Retention research lab for founder-led SaaS

Know which customers are slipping before churn becomes a decision.

OrthancIQ's Brain Engine studies your product, customer behavior, billing, support, CRM notes, and founder context to build a living retention model for your company. Every morning it shows which accounts are drifting, why the evidence matters, and where a founder touch can still change the outcome.

Request setup access See the system

40+custom signals

5evidence agents

7churn mechanisms

Expected saved revenue

$128,400

Champion signal

Inactive 19d

Daily Risk Inbox · Fri Jun 6

Live

Revenue at risk

$140k +$22k

Accounts flagged

7 3 critical

Recoverable today

$96k 68%

#AccountHealth stateValueMain evidence

Maya Chen

Workflow owner · 14 seats

Recoverable

$42kValue

Core workflow drop + owner inactive

Book recovery call

Recovery potential68%

Evidence

9 signals · workflow runs −61% · Maya last seen 19d

Suggested founder action

Re-onboard Maya around the export workflow she originally adopted.

Built for founder-led B2B SaaS · Private Rollout

Product docs Usage events Billing history Support notes CRM context Founder knowledge

The founder problem

Your dashboard shows activity. It does not tell you whether the relationship is getting better.

Logins, events, and ticket volume are useful, but they miss the uncomfortable questions: did the customer reach the outcome they bought you for, is the champion still pulling the workflow forward, and has the decision to leave already happened?

Activity is not commitment

A customer can look active while quietly abandoning the workflow, habit, or value moment that made the product matter.

Usage is not value

Raw events cannot tell you which behavior predicts renewal. OrthancIQ separates motion from meaningful progress.

Risk is not universal

A fixed health score cannot understand how your product creates value. OrthancIQ builds the signal catalog around your actual business.

Method

How OrthancIQ turns scattered customer evidence into a daily decision.

Bring the context

Upload or connect product docs, event dictionaries, onboarding material, support history, CRM notes, billing, and usage.

Map how value happens

OrthancIQ identifies personas, workflows, value moments, failure modes, and the evidence that actually predicts renewal.

Build the signal catalog

The Brain Engine turns the value map into product-specific signals and scores each one by how directly it supports a diagnosis.

Estimate risk and recovery potential

The model estimates risk, timing, confidence, cause, and whether human intervention can still move the account.

Publish the Daily Risk Inbox

Each morning, founders see the accounts worth acting on, ranked by expected saved revenue and supported by evidence.

Brain Engine

The customer-risk brain built around your product.

The Brain Engine is OrthancIQ's reasoning layer. It learns how customers succeed in your SaaS, watches when relationships drift from that path, and ranks intervention by expected saved revenue instead of a generic red-yellow-green score.

Intelligence field

Scattered customer evidence collapses into one reasoning system.

Usage, billing, support, CRM, product docs, and founder context arrive from different systems. The Brain Engine turns that noise into a living model of value, drift, risk timing, and recovery potential.

6evidence planes

42custom signals

1decision brain

Data AgentBoundary locked

Coverage72%

assembling evidence

Brain Engine

Usage Billing Support CRM Docs

Company context

raw inputs

Customer Value Map

value model

Signal catalog

custom evidence

Customer state

relationship

Risk timing

time-to-risk

Saveability

recovery potential

Decision inbox

founder action

Customer Value Map

The Brain Engine maps the workflows, outcomes, dependencies, and proof points that make customers renew.

Signal compiler

It generates product-specific retention signals from your own model, not imported dashboard templates.

Evidence confidence

Each signal is weighted by how directly it supports the diagnosis and recommended action.

Customer state estimate

A hidden state that tracks whether the relationship is moving toward realized value or decay.

Risk timing

A time-aware estimate of when churn pressure is likely to become hard to reverse.

Intervention priority

A ranking that combines risk, confidence, commercial value, and recovery potential.

Churn hazard · survival model

Estimated probability of churn pressure over the next 90 days

Maya Chen Cohort baseline

Risk gap <----> The gap between Maya and the baseline shows how far her relationship has moved from normal customer drift. A wider gap means stronger evidence that something changed.

Customer state

ChurnRealized value

MMaya Chen▼ drifting −14%

CCasey Morgan▲ recovering +9%

RRiya Kapoor▲ at value

Each account is treated as a moving state estimate. OrthancIQ watches the direction of travel, not a single snapshot.

The visible product

The point is not to panic faster. It is to intervene where action can still work.

The customer with the largest contract is not always the highest-priority save. OrthancIQ separates value at risk from recovery potential, then ranks the accounts where a founder touch is most likely to preserve revenue: expected saved revenue × recovery potential × confidence.

Naïve dashboard order

Sorted by contract value alone — it pulls the founder toward the loudest number, even when the account may already be gone.

$80kHannah LeeLow leverage

$42kMaya ChenRecoverable

$18kNoah PatelCritical

OrthancIQ intervention order

Sorted by expected saved revenue — the accounts where evidence suggests action can still change the outcome.

$29kMaya Chen68% recoveryAct now

$10kNoah Patel54% recoverySoon

$9kHannah Lee11% recoveryPark for now

Why this is not another dashboard

Dashboards describe the past. OrthancIQ tells you what to do next.

Capability

Generic analytics

Dashboard

Brain Engine

OrthancIQ

Understands product value

Counts events

Models value realization

Signals

Fixed health score

Custom signal catalog

Explanation

You interpret charts

Cause and evidence per account

Model

Static thresholds

Risk, timing, and recovery potential

Prioritization

Raw risk or revenue

Expected saved revenue

Improves over time

Manual tuning

Calibrated from outcomes

What OrthancIQ catches

The failure modes that hide inside normal-looking dashboards.

Silent churn before renewal

Spot when a customer relationship is degrading weeks before the renewal date forces the conversation.

Value never materialized

Find customers who adopted the product but never crossed the threshold into durable value.

Champion disappearance

Detect when the person who understood the product leaves, disengages, or stops pulling the team forward.

Saveable vs. already decided

Separate accounts where intervention has leverage from accounts where the decision is probably complete.

Missing instrumentation

Expose the value moments your current analytics cannot see, then define the next events worth tracking.

Board-ready retention narrative

Explain churn risk as mechanisms, evidence, and calibrated intervention instead of loose anecdotes.

Security & trust

A model is only useful if your team can trust the data boundary.

OrthancIQ analyzes sensitive customer evidence: usage, billing, support, CRM, and product context. The platform is designed around tenant isolation, encryption, auditability, and explicit rules for how model artifacts are created, retained, and deleted.

SOC 2
READY

SOC 2-ready

Controls mapped

AES
256

Encryption

TLS + AES-256

Read the security overview

Tenant isolation

Every customer's data is logically isolated by design.

Encryption

TLS in transit and AES-256 at rest.

Audit logs

Access and key actions are logged for review.

Retention & deletion

Defined retention windows and deletion support on request.

Pricing

Start with setup access. Move into the inbox through Private Rollout.

The Brain Engine is still in private build. Begin with setup access, connect your first evidence set, then run the free Churn Risk Audit once the data path is ready.

Open now

Free Churn Risk Audit

For founders who want to connect the first evidence set before a churn-risk read.

Setup before dossiers