Rasa (@rasa_hq) 's Twitter Profile
Rasa

@rasa_hq

Rasa is a generative conversational AI platform that combines pro-code and low-code assistant development for customizability, collaboration, and maximum TTV

ID: 2839825685

linkhttps://rasa.com calendar_today21-10-2014 12:50:32

2,2K Tweet

7,7K Followers

1,1K Following

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Unlock full control over your #ConversationalAI with Rasa, now available on the Polyhedra Marketplace. Build, deploy, and scale #AI agents with transparency, security, and flexibility across voice, chat, and mobile. Explore the possibilities → hubs.ly/Q03tCP2V0

Unlock full control over your #ConversationalAI with Rasa, now available on the Polyhedra Marketplace. Build, deploy, and scale #AI agents with transparency, security, and flexibility across voice, chat, and mobile.

Explore the possibilities → hubs.ly/Q03tCP2V0
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Most #voice #AI projects never make it past a flashy demo. Latency spikes, models misfire, recovery paths don’t exist. So we created a resource on how to architect conversations that perform reliably under pressure, not what features to buy. Read now 👉 hubs.ly/Q03tPwTf0

Most #voice #AI projects never make it past a flashy demo. Latency spikes, models misfire, recovery paths don’t exist.

So we created a resource on how to architect conversations that perform reliably under pressure, not what features to buy.

Read now 👉 hubs.ly/Q03tPwTf0
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Learning shapes how we work at Rasa. From personal learning budgets and global workshops to DEI trainings and leadership coaching, we’re intentional about helping our team grow with purpose. We shared the full story on our blog: hubs.ly/Q03vbpZP0

Learning shapes how we work at Rasa. From personal learning budgets and global workshops to DEI trainings and leadership coaching, we’re intentional about helping our team grow with purpose.

We shared the full story on our blog: hubs.ly/Q03vbpZP0
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Check out the new Insurance Starter Pack with pre-built flows for claim submission, status checks, policy FAQs, and more, built for home and auto use cases and easy to extend for others. 👉 Download the starter pack: hubs.ly/Q03vNF_P0

Check out the new Insurance Starter Pack with pre-built flows for claim submission, status checks, policy FAQs, and more, built for home and auto use cases and easy to extend for others.

👉 Download the starter pack: hubs.ly/Q03vNF_P0
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Reminder - One week to go for Rasa's #ConversationalAI meetup in London! The response to this event has been incredible, & we’ve reached full capacity. If you joined the waiting list, thank you! We'll notify you if space opens up. Event details: hubs.ly/Q03wbVl20

Reminder - One week to go for Rasa's #ConversationalAI meetup in London! The response to this event has been incredible, & we’ve reached full capacity. If you joined the waiting list, thank you! We'll notify you if space opens up. 

 Event details: hubs.ly/Q03wbVl20
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What does a real-world AI agent look like in #Healthcare? Muhammed Emin Tetik built one with Rasa—from patient records to X-ray analysis—and placed third in the Rasa Agent Building Challenge. Read his story: hubs.ly/Q03wsTFG0

What does a real-world AI agent look like in #Healthcare?

Muhammed Emin Tetik built one with Rasa—from patient records to X-ray analysis—and placed third in the Rasa Agent Building Challenge.

Read his story: hubs.ly/Q03wsTFG0
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#AI in #Banking isn’t new. But assistants still fail under pressure by struggling with compliance, escalating simple queries, or failing to adapt across channels. See how teams are designing AI #Agents that hold up in production. 📘 Read the ebook: hubs.ly/Q03wGy4t0

#AI in #Banking isn’t new. But assistants still fail under pressure by struggling with compliance, escalating simple queries, or failing to adapt across channels. See how teams are designing AI #Agents that hold up in production.

📘 Read the ebook: hubs.ly/Q03wGy4t0
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Most #telecom bots fail when customers try to complete actual workflows, like pausing a plan mid-conversation or activating roaming while asking about billing. Swisscom rebuilt theirs to handle real task execution: Case Study: How they did it 👉 hubs.ly/Q03ymGPB0

Most #telecom bots fail when customers try to complete actual workflows, like pausing a plan mid-conversation or activating roaming while asking about billing. Swisscom rebuilt theirs to handle real task execution:

Case Study: How they did it 👉 hubs.ly/Q03ymGPB0
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The Summer 2025 release is now live, giving teams sharper control over flows, prompts, privacy, & smoother tools for building production-ready voice experiences. Built to make agents more reliable, responsive, & easier to refine. 👉 Read the full update: hubs.ly/Q03yL0Xp0

The Summer 2025 release is now live, giving teams sharper control over flows, prompts, privacy, & smoother tools for building production-ready voice experiences.

Built to make agents more reliable, responsive, & easier to refine.

👉 Read the full update: hubs.ly/Q03yL0Xp0
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The #Telco reality: A customer starts asking about their data usage, switches to international roaming mid-flow, then circles back to a plan upgrade question. Most assistants break under this complexity. Swisscom handles it seamlessly. Read now: hubs.ly/Q03zyYf90

The #Telco reality: A customer starts asking about their data usage, switches to international roaming mid-flow, then circles back to a plan upgrade question.

Most assistants break under this complexity. Swisscom handles it seamlessly.

Read now: hubs.ly/Q03zyYf90
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Most healthcare bots fail when patients try to complete actual workflows. Providence Health Care rebuilt theirs to handle real patient tasks. Built for healthcare complexity, designed for production reliability. Read now: hubs.ly/Q03DwZJy0

Most healthcare bots fail when patients try to complete actual workflows.
<a href="/Providence_Hlth/">Providence Health Care</a> rebuilt theirs to handle real patient tasks.

Built for healthcare complexity, designed for production reliability.

Read now: hubs.ly/Q03DwZJy0
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eUprava, Serbia's national e-Government platform, wanted to make government services more accessible to citizens. Working with Rasa, eUprava launched conversational AI that covers 60 digital services while maintaining government control and transparency. hubs.ly/Q03FM5XM0

eUprava, Serbia's national e-Government platform, wanted to make government services more accessible to citizens.

Working with Rasa, eUprava launched conversational AI that covers 60 digital services while maintaining government control and transparency.

hubs.ly/Q03FM5XM0
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NEW LIVE EVENT SERIES Struggling with context engineering in your agent orchestration? You're not alone. Join Rasa CTO Alan Nichol and Staff PM Daksh Varshney for a technical deep-dive into MCP implementation. 📅 Thursday, Sept 25 | 11:00 AM ET | hubs.ly/Q03Jgz5y0

NEW LIVE EVENT SERIES
Struggling with context engineering in your agent orchestration? You're not alone. Join Rasa CTO Alan Nichol and Staff PM Daksh Varshney for a technical deep-dive into MCP implementation.

📅 Thursday, Sept 25 | 11:00 AM ET | hubs.ly/Q03Jgz5y0
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AI holds promise, but often falls short because foundational systems aren’t in place. Don't let your conversational AI projects stall or fail. Get actionable guidance on infrastructure, compliance, and team preparedness. 👉 hubs.ly/Q03JgDnx0

AI holds promise, but often falls short because foundational systems aren’t in place. 
Don't let your conversational AI projects stall or fail.

Get actionable guidance on infrastructure, compliance, and team preparedness.

👉 hubs.ly/Q03JgDnx0
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Enterprise teams struggle to prove ROI. Technical teams track accuracy and execs want cost savings. Result: AI projects look like expenses, not investments. 👉 Get the ROI framework: hubs.ly/Q03JwT4p0

Enterprise teams struggle to prove ROI.

Technical teams track accuracy and execs want cost savings.

Result: AI projects look like expenses, not investments.

👉 Get the ROI framework: hubs.ly/Q03JwT4p0
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How do security teams approve AI agents for production? LLM-first setups blur rules + actions, making policies tough to enforce and decisions hard to trace. 👉 White paper: hubs.ly/Q03Llssd0

How do security teams approve AI agents for production?

LLM-first setups blur rules + actions, making policies tough to enforce and decisions hard to trace.

👉 White paper: hubs.ly/Q03Llssd0
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A leading insurer needed AI that could scale across service, sales, and voice. With Rasa CALM, they consolidated logic, and now support 1M+ voice conversations annually. The result: Higher deflection, fewer fallbacks, full control. Read the case study: hubs.ly/Q03MVbrb0

A leading insurer needed AI that could scale across service, sales, and voice.
With Rasa CALM, they consolidated logic, and now support 1M+ voice conversations annually. 

The result: Higher deflection, fewer fallbacks, full control.

Read the case study: hubs.ly/Q03MVbrb0
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"What can this AI agent do—and what can't it do?" Every security team asks this. Most AI can't answer. CALM enables complete traceability with policy enforcement through code, not prompts. 🔐 👉Get the white paper: hubs.ly/Q03Nf6vX0

"What can this AI agent do—and what can't it do?"

Every security team asks this. Most AI can't answer.
CALM enables complete traceability with policy enforcement through code, not prompts. 🔐

👉Get the white paper: hubs.ly/Q03Nf6vX0
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How secure are different AI agent designs? Independent research by Lakera AI tested 2 agents: ❌ Prompt-driven - critical vulnerabilities ✅ Rasa process-guided - attacks contained It’s not about the LLM. It’s the architecture. 🔗 Lakera’s assessment: hubs.ly/Q03Nr25X0

How secure are different AI agent designs?
Independent research by <a href="/LakeraAI/">Lakera AI</a> tested 2 agents:
❌ Prompt-driven - critical vulnerabilities
✅ Rasa process-guided - attacks contained

It’s not about the LLM.
It’s the architecture. 

🔗 Lakera’s assessment: hubs.ly/Q03Nr25X0
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Providence needed AI that could handle patients switching topics mid-conversation. 💬 Their solution: LLMs for conversation + structured flows for execution. ✅ Result: 160K monthly conversations, 59% task completion. 📊 👉Read the full story: hubs.ly/Q03NV61h0

Providence needed AI that could handle patients switching topics mid-conversation. 💬

Their solution: LLMs for conversation + structured flows for execution. ✅
Result: 160K monthly conversations, 59% task completion. 📊

👉Read the full story: hubs.ly/Q03NV61h0