Memories.ai Named Innovation Leader in Multimodal Memory Platforms

What Is the IT Brand Pulse AI Brand Leader Survey?

IT Brand Pulse is the first independent analyst firm dedicated to tracking brand leadership across the AI engineering stack. Its surveys are conducted with AI developers and practitioners, capturing real industry sentiment across emerging categories.

In its March 2026 report, IT Brand Pulse introduced Multimodal Memory Platforms as one of the core layers in the AI Engineering stack, recognizing the growing importance of memory and context in next-generation AI systems.

This year, 220 AI developers participated in the survey, voting for both:

• Market Leader
• Intelligence & Innovation Leader

The results highlight not just adoption, but where the category is heading.

The 2026 Results at a Glance

The outcome reveals a meaningful split:

• Twelve Labs was voted Market Leader (30.0%)
• Memories.ai was voted Innovation Leader (31.8%)
• Memories.ai also secured strong recognition in market leadership, placing second with 20.0% of the vote.

This recognition reflects a broader shift: multimodal memory platforms are fast becoming a foundational layer of the AI stack, and the move from perception to memory is already in motion.

What Are Multimodal Memory Platforms?

According to IT Brand Pulse, Multimodal Memory Platforms:

• Ingest and index video, audio, images, and text
• Enable semantic search and cross-modal retrieval
• Provide temporal understanding across data streams
• Maintain persistent context over time

They sit within the Context & Memory layer of the AI stack, alongside:

• AI Memory Platforms
• Context Engineering Platforms
• Knowledge Graphs
• Vector Databases

More importantly, they represent a foundational shift: from systems that process information to systems that remember experience.

Why This Recognition Matters

Being named Innovation Leader is not only a huge honor, it reflects the growing recognition that memory is the missing layer in AI. Most systems today are still session-based with limited context. Even the most advanced models reset after each interaction.

But real intelligence, especially in the physical world, depends on continuity, identity over time, and accumulated context.

This is the problem Memories.ai is built to solve.

Where We Stand

Memories.ai is building the world's first Large Visual Memory Model (LVMM)—a system designed to:

• See and understand visual data at scale
• Compress continuous video into structured memory
• Persist context across sessions and time
• Enable real-world recall, not just real-time analysis

This goes beyond traditional video intelligence. It enables:

• Stable human identity tracking
• Cross-session memory for agents
• Search and reasoning over lived experience

In short, we're not just helping AI analyze the world. We're helping it remember it.

A Category in Transition

The split between Market Leader and Innovation Leader reflects where the space is today:

• Video understanding has driven early adoption
• Memory systems will define the next phase

As agentic AI systems emerge, the requirements are changing. AI needs to:

• Act across time, not just in the moment
• Retain context across environments and interactions
• Build a persistent understanding of the world

This is especially critical for:

• Wearables and smart glasses
• Robotics and embodied AI
• Personal AI assistants

Because in these environments, intelligence without memory is incomplete.

Looking Ahead

Being recognized as Innovation Leader is an important milestone, but like all milestones, it's a signal, not a destination.

We believe the future of AI will be defined by systems that:

• See what you see
• Remember what matters
• And act with context over time

The industry has made incredible progress in building the "brain." We're focused on building the memory.

Thanks to You

Thank you to the developers who voted for us, our partners, and the community who continue to support and believe in this vision.

This recognition belongs to all of you.