The Full Picture

Better decisions
need more than documents

BrainJump brings together the documented record with the rationale, trade-offs and judgement behind past decisions, then makes that available in the workflows where teams plan, brief and decide.

Speak with us

A Fuller Company Brain.Two Layers, One System.

What Good Looks Like
Global Brand Director
Review Criteria
Regional Market Head
Exception Logic
VP Marketing

Reasoning Layer

The decision rationale: trade-offs, exceptions, judgment calls, application logic, escalation rules.

Slack
Google Drive
Gmail
Google Docs

Documentation Layer

What was written: strategies, frameworks, policies, prior decisions, meeting notes, emails, Slack, docs.

Three Solutions.
One Mission.

Playbook & Process Application

We capture operator know-how. Then we activate it where teams plan, brief and decide. Better decisions, less bottleneck.

Every answer carries the rationale, trade-offs and exceptions behind it, not just the document but the judgement that shaped it.

Make scarce senior judgement reusable across teams, markets and time zones, without adding another meeting or bottleneck.

Make the know-how of those who've been there, done that, available to those doing the work today.

Available Where Your Teams Already Work
No New Platform To Adopt.

Ask BrainJump in your
existing tools

SlackMS TeamsGmail
BrainJump AI answering inside Microsoft Teams

One home for
all organizational
knowledge.

MeetingsDocsThreadsMeetingsPPTsThreads
Documents, threads and meetings unified in one place

Knowledge available
even in meetings

Teammate on a video call
A
C
The Global CDJ framework
treats gaming as an audience
strategy, not a journey stage.

How It Works. The Architecture Behind BrainJump.

Decision-Science-Led Capture

Structured methods surface the reasoning the people who made a decision rarely write down: the trade-offs, exceptions and why a call was made.

Reasoning encoded into a structured, inspectable system

Cognitive Reasoning Architecture

The captured reasoning is encoded into a structured, inspectable system, not a black-box LLM, not prompt engineering. The model handles language; the architecture carries the decision logic, so it can be examined, governed and trusted.

Records from video, chat, docs and people, unified

Full Company Context
Documented + Reasoning

BrainJump plugs into where your records already live, across Slack, SharePoint, email, chats, meeting notes and docs, and brings that documented context together with the captured reasoning. Every answer is grounded in the full picture at the moment of the decision, not half of it.

Learning Loops

Every interaction reveals which reasoning patterns work in which contexts. Improvements are validated and folded back in, so the system gets sharper with every decision, domain and use case.

The Team Behind
BrainJump

Amit Singh
Amit Singh
Founder, BrainJump
London, UK

Founded by Amit Singh, after 20+ years leading marketing for some of the world's largest consumer brands across Europe, the US and Asia. BrainJump exists because he spent two decades watching the reasoning behind good decisions disappear the moment it left the room.

Mondelēz InternationalCoca-ColaPepsiCo

Engineering With Real AI/ML Depth

Built by people who've designed and shipped machine learning systems, so the reasoning layer is engineered, not prompt-engineered.

We model how expert decisions are actually made: the heuristics, trade-offs and biases, not just the artifacts they leave behind.

Designed with senior marketing and commercial leaders who have lived the decisions BrainJump is built to scale.

Founder-led. Science-grounded. Built for how real decisions happen.

Talk to Us.

We're starting with consumer-brand marketing teams. If you are trying to scale valuable in-house know-how, or reduce the decision load on a small number of senior leaders, let's talk. We work with a small number of design partners on high-stakes use cases where better reasoning can improve both execution quality and leadership leverage.

hello@brainjump.ai