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Venture firm that participated in ElectronX's 2024 seed and led its $30 million Series A in November 2025.
No evidence-backed relationships are recorded.
Diogo Almeida's TypeSafe put Jev into early access on 15 September with $40m from DCVC, and it sells a calibrated confidence number on every answer as the thing that makes automation possible, with the evaluations behind that claim built in-house.
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TypeSafe AI is in talks to raise over $1 billion at a valuation above $10 billion, 50 times its seed price from two weeks earlier. Buyers at that price are paying for launch-week usage and an investor's profit claim, with no revenue figure published.
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TypeSafe's Jev answers typed questions with floats and probabilities. An invoice pipeline that handed it classification and catalogue selection still needs a generative model for field extraction and for the note a human reads.
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Bloomberg reports the London startup raised $100 million in seed money to route each task to the cheapest workable model-chip pairing. The wager is that heterogeneity outlasts convenience.
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A $150M Series A backed by Nvidia, Siemens, RWE and 12 Fortune Global 500 investors bets that curtailable data centres get grid access the rest of the queue has to wait for.
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Jev charges $0.042 per million input tokens and nothing for output, so TypeSafe AI's revenue moves only with the state that agents pass in. Vercel, Cloudflare, LangChain and Langfuse listed it within a week.
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The langchain-typesafe package lets an agent submit its state and a list of pre-defined questions in one request, and the speed figures behind it are TypeSafe's own, measured from laptops beside its own service.
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TypeSafe's first model, Jev, answers structured questions with typed output and a confidence measure attached. The account of its launch says developers have to check those scores against real outcomes on their own data first.
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Lenders price collateral and contracted cash rather than addressable markets, which makes the split the story here, because REGENT has $15M of contracted Marine Corps work sitting behind $120M of borrowing and a $9bn pre-order book that pays nobody yet.
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Emerald AI raised $150 million to make AI workloads curtailable on utility request. Its strongest evidence is a two-day test on one cluster, and the contract that would matter does not exist yet.
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A $150mn Series A backed by Nvidia, Siemens, RWE and GE Vernova prices workload curtailment as the cheap answer to interconnection queues. The demonstrated evidence is one cluster.
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The Cambridge company says routing agentic work across Nvidia, AMD and Google chips doubles accuracy at a quarter of the cost. No customer has confirmed those numbers.
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Atomico led a $100m seed into a London compute-routing startup that raised $10.25m in February. The UK's Sovereign AI Fund made its first-ever investment here, in April.
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ElectronX now lists hourly contracts on four US grids its own figures put at close to 60 percent of national load. The CFTC just let brokers in. Volume is still tiny.
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