Solution | Infrastructure Startups

Prioritize technical accounts by long-term revenue potential, not just near-term activity.

psi* helps infrastructure companies research technical accounts, source the right people, and qualify them against historical ramp patterns and revenue potential. The result is a pipeline that shows which customers are worth winning today and which ones will matter a year from now.

Reusable research context stays attached to the account while the team watches LTV, CAC, and pipeline quality in the same operating system.

This is how technical GTM stops chasing noisy activity and starts prioritizing future value.

Workflow

Make technical account research a visible path to a better pipeline.

Keep revenue potential, research context, sourcing, and pipeline visibility inside one system instead of scattered tools.

  1. 01

    Historical revenue and ramp patterns

    Use prior customer ramp and activation data to understand who becomes valuable over time.

    future value model
  2. 02

    Technical account research

    Capture ICP fit, buyer language, product context, and technical signals once and keep them attached to the account.

    reusable research context
  3. 03

    Sourcing and qualification

    Use that context to find the right people and qualify accounts without restarting the work in a new tool.

    contextual sourcing
  4. 04

    Pipeline and LTV or CAC stats

    Show which accounts are valuable now, which are valuable later, and where the pipeline is actually stalling.

    honest pipeline view

What teams get

Research once
Keep the technical narrative, buyer context, and account logic attached to the same record.
Better prioritization
Focus the team on accounts with stronger long-term revenue potential.
LTV and CAC visibility
Bring pipeline quality and unit-economics signals closer together.
Apps plus stats
Give the team one surface for the workflow and the numbers behind it.

What the team sees

One system for the workflow and the numbers behind it.

Infrastructure GTM gets sharper when the account story and the value story stay in the same place.

Future-value scoring

Prioritize accounts by historical ramp, activation timing, and long-term revenue potential.

Reusable research context

Keep technical buyer language, product context, and account notes attached to the same working record.

Contextual sourcing

Source the right people from the same account view instead of handing the work to a disconnected tool.

Pipeline plus LTV and CAC

Read pipeline progress together with unit-economics signals so the team knows where value is building.

Products behind it

This solution resolves into Agentic App Builder and Ontology.

Product

Agentic App Builder

Use Agentic App Builder to shape the research, sourcing, and qualification surface your team actually works from.

Open Agentic App Builder

Product

Ontology

Use Ontology to model ramp patterns, account value, and pipeline stats from the revenue data underneath the workflow.

See Ontology

Next step

Build the apps and stats that help your team land the right customer today and the customer that will be valuable in one year.