Amca has been awarded a contract by the @USArmy, establishing an enterprise-wide partnership with Army Materiel Command for rapid engineering, qualification, and component production.
This is the first partnership of its kind, designed to increase readiness for a priority missile system by re-engineering and improving manufacturability of critical components and subsystems.
We're grateful for the Army’s trust, urgency, and leadership, and look forward to re-engineering American industry together.
Introducing Prime Inference:
We've served trillions of tokens for RL and dedicated customer deployments
To own your intelligence, you need to own your inference
Unpacking our inference stack
Great day to deliver shareholder value :)
Use Factory to automate the low-leverage work and building becomes so much more fun.
And the auto-model router means I don't need to remember which of the 10 models that came out this week is best.
Every job i’ve gotten in tech has been through X and I’ve always wanted a way to track/refer my network on here.
Excited about @cosign and what @david__booth@eriktorenberg and co are building.
Check out the companies I think you should join: https://t.co/vH8m6MsZeE
This is the single biggest thing preventing AI from being procured at enterprises, anyone who's selling to enterprises know that VPCs are the bare minimum
The need for security and optionality on-prem will only accelerate
Let the People (and Enterprises) Build Their Own Software Factories
Introducing Factory Private, a new deployment option that lets organizations run Factory in their own VPCs, on-premises environments, or air-gapped networks.
Announcing: Railway Sandboxes
Spin up thousands of VMs right next to your infra on Railway
Run, checkpoint, and fork and let your agents (and code) run
Seeing a lot of talk around "software factories" lately but it's clear that the world is just converging around @FactoryAI:
- sovereignty (model choice, on-prem VPC, local compute, etc.) matters more than ever
- tokenmaxxing is over, enterprises are now value-maxxing
- recursively improving "factories" built around a company's stack and context
- built for enterprises but also extremely self-serve friendly for developers on whatever surface they prefer but more importantly, agents
Absolutely insane traction and progress by a truly world class team, much more to come...
Congrats @matanSF@EnoReyes@francesca_lab@FactoryAI team
We have raised $200M at a $5B valuation to scale self-improving software development in the enterprise.
@FactoryAI has grown to serve hundreds of thousands of developers at companies including RBC, Adobe, Nvidia, T-Mobile, and Palo Alto Networks.
We will use this capital to accelerate our investments in research, product, and global go-to-market.
Here's a glimpse behind the curtain at Neion Bio.
In biotech, we often take manufacturing for granted but it is fundamental to innovation. "Those serious about software should make their own hardware." The same is true in biology.
The manufacturing of life-saving biopharma medicines has been stagnant for decades. Legacy technologies that rely on a single type of cell reached diminishing returns in the late 2000s. In order to squeeze out more we relocated these factories in areas with lower costs ex-US.
Spending billions to rebuild this infrastructure domestically using largely the same legacy technologies is fighting a losing battle. Sure there may be an incremental improvement here and there but these facilities will be uncompetitive as soon as they go live (if they ever go live).
We now have the ability to efficiently and accurately reprogram complex biological systems, so why are we restricting ourselves to the small sliver of biology that happened to work 50 years ago?
Thanks @teleodaniel and @EricDai_BioE for helping tell our story.
We bought https://t.co/4WFUJAf1Cc.
Now we're building the best one.
Our customers buy quadrillions of tokens every month through Ramp, and we've run our own AI on this router for 3 years to keep costs down.
Today it's yours at https://t.co/4WFUJAf1Cc
Introducing Agent Effectiveness.
Measure Factory usage across cycle time, work priorities, and shipped artifacts, so you can actually see what your AI spend produces.
Security-sensitive teams should not have to move source code, context, or execution outside their environment to operate their software factory.
Factory runs on @nvidia DGX Spark with NVIDIA Nemotron 3.5 Lightning, giving teams a local path to investigate issues, modify code, run tests, and prepare changes for review.
For on-premises and air-gapped deployments.
Introducing Prime Agent:
A self-improving RLM harness for coding and long-running autonomous tasks.
Designed to be both token-efficient and expressive through programmatic tool calling, context as a variable, multi-agent messaging, and a self-modifiable harness state.