Tech
These two founders left Goldman and Meta to build voice AI for markets everyone else overlooked
Customer support and service are among the hottest sectors in voice AI right now. But building a product that sounds human and responds without noticeable delay turns out to be much harder in some markets than others — and most of the major players weren’t built with Africa and the Middle East in mind.
AethexAI, a startup founded last year to close that gap, has raised $3 million in pre-seed funding led by 4DX Ventures, with participation from Enza Capital, Dorm Room Fund, Mojo Ventures, and Stanford GSB 26 Fund. Individual investors include Stanford faculty, telecom executives, and AI researchers from Anthropic.
Rather than using existing orchestration tools like Vapi and LiveKit, the company built its own small model and orchestration layer from scratch to handle the localized dialects of English, French, and Arabic spoken across its target markets — a decision driven, as we’ll get to, by the particular demands of operating in the region.
The company is also launching its platform for enterprises to try out its tech and sign up for its services, along with APIs and SDKs for developers to experiment with its models.
The startup was founded by Mariama Diallo and Ayooluwa Odemuyiwa. CEO Diallo worked at Goldman Sachs and later joined YC-backed ModelML as a product and growth hire. CTO Odemuyiwa graduated from Caltech, worked at Meta, and enrolled at Stanford Business School before co-founding the company. The pair wanted to build something for emerging markets and started looking for opportunities.
Businesses around the world are racing to adopt AI tools to automate parts of their operations. But that doesn’t always work out. In Egypt, a call center automated a significant share of its calls, but rolled the system back because of poor results, the founders found. Several support centers in Africa told them that finding and hiring engineers to automate calls at the right cost was a persistent headache.
“The latency and jitter that we saw on automated calls in this region were outrageous. If we had become orchestrators, we might have had to use large models that were hosted outside the region, resulting in higher latency. We realized that in order for this to work, we have to use very small models and cut latency at every step,” Odemuyiwa told TechCrunch about the decision to build the company’s own models and orchestration layer.
AI labs that deploy their latest models usually spend millions training them and acquiring data. AethexAI found a solution for both. Rather than chasing the largest possible models, it decided that small models are enough to tackle the latency problem while maintaining accuracy and developed its own Kora series, with parameters ranging from 300 million to 1.7 billion. That’s a fraction of the size of the LLMs, which is precisely the point.
To train these models, the startup used anonymized recordings from a call center partner. It also shipped hard drives to radio stations across Africa to collect more audio data. To keep costs down, it built a contributor network of university students to annotate data and pronounce local names. As a result, the startup says, it’s now handling more than 17,000 calls per day.
On the business side, the company is taking care to walk clients who are new to voice AI through the process, offering onsite demos and workshops to help them identify the best use cases for automation.
“We always tell customers that we cannot be everything for everybody right now. We’re small. When we start talking to a company, we ask them to pick one use case that is the most important to them to start [with],” Diallo said.
The startup is open to working across all industries, but at the moment, a big part of its use cases involves calls for debt collection, customer activation, or KYC — Know Your Customer verification, the standard identity-checking process used by banks and telecoms. The company is hiring forward-deployed engineers on a contract basis to serve local markets and building channel partnerships with telecoms providers to handle telephony for voice AI calls. Plug-and-play solutions, it says, simply won’t work here.
Walter Badoo, co-founder and managing partner of 4DX Ventures, argues that the Africa and Middle East market is fundamentally different from the markets most voice AI companies were built to serve.
“Enterprises in Africa and the Middle East process roughly three times the call volume of their Western counterparts, as voice is still the dominant channel for customer interaction,” he said. “Incumbent systems were built for Western markets characterized by high-end GPU infrastructure, standard English and European speech environments, and enterprise workflows common in the US and Europe. That creates real gaps when enterprises need systems that handle dialects, code-switching, and informal speech patterns, and that work within their existing telephony infrastructure and their actual price points.”
Put another way, while companies like ElevenLabs, Deepgram, Sierra, and Cognigy are expanding globally at a fast pace, the markets they were built for and the markets they are entering aren’t always the same thing. Startups like AethexAI are betting that the gaps — models specialized in local dialects, on-the-ground partnerships, infrastructure built for the region — represent a market opening that the giants have neither the incentive nor the architecture to close.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
Tech
Passionfroot raises $15M to expand its B2B creator marketplace to the US
Passionfroot, a German startup building a marketplace connecting B2B creators with brands, said on Wednesday it has raised $15 million in a Series A funding round led by Insight Partners.
Rebecca Liu-Doyle, managing director at Insight Partners, said Passionfroot is placed well at a time when creators are specializing as AI companies look for more visibility.
“Passionfroot has the perfect dynamics on both sides to warrant a true marketplace for B2B creators. On the demand side, there is increasing consumerization of the way B2B brands go to market. That’s a product of, in part, AI technology requiring evangelism, narrative building, and education. On the supply side, there are people who have real expertise, understand a market deeply, and want to create quality content,” she told TechCrunch over a call.
With the funding, the Berlin-based startup’s co-founder and CEO, Jen Phan, is moving to New York, where Passionfroot is opening an office to expand its U.S. operations. The company is also opening an office in São Paulo, and expanding its current headcount of 15 employees.
As AI makes it easier to build products, companies are focusing on using creators to improve brand recall and recognition, Phan said.
“Every head of marketing or growth leader I’m talking to is saying really the same thing: AI is commoditizing software and flooding every category with new products, features, and launches. It’s incredibly crowded and noisy. That is why B2B buyers are going to channels like LinkedIn, a creator’s Substack, or a podcast on YouTube to discover new products and tools,” she said.
Phan said over the last year, the company increased its revenue by 13 times, and onboarded clients such as ElevenLabs, Figma, Replit, Framer, and Gamma.
Since its last fundraise in 2024, the company has released an AI agent called Zest, which helps brands create, execute and monitor the performance of campaigns. Passionfruit claims Zest can also help companies find suitable creators both inside and outside the platform that are suited to its marketing strategy.
The startup says it uses a proprietary creator graph based on data about reach and performance from thousands of campaigns. There’s also a wallet that companies can use to pay creators across the globe, and measure their expenditure.
Passionfroot claims it has paid at least $10 million to creators on its platform in the last 18 months.
The company says it is working on helping its clients measure how a campaign is impacting AI citations, and how their brand appears in AI-powered answers. The startup is also planning to build AI features for creators, such as helping them with monetization tips and content ideas.
The funding comes as creator platforms like Substack and Beehiiv move to help creators find better monetization opportunities. Beehiiv launched a new community and ad marketplace last week, and Substack has introduced subscriber-only perks within newsletters.
Passionfroot’s Series A also saw participation from existing investors Creandum, Supernode Global, and s16vc. The company has raised more than $21 million so far.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
Tech
Cascade raises $3.5M to help construction firms find and win projects
Cascade, a startup building a platform to help architecture, engineering, and construction firms find and win projects, has raised a $3.5 million seed round from Andreessen Horowitz Speedrun, Ada Ventures, and Snowball VC.
Launched in 2025, Cascade is a result of its founders, Hannia Zia and Joana Ferreira, witnessing firsthand the difficulty construction businesses face with predictably securing work.
“My mother worked in a company that sold materials to construction companies, and my uncle built mansions in the Middle East. They’re incredible at their craft but just don’t have access to the right tools to get more work,” Ferreira told TechCrunch. And Zia recalled the time her father tried starting a construction business back in her native Pakistan: “He just couldn’t get enough projects to sustain himself.”
Zia describes the current process of finding construction projects as a “constant treasure hunt,” with firms having to log into each U.S. state, city, district, county, and federal agency’s portals. “So if you’re really good at building suspension bridges, you have to find all of those opportunities across these disparate portals.”
Cascade aims to help architecture, construction, and engineering firms on this front by tracking ongoing and upcoming projects, and then using prior tender data to predict which developers are likely to win the deals.
Here’s how the platform works: A company signs up to the platform, and then Cascade uses AI tools to determine which projects they have the best chance of winning. It also predicts what projects are coming up, using different signals and data points across U.S. states, local districts, private contracts, and federal agencies. For example, if a state announces a $100 million affordable housing grant, Cascade will monitor which developers won the grant the last time it was announced.
“We connect that data, and we tell our customers: ‘Most likely one of these five developers will win this newly announced grant, so go start talking to them to win projects,’” Ferreira explained.
The duo applied to a16z’s Speedrun last September. They said the pressure to do well on demo day and being around the “brilliance” of other founders helped the company sign contracts with firms that have built the JFK and La Guardia airports, Four Seasons hotels, and some data centers. “Speedrun gave us visibility and a stamp of approval to close big deals,” Zia said.
The startup will use the fresh cash to go to market, host industry events, and hire more engineers.
Other startups in this area include GovWin IQ and ConstructConnect, but Ferreira argues Cascade is a bit more AI-native than these platforms.
“Every time a customer wins a bid, they give feedback, so the system keeps getting smarter. Over time, we’ll have a complete map of the industry that our AI can traverse to predict the best projects and leads for each customer,” she said.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
Tech
If you pay a hacker’s ransom, chances are that they’ll come back for more
Governments have long warned not to pay a hacker’s ransom demands, arguing that doing so only lets criminals profit from their cyberattacks and funds the next one. There’s also another reason: The hackers are unlikely to leave you alone if you pay up once, and many will come back demanding more.
In a report published Wednesday, cybersecurity giant Proofpoint said it surveyed 953 companies and found that over one-third of companies that paid a hacker’s ransom were hit with a second extortion demand. The findings underscore the long-held understanding among security researchers and network defenders that it’s impossible to negotiate in good faith with an extortion racket because there’s no incentive for the other side to actually walk away.
Proofpoint’s data shows that ransomware attacks and extortion attacks have evolved from a single transaction where hackers would get paid once and move on, into an effort using multiple forms of leverage, such as retaining stolen data under the threat of publicly releasing it.
While hackers have claimed in the past that they will delete or destroy the victim’s stolen data, past incidents have shown that not to be the case.
Last month, a hack at market research firm Klue exposed data belonging to its customers, including several cybersecurity firms. The company said it struck a deal with the hackers, who claimed to have deleted the data, but the company later conceded that a separate hacking group swiped a sample of the company’s stolen data, leaving its customers exposed to potential future extortion demands.
A similar situation befell Change Healthcare in 2024, after a Russian-speaking ransomware gang stole the health and medical data of the majority of people in America, some 192 million people. Amid a dispute between the hackers and their affiliates (criminal groups often subcontract out attacks), Change Healthcare paid separate ransoms to both groups of criminals to keep the sensitive medical data off of the internet.
Security researchers have long suspected that ransomware gangs and extortion rackets will keep hold of the victim’s stolen data, even after a payment is made. U.K. law enforcement confirmed this during their takedown efforts targeting the prolific LockBit ransomware gang in 2024. Police said that they found victims’ stolen data stored on LockBit’s servers long after they had paid the ransom.
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.
Martin Perez returns for Braves, to pitch against Padres
The smartest language lessons still start with human experts
