Sergey Arkhangelskiy — Robotics
Positronic Robotics operates a lab for standardized real-robot testing and benchmarking of AI models to accelerate physical AI development.
top of page
Recent Posts
See AllRuns real-robot tests in a lab to benchmark and compare AI models for robotics under standardized conditions.
Positronic runs models on real robots in its lab to benchmark and compare robot AI performance under standardized conditions.
Builds a lab platform for standardized real-world testing and benchmarking of robot AI models.
Sergey Arkhangelskiy — Robotics
Runs real-robot tests in a lab to benchmark and compare AI models for robotics under standardized conditions.
Sergey Arkhangelskiy — Robotics
Positronic runs models on real robots in its lab to benchmark and compare robot AI performance under standardized conditions.
The Five AI Tools Startup Founders Actually Use Daily in 2026
Forget enterprise marketing hype. The lean AI stack of Claude, Cursor, Perplexity, Granola, and Clay is what high-performing founders actually use daily.
Google Just Automated the Minimum Viable Product
Google's new AI Studio Build agent allows founders to generate and customize app interfaces instantly, lowering the technical barrier to zero.
Sergey Arkhangelskiy — Robotics
Positronic Robotics operates a lab for standardized real-robot testing and benchmarking of AI models to accelerate physical AI development.
Ten Asian AI Founders Building Products the West Has Ignored
While Silicon Valley chases generalized artificial intelligence, Asian founders are quietly scaling highly profitable, deeply embedded AI products that the West cannot yet conceptualize.
Why VCs Placed a $255 Million Bet on Armadin
Armadin's massive $255.5 million Series B proves that venture capital is consolidating around a few heavily funded AI breakout winners.
The Noise-Based Math Protecting Secrets From Quantum Hacks
As quantum computing advances, the World Economic Forum is spotlighting lattice-based cryptography as the multi-billion-dollar shield for global data.
Sergey Arkhangelskiy — Robotics
Builds a lab platform for standardized real-world testing and benchmarking of robot AI models.
The Grid Is Flooded With Solar. Now We Need the Code.
A record-breaking wave of solar and battery installations is hitting the US grid, opening a massive software frontier for energy orchestration startups.
Robots Are Swapping Car Plants for Biotech Labs
As Detroit cools its automated heels, a quiet surge in collaborative robots and life science deployments is reshaping the robotics landscape.
Claire van Enk — AgriTech
Tech-enabled platform aggregating smallholder output and matching surplus produce with institutional B2B demand to cut food loss across sub-Saharan Africa.
The Great Corporate RTO Bluff Has Failed
Corporate America ordered everyone back to the office, but the data shows workers simply ignored the memo, handing startups a massive hiring edge.
The Dangerous Mirage of Venture Capital's $392B Record
North American funding hit a historic $392 billion in H1 2026, but a massive AI capital divide is leaving everyone else in the cold.
The Myth of the Single AI Superpower Is Dead
The simultaneous launch of Grok 4.7, Atria Dawn, and Kimi K2.8 proves Silicon Valley no longer holds a monopoly on frontier artificial intelligence.
Sander Sebastian Agur — Robotics
Building robotics solutions, raised ~$4.3M pre-seed led by food_labs and PROTOTYPE with Enterprise Estonia support.
Lenny Rachitsky — Startups
Lenny Rachitsky posted Elena Verna's quote calling AI "average intelligence" yet more reliable than some full teams in marketing, engineering, and design.
Pedro Piacenza — Robotics
Building dexterous robot hands for manufacturing and general-purpose robots.
Parmita — DeepTech
Parmita said Precigenetics must predict drug adverse effects pre-human to derisk trials and enable real miracles.
Robert Brighton — DeepTech
Building spatial data infrastructure network for Physical AI, autonomous machines and the machine economy.
Upcoming Events
- Thu, Oct 01
- Tue, Oct 06
- Wed, Oct 07
- Wed, Oct 07
- Wed, Oct 07
- Wed, Oct 07
- Wed, Oct 07
- Wed, Oct 07
- Wed, Oct 21
- Wed, Oct 21
- Mon, Oct 26
- Mon, Oct 26
- Mon, Oct 26
- Thu, Oct 29
- Mon, Nov 02
- Tue, Nov 03
- Wed, Nov 04
- Wed, Nov 04
bottom of page