Own your intelligence.
London
Joined September 2025
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Almost every organisation on Earth is paying for the privilege to hand over its IP to someone else's AI.
We just closed a $50M Series A, led by @NEA, to build the alternative from right here in London: every model, agent and workload sealed in its own enclave, on infrastructure you control, with keys only you hold.
You can't be sovereign on someone else's stack. Build your own with Valarian.
Europe is building.
Meet Mistral Large 4, aka Le Chonk.
• 1T parameters, natively multimodal. 49B active.
It is the best open weights model from US or Europe on aggregated benchmarks.
• State-of-the-art on critical workloads, including cyber defense, manufacturing and finance and it surpasses closed frontier models on visual grounding.
• Forged in Europe end-to-end and is deployable from Europe via our own Mistral Cloud infrastructure.
• Available to all via API today. Working with cybersecurity partners privately.
Open weights release end of October.
Own your intelligence without sacrificing frontier performance.
Europe has to build the best products in the world.
@max_buchan from @Valarian thinks that means focusing on the areas where it can really win.
Europe needs to stay in control of the technology it depends on.
Valarian retweeted
‘Local alternatives will be worse’
Where does this mindset come from?
Britain can build. We built @Valarian from London. Backed by some of the world’s best investors, and deployed on 4 continents.
We love @SebJohnsonUK but this is an absolute cheems thing to say
The Palantir question is the most interesting issue in UK tech today.
To what extent are we willing to trade quality for sovereignty?
Any local alternative will, without doubt, be worse than Palantir.
This week we've seen the French kick off about having to switch from Teams to a local alternative (and how terrible it's been).
The difference for us is that switching to a worse alternative could mean fewer free hospital beds and fewer police officers on the street.
Is that a sacrifice we're willing to make?
Personally I'd love to see @louismosley leave Palantir and raise $500m to build a European alternative. This would becone one of the fastest-growing tech companies in Europe overnight.
Valarian retweeted
Wrong.
You said a British alternative would “*obviously* not work”
Worse, you said even _searching_ for an alternative is a "dreadful idea".
You automatically assumed Britain can't build.
We can. We must. Britain will.
For reference, I completely agree with @max_buchan
- I am British and and think the UK is one of the best places in the world to build a globally leading technology business and the last few centuries we have proven that.
Our new order AI/Scaleup landscape competes with the best in the world; Deepmind, Inherent, Fractile, Valarian, Callosum, Fuse, Synthesia, ElevenLabs, Recursive, Ineffable + the many more that are currently on gardening leave waiting to announce their rounds.
My issue is only with sovereignty for sovereigns sake where if we were to truly do this we'd have to give up most of the technology we use on a daily basis!
Valarian retweeted
This is the reason I almost moved to the US to build, the assumption by so many here is it'll be crap if it's built in the UK.
Totally wrong.
Britain built the modern world. We will do so again.
What a disastrously dreadful idea this is.
Using the Palantir contract as a sacrificial lamb so we can all cheer and high five our way to a sovereign wasteland in order to conclude that yes, in fact we did it, we have officially bought British (why is this good?)
While we're at it lets throw our Chinese manufactured iPhones in the Thames and push our German cars into a ditch and stop reading the Japanese owned Financial Times.
The NHS shouldn't be a playground where we test out home-grown last minute softwares that will obviously not work - the only thing thats basically guaranteed here is that people will lose their lives.
If we wanted something as good as Palantir we should of invested $2.46B of private funds into a homegrown solution over two decades ago - just like Palantir.
Valarian retweeted
We’re decentralising intelligence @Valarian
Delighted to support @bfbsesports final last week - amazing talent on display, demonstrating the skills Defence needs now @Valarian @ForcesNews
"I spent 12 years in the Army working in intelligence and the biggest problem I found was..."
Jonnie Beddall, our VP Strategic Markets, at @bfbsesports Pro League Finale on why he joined Valarian
Non-deterministic agents need deterministic boundaries. No matter how much they've been trained to, they cannot police themselves.
Ultimately non determinism should be controlled by humans deploying deterministic polices that dictate agentic behavior within their own compute boundaries - @Valarian
Ever wish you had a model agnostic shared context layer for all your agents?
GPT-6.1 Sol replaces GPT-6 Sol after just 7 days. It scores 1 point below GPT-6 Astra in the Intelligence Index at less than one quarter of the Cost per Task
Pricing matches GPT-6 Sol at $2/$10 per million input/output tokens, except that the cache read discount rises from 90% to 95%. GPT-6.1 Sol’s overall blended price for agentic workloads is therefore slightly lower than GPT-6 Sol. This represents an additional price cut, following GPT-6 Sol’s original 50% discount from GPT-5.6 Sol.
Key takeaways:
➤ Achieves near-Astra Intelligence: GPT-6.1 Sol gains 4 points in the Intelligence Index vs GPT-6 Sol, and 5 points vs GPT-5.6 Sol - landing 1 point below GPT-6 Astra. It makes significant gains in agentic knowledge work, improving 4 points and 5 points in AA-Briefcase v1.1 and GDPval-AA v2.1 respectively. Other notable gains include a 12 point jump in Terminal-Bench 4.0, a 5 point jump in Humanity’s Last Exam, a 6 point jump in GDP.pdf, and an 8 point jump in AA-Omniscience Accuracy coupled with hallucination rate falling from 60% to 54%.
➤ Pushes cost efficiency frontier: At max effort, GPT-6.1 Sol costs less than a quarter of GPT-6 Astra per Intelligence Index task ($0.72 vs $3.26). It also costs 31% less per task than GPT-6 Sol ($1.05) and 64% less than GPT-5.6 Sol ($1.99). All effort levels of GPT-6.1 Sol push out the cost efficiency Pareto frontier: for a given level of intelligence, there is no cheaper model.
➤ Pushes token efficiency frontier, but uses slightly more output tokens than GPT-6 Sol: GPT-6.1 Sol uses ~10-30% more output tokens than GPT-6 Sol across effort levels. However, due to the increase in Intelligence Index score, its low and medium effort levels are Pareto optimal for token efficiency.
➤ Gains in Coding Agent Index: GPT-6.1 Sol gains 3 points on GPT-6 Sol at max effort in the Artificial Analysis Coding Agent Index, and sits 2 points below GPT-6 Astra.
Congratulations @OpenAI and @sama on the launch!
"When you deploy an agent, no matter how smart, the first thing you do is you take away all of its rights." -- @JensenHuang
AI agents need clear limits on what they can do, and those limits need to hold up while they’re working. @JensenHuang was on CNBC this morning to talk about the safety measures we’re building to help make that happen.
🎥 from @SquawkCNBC:
An agent cannot be expected to police itself.
Once a non-deterministic agent can act, a deterministic layer is needed to mediate what it has access to.
From what we know (take with a grain of salt, we need much more transparency!), if @OpenAI had been running this on their own agents that attacked us, they would have caught them before we did!
Since the first agent cyberattack hit us in July, we've been asking what safe agent infra actually needs. Our current read: the destinations were allowed, the payloads weren't. By OpenAI's own account the agents turned an allowed package repository into a message board. Allowlists alone restrict where an agent can go, not what it does.
So here's our first contribution to OpenShell, part of the just launched @nvidia Open Agent Safety Platform: monitoring of the traffic you already allow.
- Network budgets per sandbox (requests, writes, bytes)
- Drift versus each sandbox's baseline and the cohort
- Fleet view: many sandboxes suddenly writing to one host raises a finding, even if every single request is allowed
In the demo below, 4 sandboxed agents coordinate through a software repository they're all allowed to use. 0 rules broken, caught in minutes. That fleet view is exactly the message board pattern from July.
OpenShell: github.com/NVIDIA/openshell
Our proof of concept: github.com/Hugoch/OpenShell/…
Agent security will be solved in the open, collaboratively, together!
Great to sponsor yesterday's @bfbsesports League Finale! 🏆🎮
Contain agents and secure your data in true zero-trust infrastructure with ACRA.
The vote for the BFBS Valarian Pro League Finals MVP over on our discord 🏆
🔗 discord.gg/BFBSesports
Valarian retweeted
How to own your own Ai as a company in 4 steps with @Valarian platform:
1.) select your favorite harness
2.) select any open weight model
3.) create your enclaves and boundaries
4.) deploy on your own cluster, anywhere cloud or local
We made it that simple.
SCOOP: OpenAI, Anthropic and security researchers are investigating tens of thousands of incidents - not dozens - in which their frontier models took steps that outside evaluators would consider problematic, sources told Axios.
The sheer volume of incidents found in our reporting indicate that the problem is orders of magnitude more complex than what is currently publicly known and disclosed.
The findings also raise questions about what level of control anyone working on AI development can expect to have over their own technology, and whether these kinds of incidents are becoming synonymous with frontier deployment.
Read my latest for Axios here: axios.com/2026/09/26/openai-…
You don't need to sacrifice your privacy to use frontier intelligence.
Formula is =
@perplexity_ai Sovreign computer (best harness in world)+ any open weight + @Valarian control plane + @cerebras fast inference chip.
You can create a faster/better frontier experience with 100% privacy.
