AI Intelligence for Builders and Investors
Track AI companies, startups, funding, and model releases in one place. Stay ahead with signal-first updates and personalized watchlists.
Signals today
5
Funding tracked
30
Models watched
5
AI terms
126+
Company Spotlight
NVIDIA
Survey Reveals AI Advances in Telecom: Networks and Automation in Driver’s Seat as Return on Investment Climbs
Meta
Llama 3, PyTorch, AR/VR
“No technology has me dreaming bigger than AI”
Microsoft
A conversation with Kevin Scott: What’s next in AI
OpenAI
GPT-4, ChatGPT, DALL-E
Anthropic
Claude 3.5, Constitutional AI
Latest Signals
Qwen3.5-397B-A17B momentum +7%
Qwen • Qwen3.5-397B-A17B
MiniMax-M2.5 momentum +7%
MiniMaxAI • MiniMax-M2.5
GLM-5 momentum +8%
zai-org • GLM-5
Nanbeige4.1-3B momentum +6%
Nanbeige • Nanbeige4.1-3B
Kiran Mazumdar-Shaw sees AI-biology convergence transforming healthcare
Business Standard • AI News
The Future of Transportation: Electric Vehicles and the Evolution of Motor Maintenance
Daily News • AI News
AI startup CEOs laud India’s supportive environment after roundtable with PM Modi
The Munsif Daily • Business
We’ve been warned, but what will prompt humans into action?
Heraldlive • AI News
Your Watchlist
Sign in to build your personalized watchlist and get entity-level alerts.
Sign in to startDaily Intelligence Brief
Get the top AI market and product signals in one concise brief.
Get AI intelligence briefs
Receive high-signal updates on companies, funding, and models.
Funding Radar
View allxAI
$6BSeries C • Foundation Models
Databricks
$10BSeries J • AI Infrastructure
Perplexity
$500MSeries B • AI Applications
Physical Intelligence
$400MSeries A • Robotics
AI Education
Keep sharpening fundamentals with 15 lessons and 126+ terms.
Term of the day: World Model
AI Stock Pulse
Meta
Amazon
NVIDIA
Microsoft
Market data delayed. For informational purposes only.
Latest Research
View allOpenEarthAgent: A Unified Framework for Tool-Augmented Geospatial Agents
Recent progress in multimodal reasoning has enabled agents that can interpret imagery, connect it with language, and perform structured analytical tasks. Extending such capabilities to the remote sensing domain remains challenging, as models must reason over spatial scale, geographic structures, and...
arXivSink-Aware Pruning for Diffusion Language Models
Diffusion Language Models (DLMs) incur high inference cost due to iterative denoising, motivating efficient pruning. Existing pruning heuristics largely inherited from autoregressive (AR) LLMs, typically preserve attention sink tokens because AR sinks serve as stable global anchors. We show that thi...