Touchcast

Touchcast is the fastest, safest most cost-effective way to start your Generative AI journey.

[Touchcast @Touchcast]

💡 Imagine scaling AI faster, smarter—and at half the cost! 💡

Touchcast is making it happen. Slash your LLM costs by 50% with response times 100x faster🚀

It’s not just savings, it’s about unlocking new possibilities for your business.

Discover more: https://t.co/daadcAfCcp

[Touchcast @Touchcast]

@svpino Thanks for the great shoutout! We’re excited to see what the community can achieve with CogCache!🚀 #AI #LLM #TechInnovation

[Touchcast @Touchcast]

𝗠𝗮𝘅𝗶𝗺𝗶𝘇𝗲 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆, 𝗠𝗶𝗻𝗶𝗺𝗶𝘇𝗲 𝗖𝗼𝘀𝘁𝘀🚀

With CogCache, repeated or similar AI prompts fetch cached responses - meaning no extra tokens consumed and big savings on your OpenAI usage.

Watch the video and get started>>> https://t.co/B5GmwEF4mX

[Touchcast @Touchcast]

From Reactive to Proactive: Agentic AI & the Enterprise of Tomorrow!

We caught up with Touchcast CEO Edo Segal to dive into Agentic AI—AI that acts independently, adapts, and manages tasks proactively.

👉Check out the full conversation on our LinkedIn>>>https://t.co/8pGl5WNMGB

[Touchcast @Touchcast]

Welcome to the Future of AI🔮

Touchcast’s Agentic Pipelines as a Service (APAS) is redefining how we solve complex tasks by orchestrating specialized agents beyond traditional LLMs. Smarter, scalable, and more cost-efficient.

Learn more in our blog: https://t.co/gBKawuCgvV

[Touchcast @Touchcast]

𝗔𝗜 𝗦𝗽𝗲𝗲𝗱, 𝗥𝗲𝗱𝗲𝗳𝗶𝗻𝗲𝗱 𝗳𝗼𝗿 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲𝘀🚀

CogCache delivers 50% cost savings and 100x faster performance, empowering AI leaders to drive innovation and stay ahead.

Join the #AI revolution with CogCache:

🔗 https://t.co/mlMuaMA2kA
#AIRevolution

[Touchcast @Touchcast]

🚀Say hello to TM1: Touchcast's next-gen AI metamodel!
It outperforms GPT-4o with a 62 on AlpacaEval 2.0. Plus, it’s 33x more cost-efficient.

Advanced AI in a single API call? Yes, please.

Now in preview!
🔗https://t.co/2ZabcgOKrq

#AI #Innovation #TM1 #tech

[Touchcast @Touchcast]

📈As LLM consumption grows (blue line), CogCache yield (purple) increases, resulting in lower load on LLM calls (red) and consequently materially lower cost of operations (green).

Learn more here>>>https://t.co/zkG9jAzzhc

#AI #Tech #CostEfficiency #DataScience

[Touchcast @Touchcast]

Enterprise AI infrastructure that delivers🚀

Up to 50% Cost Reduction | Up to 100x Faster Performance | Unlimited Access to the Latest LLMs

Get started for free>>>https://t.co/zkG9jAz1rE

#AI #Innovation #Technology #Efficiency

[Touchcast @Touchcast]

Sam Altman recently warned that "There’s no way to get [sufficient power for AI data centers] without a breakthrough." Enter Cognitive Caching - a new approach to GenAI that can cut LLM costs but put to 50%. Learn more at https://t.co/WkGwZ8Mqsv

[Touchcast @Touchcast]

Missed our announcement at Build '24? We're solving the #1 bottleneck in generative AI adoption: the shortage of affordable, high-performance compute infrastructure.

👀 Watch to discover how you can get access to the latest AI models at the lowest cost and best performance.

[Touchcast @Touchcast]

Curious? Explore more at https://t.co/mlMuaMzuv2. #AI #TechInnovation #CognitiveCaching #SustainableAI

[Touchcast @Touchcast]

7/ With Cognitive Caching, businesses can achieve up to 100x performance boosts while cutting operational costs, making AI more accessible and sustainable. 🌱

[Touchcast @Touchcast]

6/ This new approach can reduce LLM usage by up to 50%, resulting in significant cost savings and improved processing speeds. 📉💨

[Touchcast @Touchcast]

5/ Cognitive Caching addresses this issue by intelligently routing and caching AI inference tasks, cutting down on redundant computations and lowering energy consumption. 🚀

[Touchcast @Touchcast]

4/ With 20% of inference operations wasted due to repetitive LLM calls, there's a significant need to reduce inefficiencies and improve resource utilization. 🔄

[Touchcast @Touchcast]

3/ Data center power demand is projected to roughly double from 2024 to 2028 📈

[Touchcast @Touchcast]

2/ The scarcity of affordable, high-performance computational infrastructure is a major barrier, with persistent 6-8 month lead times for GPUs and memory supply constraints. ⏳

[Touchcast @Touchcast]

1/ The growing demand for AI applications is pushing data centers to their limits. By 2035, data centers could account for 7.2% of global power demand, up from 1.5% in 2023. ⚡️

[Touchcast @Touchcast]

The generative AI market is set to explode to $110B by 2030 (42% CAGR). But a critical compute bottleneck stands in the way. Cognitive Caching is the breakthrough solution. 🧵