TypeSafe valuation figures landed on 9 October 2026, and they are large. TypeSafe AI, the San Francisco startup behind Jev, the decision model that does not write text, has raised $870 million at a $7.5 billion valuation. Andreessen Horowitz led the round, Sequoia Capital and the seed investor DCVC joined, and a16z general partner Martin Casado takes a board seat. Jev launched in early access on 15 September, so the headline writes itself: a multibillion-dollar price, 24 days after launch.
The headline is true. Several of the numbers being passed around underneath the TypeSafe valuation are not, or not quite. We read TypeSafe’s own announcement, a16z’s investment note, Bloomberg’s reporting as carried by other outlets, the Financial Times and Wall Street Journal stories from late September, TypeSafe’s pricing documentation and its newest customer case study. Then we did the arithmetic the coverage skipped: the step-up from the seed, the gap between the talk and the close, and what the reported token volumes are worth at list price.
This is the ninth article in our running coverage of Jev. The Jev model launch analysis explains what the model is and what its benchmarks measure, how developers adopted TypeSafe AI covers the first week, and Jev’s rivals and the talk of LLM alternatives maps the copycats. This piece is about the money, and about what the TypeSafe valuation asks the business to prove.
Table of contents
- What the TypeSafe Valuation Announcement Actually Says
- The Seed Price Behind the TypeSafe Valuation Is More Than a Year Old
- The TypeSafe Valuation Came In Below the Talk
- Can Revenue Support the TypeSafe Valuation? The Token Arithmetic
- The Jevons Test Behind the TypeSafe Valuation
- The Adoption Claims Supporting the TypeSafe Valuation
- Rivals Priced Into the TypeSafe Valuation on the Same Day
- What the TypeSafe Valuation Means for Teams Using Jev
- TypeSafe Valuation FAQ
- References and Further Reading
What the TypeSafe Valuation Announcement Actually Says
The round was disclosed in three places on the same day, and each one tells a slightly different story. It is worth separating them before reading anything into the price.
The terms, from the company’s own post
TypeSafe’s blog post is titled “TypeSafe A raises Series AI”, a deliberate swap of letters, and it opens with “TL;DR we raised $$$”. The body is a list of promises: more machine-native models, enterprise features, infrastructure “for building smart software”. The figures sit in a single footnote at the bottom: “$870 million at a $7.5B valuation, with Martin Casado joining the board.”
That footnote is the whole of the primary disclosure behind the TypeSafe valuation. The post does not say whether $7.5 billion is pre-money or post-money, does not name the angels it calls “the tech illuminati”, and gives no revenue, headcount or burn. Tencent News described the TypeSafe valuation as post-money, and the rest of this article uses that reading, but TypeSafe itself has not said so.
| Item | What is on the record | Source |
|---|---|---|
| Amount raised | $870 million (“about $870 million” in Bloomberg’s report) | TypeSafe blog footnote; Bloomberg |
| TypeSafe valuation | $7.5 billion, basis not stated by TypeSafe | TypeSafe blog footnote |
| Round name | Series A (“a really big series A”) | TypeSafe blog |
| Lead | Andreessen Horowitz | TypeSafe blog; a16z post |
| Others | Sequoia Capital, DCVC (existing), unnamed angels | TypeSafe blog |
| Board | Martin Casado (a16z) joins | TypeSafe blog footnote |
| Revenue | Not disclosed; “profitable after expenses” per the CEO | Bloomberg |
| Team size | “Just over 20 people” in San Francisco | Bloomberg |
How the news came out
TypeSafe’s post is dated 9 October, and the site build that carries it is stamped 08:30 UTC that morning. Bloomberg’s report, headlined “Andreessen Horowitz Backs Jev Maker at $7.5 Billion Value”, ran the same day, and the Chinese crypto news site PANews was relaying it by 13:09 UTC. SiliconANGLE followed at 20:13 UTC, and TechCrunch’s short item by Marina Temkin, the headline you have probably seen, at 21:41 UTC.
Bloomberg’s piece holds most of the colour the others lack: the team size, Almeida’s statement that Jev is “profitable after expenses” while declining to share revenue, the fact that TypeSafe leaned on Modal Labs for compute to cope with demand, and a story about the CEO dyeing his hair pink live on the company’s Discord to celebrate early traction.
What the money behind the TypeSafe valuation is for
TypeSafe’s own list is vague by design (“we find fundraising announcements incredibly boring”). Bloomberg’s version is plainer: scale product rollouts, hire, and lock in more compute. A spokesperson told Bloomberg that a16z helps portfolio companies secure computing resources by negotiating contracts and special pricing. For a company whose product’s whole pitch is that it runs at a sliver of an LLM’s cost, compute access is the input that matters most, and it may explain part of the TypeSafe valuation that a cheaper bidder could not offer.
The Seed Price Behind the TypeSafe Valuation Is More Than a Year Old
Almost every rewrite of this story frames it as a jump from a $200 million seed valuation to $7.5 billion “in under a month” or “in 24 days”. That framing is wrong, and the correction changes how fast the TypeSafe valuation really moved.
What Almeida told the Financial Times
When TypeSafe came out of stealth on 15 September, DCVC announced a $40 million seed round that it had led. The coverage read the announcement as the seed’s date. The FT’s report a week later, carried by the Financial Post, includes the line the rewrites missed: “The start-up concluded its US$40 million seed funding round at a US$200 million valuation more than a year ago, Almeida added.”
So the $200 million price was struck at some point before September 2025, when TypeSafe was a stealth lab with no public product. The seed was announced on launch day; it was not priced on launch day.
Why “$200 million to $7.5 billion in 24 days” misleads
Twenty-four days is the gap between Jev’s launch and the Series A. It is not the gap between the two prices. The honest description is a 37.5x step-up across more than a year, most of which TypeSafe spent building in private, with the whole of the repricing landing in the four weeks after launch because that is when outsiders first saw the product.
That still makes the TypeSafe valuation one of the steepest step-ups in venture history. But a reader comparing the TypeSafe valuation with other rounds should compare like with like: a pre-product seed against a post-launch Series A, not two numbers a month apart.
The TypeSafe valuation step-up, in numbers
The calculations below use TypeSafe’s two disclosed prices and treat both as post-money, as the seed coverage and Tencent News describe them. They ignore option pools and any other financing, which TypeSafe has not disclosed.
| Measure | Calculation | Result |
|---|---|---|
| Step-up, seed to Series A | $7.5B ÷ $0.2B | 37.5x |
| Implied pre-money | $7.5B − $0.87B | $6.63B |
| New investors’ stake | $0.87B ÷ $7.5B | 11.6% |
| Seed investors’ stake before | $40M ÷ $200M | 20.0% |
| Seed stake after dilution | 20.0% × (1 − 11.6%) | 17.7% |
| Seed stake on paper | 17.68% × $7.5B | $1.33B (33x the $40M) |
| Valuation per employee | $7.5B ÷ 20 to 25 staff | $300M to $375M |
The 11.6% figure is small for a Series A. It means the TypeSafe valuation let the founders and seed holders raise close to a billion dollars while giving up barely a ninth of the company, which is the practical prize of a high price.
The TypeSafe Valuation Came In Below the Talk
The second correction runs the other way from the hype. The round that closed is smaller, and priced lower, than the round the press said was on offer two weeks earlier.
What was reported in September
On 24 September The Information reported that TypeSafe was in talks to raise $1 billion or more, with some prospective investors suggesting a valuation of at least $10 billion. The FT reported the same week that the startup was “fielding approaches” at $10 billion or more, and Almeida told it investors were “battering down our door”. The WSJ repeated The Information’s figures on 2 October, and Almeida declined to comment on them.
The close was $870 million at a TypeSafe valuation of $7.5 billion. Against the reported talk, that is 13% less cash and a 25% lower price.
Andreessen Horowitz’s last mega-seed went the other way
The comparison that makes this interesting is Thinking Machines Lab, Mira Murati’s startup, whose $2 billion seed a16z also led. Several outlets reported in June 2025 that it was close to closing at a $10 billion valuation; TechCrunch reported a month later that it closed at $12 billion. That round finished 20% above the talk. The TypeSafe valuation finished 25% below it, with the same lead investor.
| Round | Reported talk | Close | Close vs talk | Cash ÷ valuation | Product at close |
|---|---|---|---|---|---|
| TypeSafe Series A (Oct 2026) | $1B+ at $10B+ | $870M at $7.5B | −25% price | 11.6% | Yes, 24 days old |
| Thinking Machines Lab seed (Jul 2025) | $2B at $10B | $2B at $12B | +20% price | 16.7% | No |
| Safe Superintelligence (Sep 2024) | n/a | $1B at $5B (Reuters) | n/a | 20.0% | No |
The chart sets each figure against the largest one in the table, Thinking Machines’ $12 billion close, so a full bar is $12 billion and each width is the valuation divided by 12.
What the gap does and does not show
It does not prove the TypeSafe valuation fell. Reported offers are not term sheets, and as the news site RuntimeWire put it, the earlier reports and the final terms “describe different stages and do not establish how negotiations changed”. A founder can take a lower price from a lead who brings a board member, compute contracts and a brand, and many do.
What the gap does show is that the TypeSafe valuation was not set by the most excited bidder in the market. Someone priced the company at $7.5 billion after two more weeks of evidence, including the copycat wave and OpenAI’s own decision product, and that is a more useful anchor than “$10 billion offers”.
Can Revenue Support the TypeSafe Valuation? The Token Arithmetic
TypeSafe will not say what it earns, which leaves the TypeSafe valuation without its most important input. It has said enough about volume and price for a reader to bracket the answer, as long as the assumptions are stated.
What TypeSafe has disclosed
Four facts are on the record. Jev costs $0.042 per million input tokens, and output is free, according to TypeSafe’s model documentation. Almeida told the WSJ in an interview on 28 September: “We were at a trillion tokens per day about a week ago. And obviously, growth has been exponential.” Bloomberg reported that TypeSafe now processes “trillions of tokens each day”. And both DCVC’s James Hardiman (to the FT) and Almeida (to Bloomberg) said the company is profitable, without giving numbers.
The list-price ceiling
Every token Jev bills is an input token, so revenue at list price is simply daily tokens multiplied by $0.042 per million. One trillion tokens a day is $42,000 a day, or $15.33 million a year. That is the most the reported volume can earn at list, before any discount, free credit or reseller margin.
| Daily input tokens | Revenue per day at $0.042/M | Annualised (× 365) | $7.5B ÷ annualised |
|---|---|---|---|
| 1 trillion | $42,000 | $15.33M | 489x |
| 2 trillion | $84,000 | $30.66M | 245x |
| 3 trillion | $126,000 | $45.99M | 163x |
| 5 trillion | $210,000 | $76.65M | 98x |
| 10 trillion | $420,000 | $153.30M | 49x |
“Trillions of tokens each day” means at least two. At two to three trillion a day, the TypeSafe valuation is roughly 160 to 250 times its list-price run rate. That is a growth-equity multiple for a company expected to grow many times over, not a price for the business as it stands.
The break-even against a recent AI round
For scale, Cognition’s $48 billion round in September priced the coding-agent company at about 53 times its stated $900 million run rate, as our Cognition valuation analysis worked out. For the TypeSafe valuation to sit on the same multiple at list price, Jev would need about $140.6 million a year, or $385,000 a day. At $0.042 per million tokens, that is about 9.2 trillion input tokens every day.
The chart below shows the implied multiple at each volume, with Cognition’s 53x as a reference line. Bar widths are each multiple divided by the largest, 489.
Why the real figure is probably lower
Three things push actual revenue below the ceiling, and each one makes the TypeSafe valuation look richer. Much of Jev’s traffic arrives through resellers such as Vercel’s AI Gateway, OpenRouter and Cloudflare, which keep a margin. Early-access credits and launch-week experiments generate tokens that nobody pays for. And enterprise deals usually buy volume discounts. Nothing on the record suggests any customer pays above list.
There is also a definitional wrinkle. Andreessen Horowitz wrote that Jev reached “1 trillion tokens generated in merely 3 days post launch”. Jev barely generates anything; its output is a choice index or a score, and TypeSafe does not charge for it because it is so small. The trillion that matters for revenue is input tokens processed, and the two descriptions in circulation (a trillion over three days, and a trillion per day a week later) differ by a factor of three.
Throughput puts the claim in proportion
One trillion tokens a day is about 11.6 million tokens a second, around the clock. TypeSafe’s published rate limit is 100,000 tokens per second, so a trillion a day is about 116 times that limit running flat out. The volume therefore has to come from many customers at once, from resellers with their own allocations, or from contracts with higher limits. All three are plausible for a model with Fortune 500 users and three large resellers.
The Jevons Test Behind the TypeSafe Valuation
Jev is named after William Stanley Jevons, the Victorian economist who argued in The Coal Question that more efficient steam engines would increase coal consumption, not reduce it. Andreessen Horowitz’s investment note leans on the same idea: “Call it the Jev-ons paradox: make intelligence cheap enough to call anywhere, and it gets called everywhere.” The TypeSafe valuation is, in effect, a bet that the paradox holds for decisions.
What the newest case study shows
On 7 October TypeSafe published a case study with Jack & Jill, a talent marketplace run by AI agents. Jack & Jill used Gemini 3.1 Flash Lite to score 6,000 candidates per open role down to a shortlist of 2,000. Within ten days of its first test it moved 100% of those calls to Jev.
| Metric | Gemini 3.1 Flash Lite | Jev | Change |
|---|---|---|---|
| Cost per 1,000 candidates scored | $0.755 | $0.092 | −88% |
| Median screening time | 20.3 s | 10.3 s | About half |
| Winners kept on the shortlist | 93.9% | 94.6% | +0.7 pts, not significant (90% CI −0.4 to +1.8) |
| Ranking quality (AUC) | 0.924 | 0.933 | +0.009 |
| Annual savings, current volume | n/a | $265,000 | $500,000 projected with growth |
The test is better designed than most vendor case studies. It used 150 live roles, included every candidate a hiring manager had later asked to meet, and reported a confidence interval that straddles zero rather than claiming an accuracy win.
What TypeSafe earns from its own best case
Run the same numbers from TypeSafe’s side. If $265,000 a year is 88% of Jack & Jill’s old bill for this stage, the old bill was about $302,000 and the new Jev bill is about $37,000. TypeSafe’s flagship customer story moves roughly $265,000 out of the AI budget and captures about $37,000 of it.
The chart compares the cost of scoring 1,000 candidates on each model. Widths are each price divided by Gemini’s $0.755.
The 8.2x rule
Divide the old price by the new one: $0.755 ÷ $0.092 is 8.2. A workload that moves from Gemini Flash Lite to Jev has to grow 8.2 times before the customer spends as much on AI as it did before. Below that, every migration shrinks the market TypeSafe is selling into.
That is the Jevons test for the TypeSafe valuation in one number. The case study offers early evidence that the paradox can hold: Jack & Jill now runs Jev in more than 15 workflows, including checks it could not afford before, such as matching every new sign-up against every open role “for under $0.10 per candidate”. Those extra workloads are exactly the new demand the TypeSafe valuation needs, and they are excluded from the savings figure.
What has to be true
For the TypeSafe valuation to make sense at anything like the multiples software companies trade on, the cheap decisions have to create far more calls than they replace. Migrating existing classifier spend will not get there on its own. The company has to make it worth calling a model in places where nobody calls one today: inside every form validation, every log line and every routing step.
The Adoption Claims Supporting the TypeSafe Valuation
Investors set the TypeSafe valuation on adoption, and both the company and its lead investor published adoption figures on the same day. They do not match.
A quarter or a third of the Fortune 500?
On 28 September Almeida told the WSJ that Jev was in use at “some 25%” of Fortune 500 companies. On 9 October a16z’s investment note said “25% of the fortune 500 enterprises have integrated Jev”, while TypeSafe’s own post the same day said “A third of the Fortune 500 are getting their Jev on”. Bloomberg reported “about a third” and noted that TypeSafe declined to name the customers.
| Date | Who said it | Wording | Implied companies |
|---|---|---|---|
| 28 Sep | Almeida, to the WSJ | “in use by some 25%” | About 125 |
| 9 Oct | a16z investment note | “25% … have integrated Jev” | 125 |
| 9 Oct | TypeSafe blog | “A third … are getting their Jev on” | About 167 |
| 9 Oct | Bloomberg, from TypeSafe | “about a third”, customers not named | About 167 |
The gap is about 42 companies. Either 42 more of the largest US companies started using Jev in eleven days, or the two numbers count different things. “Integrated” and “using” are not the same claim. A single engineer calling the API from a corporate email address can count as “using”; an integration in a production system is a much higher bar. Neither TypeSafe nor a16z has defined either word.
Users and attention
Bloomberg reported that Jev passed one million users within days. The launch video drew 40 million views on X in under a week, according to the FT. Vercel said Jev reached about 13% of its paid AI Gateway teams within a day, more than any model before it, as our adoption piece recorded. These are strong attention numbers. None of them is a revenue number, and the TypeSafe valuation is ultimately a claim about revenue.
What the accuracy evidence says so far
The other thing adoption cannot show is whether Jev is right. TypeSafe’s own headline benchmarks, 193.6 times faster and 444.6 times cheaper, come from workflow evaluations its own team built, and the company says they sit “on the higher end” of real-world gains. Our launch analysis found that those evaluations score Jev against the average answer of two frontier models, which measures agreement rather than correctness.
Independent tests since then have been mixed: strong on speed and cost, uneven on hard or ambiguous judgments. Anastasios Angelopoulos, chief executive of the model-evaluation platform Arena, told the FT: “It’s unclear to me what makes these models different from standard ‘zero-shot classifiers’, which are relatively well-known technology.” Almeida’s answer, to Bloomberg, is about consistency rather than brilliance: “If you get Einstein 95% of the time, but Mr. Bean the other 5% of the time, that is completely useless for automation.”
Rivals Priced Into the TypeSafe Valuation on the Same Day
Wowtale’s report on the round said that “a month later, no direct rival in the same category has clearly emerged.” That is not the record. The rivals arrived quickly, and one of them launched on the day of the round, at the same price.
Microsoft matched the price on 9 October
Microsoft released Microsoft-Decision-1 in its Foundry catalogue on 9 October, the same day as the TypeSafe valuation news, priced at $0.042 per million input tokens with free output. That is Jev 1.13’s price exactly. Our Decision-1 analysis covers the benchmarks Microsoft published and the edit it later made to them.
The field four weeks after launch
| Product | Vendor | First available | Input price per 1M tokens | Notes |
|---|---|---|---|---|
| Jev 1.13 | TypeSafe AI | 15 Sep | $0.042 | Output free; text input only |
| Decisions API | OpenAI | 29 Sep (preview) | $0.10 | General availability “in the coming weeks” |
| Clef / Clef-flash | Cloudflare | 1 Oct | $0.24 / $0.09 | Open weights; accepts images |
| Strands Decider | Amazon | 1 Oct | Self-hosted | Open 2B model |
| Microsoft-Decision-1 | Microsoft | 9 Oct | $0.042 | Same price as Jev; Foundry |
The OpenAI Decisions API and the wider decision model layer each have their own article. The point for the TypeSafe valuation is simple: by the time a16z signed, Jev had a same-price competitor from Microsoft, a cheaper-than-OpenAI position to defend, and a crowd of open models that any enterprise can host itself.
Why a16z paid the TypeSafe valuation anyway
Casado’s case, as quoted by Bloomberg, is that the demand was already there. “There’s almost like a Jev-shaped hole in the industry already,” he said. “All the developers are like, this is what I’ve been trying to do, poorly.” He compared TypeSafe to Cursor, which a16z also backed early: Cursor helped developers produce more software, and TypeSafe helps them build better software for less.
The firm’s note calls the launch “the biggest narrative violation we’ve seen this year” and says Jev is “the fastest growing model we’ve ever seen”. Read together, the TypeSafe valuation is less a bet on the current model than on the company that made it: a small team that built a new architecture and a training method based on reinforcement learning, shipped first, and now has the cash to ship the next System One model before the copies catch up.
What the TypeSafe Valuation Means for Teams Using Jev
For a buyer, a funding round is a vendor-risk event, not a product update. The TypeSafe valuation changes a few practical things, and leaves others exactly as they were.
The vendor is now well funded
The most direct effect is durability. A company with $870 million in new cash, a profitable core product by its own account and a Sequoia and a16z cap table is unlikely to vanish in the next two years. TypeSafe said as much: “We are a real company and we’re here to stay.” For procurement teams that hesitated over a startup that was in stealth two months ago, that objection is weaker now.
The price may not stay where it is
A TypeSafe valuation this high raises the pressure to grow revenue, and $0.042 per million tokens with free output is the lowest list price in the category bar Microsoft’s match. Watch for three things: whether output stays free, whether enterprise tiers carry higher prices, and whether rate limits keep moving. TypeSafe’s documentation now lists rate limits of 100,000 tokens and 80 requests per second, and it has adjusted those limits before.
Keep the model swappable
Decision models are easier to swap than chat models, because the interface is a schema and a score. Design for that. Keep a golden test set with labelled answers, record calibration as well as accuracy, and run the same questions through a second provider, Microsoft-Decision-1 at the same price or an open model you host, before you commit a workflow. The AI strategy work we do with clients starts from that kind of portability, and an IT governance review should treat any single-vendor decision layer as a dependency to document.
| Question for TypeSafe | Why it matters after the round | Where the record stands |
|---|---|---|
| Will output stay free? | Revenue pressure rises with valuation | Free today, no commitment published |
| What do enterprise contracts add? | “Enterprise features” are the stated use of funds | Not yet specified |
| How does the jev-latest alias move? | A new model can change your scores silently | Alias points to the latest stable release; pin a version |
| Where is data processed and kept? | Fortune 500 buyers need residency answers | Check the data-handling docs and contract |
| Can you fine-tune on your own data? | Lock-in and accuracy on niche tasks | No; customisation is through state and criteria |
Treat the adoption numbers as marketing until defined
If a vendor pitch cites “a third of the Fortune 500”, ask what counts. The difference between a quarter and a third in two documents published on the same day is the clearest sign that the figure is a sales line, not an audited metric. That is normal for a startup. It is not a reason to skip your own evaluation.
TypeSafe Valuation FAQ
How much did TypeSafe raise, and at what valuation?
$870 million at a $7.5 billion valuation, announced on 9 October 2026. Andreessen Horowitz led, with Sequoia Capital, DCVC and angel investors taking part, and a16z’s Martin Casado joined the board.
Is the TypeSafe valuation pre-money or post-money?
TypeSafe has not said. Tencent News described it as post-money; on that basis, the pre-money value is $6.63 billion and the new investors own about 11.6%.
Did TypeSafe really go from $200 million to $7.5 billion in 24 days?
No. The $200 million seed price was struck more than a year ago, Almeida told the FT. Twenty-four days is the time from Jev’s launch to the Series A, not the time between the two prices.
Is TypeSafe profitable?
Almeida told Bloomberg that Jev is profitable after expenses, and DCVC’s James Hardiman told the FT the same in September. Neither gave revenue or margin figures.
Why is the TypeSafe valuation lower than the $10 billion reported in September?
The September figures were reported offers and talks, not closed terms. The round closed with 13% less cash and at a 25% lower price than The Information reported. Neither TypeSafe nor a16z has explained the difference.
What is Jev?
A decision model that returns typed answers, such as a choice from a list, a score or a probability, instead of text. It costs $0.042 per million input tokens, with free output, and is designed to be called from code rather than chatted with.
References and Further Reading
TypeSafe A raises Series AI (TypeSafe AI)
Investing in TypeSafe AI (Andreessen Horowitz)
The maker of non-text AI model Jev valued at $7.5B just weeks after launch (TechCrunch)
Andreessen Horowitz Backs Jev Maker at $7.5 Billion Value (Bloomberg)
TypeSafe Raises About $870 Million After Jev Launch Goes Viral (Market Briefs, from Bloomberg)
Jev creator TypeSafe closes $870M round at $7.5B valuation (SiliconANGLE)
Bloomberg reports TypeSafe raised $870M at a $7.5B valuation (RuntimeWire)
The cheap new AI model taking aim at OpenAI and Anthropic (Financial Times via Financial Post)
Startup TypeSafe AI’s Jev Model Sparks Copycats, Talk of LLM Alternatives (The Wall Street Journal)
Jev Fervor Leads to Talk of Big Valuation Boost (The Information)
TypeSafe emerges from stealth with a new way of doing AI (DCVC)
How Jack & Jill Cut Candidate Screening Costs By 88% With Jev (TypeSafe AI)
Jev models, pricing and limits (TypeSafe AI docs)
Introducing System One Models and Jev (TypeSafe AI)
TypeSafe AI Raises $870M Series A at $7.5B Valuation (Unite.AI)
Mira Murati’s Thinking Machines Lab is worth $12B in seed round (TechCrunch)
Ilya Sutskever’s startup, Safe Superintelligence, raises $1B (TechCrunch)
Introducing Microsoft-Decision-1 (Microsoft)
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