Contextual AI (@ContextualAI) / X

Contextual AI

259 posts

Contextual AI

@ContextualAI

Expert AI for advanced industries

Bay Area

contextual.ai/blog/introduci…

Joined March 2023

Following

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Contextual AI
@ContextualAI
Jan 27
Announcing Agent Composer: AI that works when it actually IS rocket science. Technical teams can now automate the routine (but complex) tasks that used to take hours every week—root cause analysis, production planning, test code generation— and reduce them down to minutes, so
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Contextual AI
@ContextualAI
Apr 1
Stop spending days manually root-causing infotainment failures across a dozen subsystems and three different teams. Generic AI breaks here — logs are too large, too fragmented, too system-specific. Our multi-agent workflow processes multiple subsystem logs simultaneously and
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Contextual AI reposted
Abdallah Bashir
@abdallah197_
Mar 5
Search agents, whether they're powering deep research, or multi-step QA over a private corpus, spend most of their time and compute in the research loop: query, search, reason, repeat. We wanted to make that loop faster and more accurate. So we optimized two things jointly: the
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Contextual AI
@ContextualAI
Mar 5
Stop spending 8+ hours manually root-causing semiconductor device failures. Generic AI breaks here — logs are too large, error codes too device-specific. Our agentic workflow processes multiple logs simultaneously and delivers a complete root cause report in 20 min or less — no
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Contextual AI
@ContextualAI
Feb 6
Excited to share our latest breakthrough: ⚡BlitzRank! This innovative LLM reranker optimizes token usage with tournament graphs, delivering 25-40% efficiency gains while maintaining top-tier quality across benchmarks. Huge props to @sheshanshag and @Thienhn97 for this
Sheshansh Agrawal
@sheshanshag
Feb 6
**New research: Introducing ⚡BlitzRank** Current LLM rerankers waste tokens on information they already have. If A > B and B > C, you already know A > C, existing methods don’t track this. BlitzRank fixes this. It uses tournament graphs to extract maximal information from each
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Contextual AI reposted
Sheshansh Agrawal
@sheshanshag
Feb 6
**New research: Introducing ⚡BlitzRank** Current LLM rerankers waste tokens on information they already have. If A > B and B > C, you already know A > C, existing methods don’t track this. BlitzRank fixes this. It uses tournament graphs to extract maximal information from each
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Contextual AI
@ContextualAI
Feb 5
❌ Stop manually searching semiconductor datasheets, support logs, and device files to troubleshoot customer issues. Use context-aware AI that automates research in minutes, not hours—investigating vague questions, synthesizing answers, and verifying sources with bounding box
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Contextual AI reposted
anshuman
@athleticKoder
Jan 28
Contextual AI just killed n8n.
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Contextual AI
@ContextualAI
Jan 27
Replying to @ContextualAI
Here are some examples of cool use cases we've built with our customers: - An advanced manufacturer reduced root-cause analysis from 8 hours to 20 minutes by automating sensor data parsing and log correlation. - A global strategy consulting firm reduced manual research from
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Contextual AI
@ContextualAI
Jan 27
Check out the link our bio to learn more about the launch 🚀
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Contextual AI reposted
Nina Lopatina
@NinaLopatina
Jan 8
Last month, I dove deep with @swyx on @latentspacepod about the state of context engineering, and scaling it as a full-stack discipline with benchmarks, tooling, and enterprise deployments. Hosted by @LaudeInstitute on the rooftop of the Hard Rock Cafe during @NeurIPSConf (my
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Contextual AI reposted
Google Cloud Partners
@gcloudpartners
Dec 21, 2025
🛠️ @ContextualAI is proving what’s possible when you combine open models with highly scalable infrastructure. By fine-tuning Llama 3.1 70B on Google Cloud, they’ve built a "grounded" language model that reduces hallucinations and automates complex workflows. See how they did it
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Contextual AI
@ContextualAI
Dec 18, 2025
We are excited to share several new SOTA integrations with @trychroma: - Parser, to load your unstructured documents directly into Chroma - Reranker, to optimize your retrieved context within your context window - LMUnit, natural language unit tests to evaluate your Agent, LLM,
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Contextual AI reposted
b/acc, context platform engineer
@AccBalanced
Dec 8, 2025
“Garbage in, information out, is what we really want from AI” @douwekiela of @ContextualAI #FortuneBrainstormAI
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