Investor brief

Meetings are where enterprise decisions happen. AI Collaborator is building the intelligence layer around them.

The initial wedge is participant-controlled live decision support. The expansion path is durable organizational memory, evidence-backed insight, and governed action across the systems where work continues.

WedgeImprove a consequential decision while it is still live.
ExpansionTurn meeting evidence into organizational intelligence.
Business modelPlanned $19/month or $190/year individual subscription, expanding into team and enterprise editions after paid-demand proof.
Category thesisMeeting AI moves beyond notes into decision infrastructure.

Why this category

The market proved demand for transcripts. The larger value pool is the decision.

Existing products validate willingness to pay for meeting capture, notes, search, coaching, and revenue intelligence. AI Collaborator targets the system boundary before, during, and after a consequential conversation.

01

Immediate individual value

Help a leader or expert enter with context, respond under pressure, and preserve a reviewable outcome.

02

Compounding data asset

With authorization, meeting evidence becomes a structured history of decisions, actions, risks, dependencies, and unresolved questions.

03

Enterprise expansion

Organizational memory and governed workflow create a path from individual software to team and enterprise subscriptions.

Proof before pitch

There is working software behind the thesis.

No revenue, customer, or production-scale claim is implied. These are implementation and local-validation facts, separated from remaining commercial gates.

0.0.24Current locally implemented meeting-intelligence preview
3 surfacesVS Code extension, installable application, and browser companions
194 testsContextIQ deterministic tests passed locally; one external-database test skipped
18 buildsContextIQ production package builds passed locally
42 API pathsContextIQ local OpenAPI surface with core-resource coverage
0 cloud certificationContextIQ has not completed production deployment acceptance

Wedge to platform

A deliberate value ladder.

Start with a self-service product that creates immediate personal value. Expand only after retention, willingness to pay, and operational evidence justify the next layer.

Stage 1

Individual

Live guidance, transcript, trace, grounding, and report across the product family.

Recurring self-service subscription
Stage 2

Professional

Expanded limits, reusable context, advanced reporting, and cross-device continuity.

Higher-value professional subscription
Stage 3

Team

Shared evidence, review, organizational memory, administration, and governed exports.

Per-seat or workspace subscription
Stage 4

Enterprise

Tenant controls, approved integrations, workflow action, retention, audit, and deployment options.

Annual contract

Architectural leverage

The product can become a control plane for meeting context and action.

The extensibility thesis increases surface area without forcing every capability into one monolith.

Context

Ground from authorized systems.

Selected files and workspaces create the initial wedge. Approved CRM, ERP, finance, inventory, delivery, and knowledge systems expand enterprise value.

Intelligence

Compose agents, skills, and MCP.

Compatible agents, reusable skills, MCP servers, models, and bounded tools create an ecosystem rather than a fixed feature list.

Action

Close the loop.

Governed downstream integrations can carry approved outcomes into tasks, records, decisions, approvals, and operating workflows.

The moat thesis is architectural and ecosystem-based. It still requires commercial proof, integration acceptance, policy controls, and repeatable deployment evidence.

What capital unlocks

Fund productization, not theater.

The next capital should convert working systems into a trustworthy commercial product and validate paid demand before scaling fixed cost.

Product

Commercial release

Cross-machine acceptance, signed packaging, update delivery, licensing, checkout, onboarding, recovery, and buyer-ready documentation.

Validation

Paid demand

Instrument acquisition, activation, retention, and willingness to pay. Convert evidence into product decisions, not vanity metrics.

Platform

Team intelligence

Harden identity, tenancy, provider integrations, persistence, retrieval, workflow, and cloud operations behind the ContextIQ direction.

Trust

Privacy and control

Complete production threat modeling, consent flows, retention and deletion evidence, legal review, and independent security validation.

Known risks

The hard questions are visible.

An investable company earns confidence by pricing risk honestly.

RiskCurrent boundaryDe-risking milestone
Crowded categoryMeeting notes and summaries are commoditizing.Prove retention around live decision support and evidence-backed outcomes.
Commercial readinessWorking previews are not buyer-ready releases.Ship signed self-service packaging, onboarding, billing, and update controls.
Privacy and consentMeeting evidence is sensitive and jurisdiction dependent.Validate explicit consent, retention, deletion, export, audit, and processor disclosures.
Platform scopeContextIQ is locally verified, not production certified.Sequence hosted acceptance behind paid wedge evidence.

Investor contact

Review the evidence, roadmap, and capital plan.

Register interest to request a focused investor conversation. This is not a public securities offering, and the website makes no forecast or return claim.