We’ve raised $2B at a $48B valuation, since our last round a few months ago, we've gone from $492M to near $900M, the era of self-driving software has begun
Devin has gotten even more awesome in this same time period. From adding security swarm, Devin Automations, auto-triage, iOS/Windows/Android support, and a whole assortment of other features, the experience feels more robust than ever.
Our customers are our best product managers, we work very closely and deeply understand their business and problems, and implement new features and fixes faster than ever
It’s been a privilege working with some of the most talented people on the planet. I'm humbled to be on this ride and look forward to continue building the future of software engineering
The world needs far more software than it can build. Cognition exists to change that.
We’ve just raised over $2B at a $48B valuation, led by a16z, Accel, Founders Fund, General Catalyst, and Avenir.
Since our round in May, run-rate revenue has grown from $492 M to almost $900 M.
Claude Mythos 5.2 is now available in Devin’s managed security scans.
We are giving $100M+ in credits to help companies find and fix their most critical vulnerabilities with Claude Mythos 5.2. Eligibility criteria and conditions apply.
On our internal cyber benchmark, Mythos 5.2 scores 73.5, a substantial step up from Mythos 5.1’s 56.9.
With how comprehensive these models are getting in terms of finding cybersecurity vulns and unpredictable behavior, having an environment as close to real life will start to become more and more important for agents to test against
introducing https://t.co/X4XdHcGRvd by @raindrop_ai
test your agent on every PR, against real scenarios, with one-click.
we handle all the set up: sandboxing, fixtures, real data, synthetic data, evals and more.
We've released our latest model SWE-2 Flash based on Inkling-Small from @thinkymachines
By post-training the model, we were able to outperform all American open-weight models as well as get the cost to be 20% of SWE-2 while making it 3x faster
We're going to make this free for the rest of November, so give it a try today!
Introducing SWE-2 Flash, our new fast & efficient coding model.
On leading evals, it outperforms all American open-weight models, even ones 3x larger.
To balance transparency and cyber risks, we are building a program to securely share the weights with partners & researchers.
The intelligence frontier keeps advancing every day. Are your agents delivering better outcomes on what matters?
For enterprises, the promise of agents is more work completed reliably, with less human intervention and a lower cost per successful task.
Today, we’re launching @neosigma_ai and our mission to empower every organization to build their own sovereign intelligence lab.
A place to operationalize their knowledge, replay real work, and optimize agents against the outcomes that matter to their business. Where production experience compounds into intelligence the organization owns.
We’re starting with NeoEval, our automated evaluation engine. It turns your production data into evaluation environments - that dynamically evolves along with your users, workflows, and frontier.
A playground for evaluating and optimizing your agents.
Your data. Your institutional knowledge. Now operationalized into evals and compounding intelligence.
Stay tuned for the next few days of updates from NeoSigma.
Imagine if everyone had the tools to shape intelligence itself. That day is today.
Today we launch the Trajectory platform - the easiest and most intuitive tool to post-train models of your own. The foundation for continual learning.
With just a few agent prompts, you get access to a full creative suite to train, eval, and deploy trillion parameter models.
On top of that, we believe in a future where you don’t just shape your model once, it also keeps learning on its own from the world around it.
We’re releasing two research previews.
1. Continual grading scales your taste, so your model learns what good looks like from far more than you could ever grade by hand.
2. GS1, a new algorithm that lets models learn directly from what they do in production.
We’ve now raised 60M, with a new round led by @Sequoia at a 300M valuation to democratize the most powerful technology of today - training models - so that the lawyers, doctors, and engineers of the world can own their own intelligence.
You know what good looks like, now go build it. Own your own value function with Trajectory.
Great seeing Devin used to improve inference efficiency, this is something that normally takes many engineers but using Devin to keep looping for improvements is likely how things will be done going forward
Founded by three 22-year-olds in 2023, @mercor crossed $2B ARR in June, only 4 months after hitting $1B.
Today, millions of experts on the platform bring their knowledge of medicine, law, engineering, and beyond to frontier AI - helping models take on increasingly complex and consequential work in the real world.
Mercor's engineers move at extraordinary speed.
They give Devin long-running tasks before bed, during meetings, or on their way to the gym. They come back to tested features and PRs ready to merge.
Every so often models catch up to benchmarks and it gets difficult to discern them from each other.
At Cognition we’ve released our new eval FrontierCode 2.0, it’s more thorough and accurate than 1.1, and really showcases the gap between models. We also use this internally on how to choose models for tasks and getting the best bang for buck on running Devin
Check out the leaderboard today and we’ll continue tracking where models stand!
Introducing FrontierCode 2.0: our new coding benchmark that measures a model’s ability to go beyond the spec.
Most coding evals measure a model’s ability to write code that meets a spec. With FrontierCode 1.0, we asked a new question: would you actually merge the PR?
FrontierCode 2.0 is comprised of more diverse tasks, featuring larger scopes and higher mergeability standards. We are now asking: not only would you merge this PR, but should you?
One key feature of FrontierCode 2.0 is underspecified prompts. Rather than including every engineering decision, prompts are deliberately ambiguous, giving the models room to demonstrate their judgment.
The result is a benchmark that is far from saturated, with the top model scoring just 45%.
We've entered a period of uncertainty where there will be scary security news all the time, and worse yet, the capabilities of bad actors will continue to get more threatening
So at Cognition we're doing a few things. First we're releasing Devin Security 2.0. We've made it easier to find vulnerabilities, validate, prioritize, and fix. This also checks the rest of your software stack for dependencies and gives you a comprehensive solution, it isn't a simple security scanner. You'll get the full power of Devin and models like Mythos
We're also giving millions of dollars of credits away for our Enterprise customers to use these tools to patch their systems. Later today Alex Stamos will also do a webinar on what we can expect going forward
We are entering a new dark age of cybersecurity. Devin is here to help.
Introducing the new Devin Security: powered by Claude Mythos and frontier cyber models, plus hundreds of millions of dollars of credits to help teams find, prioritize, and fix urgent vulnerabilities.
We’ve brought everything great about Devin Cloud into Devin Desktop. It’s been reconstructed and designed with having the best of both worlds of local and cloud agents
Try it out today! We suspect that the Desktop app will be the default app you run your agents on
Today was one of the biggest days in cybersecurity reporting and incidents with PHP, node.js, Gitlab, and more
As such, we’ve open sourced an agent plugin that can be used to help patch these. These can also be used in Devin
We’re also giving significant credits to our Enterprise users so that they can focus on remediating these. Devin is uniquely effective here since it can validate that other parts of your applications are still working after the changes
Going forward stay safe, this problem won’t go away but you can put things in place to defend against it