H2LooP is at Embedded World India 2026 @ BIEC Bengaluru from 17 to 19 Nov. Talk to us about edge AI, formal verification, RL and benchmarking. See Hydron verify firmware on real hardware. #embeddedworld

H2LooP attended the India–Japan Defence Industry Forum 2026 in Tokyo. Building domain-specific AI for mission-critical systems, where verification, security, and trust are non-negotiable. #H2LooP #IndiaJapan #DefenceTech

Our paper is accepted at NeurIPS 2026 (VERICODEGEN) 🎉 Key finding: verifier "acceptance" doesn't always mean proof complete , a toolchain change silently broke 442 files in a Verus corpus. 📄 openreview.net/forum?id=Cs2r…

RT @Indiainchile: India and Chile organized a webinar on 8 October 2026 bringing together key stakeholders from both countries’ defence eco…

AI agents write firmware that compiles. Then it meets the board. Made-up registers, missing volatiles, agents that edit the test instead of the code. We sorted 30 of these into a periodic table Reply with the element you have hit most.

Wrapped up first day at @IndiaFOSS! Great conversations, fresh perspectives, and plenty to take back as we think about the role of open source in engineering AI. #IndiaFOSS #OpenSource #H2LooP

H2loop is at @IndiaFOSS today! Come find us and talk to us about what we are building #IndiaFOSS #UnitedbyFOSS

15 years running turnkey aerospace and defense programs. Ground, naval, airborne. National stakes. He joins H2Loop as Chief Growth Architect. His vision: take us from lab to mission. #DefenseTech #SovereignAI #h2loopai

5,907.27 tok/s on one Tesla T4. The winner of Bear the Tokens: Ratan Kokal. An aerospace undergrad at IIT Bombay. Baseline was 3,332. Faster inference on the same GPU means more requests per dollar. He got past it with serving-engine changes and one observation most people will miss. Dhruv used an inferencing plugin. Aaditya applied AWQ quantization. #h2loopai #LLMInference #GPUOptimization #Quantization

Flat‑rate AI coding was a hidden surcharge on Curiosity. Vendors subsidized compute to capture your corrections. Now they are pushing programmatic workflows to expensive API rates. GitHub Copilot switches to usage-based billing on June 1. Anthropic redefined interactive use to block third-party tools. Cloud pricing penalizes complex system engineering. A single autonomous coding session can burn $30. Unpredictable token billing destroys budget forecasting. Running models on-premise converts variable API fees into fixed capital expenses. You own the model. Your compute costs stay flat. #SovereignAI #CloudCosts #VendorLockIn #h2loopai

Hydron is live. AI for embedded engineers. Code grounded in your datasheet, your codebase, and your hardware context. VS Code + terminal. v1, fresh out of beta. A lot works. A lot will get better. Bring your worst MCU. hydron.sh/

Bear the Tokens leaderboard: 5,066 tok/s on a single T4. Qwen2.5-0.5B. 50 concurrent requests. One Colab to enter. Submissions open till 1 June. Final deadline. PS5 + Claude credits for the winners.

Inc42's 30 Startups To Watch, April 2026. H2LooP made the list under AI and semiconductors. Hardware-aware AI for systems engineering. Built for engineers who work with datasheets, not just docs. Inc42's #30StartupsToWatch list, April 2026. H2LooP made it under AI and semiconductors. inc42.com/features/30-startu…

Mid-challenge leaderboard update. #1 Aaditya H V · 5,065.54 tok/s #2 Dhruv Vakharwala · 3,736.51 #3 Sagnik Bhattacharjee · 3,472.96 #4 Daksh · 3,392.44 Baseline · 3,332 +52% at the top. Still running.