# Robotics & physical AI

Last updated: 2026-11-05T00:10:27+00:00

[Abdul Al Ali](https://abdulalali.com/), Venture Investor at Decasonic, Chicago

Deployment is the bottleneck. I back the teams closing the gap from pilot to scale, and the benchmarks that show what actually works in the real world.

Building at the frontier? [Message me on X](https://x.com/messages/compose?recipient_id=1848791076439560192)

## Feeds

- there are parallels that we observe in software AI that will continue to emerge in robotics. [Nov 4, 2026](https://x.com/abdulalali/status/2118043529117151599)
- we @decasonic are actively aiming to partner with founders in accelerating the deployment of physical AI at scale. [Nov 2, 2026](https://x.com/abdulalali/status/2117273701649461381)
- increasingly, there's a clear-trend of companies emerging with the dedicated goal of selling real world deployment data (logs and traces - "data") to frontier labs. [Oct 23, 2026](https://x.com/abdulalali/status/2113725398332875063)
- the physical AI benchmarks and evals market will note a similar trajectory to the software AI benchmarks (from generalized tasks to economic tasks). [Oct 19, 2026](https://x.com/abdulalali/status/2112287634424836306)
- one of the main questions in the advancement of the robotics (and wider physical AI landscape) is whether the existing capital funding the current software digital build out will be able to support the physical one. [Oct 5, 2026](https://x.com/abdulalali/status/2106939572676329794)

## Investing at Decasonic

- [Robocurve](https://robocurve.org)
  The trusted, neutral layer for physical AI benchmarks at scale.
- [Shiraz AI](https://shiraz.ai)
  Robots that learn on the job, starting with manufacturing.
- [PrismaX](https://prismax.ai)
  Robot training data at scale, where humans, robots, and data come together.

## Writing

- [The State of Physical AI](https://archive.abdulalali.com/writing/the-state-of-physical-ai/) · Aug 12, 2026
  Physical AI moves to deployment: data, benchmarks, capital and swarms.
- [The Web3 x Physical AI Market Map](https://archive.abdulalali.com/writing/the-web3-x-physical-ai-market-map/) · Sep 19, 2025
- [Where Value Accrues When Intelligence Is Abundant: Decasonic's Q4 2026 Thesis](https://archive.abdulalali.com/writing/where-value-accrues-when-intelligence-is-abundant-decasonic-q4-2026-thesis/) · Oct 5, 2026
  Value accrues to differentiated experiences, digital and physical.
- [Where We Are Investing](https://archive.abdulalali.com/writing/where-we-are-investing/) · Jul 31, 2026
  Decasonic's request for startups, laying out sectors of interest: AI interfaces and agents, physical AI, AI applications, networks, AI x fintech and consumer AI.

## Market maps

- [Physical AI](https://maps.abdulalali.com/physical-ai-market-map.html) · Sep 2025
  96 projects

## Speaking

- [Robotics livestream with BitRobot, Neuron and Cybernetic Lab](https://x.com/abdulalali/status/2057585992912277828) · May 2026
  Livestream on X

© 2026 Abdul Al Ali

## For agents

- [llms.txt](https://abdulalali.com/llms.txt): the brief for language models (llmstxt.org)
- [llms-full.txt](https://abdulalali.com/llms-full.txt): llms.txt with the home page's words in full
- [index.md](https://abdulalali.com/index.md): the home page in Markdown, also served at https://abdulalali.com/ for Accept: text/markdown
- [physical-ai/index.md](https://abdulalali.com/physical-ai/index.md): the physical-ai page in Markdown
- [agents.md](https://abdulalali.com/agents.md): a prompt to add him to your own agent
- [feed.xml](https://abdulalali.com/feed.xml): an Atom feed of his writing, maps and posts
- [ai-catalog.json](https://abdulalali.com/.well-known/ai-catalog.json): the AI Catalog of these files
- [sitemap.xml](https://abdulalali.com/sitemap.xml)
- In a browser with WebMCP (document.modelContext), the home page registers read-only tools that answer from the same public data it shows: get_profile, list_investments, list_writing, list_market_maps, get_latest_posts.

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