The difference between a brilliant contractor
and a ten-year veteran

Most AI tools can reason, plan, and act. But they don't know your clients, your pricing history, or why the last three deals in financial services fell apart at procurement. Loam does — and it gets richer every day.

Memory stores what happened. Loam learns why.

Loam builds a living knowledge graph of your organisation that grows richer with every interaction — connecting decisions, patterns, and outcomes that no individual could track.

Decision traces

Every significant decision is captured — not just the outcome, but the reasoning, the alternatives considered, and the people involved. When a similar situation arises, Loam draws on precedent.

"We offered TechFlow a 15% discount after three SEV-1 incidents, approved by VP Sales, which saved the $120k renewal. This became the template for incident-based retention offers."

Pattern discovery

Loam identifies patterns distributed across hundreds of conversations and dozens of people. Which objection handling actually closes enterprise deals? What sequence of actions predicts churn?

"Deals where a technical call happened in the first two weeks closed 2.3x more often. This pattern was invisible until Loam connected 23 deal threads across 6 months."

Norms emergence

The most valuable organisational knowledge isn't in any policy document — it's in the unwritten rules everyone follows but nobody has documented. Loam surfaces these hidden norms.

"Your team has given healthcare clients a 15% discount 8 times in the last quarter. Should this exception become a standard rule?"

Exception tracking

Every time someone overrides standard process, Loam captures it: what rule was broken, why, what happened next. Over time, exceptions either become new norms or serve as warnings.

"Three reps offered >15% discounts in the first conversation. All three deals were lost. Early heavy discounting correlates with -40% close rate."

Intelligence without governance is a liability. Loam was built for both.

The biggest blocker to enterprise AI adoption isn't capability — it's trust. Can the AI be trusted not to leak salary data into a client channel? Loam's security model isn't an afterthought. It's architectural.

The one-way membrane

Intelligence flows inward — external context, research, and public information enrich internal discussions. But internal knowledge never leaks outward. Client-facing channels never surface internal pricing, HR decisions, or strategic deliberations.

The room is the permission

Access control mirrors how organisations actually work: if you're in the channel, you can see the intelligence. No complex permission matrices to maintain. Channel membership is the permission model.

Full audit trail

Every query, every access, every permission decision is logged. You can see exactly what was accessed, by whom, and why it was allowed. Compliance isn't a checkbox — it's a queryable record.

Action permission classes

Observe
Read company data, search knowledge
Allowed
Generate
Draft reports, summarise threads
Allowed
Notify
Send alerts to your channels
Allowed
Modify
Update records, edit data
Requires Confirmation
Communicate
Send emails, post externally
Requires Approval
System
Shell access, filesystem
Always Blocked
Blocked ($0)QueryUser asks a questionClassifyGeneral or sensitive?Permission CheckRole, dept, hierarchySearch + GenerateRAG + LLM response

Four levels of organisational memory

Knowledge exists at different levels of your org. Loam respects that structure — what it shares depends on who's asking.

Organisation

Visible to: All members

  • Company policies
  • Institutional norms
  • Decision precedents

Team

Visible to: Department members

  • Domain expertise
  • Team rituals
  • Departmental knowledge

Client

Visible to: Account team only

  • Relationship history
  • Preferences
  • Contract details

Personal

Visible to: You only

  • Working notes
  • Query history
  • Individual preferences

Two types of knowledge at every level

Facts — structured data you import (org charts, client records, deal history). Experience — patterns Loam learns over time from interactions and outcomes ("Acme meetings usually run long", "healthcare clients always negotiate on implementation timelines").

Three modes. Every channel.

Loam doesn't just wait for questions. It queries, watches, and learns — delivered through the web app, Telegram, WhatsApp, or wherever your team works.

Ask

You → Loam

Ask Loam a question from any channel. It checks permissions, traverses the knowledge graph, and returns context-rich intelligence — not document chunks.

Proactive

Loam → You

Loam monitors patterns and pushes alerts when it spots something important — at-risk renewals, stale deals, emerging trends.

Learn

Environment → Loam

Every conversation, decision, and outcome feeds the graph. Loam gets smarter without anyone needing to maintain it.

Powered by LoamDB — the multi-model database built for intelligence.

query received
classify intent # free
if general → skip to search
if sensitive → check permissions
blocked? → decline # $0.00
allowed? → search + generate

Permissions save you money

Sensitive queries are classified before any expensive search or LLM call. Blocked queries cost nothing. The permission system isn't just a security feature — it's a cost optimisation.

  • Free keyword classification catches sensitive queries instantly
  • Permission checks run before expensive searches
  • Blocked queries never reach the LLM — zero cost

Give your team an AI that knows the business

Start building compounding intelligence today.