Tech
The back office problem that explains why specialists never call you back
A lot of the conversation around AI in healthcare focuses on diagnostics and drug discovery or on doctor-patient visits. But a less visible part of the system affects whether patients actually get seen at all, and it has less to do with the number of doctors in the world (too few) and more with the administrative work (too much) that happens between a primary care doctor writing a referral and a specialist’s office getting a patient on the schedule. That gap, it turns out, is huge, stubbornly manual, and increasingly attracting serious interest from venture capitalists.
Kaled Alhanafi, CEO and co-founder of Basata, grew up in Jordan and came to the U.S. to study computer science. He spent five years at Lyft, eventually overseeing operations teams covering most of the country, then went to Cruise, the self-driving car company, where he served as general manager for the Phoenix market. One of his co-founders, Chetan Patel, has a PhD in biomedical engineering with a focus in neuroscience and spent a decade at Medtronic building implantable cardiac devices. The two met in college and reconnected when their careers converged on the same problem.
For Patel, the issue became personal when his wife fainted on a flight with their young children. Even with his deep knowledge of cardiology and the specific devices that could help her, he says navigating the administrative process to get her appropriate care took far longer than it should have. “We have the best doctors, we have some of the best medicines, but the care gap is just so wide,” he said.
Alhanafi describes a parallel experience with his own father, who was referred to three cardiology groups after a serious carotid artery diagnosis. According to Alhanafi, only one called back within a couple of weeks. Another responded after the surgery was already done. The third still hasn’t called.
These aren’t unusual outcomes, as nearly anyone who has tried to see a specialist in recent years can attest. Specialty practices that receive referrals are frequently processing hundreds or thousands of documents — most arriving by fax — with small administrative teams. Practices lose patients not because they don’t want to see them, the company argues, but because they can’t get through the intake backlog.
Basata, founded two years ago in Phoenix, is trying to fix this. When a referral comes in — still typically by fax — Basata’s system reads and processes the document, extracts the relevant clinical information, and then an AI voice agent calls the patient directly to schedule the appointment.
Patients can also call the practice at any hour and reach an AI agent that can answer questions or handle common administrative needs like prescription renewals. Alhanafi says the company has recordings of patients audibly surprised by how quickly they’re contacted after a referral is sent. The goal, he says, is for a patient to have a scheduled appointment by the time they reach their car in the parking lot after seeing their primary care doctor.
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The company integrates with the electronic medical record systems that specific specialties actually use, which is why it says it has moved carefully — cardiology first, then urology — rather than trying to serve every corner of the market at once. The founders say they recently turned down a large deal in a specialty they haven’t yet mapped thoroughly enough to feel confident doing well.
The revenue model is usage-based: practices pay per document processed and per call handled, rather than per seat. The company says it has processed referrals for roughly 500,000 patients to date, with about 100,000 of those coming in the last month alone.
Basata says it has raised $24.5 million in total, including a new $21 million Series A round led by Lan Xuezhao of Basis Set Ventures, who began her career modeling the human brain as a PhD researcher before moving into corporate strategy at McKinsey and Dropbox and ultimately into investing. Cowboy Ventures, founded by Aileen Lee, also participated, as has Victoria Treyger, a former general partner at Felicis Ventures who more recently stood up her own venture firm, Sofeon (this is its first investment).
The space is getting crowded. Tennr, a New York-based startup founded in 2021, has raised over $160 million to date — including from Andreessen Horowitz, IVP, Lightspeed, and Google Ventures — and is now valued at $605 million. Tennr focuses heavily on document intelligence and has says it has built proprietary language models trained on tens of millions of medical documents. Assort Health, backed by Lightspeed, focuses on automating patient phone communication for specialty practices and last year raised at a $750 million valuation.
Lee said the founders’ years of experience are an asset in a space filling up with well-funded competitors. “There are a lot of [VCs] chasing around high school drop-outs and college dropouts, but when you’re selling to medical practices, trust is a really big deal,” she said. “These doctors want to look you in the eye and know that they can count on you.”
Basata’s founders meanwhile argue that their differentiation lies in combining both capabilities into a single end-to-end workflow tailored to specific specialties instead of building a tool that handles just one part of the process. That may be harder to sustain as better-funded competitors expand, but there’s clearly a market signal here.
Of course, like many AI companies automating work that humans currently do, Basata will eventually face a harder question about where the line is between augmenting workers and displacing them. For now, the founders say the administrative staff they work with aren’t worried about that; they’re more worried about drowning. Indeed, Alhanafi notes that the administrative staff at specialty practices have often been in their roles for decades and know the work intimately; they’re also buried in volume that no reasonable number of hires could fully absorb.
Whether AI merely expands what these workers can do or gradually makes many of their functions unnecessary is a question that applies well beyond healthcare. For now, Basata’s pitch is the former: that freeing administrators from the most repetitive parts of the job makes them better at the rest of it. Judging by one stat shared by Alhanafi — that 70% of the company’s new deals now come through word of mouth — it seems the people closest to the problem find that argument convincing.
Pictured above, left to right: Chetan Patel, who is co-founder and president of Basata; Kaled Alhanafi, the company’s CEO; and Vivin Paliath, the company’s third co-founder and CTO.
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Tech
Meta Wants to Run Your Business With AI — Microsoft and Salesforce Have a New Rival
Meta launches Enterprise Platform, bringing Muse, Business Agent and AI tools to companies as it takes on Microsoft and Salesforce.
The post Meta Wants to Run Your Business With AI — Microsoft and Salesforce Have a New Rival appeared first on TechRepublic.
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Tech
OpenAI gives Codex reusable cloud environments that work across devices
OpenAI introduced new capabilities for its software engineering agent Codex, making it more useful beyond a developer’s laptop with reusable cloud development environments that can be accessed from any device.
The update, announced at OpenAI’s Dev Day on Tuesday, is one of several for Codex. OpenAI also announced a refreshed Codex CLI, a new code review experience, tools to harden infrastructure, and other API enhancements.
While Codex could already spin up cloud tasks to do work remotely, today’s announcement shows that OpenAI is making those cloud environments more persistent and configurable, rather than treating each cloud task as an isolated remote sandbox.
As the company explains, developers will now be able to run Codex wherever they need it, whether that’s on a computer, remotely from a phone, or in the cloud. The reusable development environments are designed to help tasks start more quickly and give teams a shared workspace with approved settings and permissions, OpenAI said.

Meanwhile, the Codex CLI is getting an update that allows developers to start and direct tasks using their voice.
A new /agents view is meant to make it easier to delegate work and track multiple tasks at the same time. Other changes include improvements to everyday tasks such as editing prompts, resuming sessions, and using worktrees. OpenAI is also rolling out a “cleaner” terminal user interface designed to make longer sessions easier to read.

Codex can also be pulled into a new code review experience within the ChatGPT desktop app, where users can read summaries, explore code changes, or ask Codex about potential issues before sharing feedback on GitHub pull requests or GitLab merge requests.
Automatic code reviews also let Codex perform an initial review while users step away from their computers.

On the security side, OpenAI is rolling out a new set of tools called Codex Security Cloud, designed to help developers secure their infrastructure. Developers can use the tools to scan entire GitHub repositories on demand or on a regular schedule, as well as whenever new commits arrive. Codex will then investigate findings, remove duplicates, and prepare fixes in the cloud — even when the user isn’t active and their laptop is closed.
Notably, the toolset includes access to the models offered through OpenAI’s cybersecurity initiative Daybreak Blue, without requiring developers to submit a separate application.

OpenAI also announced several API updates, including a new Decisions API for real-time decision-making. The API uses Luna to answer a set of user-defined questions with predefined answers. The company also introduced an updated a version of the Agents API that now supports computer use and the ability to use Amazon’s Bedrock Managed Agents to build OpenAI agents that run entirely on AWS.
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Tech
OpenAI takes on Microsoft with the launch of what feels a whole lot like ChatGPT’s own office suite
OpenAI has been a close partner of Microsoft from the jump, but the AI lab is increasingly going after the company’s bread and butter, workplace software, with new features that closely resemble an office software suite like Microsoft’s.
At its Dev Day developer conference in San Francisco on Tuesday, OpenAI announced several new ChatGPT features designed for office workers.
Most notably, OpenAI launched a feature called Space, a shared workspace inside ChatGPT where coworkers can collaborate with the chatbot and with their own Dots, OpenAI’s newly launched AI agent personas (that can carry out tasks on a user’s behalf), on a range of work tasks.
“Your pages and files all live together in Space, like they would in a drive,” said CEO Sam Altman during Tuesday’s presentation. “But spaces feel alive.” Altman said users can give a page specific instructions, such as checking a team channel and updating the page with what it finds.
OpenAI also announced Pages, a companion word processor that the company describes as “a new type of document, built for human and agent collaboration.” It appears to be OpenAI’s answer to Google Docs and Microsoft Word. Users can “write, research, generate charts, create images, or visualize information” in it, OpenAI says.
OpenAI has also launched its answer to PowerPoint with what it calls collaborative slides. These slides can be created by merely talking about them within ChatGPT. Once generated, multiple workers and agents can work together within them and will have the ability to leave comments and edit them.
As OpenAI edges into the territory of Microsoft, Microsoft and other software companies like Salesforce are busy trying to become more like OpenAI. Over the past year, both companies have released a slew of AI products as the software industry attempts to keep up with the shifting landscape.
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