Master Plan v1:
June 2024
We are releasing the closed beta of Engram to our first 1,000 users. This is not a public launch.
July 2024
Launch a new version of our core architecture, designed for faster inference, deeper understanding, and engagement.
August 2024
Full-scale stress testing and infrastructure hardening. We will invite security researchers and white-hat hackers to find vulnerabilities.
September 2024
Introduce the first version of Engram for Teams, a collaborative knowledge engine that connects team members and accelerates group learning over time.
October 2024
The Memory Engine becomes fully adaptive, learning not just what you know, but how you forget.
November 2024
Begin rolling out invites to our waitlist of over 100,000 users, onboarding them in controlled, scalable phases.
January 2025
Implementation of learning science-backed features for long-term retention.
February 2025
Launch the Engram API, allowing developers to build applications on top of our adaptive learning infrastructure.
April 2025
Introduce personalized roadmaps, where the Brain not only understands your current knowledge but proactively builds learning paths to help you achieve your goals.
May 2025
Public launch, Engram is now open for all.
Our Mission:
To transform how humans learn—by building an AI-native learning ecosystem that evolves with the user, understands context, and adapts continuously. Learning should not be static. It should be alive, personal, and embedded in every layer of human progress.
Our Guiding Philosophy:
We believe that intelligence is not a fixed quantity, it is a living process. The world changes too quickly for static education models. Every human deserves tools that help them think faster, learn deeper, and adapt smarter.
Engram exists to make lifelong learning a native part of life, not a chore layered on top of it.
A Brain is your persistent, intelligent model inside Engram — a reflection of everything you know, how you think, and how you learn. Each concept you learn becomes a neuron.
These neurons connect, strengthen, or decay based on your usage. As your Brain grows:
- It builds on existing neurons
- Fills in missing prerequisites
- Adapts your learning path in real time
It doesn't just store knowledge — it thinks with you. Your Brain is your second self — built for a world where learning must be fast, adaptive, and alive.
Education:
The world isn't just changing — it's accelerating.
The rate at which knowledge is created, outdated, and restructured is exponential. Automation is eating tasks faster than humans can be retrained. Entire industries are collapsing and reforming within a single graduation cycle.
And now, with the rise of AGI, even the nature of intelligence is being rewritten. In this world, learning isn't just important — it's survival. But education today wasn't built for this world. It's slow. Passive. Standardized.
Students sit through lectures. Memorize answers. Get tested on what they'll forget. We are out of time for that.
If we don't radically transform how humans learn, we will raise a generation trained for problems that no longer exist — while machines master the problems we haven't even imagined yet.
Engram is not reform. It is a complete rebuild.
We don't start with a syllabus. We start with the brain.
Engram constructs a living curriculum tailored to:
- What you know now
- How you learn best
- What you're trying to achieve next
It adapts in real time. It responds to your pace, your style, your gaps, your strengths — all guided by your personal "Brain," Engram's persistent, intelligent model of your knowledge and cognition.
This is not about passing a test. This is about evolving as a thinker — fast enough to survive what's coming.
Whether it's algebra, philosophy, machine learning, or project management, Engram builds the fastest path to deep, applied understanding.
Engram is created for the user. It understands the user's pace, context, and learning style.
When a student begins a subject, Engram can build a custom trajectory. Maps out what prerequisite concepts they need. Analyses previous knowledge using their Brain. Uses live diagnostics (mini-challenges, concept mapping) to set the pace and difficulty. Pulls from high-quality open educational resources, videos, textbooks, and custom modules. Engram lays out the progress.
Engram is not limited to the student, but also expands to the teacher. Teachers can view anonymised, aggregated Brains to see:
- Which students are struggling with a specific concept
- Who has already mastered a topic and is ready to move ahead
- Which knowledge areas are decaying and need review
Engram assists in lesson planning by:
- Suggesting exercises based on current class cognition
- Adapting reading material difficulty
- Recommending engagement methods for different student clusters
We are approaching a future where machines will learn faster than we do. If we do not give every human access to intelligence infrastructure that matches that pace — we will be left behind.
Engram exists to make sure we aren't. We don't just make education intelligent. We make learners unstoppable.
Enterprise:
Phase 1: Offer Corporate Training:
We will deploy Engram in corporate environments to aid employee onboarding. Rather than static slides and generalised e-learning modules, new employees will interact with an AI-powered personal learning environment—a "Brain" tailored uniquely to them. Each "Brain" understands role-specific duties, company culture, jargon, and workflows. Knowledge is absorbed faster due to contextual learning delivered in the user's cognitive style. This shortens onboarding time, reduces training fatigue, and boosts retention.
How it works:
Companies upload documentation, SOPs, playbooks, recorded meetings, and internal wikis into a private, secure cloud or on-premises data vault. Engram then:
- Parses, categorises, and creates dynamic knowledge maps.
- Delivers content progressively based on role, background, and performance.
- Updates in real time as policies and practices evolve.
Phase 2: Upskilling:
The software evolves beyond onboarding to become a real-time operational learning layer within the workplace. This phase transforms passive knowledge into proactive performance optimization. Engineers get custom guides based on stack and team codebase. Sales teams receive live training based on client vertical, region, or persona. Managers gain leadership and compliance micro-lessons tailored to their feedback loops.
This is not a course. This is knowledge delivered:
- At the moment of relevance,
- In the format the user prefers,
- With retention metrics and adaptive feedback loops.
Phase 3: Performance Layer:
We introduce active learning during work through feedback loops, real-time correction, peer learning via Engram. We set everything up for the future.
Phase 4 - Full Autonomy:
The final phase is when Engram becomes the autonomous cognitive infrastructure of the organisation. Business goals are input. The system maps capabilities, talent, and knowledge to execution plans. Training paths are created and executed autonomously—reshaping job roles, teams, and capabilities with precision. A more modern take on AI Agents This is autonomous learning at scale, learning systems that know what the company needs to know before the company itself does.
General:
However, we do not see Engram as a corporate training platform. We see this as the neural infrastructure for humanity. In education, it becomes the most personalised tutor In health, it trains doctors based on regional outcomes and patient history. In defense, it adapts strategy to shifting realities in real-time.
We are the company, ready for AGI, but not to replace humanity with AI, but uplift and aid.
Networking Tool:
In a world shaped by Engram, static profiles and keyword-based résumés become relics of the past.
Rather than listing what you claim to know, your Brain—Engram's AI-powered, evolving model of your knowledge—proves it. Every challenge you've overcome, every skill you've acquired, and every concept you've mastered is embedded, timestamped, and contextualised.
Where traditional networking tools offer endorsements, Engram offers evidence. Engram reveals how you grow. The hiring process transforms from filters and interviews into trustable learning histories. Imagine discovering collaborators based on shared intellectual trajectories, not shared connections.
The Engram Network isn't just a place to display credentials, it's where human potential is indexed, unlocked, and activated in real time.
A Memory Tool:
In the future, forgetting becomes optional. The Engram Memory Engine is your second brain — a dynamic, intelligent memory system that grows with you. Every idea you explore, every concept you master, every mistake you learn from is captured, organized, and resurfaced when it's most needed. This isn't passive storage. It's contextual, active memory:
- Recall knowledge instantly, in the middle of real work.
- Resurface forgotten insights when they become relevant again.
- Connect ideas across disciplines and time — automatically.
Unlike traditional note-taking tools, the Memory Engine doesn't just help you store information. It helps you retain, apply, and evolve it.
Real-Time Thought Partner:
Engram becomes your cognitive copilot — helping you brainstorm, reason, and solve problems in real time. Through voice, text, or visual input, Engram interprets your current thought process and contributes constructively:
- Offers counterarguments, validations, or supporting data.
- Challenges your assumptions and biases.
- Surfaces relevant past learnings from your Brain.
We are not building AI to replace people. We are building it to awaken the full potential of everyone. This is not just software. This is how we remember, grow, and shape the future.
Finale: Neural Integration:
Engram's ultimate destination is the brain.
As brain–computer interfaces (BCIs) move from theory to implantable reality, we see an inevitable convergence:
The Brain meets the Brain.
Our software already adapts to how you think. Soon, it will connect to what you think — directly. By merging with technologies like Neuralink, Engram becomes more than an assistant. It becomes an extension of cognition itself. Imagine:
- Learning a new concept as fast as recalling an old one.
- No typing. No interface. Just knowing.
- Cognitive augmentation that's responsive, sovereign, and contextual.
- Memory recall triggered by intention.
- Real-time cognitive scaffolding in thought, conversation, and action.
This isn't about uploading consciousness. It's about expanding it, enhancing biological intelligence with digital infrastructure — where the boundaries between mind and machine blur not through control, but collaboration.
Engram was always meant to be neural-native.
The future is not screens. It's seamless cognition.
We are preparing for that future — where every human has the tools to think faster than the world changes.
