trust.”Moody Abdul
The microphone beside the product
Abdul also hosts The Future of Therapy Podcast. The show's site says its podcast and newsletter reach more than 98,000 therapists across North America. Guests include clinicians, practice owners, researchers and people working on the systems around the profession. It is easy to call this content marketing and move on. That misses the more interesting mechanism.
A founder-led interview show creates proximity. It teaches the host how a community describes its work when nobody is clicking through an onboarding screen. It reveals recurring nouns, quiet objections and the distance between a buyer's stated problem and a Tuesday afternoon. Each episode can become distribution, but it can also become customer research conducted with better manners.
This is where Abdul's old coaching site feels less like a detour. He wrote about storytelling, vocal control, audience engagement and the art of communication. At LinkedIn he advised organizations on marketing. At Circleback he built around what a conversation should produce. At Klarify he interviews the people using the product and, according to the company, reads every piece of feedback. The medium changes. Listening remains the operating habit.
The second-time founder's advantage
Klarify entered Y Combinator's Spring 2026 batch with four people listed on its company profile. Abdul is described there as a second-time founder. That phrase can imply a suitcase full of secret knowledge. The more believable advantage is simpler: the second time, a founder knows where the boring trouble lives.
He knows that a product must survive contact with security questions, implementation details and the customer's existing stack. He knows a note generator is judged not only by the prose it produces but by the next five things the user must do with that prose. He knows distribution is not a launch-day event. A podcast, weekly customer conversations and a precise public thesis create a repeated way of entering the market.
There is also an operator's instinct in the way Abdul frames progress. His public explanations tend to begin with the customer's day, not the model's abilities. The notes are late. The tools do not speak to one another. A professional spends the evening assembling the evidence of work already completed. This language travels because it can be pictured. It is the difference between describing a technical capability and showing somebody the Tuesday night it might improve.
That habit has roots. His coaching work promised that people could improve a presentation through storytelling, vocal control and audience engagement. Enterprise sales demanded the same translation at a larger scale: turn complexity into a decision another person can comfortably make. In a young company, those skills collapse into one job. The founder listens to customers, narrows the product, recruits colleagues, answers skeptical buyers and retells the purpose until the market can repeat it without him. Abdul has been rehearsing that job in several forms for nearly a decade.
The YC sprint sharpened the pitch. Practice-management software historically recorded what professionals did. Klarify's claim is that an AI system can begin doing parts of the administrative workflow itself. This is a modest grammatical change, from record to act, with large product consequences. A database can tell you a claim was denied. An operating agent can help prepare the appeal.
Abdul's larger forecast is that post-AI software will solve many connected problems for one specific profession. The idea is already visible in Klarify's expansion beyond notes. Yet the company's clearest asset may be its restraint. It does not need to own the core human exchange to build a broad business. The perimeter is crowded enough.
Attention is the actual product
Software companies often sell time savings because time fits neatly into a calculator. Abdul talks just as often about attention and presence. Those are harder to graph, but they explain why the administrative perimeter matters. A task can consume ten minutes and occupy the mind for an hour. An unfinished form is a very small object with excellent haunting skills.
Seen this way, Circleback and Klarify belong to the same argument. Conversations create residue. Skilled people are asked to turn that residue into systems by hand. AI is useful when it can perform that translation reliably, expose its work for review and return the professional to the part of the day that requires a person.
Abdul has moved from enterprise selling to meetings to a highly specific professional back office. Each move has narrowed the customer while widening the workflow. It is an unfashionably practical arc. No synthetic oracle, no robot on a stage - just the stubborn administrative afterlife of work, and a founder following it from tab to tab.