brainload/loading knowledge 0..1.._

From 6 weeks to 7 days.

Whatever your team needs to learn — a new client, a new project, a new role, a new domain — Brainload turns raw context into an AI-generated loading protocol. Verified by tests, not assumed.

What we do

A knowledge loading protocol for humans.

Companies waste weeks every time someone needs to ramp up on something new — a new client, a new product, a new compliance regime. The standard answer is a PDF, a Confluence page, and a calendar of mentor calls. After a month, 80% is forgotten. The brain doesn’t work that way.

Brainload ingests raw context — documents, recordings, internal wikis — and outputs a structured 7–10 day learning protocol. Podcasts, dialogues, quizzes, AI roleplay. Dosed by edtech science: spaced repetition, active recall, cognitive load theory. Knowledge sticks. We verify with tests.

× Not an LMS or course catalog — you don’t author content.
× Not a chatbot over your wiki — structured loading, not Q&A on demand.
× Not a sales-only enablement tool — any context, any role, any team.
A loading protocol AI-generated per context, dosed by edtech science, verified by tests.

Who it’s for

Anywhere people need to load context fast.

01 / consulting

Project ramp-up

Get a consultant project-ready in days, not weeks. New client, new industry, new regulatory context.

02 / hr

Employee onboarding

Replace the PDF + mentor-call grind with a structured protocol. Verified completion, not assumed.

03 / sales

Sales enablement

Roll out a new product or territory. Reps actually retain the playbook. Time-to-quota drops.

04 / m&a

Post-merger integration

Load the acquired company’s playbook into your team. Two cultures, one operating model, weeks faster.

05 / legal

Compliance updates

Regulator changes the rules. Your team needs to actually know it, not just sign a form.

06 / ops

Role transitions

Internal moves, succession planning, knowledge handover before someone leaves.

How it works

Raw context in. Loaded brain out.

→ INPUT

Raw context

Documents, decks, Confluence pages, call recordings, SOPs, regulator filings — whatever describes the new domain.

⟳ PROCESS

AI-generated loading protocol

Brainload reads your raw materials and assembles a custom 7–10 day protocol for that specific domain — AI-generated podcasts, dialogues, micro-quizzes, scenario roleplay, sequenced by spaced repetition. Expert-tuned before launch. Not a template you fill in — a fresh build per context.

← OUTPUT

Verified knowledge

Your person joins the client call without hand-holding. Answers edge-case questions. Makes decisions without escalation. Tested across context, scenarios, and edge cases. Time-to-billable, time-to-quota, time-to-confident — measured.

Example

A new consultant joins a fintech client.

→ DAY 0 / INPUT
  • 120 pages of internal docs
  • 6 recorded discovery calls
  • fintech regulatory primer
  • 2-week ramp-up window
⟳ BRAINLOAD GENERATES
  • 3 × 15-min briefing podcasts
  • 5 scenario simulations
  • daily micro-quizzes (spaced)
  • AI roleplay: client objections
← DAY 7 / OUTPUT
  • joins client call solo
  • answers edge-case questions
  • passes domain knowledge test
  • billable from week 2, not week 6

Why us

Built on systems where errors aren’t an option.

Brainload isn’t a thesis — it’s the third application of an engine we’ve shipped twice already. The same primitives that drive measured language retention and certified medical training, now turned on corporate knowledge.

listen.talk
language acquisition · measured retention

Greek language A2 in weeks, not years. Spaced repetition, AI dialogues, real comprehension tests. The pedagogical engine.

scanchild.eu
medical protocols · zero-error tolerance

Certified pediatric medical protocols with AI-assisted video analysis. The rigour: medical-grade verification, real patient outcomes.

Proof

Numbers, not vibes.

~50%
of new information forgotten within 24 hours without active recall
Ebbinghaus forgetting curve
avg retention lift from spaced repetition + active recall
Cepeda 2008 meta-analysis (n>14k) / Karpicke 2011
6w → 7d
standard ramp-up vs Brainload loading
consulting / onboarding benchmarks

First design-partner pilots run summer 2026. Per-cohort results published. Design partners see the numbers first.

Become a design partner

First cohort. 2–3 spots.

We’re working closely with a small group of consulting firms, engineering teams, and people-ops leads to shape Brainload around real ramp-up problems. First cohort gets: hands-on protocol design, custom integrations, direct founder access, and design-partner pricing locked in.

If your team loses days every time someone needs to load a new context — tell us about it. We reply within 24 hours.