8090 Solutions Lands $135M Led by Salesforce to Build Enterprise Software With AI Agent Swarms

# 8090 Solutions Lands $135M Led by Salesforce to Build Enterprise Software With AI Agent Swarms

The company Salesforce just backed with $135 million wants to make packaged software optional. That is the striking subtext of 8090's Series A, announced June 26, in which the enterprise-software giant led a round for a startup whose entire premise is that companies should stop buying off-the-shelf tools and start generating custom systems on demand with coordinated swarms of AI agents.

8090 -- legally 8090 Solutions Inc., often styled 8090 Labs -- is the AI-native "software factory" founded in early 2024 by Chamath Palihapitiya, the former Facebook executive, SPAC impresario and "All-In" podcast host. With the raise, Palihapitiya is doing something he has not done since his Facebook days: taking a full-time operating role, stepping in as cofounder and CEO alongside cofounder and CTO Sina Sojoodi.

What 8090 actually builds

The company's product is the 8090 Software Factory, described as a "governed multiplayer platform" where human engineers and fleets of AI agents build and change enterprise software inside a single environment. Rather than shipping a shrink-wrapped app, the factory connects business intent, requirements, architecture, work orders, code, testing and production maintenance -- with the audit trails and human oversight that regulated industries demand.

The same platform powers 8090's own delivery business, which designs, builds, hosts and operates custom systems for large companies in healthcare, insurance, life sciences, manufacturing, government and financial services. That services arm is not incidental; it is how 8090 hardens the platform against gnarly legacy code.

The reference numbers 8090 cites are eye-catching. The company says it reverse-engineered more than 18 million lines of COBOL and Assembly behind a healthcare billing engine into more than 300,000 plain-English rules in 40 days. A publicly traded health insurer, it says, turned its payable-claims rules into a deterministic pre-filter, routing more than 80% fewer claims to a pay-per-catch vendor and avoiding more than $20 million over four years. A life sciences customer cut time-to-market for a new diagnostic from five years to four; a manufacturer brought more than 10,000 parts under real-time validation for over 1,000 users.

The round and the backers

The $135 million Series A was led by Salesforce, with participation from WNDR, Craft Ventures, TPB and LAUNCH, plus a roster of high-profile angels including Palo Alto Networks CEO Nikesh Arora, investor Cliff Robbins, Quora and Poe founder Adam D'Angelo, Shyam Ravindran, Coatue's Thomas Laffont and Abhi Arun. Wachtell, Lipton, Rosen & Katz advised on the deal. 8090 has not disclosed a valuation for the round or a timeline for its next raise.

Palihapitiya framed the pitch around the messiness of enterprise engineering rather than the novelty of code generation. "AI can write code. The hard part of enterprise software is keeping fifty agents and a hundred engineers changing the same complex system every week without it pulling apart," he said. "The best companies in the world build custom software that captures what makes them unique. We built Software Factory on the belief that every organization should be able to do the same thing."

The capital, the company says, will go toward expanding its commercial footprint, scaling the Software Factory globally, and investing in the infrastructure needed to support enterprise adoption.

Build vs. buy, reopened

For two decades the enterprise-software debate was effectively settled: buy. Building and maintaining bespoke systems was slower, riskier and more expensive than licensing a SaaS product, which is precisely the logic that turned Salesforce into a nearly quarter-trillion-dollar company. 8090's bet is that agentic code generation collapses the cost of building, tilting the calculus back toward custom software that fits a company "exactly" -- and that captures the workflows a competitor's off-the-shelf tool never will.

That is what makes Salesforce's leadership of the round so interesting. A platform that lets enterprises spin up bespoke, audited software on demand is, taken to its logical end, a threat to the packaged-software model Salesforce embodies. The generous read is that Salesforce sees 8090 as complementary -- agents that build on and around its platform rather than replace it. The sharper read is that Salesforce is buying optionality on the "software gets built, not bought" thesis before that thesis comes for its core business. Either way, the incumbent is now financially exposed to the disruption.

The stakes for the broader SaaS market are not theoretical. As AI-generated software matures, buyers are already pausing: recent industry surveys suggest a meaningful share of strategic acquirers have walked away from deals over AI-disruption concerns, and public SaaS multiples have compressed as investors reprice the durability of subscription moats. If a mid-market company can commission an auditable, purpose-built claims system in weeks rather than licensing a generic one for years, the recurring-revenue logic that underpins SaaS valuations starts to wobble.

There are reasons for skepticism. Critics note that 8090's revenue today leans heavily on high-touch services -- effectively a very well-funded, AI-accelerated dev shop -- rather than pure software margins, and that reverse-engineering demos are not the same as durable, self-serve product-market fit. Governance, security and the sheer difficulty of keeping "fifty agents" coherent in mission-critical systems remain unsolved at scale.

What to watch next

Three things will tell us whether 8090 is a genuine SaaS disruptor or a premium consulting business with a compelling story. First, the services-to-platform mix: watch whether the Software Factory becomes something customers operate themselves versus something 8090 runs for them. Second, the Salesforce relationship: any move toward deeper integration -- or, tellingly, an acquisition -- would signal how the incumbent reads the threat. Third, named enterprise logos and retention; the case studies are anonymized today, and durable, referenceable customers in regulated verticals are the real proof point. With Palihapitiya now in the operator's chair full-time, expect the noise -- and the scrutiny -- to be considerable.