Your organisation's shared context layer.

A single governed context layer for every team, agent, and LLM your organisation runs. Access-controlled, grounding every decision and answer: who knew what, when, and why.

MEETINGS · LLM CHATS · TASKS · PLANS · DATA STORES

01 / THE PROBLEM

Your AI doesn’t know what your organisation knows.

WITHOUT A SHARED LAYER

Teams and individuals already lean on LLMs and agents. Some expert, some just starting. Each works in its own silo, on wikis, docs, and context copy-pasted between tools. It is brittle, and none of it is governed.

SILOED · BRITTLE · UNGOVERNED
WITH ALTERWELT

One shared context layer grounds the whole organisation, and every AI answer in it. Access-controlled and governed. It remembers what changed, and when. Every person and agent works from the same record.

SHARED · GOVERNED · GROUNDED

Every silo is a different version of the truth. None grounded, none governed.

02 / THE FLOW

Sources in. Governed context out.

01 CONNECT

Read from where context forms: meetings, LLM chats, tasks, plans, and your systems of record.

Flow of the Alterwelt system: meetings, LLM chats, tasks, plans, docs, and data stores connect in, are resolved, stored, and governed, then served to assistants, agents, and workflows across an MCP boundary, with every change logged to the record. MEETINGS LLM CHATS TASKS PLANS DOCS WAREHOUSE
02 RESOLVE

Duplicates collapse. Versions link. The same fact, told five ways, becomes one entry with its history.

03 STORE

Typed, timestamped, attributed. Every entry joined to the people, work, and data it concerns.

04 GOVERN

Scopes decide what each person and agent sees. Provenance comes with every answer.

05 SERVE

One MCP endpoint. Any surface. The same context for everyone.

03 / CONNECTORS

Built to what you run.

LLM CHATS MEETINGS TASKS DOCS COMMS CRM ERP DATA WAREHOUSE CUSTOM

The store reads from wherever context forms, including the LLMs your teams already use. Connectors ship with each deployment: we build to your stack, not a fixed list.

READS ARE SCOPED. WRITES ARE TRACED.
04 / SERVED OVER MCP

One connection for every agent.

Assistants, agents, and tools plug into one governed endpoint over MCP. Scoped per person, team, and agent: what each may read, write, and do.

READ · WRITE · ACT · PER PERSON · PER TEAM · PER AGENT
ASSISTANTS AGENTS WORKFLOWS
05 / SECURITY & PRIVACY

Secure and private by design.

Every read scoped, every write approved, every fact traceable. Your data stays in your infrastructure, and we never train on it.

SCOPED READS

Every read is access-controlled at the fact level. An agent only ever sees what the asker may see.

APPROVED, NOT SILENT

Every write is a proposal until a human, or a rule, approves it. Nothing enters the record by accident.

PROVENANCE AND AUDIT

Every fact and every retrieval is traceable: what, by whom, when. Built to be read by an auditor.

YOUR INFRASTRUCTURE

Single-tenant, in your VPC, or on-prem. Your data stays where your policy and your regulator require.

YOURS, IN THE OPEN

Exportable in open standards. You are never locked in, and we never train on your data.

TEMPORAL TRUTH

Reconstruct exactly what was known at any past moment. The question every examination ends on.

06 / HOW WE WORK

We build it with you, case by case.

Not a product you install. We work with each organisation to uncover how you actually work and what you need, then build a shared, governed context layer that grounds the whole organisation and every answer its AI gives.

DELIVERED WITH IMPLEMENTATION PARTNERS
MID-SIZE SeeClear
ENTERPRISE HyperLychee Labs

Built with startups and scaling companies. Now in conversation with regulated industries, including banks.

07 / SELECTED WORK

Built across domains.

Different industries, the same idea: scattered context resolved into one grounded record an organisation can finally build on.

PET DATA · NORTH AMERICA

For the continent's largest pet-licensing provider, we resolved scattered pet data into one governed record they could finally monetise.

HEALTHCARE · UNITED STATES

We built the entire AI prior-authorisation pipeline for a startup of health-insurance veterans. Every decision grounded and traceable.

CONSUMER · INDIA

We built the context layer for a D2C brand. 3x growth in a year on the same overhead, by grounding their AI in one record.

08 / FIT

Who it’s for.

Organisations where many teams, many tools, and many AI touch the same work. Product companies, professional and financial services, groups that grow by acquisition. Regulated environments included.

Not a chatbot.

Not a replacement for your warehouse or CRM.

Not a model that trains on your data.

As we hand more of our work to AI, what matters stops being the model and becomes the record: what was decided, by whom, and when. A memory you can inspect, correct, and take with you. That is the layer we build.

09 / THE COMPANY

Built by founders with public-company exits across IoT, ecommerce, and services. We build the hard parts ourselves.

Let’s start with how you actually work.

hello@alterwelt.com