Engram

Company

Building full-stack intelligence

Engram is an applied AI research lab. We design and deploy systems that integrate models, memory, reasoning, and execution into coherent architectures that operate over time.

Our work spans the full stack—from hardware and accelerators to models and the integration layer that makes them work together.

The Problem

Model scaling is converging

The last phase of AI progress was driven by scale: larger models, more data, more compute. That phase is now compressing. Frontier models are converging in capability. Open-weight models and distillation techniques have narrowed the gap.

As a result, raw model capability is no longer the primary differentiator. The limiting factor has shifted to how models are used: how they reason, how they remember, how they interact with tools, and how they improve through use.

Our Approach

Full-stack intelligence

Intelligence requires more than models. It requires hardware, accelerators, architectures, and the integration layer that makes them work together. We build across the full stack—and we build tools that help us build better tools.

This recursive approach means each generation of our systems accelerates the development of the next. Our research infrastructure is itself an Engram system.

The stack

1
HardwareCustom compute for inference and training
2
AcceleratorsOptimized kernels and memory management
3
ModelsSpecialized architectures for reasoning and retrieval
4
IntegrationMemory, orchestration, and execution frameworks

Applied by Design

Research shaped by deployment

Engram is deliberately applied. Our systems are developed and tested in real environments—academic and enterprise settings where correctness, auditability, and reliability matter.

These deployments expose constraints that do not appear in benchmarks: partial information, changing objectives, and the need for human oversight. This feedback loop informs our research.

What we optimize for

Time from question to validated answer
Ability to reason across long horizons
Consistency under complexity and distribution shift
Iteration speed without loss of traceability

Benchmarks are inputs, not endpoints.

Locations

Founded in 2024. Headquartered in San Francisco with R&D in Melbourne and London opening Q1 2026.

San Francisco

United States

Headquarters

Melbourne

Australia

R&D

Los Angeles

United States

Office

London

United Kingdom

Opening Q1 2026

Work with us

Interested in learning how Engram can help your organization? Whether you're exploring research collaboration, investment, or press inquiries—we'd like to hear from you.