Gartner-recognized relational intelligence.
Promethist is a Representative Vendor in the Gartner® Market Guide for Digital Humans — independent validation of our platform from the world's leading research firm.
“A no-code platform for building, training, and managing emotionally intelligent digital humans.”Source: Gartner, Market Guide for Digital Humans, G00817874, October 2025
Listed as a Representative Vendor · Market Guide for Digital Humans · 2025.
The engagement gap enterprises can't close.
Gartner's research is clear: customers want digital self-service, but existing tools fail to engage them. Text chatbots and voicebots offer scale but lack the human touch needed for meaningful connections. The result is a massive gap between where customers start and where they drop off.
AI avatars address this gap by combining natural language processing, lifelike visuals, and synthetic voice to deliver empathetic, high-fidelity interactions — bridging efficient automation and face-to-face conversation.
2026 Gartner State of the Customer Survey (n=3,566)
Where Gartner sees the market heading.
Across both publications, Gartner identifies clear directional shifts in how enterprises should think about digital humans — every one of which aligns with what we've been building since 2019.
From chatbots to relationships
Gartner identifies that the combination of generative AI and agentic AI transforms digital humans from simple "talking heads" into proactive, actionable digital workers capable of executing complex, multistep goals autonomously.
Long-form interaction is the future
Unlike AI agents that offer limited, transactional experiences, Gartner sees the market shifting toward long-form, interactive engagements focused on specific use-case expertise — sustained conversations that build trust.
Augment, never replace
Gartner recommends framing digital humans as "cybernetic teammates" that handle routine queries so human agents can focus on complex, empathetic problem solving. Never list them as digital employees.
Photorealism matters
The market shows a clear preference for high-fidelity, photorealistic digital humans. Lower latency and fluid accuracy help bridge the uncanny valley and maintain user trust.
Helping define a category.
When Gartner published its first Market Guide for Digital Humans in 2025, it was defining a category the enterprise market didn't fully understand yet. We helped shape that understanding.
The concepts Gartner now uses to describe this market — relational intelligence, emotionally intelligent agents, long-form interaction, augmentation over replacement — are ideas we've been building toward and evangelizing for years. We didn't just get listed. We contributed to the analyst community's understanding of what this technology means for enterprise.
Gartner's research validates what we hear from customers every day: the market needs a platform that goes beyond chatbots, beyond scripted video, beyond transactional interactions — toward persistent, emotionally aware relationships at scale.
What Gartner says defines a digital human platform.
Gartner established mandatory and common features for the digital human market. Promethist delivers across every category.
Built for this moment.
The same platform capabilities that earned Gartner recognition are what enterprises rely on in production every day.
Relational intelligence
Persistent memory and emotional context across interactions — agents that remember, adapt, and build trust over time.
Multimodal & multilingual
Voice, video, text, and kiosk. Deploy anywhere your customers are, in the language they speak.
No-code platform
Build, train, and manage emotionally intelligent digital humans — without engineering bottlenecks.
Enterprise-grade
SOC 2, ISO 27001, GDPR, EU AI Act. Private deployments, data residency, and integration-first architecture.
A market Gartner says is just getting started.
Gartner's strategic planning assumptions show where enterprise interactions are heading.
See why Gartner took notice.
Book a walkthrough. We'll show you the platform, discuss deployment, and share how enterprises are using relational intelligence in production.
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