Developer Relations Engineer

Rasa featured in Gartner Reference Architecture for Conversational AI. Posted Feb 11, 2026 The agent conversation has moved fast. Rasa Technologies GmbH went from "can it talk?" to "can it do it?" and now to "can they work together?" Everyone wants the seamless version where multiple agents collaborate like a well-run team. But the moment you put more than one agent in the room, you ask the system to behave like a team under pressure. Agents step on each other, lose context, and take the wrong action with the right confidence. When you add more agents, you multiply the chances of that happening. You do not solve this by polishing prompts forever. You solve it by making decisions up front about how the system runs: how work is directed, how context is carried, what actions are permitted, what is verified, what gets logged, and what triggers a repair or a handoff. In other words, coordination is an architectural problem. That's why Rasa Technologies GmbH is excited to see Rasa featured in Gartner's reference architecture for conversational AI. Not because a Gartner diagram is "the answer." but because it reflects something teams learn the hard way: building customer-facing agents is an architecture problem before it's an interface problem. This recognition also caps off an exceptional year of milestones across customers, product, and the next chapter of AI agents: * Over the past year, Rasa Technologies GmbH has been lucky to earn a lot of trust from teams running customer experience at serious scale to partners who care about getting the architecture right. A meaningful signal of that trust is Rasa named by Accel as one of the Top 100 AI and Cloud Companies to Watch. * Customers like Autodesk, nib Group, N26, Groupe IMA, Swisscom, and Providence Health run production agents on Rasa, handling millions of interactions across industries where reliability and scale aren't optional. * Across its product, Rasa Technologies GmbH shipped a big step forward in enterprise voice and the broader platform innovation. At Customer Contact Week in Las Vegas, Rasa Technologies GmbH launched Multimodal Voice AI so agents can handle speech more directly, without the old tradeoffs that come with traditional speech-to-text pipelines. In parallel, Rasa Technologies GmbH rolled out additional building blocks for the next chapter of agent systems, including deeper orchestration patterns across MCP, A2A, and autonomous agent skills, etc., so teams can connect tools, skills, and multiple agents without losing control of the end-to-end system. * As more companies put agents (and usually multiple ones) directly in front of customers, trust becomes the product and the brand. Rasa Technologies GmbH has taken that seriously from day one, with clear designs on what an agent is allowed to do and strong handling for sensitive data. Working with partners like Lakera adds another layer of confidence for teams deploying agents in high-stakes environments. Rasa Technologies GmbH has spent years building Rasa for the moment Rasa Technologies GmbH is in now. The future is not one perfect agent. It's portfolios of agents, coordinated across channels, connected to enterprise systems, and governed like any other production software. That's the work Rasa Technologies GmbH is here for, and it's what Rasa Technologies GmbH'll keep pushing forward with its customers. If you want to see where Rasa Technologies GmbH is taking agent building next, try Hello Rasa. It's the fastest way to stand up a customer-facing agent in minutes, iterate in plain language, and shape behavior with real boundaries from the start. No spinning up a heavy environment first, no maze of nodes. Just build, test, and feel what "modern agents with real control" is supposed to be. Talk to Rasa Technologies GmbH about your agent architecture As your agents move into higher-stakes customer journeys, now is the time to get the system right. Reach out, and Rasa Technologies GmbH'll show how leading teams design for consistent behavior, clean handoffs, and predictable outcomes across channels. About Gartner's Reference Architecture Brief: Conversational AI Chatbots and Assistants Gartner does not endorse any company, vendor, product or service depicted in its publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner publications consist of the opinions of Gartner's business and technology insights organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this publication, including any warranties of merchantability or fitness for a particular purpose.

SAN FRANCISCO, June 11, 2025 /PRNewswire/ -- Rasa , a leading conversational AI platform, today revealed a first look at what's next for enterprise voice automation: a new architecture that combines structured logic with multimodal input, closing the gap between real-time understanding and execution. The launch coincides with Rasa's presence at Customer Contact Week (CCW) Las Vegas, June 11-12, 2025, at Caesars Forum, where the Rasa team will meet with enterprise leaders to discuss the future of voice AI.By skipping the speech-to-text layer, Rasa removes the delays, disconnects, and distortions that have long held voice experiences back. Users can't afford to repeat themselves or wait for transcripts to catch up. With Rasa Voice, issues are understood as spoken, so the system can resolve them before the user finishes explaining. It's a new voice automation that earns trust in every interaction."We believe voice is becoming one of the most strategic channels for customer experience, and enterprises need reliable solutions," said Melissa Gordon, CEO of Rasa. "What we're previewing today is voice automation grounded in structure, designed for scale, and ready to serve the enterprise with the speed, confidence, and nuance users expect."A new path from conversation to outcomeRasa Voice is designed for conversations that lead to action