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Delve accused of misleading customers with ‘fake compliance’ | TechCrunch

Delve accused of misleading customers with ‘fake compliance’ | TechCrunch

An anonymous Substack post published this week accuses compliance startup Delve of “falsely” convincing “hundreds of customers they were compliant” with privacy and security regulations, potentially exposing those customers to “criminal liability under HIPAA and hefty fines under GDPR.”

Delve is a Y Combinator-backed startup that last year announced raising a $32 million Series A at a $300 million valuation. (The round was led by Insight Partners.) On Friday, the startup attempted to refute the accusations on its blog, calling the Substack post “misleading” and saying it “contains a number of inaccurate claims.”

The Substack post is credited to “DeepDelver,” who described themselves as working at a (now former) Delve client. 

DeepDelver recounted receiving an email in December claiming the startup had “leaked a spreadsheet with confidential client reports.” While Delve CEO Karun Kaushik apparently assured customers in a subsequent email that they were in compliance and that no external party gained access to sensitive data, DeepDelver said they and other customers had become suspicious.

“Having the shared experience of being underwhelmed with the Delve experience, and having the overall sense that something fishy was going on, we decided to pool resources and investigate together,” they wrote.

Their conclusion? That Delve “achieves its claim of being the fastest platform by producing fake evidence, generating auditor conclusions on behalf of certification mills that rubber stamp reports, and skipping major framework requirements while telling clients they have achieved 100% compliance.”

DeepDelver went into considerable detail about those claims, accusing the startup of providing customers with “fabricated evidence of board meetings, tests, and processes that never happened,” then forcing those customers to “choose between adopting fake evidence or performing mostly manual work with little real automation or AI.”

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DeepDelver also claimed that virtually all of Delve’s clients seem to have gone through two audit firms, Accorp and Gradient, which they described as “part of the same operation,” one that operates primarily in India, with only a nominal presence in the United States.

Those firms, they said, are just rubber-stamping reports that were generated by Delve. As a result, DeepDelver said the startup “inverts” the normal compliance structure: “By generating auditor conclusions, test procedures, and final reports before any independent review occurs, Delve places itself in the role of both implementer and examiner. This is not a technicality. It is a structural fraud that invalidates the entire attestation.”

In addition to accusing Delve of misleading its customers, DeepDelver said the startup is helping those customers “mislead the public by hosting trust pages that contain security measures that were never implemented.” 

DeepDelver said that while their company was discussing its issues with Delve, the startup “sent us multiple boxes of donuts already to keep us happy.” Nonetheless, DeepDelver’s employer supposedly unpublished its trust page and no longer relies on the startup for compliance.

Delve responded to the accusations by saying it does not issue compliance reports at all. Instead, it’s an “automation platform” that ingests information about compliance, then provides auditors with access to that information.

“Final reports and opinions are issued solely by independent, licensed auditors, not Delve,” the company said.

Delve also said that its customers “can opt to work with an auditor of their choosing or opt to work with one from Delve’s network of independent, accredited third-party audit firms.” Those auditors, the startup said, are “established firms used broadly across the industry, including by other compliance platforms.”

In response to the accusation that it’s providing customers with “fake evidence,” Delve countered that it’s simply offering “templates to help teams document their processes in accordance with compliance requirements, as do other compliance platforms.”

“Draft templates are not the same as ‘pre-filled evidence,” the company said.

Delve added that it is “actively investigating any leaks” and is “still reviewing the Substack.”

Following the initial Substack post, an X user named James Zhou said they were able to gain access to sensitive information from Delve such as employee background checks and equity vesting schedules. Dvuln founder Jamieson O’Reilly shared more details from what O’Reilly said was a conversation with Zhou about “several gaping security holes in Delve’s external attack surface.”

TechCrunch sent an email seeking additional comment to the media contact address listed on Delve’s website. The email bounced, but I subsequently received a calendar invite for a “Delve demo” later this week. TechCrunch has also reached out to DeepDelver for additional comment.

This post has been updated with additional information about purported security vulnerabilities provided by Jamieson O’Reilly, and additional details about Delve’s response to TechCrunch.

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#Delve #accused #misleading #customers #fake #compliance #TechCrunch

We’re retiring our oldest plans, some of which were built nearly 15 years ago – in the 3G and 4G eras, and well before our 5G network was fully deployed. Customers will transition to modern plans that provide access to America’s best wireless technology, enhanced features and a 5-year price guarantee for peace of mind. Some customers will see no change to their monthly bill, while some will see a modest adjustment. Every customer moved to a new plan will keep their current benefits while gaining improvements in network and service experiences.

#TMobile #booting #customers #oldest #plans5G,Mobile,Sprint,T-Mobile,Tech">T-Mobile is booting customers from its oldest plansWe’re retiring our oldest plans, some of which were built nearly 15 years ago – in the 3G and 4G eras, and well before our 5G network was fully deployed. Customers will transition to modern plans that provide access to America’s best wireless technology, enhanced features and a 5-year price guarantee for peace of mind. Some customers will see no change to their monthly bill, while some will see a modest adjustment. Every customer moved to a new plan will keep their current benefits while gaining improvements in network and service experiences.#TMobile #booting #customers #oldest #plans5G,Mobile,Sprint,T-Mobile,Tech
AI-related job loss fears grow each time another company announces a round of layoffs. Through May of 2026, companies announced that close to 90,000 job cuts were tied to AI, and, by some accounts, up to 15% of U.S. jobs are projected to be eliminated by AI over the next five years. Promises from the tech industry that AI will also create new jobs does little to ease fears, especially for the generation wondering if anyone will be hiring when they graduate. 

A recent report from Ramp and Revelio Labs, which track enterprise AI spend and workforce records from nearly 22,000 companies, respectively, complicates that gloomy narrative. 

The report found that companies spending heavily on AI are growing headcount faster, even in the entry-level roles that many fear are doomed. According to the report, “high-intensity adopters” — firms that spend on average $30 per employee per month on AI in the first three months — saw headcount increase 10.2%.

Headcount also rose across functions, including engineering, sales, administration, customer service, finance, marketing, and scientist roles. The strongest job growth among high-intensity adopters was in the information sector, which includes software, internet, media, and tech-adjacent firms. 

Despite these positive signals, the data isn’t as rosy as it seems. It skews heavily towards tech-forward, knowledge-work firms — ones that might have VC-backing and are growing fast anyway, making it difficult to say whether AI is contributing to the hiring or just showing up at companies that are expanding anyway.

“This paper does not show that AI universally creates jobs,” the paper’s authors admit, “but it does counter claims that AI will lead to broad job losses.”

It also counters claims that AI is killing all junior jobs. Recent research from Goldman Sachs found that AI has already erased about 16,000 net jobs per month over the past year, with Gen Z and entry level workers taking the brunt of the burden. But in tech-forward firms, the report finds that entry-level headcount actually rose by 12%.

So what can we take away from this? Perhaps that AI isn’t always a tool for labor substitution, but that it can be a tool for firm-expansion instead. 

“For software and technology firms, AI can make core output cheaper or faster to produce: writing code, debugging, building internal tools, producing technical documentation, and supporting product development,” the report reads. “Lower production costs in these workflows can raise the return to expanding the whole firm, not just the engineering team.”

But companies that buy subscriptions and run pilots, yet did not go on to make sustained investments, don’t tend to see any gains in headcount, per the report. 

That sets up the potential for a widening gap between firms that have the resources — like capital, technical staff, founder networks, and management bandwidth — to turn AI adoption into actual business gains and those that are stuck experimenting with subscriptions. In other words, this report suggests that firms that already have the resources are the ones who will see the largest gains. 

The paper’s authors speculate such a divide may continue to grow, saying: “Firms without those channels may fall behind.”

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#jobs #debate #messier #TechCrunchRamp,ai job loss,revelio labs">The AI jobs debate just got messier | TechCrunch
AI-related job loss fears grow each time another company announces a round of layoffs. Through May of 2026, companies announced that close to 90,000 job cuts were tied to AI, and, by some accounts, up to 15% of U.S. jobs are projected to be eliminated by AI over the next five years. Promises from the tech industry that AI will also create new jobs does little to ease fears, especially for the generation wondering if anyone will be hiring when they graduate. 

A recent report from Ramp and Revelio Labs, which track enterprise AI spend and workforce records from nearly 22,000 companies, respectively, complicates that gloomy narrative. 







The report found that companies spending heavily on AI are growing headcount faster, even in the entry-level roles that many fear are doomed. According to the report, “high-intensity adopters” — firms that spend on average  per employee per month on AI in the first three months — saw headcount increase 10.2%. 

Headcount also rose across functions, including engineering, sales, administration, customer service, finance, marketing, and scientist roles. The strongest job growth among high-intensity adopters was in the information sector, which includes software, internet, media, and tech-adjacent firms. 

Despite these positive signals, the data isn’t as rosy as it seems. It skews heavily towards tech-forward, knowledge-work firms — ones that might have VC-backing and are growing fast anyway, making it difficult to say whether AI is contributing to the hiring or just showing up at companies that are expanding anyway.

“This paper does not show that AI universally creates jobs,” the paper’s authors admit, “but it does counter claims that AI will lead to broad job losses.”

It also counters claims that AI is killing all junior jobs. Recent research from Goldman Sachs found that AI has already erased about 16,000 net jobs per month over the past year, with Gen Z and entry level workers taking the brunt of the burden. But in tech-forward firms, the report finds that entry-level headcount actually rose by 12%.


So what can we take away from this? Perhaps that AI isn’t always a tool for labor substitution, but that it can be a tool for firm-expansion instead. 

“For software and technology firms, AI can make core output cheaper or faster to produce: writing code, debugging, building internal tools, producing technical documentation, and supporting product development,” the report reads. “Lower production costs in these workflows can raise the return to expanding the whole firm, not just the engineering team.”

But companies that buy subscriptions and run pilots, yet did not go on to make sustained investments, don’t tend to see any gains in headcount, per the report. 







That sets up the potential for a widening gap between firms that have the resources — like capital, technical staff, founder networks, and management bandwidth — to turn AI adoption into actual business gains and those that are stuck experimenting with subscriptions. In other words, this report suggests that firms that already have the resources are the ones who will see the largest gains. 

The paper’s authors speculate such a divide may continue to grow, saying: “Firms without those channels may fall behind.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#jobs #debate #messier #TechCrunchRamp,ai job loss,revelio labs

announces a round of layoffs. Through May of 2026, companies announced that close to 90,000 job cuts were tied to AI, and, by some accounts, up to 15% of U.S. jobs are projected to be eliminated by AI over the next five years. Promises from the tech industry that AI will also create new jobs does little to ease fears, especially for the generation wondering if anyone will be hiring when they graduate. 

A recent report from Ramp and Revelio Labs, which track enterprise AI spend and workforce records from nearly 22,000 companies, respectively, complicates that gloomy narrative. 

The report found that companies spending heavily on AI are growing headcount faster, even in the entry-level roles that many fear are doomed. According to the report, “high-intensity adopters” — firms that spend on average $30 per employee per month on AI in the first three months — saw headcount increase 10.2%.

Headcount also rose across functions, including engineering, sales, administration, customer service, finance, marketing, and scientist roles. The strongest job growth among high-intensity adopters was in the information sector, which includes software, internet, media, and tech-adjacent firms. 

Despite these positive signals, the data isn’t as rosy as it seems. It skews heavily towards tech-forward, knowledge-work firms — ones that might have VC-backing and are growing fast anyway, making it difficult to say whether AI is contributing to the hiring or just showing up at companies that are expanding anyway.

“This paper does not show that AI universally creates jobs,” the paper’s authors admit, “but it does counter claims that AI will lead to broad job losses.”

It also counters claims that AI is killing all junior jobs. Recent research from Goldman Sachs found that AI has already erased about 16,000 net jobs per month over the past year, with Gen Z and entry level workers taking the brunt of the burden. But in tech-forward firms, the report finds that entry-level headcount actually rose by 12%.

So what can we take away from this? Perhaps that AI isn’t always a tool for labor substitution, but that it can be a tool for firm-expansion instead. 

“For software and technology firms, AI can make core output cheaper or faster to produce: writing code, debugging, building internal tools, producing technical documentation, and supporting product development,” the report reads. “Lower production costs in these workflows can raise the return to expanding the whole firm, not just the engineering team.”

But companies that buy subscriptions and run pilots, yet did not go on to make sustained investments, don’t tend to see any gains in headcount, per the report. 

That sets up the potential for a widening gap between firms that have the resources — like capital, technical staff, founder networks, and management bandwidth — to turn AI adoption into actual business gains and those that are stuck experimenting with subscriptions. In other words, this report suggests that firms that already have the resources are the ones who will see the largest gains. 

The paper’s authors speculate such a divide may continue to grow, saying: “Firms without those channels may fall behind.”

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#jobs #debate #messier #TechCrunchRamp,ai job loss,revelio labs">The AI jobs debate just got messier | TechCrunch

AI-related job loss fears grow each time another company announces a round of layoffs. Through May of 2026, companies announced that close to 90,000 job cuts were tied to AI, and, by some accounts, up to 15% of U.S. jobs are projected to be eliminated by AI over the next five years. Promises from the tech industry that AI will also create new jobs does little to ease fears, especially for the generation wondering if anyone will be hiring when they graduate. 

A recent report from Ramp and Revelio Labs, which track enterprise AI spend and workforce records from nearly 22,000 companies, respectively, complicates that gloomy narrative. 

The report found that companies spending heavily on AI are growing headcount faster, even in the entry-level roles that many fear are doomed. According to the report, “high-intensity adopters” — firms that spend on average $30 per employee per month on AI in the first three months — saw headcount increase 10.2%.

Headcount also rose across functions, including engineering, sales, administration, customer service, finance, marketing, and scientist roles. The strongest job growth among high-intensity adopters was in the information sector, which includes software, internet, media, and tech-adjacent firms. 

Despite these positive signals, the data isn’t as rosy as it seems. It skews heavily towards tech-forward, knowledge-work firms — ones that might have VC-backing and are growing fast anyway, making it difficult to say whether AI is contributing to the hiring or just showing up at companies that are expanding anyway.

“This paper does not show that AI universally creates jobs,” the paper’s authors admit, “but it does counter claims that AI will lead to broad job losses.”

It also counters claims that AI is killing all junior jobs. Recent research from Goldman Sachs found that AI has already erased about 16,000 net jobs per month over the past year, with Gen Z and entry level workers taking the brunt of the burden. But in tech-forward firms, the report finds that entry-level headcount actually rose by 12%.

So what can we take away from this? Perhaps that AI isn’t always a tool for labor substitution, but that it can be a tool for firm-expansion instead. 

“For software and technology firms, AI can make core output cheaper or faster to produce: writing code, debugging, building internal tools, producing technical documentation, and supporting product development,” the report reads. “Lower production costs in these workflows can raise the return to expanding the whole firm, not just the engineering team.”

But companies that buy subscriptions and run pilots, yet did not go on to make sustained investments, don’t tend to see any gains in headcount, per the report. 

That sets up the potential for a widening gap between firms that have the resources — like capital, technical staff, founder networks, and management bandwidth — to turn AI adoption into actual business gains and those that are stuck experimenting with subscriptions. In other words, this report suggests that firms that already have the resources are the ones who will see the largest gains. 

The paper’s authors speculate such a divide may continue to grow, saying: “Firms without those channels may fall behind.”

When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.

#jobs #debate #messier #TechCrunchRamp,ai job loss,revelio labs

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