❯ Temporal Raises $550M Series E, Lifting Its Valuation to $12.55B in Seven Months
[Back again] Temporal raised a $550 million Series E at a $12.55 billion valuation, led by Lightspeed and co-led by Wellington Management, Goldman Sachs Alternatives’ Growth Equity team and Tiger Global. Developers use its platform to orchestrate long-running work across systems in ordinary code, with state preserved and jobs recovering automatically after failures. The company said the money will fund global expansion, core primitives, reliability and security.
[Valuation jump] The round comes roughly seven months after a $300 million Series D in February 2026 at a $5 billion valuation, taking the price to 2.51 times the prior level. Temporal did not discover this problem after the generative-AI boom: its founders built distributed workflow systems at Amazon, Microsoft and Uber before starting the company in 2019. What changed is the workload. Customers once used it mainly for payments, onboarding and fulfillment; now they want agents to run for days, weeks or months.
[Production proof] Annualized revenue run rate rose more than 200% year over year, while net dollar retention has stayed above 200% since February. The platform processed 1.9 trillion billable actions in August, up more than 350%, and now serves more than 4,300 paying customers, including OpenAI, Snap and Nvidia. Open-source installs passed 43 million; Snap moves 414 million Stories a day on Temporal, and OpenAI’s usage grew 60-fold in less than a year.
[Reliability premium] Models are increasingly easy to buy; failure recovery, permissions and durable state are not. Capital has put an infrastructure price on agents that do not lose their place. The valuation increase is backed by paying customers, retention and usage rising together. For newer orchestration vendors, the bar is shifting from producing a demo to resuming correctly after something breaks.
▪ SIGNALOnce agents touch payments, approvals and fulfillment, durable execution moves from a developer-tool budget into enterprise infrastructure.
❯ Impulse Space Adds $308M to Series D, Bringing the Round to $808M
[More capital] Impulse Space said it secured a $308 million Series D extension, bringing the round to $808 million. Existing investors including 137 Ventures, BANNER VC, DFJ Growth, Linse Capital, Lux Capital and Valor Equity Partners participated. The company builds vehicles that move satellites after launch, carrying payloads between orbits and performing deployment, rendezvous and proximity operations. The money will support products, hiring and facilities.
[Contracts first] The extension came about three months after the initial Series D and followed a string of government awards. Headcount doubled over the past year as the company expanded its U.S. footprint. Helios won a place in the U.S. Space Force’s National Security Space Launch Phase 3 Lane 1 program, while Mira-related VICTUS SALO missions received a $28 million contract extension.
[A vehicle suite] Flight-proven Mira handles precision maneuvering and rendezvous; Helios uses the Deneb engine to move payloads from low Earth orbit toward MEO, GEO, lunar and other destinations; Caravan provides rideshare missions. The newly unveiled Electra electric-propulsion system adds efficient long-duration transport. Founder Tom Mueller previously led propulsion work at SpaceX, and the company now sells to commercial, civil and government customers.
[Hardware patience] The round buys the orbital logistics layer after launch. As launch costs fall, payloads still need to change orbit, wait for mission windows and respond quickly. That requires propulsion and flight-control expertise as well as government qualification. An $808 million round pre-funds a long manufacturing ramp, but returns will be governed by contract conversion, flight cadence and production output rather than software-style metrics.
▪ SIGNALSpace investment is moving beyond getting to orbit toward moving quickly and responsively once there.
❯ Ridgeline Raises $250M Series E at $1.425B Valuation With Customers Investing
[Customers invest] Ridgeline raised a $250 million Series E led by founder and chairman Dave Duffield at a company-confirmed $1.425 billion valuation. Motley Fool Ventures, affiliates of Smead Capital Management and Patrick O’Shaughnessy were among the customers and industry participants. Ridgeline unifies trading, portfolio accounting, compliance, reconciliation, reporting and client servicing on one cloud platform, then runs auditable AI agents on that shared data model.
[Replacing the stack] After building PeopleSoft and Workday, Duffield started Ridgeline from scratch in 2017 to replace investment managers’ patchwork of on-premise systems. The round was invitation-only, and users of the product invested alongside its founder. Ridgeline says customers can consolidate an average of six to nine legacy systems, a sharper proposition as fee pressure makes it harder for headcount and operating cost to grow with assets.
[Assets committed] More than $750 billion of AUM and AUA has been committed to the platform. The shared data model lets agents prepare client meetings, reconcile accounts and perform pre- and post-trade compliance checks with permissions, audit trails and human oversight. Funding will extend AI and managed services, establish a customer base in Canada and Europe, and support further product development.
[Budget capture] Investors are backing the replacement of an investment manager’s core system, not an added chatbot. When AI takes action, data permissions, accurate books and auditability matter more than fluent answers. Ridgeline can consolidate spend now split among vendors, but core migrations are slow. The next test is whether committed assets go live and convert into recurring revenue.
▪ SIGNALCustomer participation turns product satisfaction into a financing signal while putting implementation and renewals squarely on the valuation scorecard.
❯ Cornelis Raises $205M to Challenge Closed AI Cluster Networks With an Open Fabric
[Funding plus product] Cornelis Networks said it raised $205 million with backing from IAG Capital Partners while unveiling Active Compute Fabric. The company sells network adapters, switches, cables and software for AI and high-performance computing clusters. Its new architecture adds programmable compute inside the network so collective operations can be processed as data moves. Funding will support production, deployments and next-generation scale-up and scale-out products.
[Intel roots] Cornelis emerged from an Intel-related business in 2020 and announced a $29 million Series B in 2022, also backed by IAG. It is now moving from scale-out data-center networks into scale-up links within a rack, as the constraint shifts from individual chip speed to synchronized work across tens of thousands of accelerators. The company is financing CN5000 shipments, CN6000 production and its next open architecture.
[Open network] Active Compute Fabric combines lossless transport, in-fabric acceleration and programmable compute using open standards including UALink, ESUN and Ultra Ethernet. Existing technology runs in hundreds of data centers. CN5000 is shipping, while the multi-protocol 800G CN6000 is sampling with customers ahead of broader availability expected in the fourth quarter. Cornelis’ claim that a 100,000-GPU cluster wastes $1.68 billion of compute is a model based on public data, not observed customer savings.
[The bottleneck spreads] The more expensive GPUs become, the less tolerable network waiting time is. Cornelis is targeting the economic value of idle accelerators, giving customers a second source and non-Nvidia chip vendors an open networking route. Its ecosystem, software and delivery scale still trail entrenched solutions. The $205 million supplies the capital to move from samples to production; actual deployments, not simulated savings, will set the next price.
▪ SIGNALAI infrastructure competition is expanding from who owns GPUs to who keeps costly GPUs from waiting for data.
❯ Factory Raises $200M, Lifting Its Valuation From $1.5B to $5B in Five Months
[Valuation triples] Enterprise software-agent company Factory raised $200 million at a $5 billion valuation from Blackstone, Khosla Ventures, Sequoia Capital, Insight Partners, Evantic Capital, Sound Ventures, NEA, Mantis VC and Clearlake. Total funding now exceeds $400 million. Its Droid agents plan, build, review, test and ship software inside a company’s codebase and tools, with customers controlling model choice and cloud, on-premise or air-gapped deployment.
[Five-month leap] The round comes about five months after an April 2026 financing that valued Factory at roughly $1.5 billion, implying a 3.3-fold increase. Founded in 2023, the company upgraded from individual coding agents to a system spanning the software lifecycle. Factory says its task-level Router cuts token spending by more than 60% while maintaining frontier performance, and it has added air-gapped deployment for regulated and public-sector buyers.
[Enterprise control] Factory says hundreds of thousands of developers use the product. Customers include Nvidia, Blackstone, Royal Bank of Canada, Palo Alto Networks, Adobe and T-Mobile. Rather than stop at code completion, its system governs learning, model selection, deployment and measurement, while Agent Effectiveness links AI spending to engineering output. The capital will fund research, product and global go-to-market expansion.
[Execution burden] Capital is paying for a controllable enterprise software-production system. The threefold valuation jump raises the burden just as quickly: model-routing savings, isolated deployment and lifecycle governance must turn into large contracts and renewals. If buyers treat Droid as a more expensive coding assistant rather than a replacement for part of software delivery, the valuation multiple will weaken before usage does.
▪ SIGNALThe next coding-agent contest will be decided by entry into enterprise governance, procurement and delivery, not code generation alone.
❯ Profound Raises $180M Series D, Reaching a $1.8B Valuation Within Seven Months
[Rapid return] AI marketing platform Profound raised a $180 million Series D at a $1.8 billion valuation, co-led by Sequoia Capital and Kleiner Perkins. Lightspeed, Khosla Ventures, Saga Ventures, Evantic and South Park Commons participated. The platform tracks how brands appear in ChatGPT, Gemini, Perplexity and other answer engines, then lets agents research, write, refresh content and run advertising from those insights.
[Seven months] The round comes less than seven months after a $96 million Series C in February 2026 at a $1 billion valuation, increasing the price by 80%. Buyers no longer discover brands only through lists of web links; answer engines synthesize product pages, documentation, reviews and media. Profound has consequently expanded from AI-search visibility analytics into AI Marketer, which performs research, content, advertising and reporting work.
[Brand data] Profound says it serves more than 1,000 enterprise brands, including over one-third of the Fortune 100 and 16% of the Fortune 500. Customers include Comcast, Estée Lauder, Walmart, Zoom, ServiceNow, Ramp, Cursor and Figma. The platform is built on more than 2 billion real user prompts; Context Manager unifies company knowledge, while Ads Studio connects OpenAI, Google and Meta advertising. Funding will also expand its applied-AI labs in New York and San Francisco.
[A new search budget] Marketing spend is shifting from ranking web pages to winning brand selection inside answer engines. Profound combines prompt data, brand context and execution tools, allowing it to reach beyond analytics subscriptions into content and media budgets. Yet attribution remains harder than tracking clicks. It must connect model mentions to sales or acquisition cost, or the pace of financing will pull category-education expenses forward.
▪ SIGNALAs consumers ask models before visiting websites, brands will redirect part of search optimization budgets into answer-engine monitoring and execution.
❯ Arcee AI Raises at Least $150M Series B After Building an Open-Weight Model Family for $20M
[Bounded amount] Arcee AI completed a Series B but did not disclose its size in the company announcement. Fortune reported the round at at least $150 million, with a post-money valuation above $1 billion. Vista Equity Partners, Cambium Capital and Emergence Capital led, joined by AI10 Ventures, Hitachi, IAG, Microsoft’s M12, P7 and Wipro. Arcee trains open-weight foundation models from scratch and supplies tools for tuning, evaluation, deployment and inference in customer-controlled environments.
[From tuning to pretraining] Founded in 2023, Arcee initially focused on model compression and post-training, then raised a $24 million Series A in 2024. Less than a year ago it decided to pretrain models itself, scaling Trinity in six months from a 4.5 billion-parameter dense model to a 400 billion-parameter mixture-of-experts model. The company says its entire 2025 lineup cost about $20 million, including people, compute, data, infrastructure and operations.
[An open stack] Trinity Large carries a permissive license, while Arcee aims to cover the path from pretraining through production inference and models ranging from laptops to scientific workloads. Funding will expand work with the U.S. Department of Energy and national laboratories; Genesis-Science-1 is an initial scientific deployment. The investor group mixes enterprise-software funds with strategic backers such as Hitachi, Microsoft and Wipro, adding distribution and sovereign-control logic to the deal.
[Efficiency bet] The round prices model ownership and bets that training efficiency can offset a compute disadvantage. If a $20 million program can keep producing competitive models, enterprises gain an alternative to closed APIs. Open weights, however, weaken pure access fees, forcing Arcee to monetize customization, tooling and deployments. A larger Series B funds more pretraining while making benchmark gaps with leading labs impossible to avoid.
▪ SIGNALThe open-model business is moving from downloads to who can train efficiently and complete deployment inside an enterprise’s own environment.
OUTLOOK
[The capital tally] The seven deals total $1.843 billion. Temporal, Cornelis and Impulse Space captured $1.063 billion, showing that the largest checks still favor durable execution, networking and spacecraft infrastructure. Factory, Ridgeline and Profound show that application software can also earn billion-dollar prices when it controls development, asset-management or marketing workflows. Arcee sits between the two as an efficiency bet. The next phase will be measured less by financing cadence than by three sets of numbers: real infrastructure utilization, enterprise-software renewal and expansion, and capability gained per dollar of open-model training. Capital has prepaid the expectations; revenue quality and delivery speed now have to settle the bill.