- 01Associates individual product users with an account
- 02Enriches your customers and their busiensses/needs.
- 03Detects product usage and frequency.
Product | Ontology
Startups that have digital twins will beat those that do not.
When you give your company a body and an environment to act it in you get superpowers.
Every module represents core operational aspects of your business, the deicison and actions it took to get these results, and the Ontology maps your data from the past to the current day. psi* uses this data to help predict the future of your organization and optomize your business to get the best outcome.
Ontology modules
Build your digital twin while doing business critical work today.
Ontology modules take your data and convert it into real work and operational intelligence. Your business has messy data — psi* is a data platform first that ingests messy production data into facts and resources.
- 01Capture all interactions across every imported channel
- 02Design your own categories from raw data streams
- 03Identity reconciliation, events, touchpoints, marketing hits, sales outreach in one module
- 01Rule-based account ownership and credit tracking
- 02Split attribution and enforce territory boundaries
- 03Resolve disputes with transparent evidence
- 01Combine CDP stream with customer data and marketing spend
- 02Extract out the features of a good ICP/Campaign
- 03Attribute campaigns to actual customer acquisition
- 01Design and impute contracts with customers and vendors over production data
- 02Accrual-based revenue numbers from complex agreements with daily accrual accruacy
- 03P&L at an individual customer detail for each product/service they use
- 01Fair credits with a transparent account specific payout ledger
- 02Reconciliations and clawbacks are easy to execute
- 03Immutable history — every change is a new claim over the old one
- 01Management ledger lines classified by statement line, cost center, and department — per customer
- 02Computed finance metrics like contribution margin, S&M efficiency, and runway months
- 03Finance controls with open/passed/warning/failed status on every claim and ledger line
Ontology operating path
How to use Ontology: replicate, normalize, reconcile, use.
The psi* data pipeline lands your raw production data into a replica db for your company, the you normalize it to your business need, then this data is consumed by a module, and creates data surfaces your team & agents can actually use.
Ontology data flow
How the revenue module works: visual
How the revenue module works:
source systems → replica
Goal: land raw production data into a managed replica
connect_source('product_postgres')
connect_source('elasticsearch')
connect_source('salesforce')
connect_source('marketo')
replicate_into('replica_db')
self_heal_on_drift()
1. Replicate Data visual
1. Replicate Data
source systems → replica
Goal: land raw production data into a managed replica
connect_source('product_postgres')
connect_source('elasticsearch')
connect_source('salesforce')
connect_source('marketo')
replicate_into('replica_db')
self_heal_on_drift()
2. Normalize (Create a Shim) visual
2. Normalize (Create a Shim)
raw data → business contracts
Goal: turn system-shaped data into business-shaped data
normalize_contracts(replica_db)
map_product_usage(replica_db)
resolve_account_relationships()
apply_lifecycle_rules()
3. Reconcile visual
3. Reconcile
contracts → accrued revenue
Goal: produce finance-grade revenue numbers
reconcile_credit_cards()
accrue_revenue(customer_level)
compute_attribution_inputs()
generate_compensation_inputs()
4. Consume and Use visual
4. Consume and Use
clean surfaces → GTM operators
Goal: expose stable business data to the team
publish_view('customer_reporting')
publish_view('product_usage')
publish_view('revenue_and_contracts')
publish_view('sales_analytics')
psi* robust data pipeline
Strong Data Decoupling of Operations and Engineer is a Requirement for Modern Startups.
Changing a data model for your product should only effect the product itself. Having brittle pipelines that break 20 agents and 10 dashboards and 5 processes on change will slow you down.
GTM decouples from engineering
Engineers can keep evolving production schemas while GTM operates from a stable business data layer.
Self-healing pipeline
Replica sync, repair, refresh, and runtime diagnostics keep the ontology current without constant manual cleanup.
Modules keep working
psi*'s modules stay available while production schemas change, so your team can keep using its analytics, workflows, and operational tools throughout the transition.
Better Operational Excellence
01
Engineering systems
mutable- Change your production data models at will
- psi*'s change data capture system absorbs fundamental schema changes without breaking downstream operations
- Keep your engineering team focused on product while psi* handles analytics and operations
02
Inside psi*
stable- Data pipeline failures trigger a downstream pause until the error is resolved
- Contracts and shims adapt as production data models evolve
- Downstream modules stay truthful, with issues easy to detect and resolve
Ontology and finding the critical path for your company: the Quant approach
What will the world of startups look like in 5 years?
startups will be in extremely fierce competition because AI will reduce the barrier to entry on every product/service you could offer.
S tier founders will use programmtic techiques to optomize their thinking/decision making ability and greatly increase the likelyhood of outlier success for their startup. Standard AI models cannot be used for this because the advice is the same for all competitors; they will use something like psi* instead
Giving your company superpowers
Public companies have Quants look over the economic environment and business fundamental to calculate a business' value. psi* does those same caluations and takes these results and proactivly finds the best route forward for your company.
SurfacedataSignal
Ingestproduction datacomplete, self-healing data layer
Modelcontracts, usage, customer identityyour core business ontology
Quantifyrevenue, attribution, compensation, marginsfinance-grade metrics per customer
Decidescenario analysis, runway, efficiencycritical path recommendations
psi* and the AlphaGo moment for business
Business velocity has never been fasterYou need to predict where your industry and customers are going and be there first
Envriroments are getting increasingly complexFrom competition to economic shocks companies aren't pricing their risk correctly
Business Durability is harder than every to predictYour customers' needs can quickly eclispe your product & they may build it themselves.
Founders are streched too thinMore cognitive demands are being put on the executive to weight all outcome against all capabilities
Experimentation is still expensiveThe wrong bet can sink your company. You need to be right sometimes
The critical path forward is programitic in nature, Move 47psi* addresses all of these issues by building a quantitative model of your business and employing classic ML techniques to plot the most efficent path forward (Starting with GTM and customer acquisition)
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