Partner at @SmartGateVC. Investing early stage in physical AI/robotics, neurotech/BCIs, cybersecurity.
Los Angeles
Joined July 2017
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Ashot Arzumanyan retweeted
Mk1.5 allows developers to build any embodied agent without training. Watch Mk1.5 control a quadruped to navigate a room, find the router in a server room, and identify the root cause of the issue.
Ashot Arzumanyan retweeted
Today we're releasing Mk1.5: a new intelligence layer for embodied agents.
It flies drones, controls quadrupeds, powers smart glasses, tracks objects, searches the web, reasons visually, and dispatches its own sub-agents.
One model, no platform-specific retraining. 🧵
Ashot Arzumanyan retweeted
As AI reshapes the global technology industry, Armenia’s traditional advantage in software development is under threat. Ashot Arzumanyan argues that the country must reinvent its tech ecosystem around physical AI to remain competitive.
evnreport.com/creative-tech/…
Ashot Arzumanyan retweeted
Today we're releasing Isaac 0.5: 36B dynamic MoE, open weight 🤗 embodied foundation model.
Isaac combines multimodal video understanding, embodied reasoning and robot control into a single, sparse backbone.
Ashot Arzumanyan retweeted
Netris is the #27 fastest-growing private software company in the US.
Thank you to @Nasdaq for showcasing that milestone in Times Square.
The ranking reflects a record-breaking year: in the last 12 months, we hit 800% ARR growth and added 35+ live deployments (and growing) at many of the largest AI clouds in the world.
A major driver of that growth is the AI buildout. GPU clouds and AI factories are going live everywhere, and deploying the GPUs is only part of the job. Turning a GPU cluster into a cloud business takes NAAM — Network Automation, Abstraction, and Multi-Tenancy — the category Netris built, and the reason operators keep choosing it.
#Inc5000 #AIInfrastructure #NAAM
Ashot Arzumanyan retweeted
Our next model takes the foundation we have built for frontier perception and visual reasoning and extends into control. Open source model coming soon.
Ashot Arzumanyan retweeted
Perception and robotics both run on real-time budgets, and inference speed is usually bounded by model scale.
For our next series of models, we derived new architectures specifically tuned for the physical world. From these speeds alone, you'd never guess the model size.
We've explored many ways to improve multimodal architectures and few show stronger gains than leveraging redundancy. Images, videos, audio are inherently redundant and models don't account for this.
Our next model is built on this, a result from an early checkpoint that got me excited - quality continues to increase while being significantly more efficient. Can't wait to share this soon.
Ashot Arzumanyan retweeted
ModelFront is featured in @Gartner_inc's 2026 Hype Cycle for Natural Language and Unstructured Content Technologies!
ModelFront is AI to check and fix AI translations or trigger human intervention.
Large translation buyers use ModelFront to scale translation while keeping human quality.
Gartner first covered ModelFront in 2020 when ModelFront created the quality estimation category.
Read more at modelfront.com/news/gartner-… modelfront.com/news/gartner-…
Ashot Arzumanyan retweeted
It is clear open source models and harnesses are having a moment. There's a few factors at work
1/ It is now obvious that you can catch up to near-SOTA performance and do so with a clear training lineage. See:@thinkymachines Inkling launch today.
2/ There are several well-funded, talented teams building open weight models now in the US and abroad. Along with the explosing of other near SOTA models (Grok/Cursor, Muse Spark), it is clear we are going to have a diverse ecosystem of models atleast on coding and agentic use.
3/ Organizations are increasingly looking for control over how their data is used and are willing to trade off some access to frontier level tokens for this control. Organizations and countries are increasingly nervous about the frontier labs potentially competing with them down the road and don't want their data to enable a future competitor.
4/ Open source is a slider: you could bring your own open harness, your evals, your business context and are free to pick and choose your model of choice.
5/ Companies have now actively shifted from "how do we get our people to use tokens" to being uncomfortable with their token cost ballooning without a clear line to revenue.
6/ Geo-politically, countries will be weighing open weight models as a way to get frontier-level tokens inside controlled environments that may not be otherwise possible.
All of this leads to more choice for all of us !
Ashot Arzumanyan retweeted
1/ Today we're shipping Perceptron Agentic Detection. Describe what you want in natural language, or show one example crop, and an agent grounds it in the image. No fine-tuning, no fixed class list.
Ashot Arzumanyan retweeted
Coding agents that actually get better the more your team uses them.
Introducing Hivemind: continual learning for AI coding agents.
Hivemind turns the traces from every agent your team runs (Claude Code, Codex, Cursor, Hermes, OpenClaw, Pi) into reusable skills, then pushes those skills across all of them. All on your cloud storage.
Now with SkillOpt built in, your skills get trained: +19.1 points of accuracy in Claude Code, +24.8 in Codex, best or tied on all 52 setups tested.
Open source, one line install.
Ashot Arzumanyan retweeted
Today at @nvidia GTC Taipei, Netris announced the expansion of Netris NAAM (Network Automation, Abstraction, and Multi-Tenancy) on NVIDIA DSX Air across APAC.
APAC is building AI infrastructure at an unprecedented pace. As leading neoclouds, NVIDIA Cloud Partners, AI factories, and sovereign AI clouds are coming online across Japan, Korea, Taiwan, Australia, India, and Southeast Asia, they are turning to Netris as the GPU networking and multi-tenancy foundation for their AI infrastructure.
Netris NAAM and NVIDIA DSX Air are empowering this build-out by enabling AI operators to design, validate, and test their full network stack before hardware ships, allowing them to go live the moment GPUs power on.
Netris’ APAC customer base is growing fast.
@HonHai_Foxconn-backed Visionbay.ai, the largest GPU cluster and AI supercomputing center in Taiwan, and @firmus_ai, Australia's largest renewable-powered sovereign AI infrastructure, have both standardized on Netris NAAM as the network automation foundation for their AI clouds.
Netris NAAM is the most widely deployed AI network automation and multi-tenancy platform on the market. In the last 12 months, Netris achieved 800% ARR growth, captured 12% of the global neocloud market, and reached 25+ live deployments at many of the largest AI clouds in the world.
📍If you're attending GTC Taipei at COMPUTEX 2026, visit Netris at Booth #N0008, TaiNEX 1 for a live demo.
🔗 Read the Netris and NVIDIA DSX Air APAC expansion press release: netris.io/blog/netris-expand…
Ashot Arzumanyan retweeted
I'm excited to finally release the fruit of the research we've been doing at Perceptron for the last 16 months: Perceptron Mk1. We've been developing multi-modal recipes from the ground up to build models that perform best in the physical world, from video understanding to embodied reasoning to robotics. Mk1 is our scaled up recipe.
Ashot Arzumanyan retweeted
"We don’t want Armenians to be able to serve in Congress.” Randy Fine.
Not a smart move: the Armenian diaspora managed to be loved in all places: Beirut, Aleppo, Palestine, California, NJ, Venice ( San Lazaro), Marseille.
Fine panicked into generalizing his fight ag. Armenians.
Ashot Arzumanyan retweeted
If anyone is interested in up to 500 B300s at a very reasonable price, DM me.
Ashot Arzumanyan retweeted
The new 2026 @slatornews Index is out!
The tech category features ModelFront as the leader in quality prediction and automatic post-editing, alongside @DeepLcom in traditional translation AI, and @krispHQ in voice.
Large buyers use ModelFront to scale translation while keeping human quality. Over 1B words of Fortune 500 content were processed with ModelFront in 2025.
Read more at modelfront.com/news/slator-i…
Ashot Arzumanyan retweeted
We plugged our vision agents (Isaac 0.2) into OpenClaw, turning vision into action.
Neurotech is getting hot. Our portfolio company @NeurosoftBio recently announced partnership with @ScienceCorp_: science.xyz/news/neurosoft-p…
We’ve closed a $230 million Series C financing with participation from @khoslaventures, @lightspeedvp, @ycombinator, IQT, and @QuietCapital, all pre-existing investors in Science, among others.
Ashot Arzumanyan retweeted
The best conversations at @nvidia GTC won't happen in a session hall.
Invite-only cocktail night for Neocloud execs, NCP leaders, sovereign AI operators, AI factory teams.
No stage. No slides. Just infrastructure leaders comparing notes.
Wed March 18 | 7-10pm | Downtown San Jose
RSVP: luma.com/gtcsj-cocktail-part…
#NVIDIAGTC
