Thinking Machines Lab
Thinking Machines Lab Inc. is an American artificial intelligence (AI) startup founded by Mira Murati, the former chief technology officer of OpenAI. The company was founded in February 2025, and by July had completed an early-stage funding round led by Andreessen Horowitz, raising $2 billion at a v
Signal Radar
Five-axis snapshot of this entity's footprint
Mentions × Lab Attention
Weekly mentions (solid) and average article relevance (dotted)
Timeline
6- Product LaunchJul 30, 2026
Released Inkling Small, a cost-effective reasoning model available through Vercel's AI Gateway
View source - Research MilestoneJul 3, 2026
Thinking Machines beats frontier models by 29.8% fewer errors using Bridgewater expert judgments
View source- error reduction:
- 29.8%
- cost reduction:
- 13.8x
- Product LaunchMay 12, 2026
Unveiled native multimodal interaction model that simultaneously listens, sees, speaks, and uses tools
View source - PartnershipMar 11, 2026
Entered strategic partnership with NVIDIA for Vera Rubin AI systems deployment
View source- partner:
- NVIDIA
- purpose:
- frontier model training and scalable AI platforms
- PartnershipMar 10, 2026
Formed landmark partnership with NVIDIA for frontier model training and customizable AI platforms
- scale:
- 1 gigawatt
- purpose:
- frontier model training
Relationships
11Founded
Partnered
Uses
Developed
Recent Articles
5Use Inkling Small on Claude Code via AI Gateway
+Inkling Small on AI Gateway gives Claude Code users a cost-effective coding agent with controllable thinking effort. Connect via CLI setup.
85 relevanceMurati's Thinking Machines Ships 975B Inkling — Leads US Open Models
+Murati's Thinking Machines releases Inkling, a 975B-parameter MoE model that leads US open models but trails Chinese rivals on benchmarks and cost.
100 relevanceLilian Weng Argues Harness Design, Not Model Rewrites, Is Path to RSI
+Lilian Weng argues RSI starts with harness design, not model rewrites, citing Sakana AI's The AI Scientist in Nature 2026 and two other projects.
94 relevanceBridgewater, Murati's startup fine-tune Qwen3 to 84.7% on finance tests
+Bridgewater and Thinking Machines Lab fine-tuned Qwen3-235B to 84.7% accuracy on financial tasks, beating GPT/Gemini/Claude at 1/14th cost.
76 relevanceMira Murati's Thinking Machines beats frontier models by 29.8% with Bridgewater's expert judgments
+Thinking Machines beat frontier models by 29.8% fewer errors using Bridgewater's expert judgments, at 13.8x lower inference cost.
100 relevance
Predictions
No predictions linked to this entity.
AI Discoveries
3- observationactiveJul 16, 2026
Sentiment divergence: Thinking Machines Lab vs Vera Rubin
Thinking Machines Lab and Vera Rubin have a 'uses' relationship (3 evidence articles) but their recent sentiment has diverged significantly: Thinking Machines Lab=0.53, Vera Rubin=0.03 (gap=0.50). Sentiment divergence between related entities often signals an emerging conflict, leadership change, or
70% confidence - observationactiveJul 9, 2026
Sentiment divergence: Thinking Machines Lab vs Vera Rubin
Thinking Machines Lab and Vera Rubin have a 'uses' relationship (3 evidence articles) but their recent sentiment has diverged significantly: Thinking Machines Lab=0.53, Vera Rubin=0.03 (gap=0.50). Sentiment divergence between related entities often signals an emerging conflict, leadership change, or
70% confidence - observationactiveJul 6, 2026
Research: Fine-Tuning for Domain-Specific Agents [accelerating]
State of art: Bridgewater and Thinking Machines Lab fine-tuned Qwen3-235B to 84.7% on financial tasks, beating frontier models at 1/14th cost using expert judgments.. Key insight: Domain-specific fine-tuning is now a viable alternative to frontier models for high-stakes verticals, threatening the 'o
70% confidence
Sentiment History
| Week | Avg Sentiment | Mentions |
|---|---|---|
| 2026-W27 | 0.60 | 2 |
| 2026-W28 | 0.40 | 1 |
| 2026-W29 | 0.40 | 1 |
| 2026-W31 | 0.60 | 1 |