The Align Growth Global (AGG) Platform Intelligence Framework produces one of four classifications: Accelerate, Reposition, Triage or Monitor. Each is specific enough to act on — built to drive growth, protect competitive position and catch platform shifts before they become portfolio problems.
The AGG framework draws on six input categories, each contributing something that research tools, market reports, and AI-assisted analysis cannot produce. The combination is what makes the output specific rather than directional.
Founders and advisors who operated inside the platforms being assessed — not as observers or partners, but as the people who ran the programs, sat in product planning meetings, and understood the gap analysis from the inside. That knowledge cannot be found in a database.
Active relationships with the product, partnership, and ecosystem organizations inside major platforms — not at the partner program level, but at the level where roadmap and ecosystem decisions are made. Maintained continuously, not established when an engagement begins.
Understanding of where platforms are heading before they make public announcements, built from the network of relationships and pattern recognition that comes from having been inside these organisations during prior transitions. The public roadmap is not the roadmap.
Each platform era produced the same dynamics in a different form. The ability to recognize those patterns as they form — not in retrospect — is the analytical lens the AGG Platform Intelligence Framework runs on.
AGG has built a structured AI-native monitoring infrastructure that tracks platform signals continuously: roadmap announcements, vertical product launches, programme changes, hiring patterns, acquisition activity. The public signal layer that feeds our private intelligence layer.
AGG has built proprietary AI-driven tools that assess, score, and classify platform position across every layer of the stack — purpose-built for venture capital firms and their portfolio companies. The output is specific, evidence-based, and immediately actionable.
The diagnostic applies AGG's six inputs across three purpose-built stages. Each stage builds on the last to produce a classification specific enough to act on. The instrumentation, scoring, and decision logic behind each stage is AGG-developed and exists nowhere else in the market.
Where does this company sit in the AI-Era Platform Stack across hyperscaler infrastructure, enterprise SaaS, AI foundation models, and vertical cloud platforms? Which direction is pressure arriving from, and which platform forces are primary versus secondary? Position is established before any relationship assessment begins.
Informs Stage 02→
How does the company relate to the platforms in its position and are those relationships structurally durable? Assessed across four distinct modes: Sell-To, Sell-Through, Build-On, and Build-Into. The combination of active modes and the misalignments between them is the primary output of this stage.
Informs Stage 03→
The final stage applies a structured set of dimensions that complete the picture assessing roadmap exposure, ecosystem depth, distribution reality, and narrative coherence simultaneously. Together they produce the evidence that determines the classification.
Produces the Classification
Each classification is a structural statement about platform position, not about current revenue performance. Every classification is supported by specific, sourced evidence — and each one points directly to a set of actions. The classification doesn't conclude the work. It defines what the work is.
Platform relationships and go-to-market motion are already pointing the right way. The work is removing friction from what is working, not changing direction. Flows directly into AGG services for portfolio companies.
A specific move in platform positioning, distribution model, or go-to-market motion will determine whether this company accelerates or gets absorbed. AGG maps the move; leadership owns the decision.
AGG identifies precisely what has changed, what options remain, and what the decision framework looks like from here. Ongoing engagement is out of scope. The honest output is clarity, delivered quickly.
Platform dynamics are active but the timeline is longer. AGG tracks signals and re-evaluates as vertical roadmaps accelerate. No immediate engagement, a scheduled reassessment is the right response.
The classification is the beginning of the engagement conversation, not the end of it.
Get in touch to start the conversation →Whether you are a venture capital firm assessing your portfolio or a portfolio company navigating the transition directly, AGG has a specific engagement path. The classification determines the urgency. Your role determines the entry point.
AGG delivers the diagnostic findings and a set of specific strategic options. The investment firm and portfolio company evaluate and execute independently. AGG provides the results and recommendations. The client makes the decisions.
AGG works alongside the VC firm's Head of Platform and operating partners, complementing the fund's existing growth infrastructure rather than replacing it. AGG brings the operator-led Platform Intelligence that the firm does not have internally.
AGG provides the strategic brief and execution playbook. The company's own commercial teams own the execution: platform introductions, co-sell activation, ecosystem positioning. AGG advises. The company acts.
Full AGG engagement. Managing Directors lead the execution across platform positioning, go-to-market redesign, ecosystem development, and revenue operations — the full commercial stack. Measured against outcomes, not deliverables.
AGG provides Platform Intelligence Framework diagnostics for venture capital firms and their portfolio companies. The diagnostic produces a classification. The classification defines the path.