Tech
Gushwork bets on AI search for customer leads — and early results are emerging
As AI-powered search tools reshape how businesses are discovered online, India-founded startup Gushwork is helping companies capture customers from platforms such as ChatGPT, Gemini, and Perplexity — with early traction that is beginning to draw investor support.
The two-year-old startup said Thursday it had raised $9 million in a seed round led by Susquehanna International Group (SIG) and Lightspeed, with participation from B Capital, Seaborne Capital, Beenext, Sparrow Capital, and 2.2 Capital. The round values Gushwork at $33 million post-money, up from about $7.5 million following its Lightspeed-led $2.1 million pre-seed in July 2023, a person familiar with the matter told TechCrunch. The latest financing brings Gushwork’s total funding to $11 million, the startup said.
The funding comes as AI companies, including OpenAI and Perplexity, begin to chip away at traditional web search, prompting incumbents like Google to roll out AI-generated overviews and other conversational features across their search products. Gushwork is betting this shift will create a new opportunity to help businesses surface in AI-driven discovery channels using its automated marketing agents.
Founded in 2023 by Nayrhit Bhattacharya (pictured above, right) and Adithya Venkatesh (pictured above, left), Gushwork initially focused on helping small and medium businesses outsource workflows using a mix of AI and human expertise. The startup began narrowing its focus toward search-led marketing after seeing strong customer demand for help with improving online visibility.
“When we started, we were focused on helping businesses outsource faster and outsource better,” Bhattacharya told TechCrunch in an interview, adding that the pull around search from customers became increasingly hard to ignore.
Gushwork’s platform uses a network of AI agents to automatically generate and update search-optimized content; build backlinks — typically 10 to 20 per customer — through a network of roughly 200 to 300 partner websites; and track inbound leads through an integrated content management system. The goal, Bhattacharya said, is to help businesses surface in both traditional search results and AI-generated answers without relying on large in-house marketing teams.
The startup says it has signed up more than 300 paying customers — roughly 95% of them in the U.S. — with subscriptions starting at $800 per month. Gushwork is currently running at about $1.5 million in annualized recurring revenue after rolling out its AI search-focused product around three months ago and is targeting $3 million to $3.5 million ARR in the next three months, Bhattacharya said, adding that the startup is growing about 50% to 80% month over month.
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Across Gushwork’s customer base, about 20% of website traffic now comes from AI-driven search and chat platforms, but those sources account for around 40% of inbound leads, Bhattacharya said, citing the startup’s internal data.
The higher-intent leads, Bhattacharya said, are already translating into business outcomes for some customers. In one case, a professional services client has closed between $200,000 and $350,000 worth of contracts after adopting the platform, he said, declining to disclose the customer’s name. He added that many users are seeing meaningful pipeline growth as AI-driven discovery gains traction.
Gushwork’s customer base today is concentrated among high-ticket B2B service providers, industrial distributors, and contract manufacturers, primarily in the U.S., Bhattacharya said. The startup’s average subscription runs about $800 to $900 per month, or roughly $9,000 to $10,000 in annual contract value, he added.
The shift toward AI-driven discovery is still in its early stages but is gaining momentum. Tools such as generative AI chatbots and AI web browsers are increasingly being used by buyers to research vendors and products. OpenAI said in July 2025 that ChatGPT received about 2.5 billion prompts a day globally, including roughly 330 million from U.S. users. Bhattacharya said the trend is beginning to reshape how some businesses approach online visibility.
Gushwork plans to use the new funding to expand its engineering team, improve model accuracy, and scale its go-to-market efforts, Bhattacharya said. He added that the startup has more than 800 businesses on its waitlist that it plans to begin onboarding.
The startup, headquartered in Delaware with an office in Bengaluru, has about 70 employees in India, along with several contractors.
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.
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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.
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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.
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