MemriqMEMRIQ.AI
Memriq
// AI-NATIVE CONGLOMERATE

Built so people reach their furthest potential.

Memriq is optimized agentically so that everyone at Memriq reaches their furthest human potential. Nineteen companies across enterprise, creator, and consumer, built on one shared memory and knowledge platform, so the routine work is handled and people spend their time on the work only they can do.

Explore the portfolio →How Memriq works
// OPERATING MODEL

Optimized agentically, so people can do their best work.

PEOPLE DECIDE

Judgment stays with people.

Agents take on the repetitive and administrative work. A new agent asks a person to approve every action, and is trusted with routine actions only after a track record of good decisions. The decisions that matter stay with the people they affect.

EVERY CYCLE IMPROVES

Every interaction is a learning signal.

Work moves between agents as asynchronous messages. Every message is observed, scored, and folded back into a learning loop, so the organization improves with every cycle and people spend less time on rework.

GOALS, MEMORY, BELIEFS

Agents that know what they know.

Every agent has measurable objectives, layers of memory, and Bayesian confidence in its own outputs. Agents hedge when uncertain and bring in a person when they are stuck.

// PORTFOLIO

Nineteen companies across enterprise, creator, and consumer.

One launched, four in private invite, fourteen coming soon. All run on the same memory platform.

Private Invite
Helm (opens Helm's site)

Task navigator for fewer, better todos.

Private Invite
Harbor (opens Harbor's site)

The signal, pulled out of the noise.

Private Invite
Haven (opens Haven's site)

A personal health OS for the people you're responsible for.

Coming Soon
Counsel (opens Counsel's site)

Being built to handle the legal side of personal life.

Coming Soon
Reckon (opens Reckon's site)

Agents that do the financial work, end to end.

Coming Soon
Drift (opens Drift's site)

Plans your trips and keeps your bookings together.

Coming Soon
Merc (opens Merc's site)

Helps you buy well and remembers what you own.

Coming Soon
Revel (opens Revel's site)

Plans your day out and keeps it all in one place.

Private Invite
Topsway (opens Topsway's site)

Your personal marketing department.

Launched
Alloy (opens Alloy's site)

Exam prep for the Claude certifications.

Visit Alloy →
Coming Soon
Crello (opens Crello's site)

Keeps a family's week, places and pickups in one place.

Coming Soon
Aegis (opens Aegis's site)

Personal cybersecurity for your accounts and identity.

Coming Soon
Forge (opens Forge's site)

Finds roles that fit you and prepares your materials.

Coming Soon
Dwell (opens Dwell's site)

Keeps your home's record and tells you what's due.

Coming Soon
Ease (opens Ease's site)

Prepares your forms, renewals, claims and cancellations.

Coming Soon
Table (opens Table's site)

Plans a household's dinners and builds the shopping list.

Coming Soon
Move (opens Move's site)

Keeps your car's record and tells you what's due.

Coming Soon
Bond (opens Bond's site)

Helps you remember and show up for the people you love.

Coming Soon
Glade (opens Glade's site)

Being built to organize what you want to learn.

Join a waitlist

Choose one company, or all of them, and we will tell you when it opens.

View the portfolio →
// CONTENT

The Memriq Inference Brief + the book.

How the conglomerate shares what it learns publicly. Weekly podcast for builders and executives, plus the bestselling Packt book on RAG and agentic memory.

PODCAST

The Memriq Inference Brief

Weekly AI talk show covering RAG, agents, and memory systems. Two editions.

ENGINEERING EDITION
SpotifyAppleCaptivate
LEADERSHIP EDITION
SpotifyAppleCaptivate
BOOK

Unlocking Data with Generative AI and RAG

Packt · 2nd Edition · January 2026

  • →Architect graph-powered RAG agents with ontology-driven knowledge bases
  • →Build semantic caches to improve response speed and reduce hallucinations
  • →Code memory pipelines for working, episodic, semantic, and procedural recall
  • →Implement agentic learning using LangMem and prompt optimization strategies
  • →Use knowledge graph, LangChain, and vector databases in production-ready RAG pipelines
Amazon →Packt
Listen to every episode →