AI experiences in one intuitive DXP console
Design, manage, and refine every AI interaction in one place. No scattered tools, no fragmented workflows, just seamless orchestration and control
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Semantic Search

Knows what you're looking for, even when you don't

Your users don’t want a list of links, they want answers. Our semantic search agents go beyond keywords to understand the intent behind every query

Whether it’s a sentence, a follow-up, or something a little vague, they scan your documents, datasets, and visuals to deliver the right response, fast

Perfect for internal systems, knowledge bases, product catalogs, content-rich environment and anywhere people go looking for information

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Understands natural language and user intent
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Interpret complex and ambiguous queries
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Stays in context across follow-ups
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Finds answers, not just results
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Handles follow-up questions without losing track
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Semantic search agents learn what matters, skip what doesn’t, and respond with precision, even as user intent changes
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Conversational AI

Chatbots that are smart, safe, and always on brand

Your customers ask complex questions and expect clear answers. These conversational agents are built to keep up, handling back-and-forth dialogue

Each response is grounded in your data and protected by built-in guardrails, so answers stay accurate, safe, and on message, every time

Ideal for customer support, employee helpdesks, guided onboarding, self-service flows and anywhere people expect answers, real and fast

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Handles multi-step, contextual conversations
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Stays grounded in your real data, not generic models
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Guardrails ensure accuracy, and safe responses
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Understands nuance in real time
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Handles follow-up questions without losing track
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Listens like your best agent, speaks in your voice, and keeps pace, no matter how the conversation unfolds
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Document analyst

Understands every page, every format and finds what others miss

PDFs to visuals, tables, and raw text these agents analyze across formats to extract insights, surface patterns, and answer questions

Each response is grounded in your content and shaped by context, so what’s hidden becomes obvious and what matters comes first

Ideal for research, compliance, operations, and any team working with content, from documents to data and everything in between

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Speeds up audits, reviews, and decision-making
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Cuts hours of manual review down to minutes
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Reduces human error in data extraction
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Finds information buried in fragmented content
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Frees up teams to focus on action
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Understands like an analyst, responds like a teammate, delivers like it’s built for your work
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Go for a custom-built, fully integrated and ready to deploy AI console
No-code to pro-code flexibility, enterprise security and permissions, API-friendly and integration-ready, monitor performance and retrain with real feedback
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A few things we care about

AI for good. AI should be used to solve real-world problems, promote fairness, and improve lives. From addressing accessibility challenges to reducing inequalities, AI can create a positive social impact when implemented responsibly

Human-in-loop. AI works best when combined with human oversight. Including people in critical steps ensures accuracy, improves decision-making, and keeps the system aligned with real-world needs

Adapting to context. AI should continuously learn and adjust based on new data, changing user behaviors, and evolving business needs. This ensures it remains relevant, effective, and aligned with the context in which it operates

Ethics first. Ethical AI means being fair, transparent, secure and private. It involves spotting and reducing biases in systems and making decisions that users can trust. Accountability at every stage builds long-term reliability in AI solutions