How It Works

How Parse Works

Traditional BI takes weeks of SQL and data modeling. Parse uses autonomous agents to scan your commercial layer and surface root causes automatically.

{ logs: [...] }

[ events ]

<json/>

Raw Data

Parse Engine

✓ Churn Risk: 12 accounts

✓ Upsell Signal: $45k

✓ Root Cause: API Error

Clear Insights

Phase 1

The Connection

We map the "Commercial Truth" across your stack. Your data lives in isolated islands. HubSpot knows what was sold. Chargebee knows what was invoiced. Your Platform knows what is actually being used. Parse connects them to see the gaps.

30-Minute Setup

No complex data engineering or warehousing projects. Just authenticate your existing tools.

Read-Only Access

We verify credentials via OAuth/API. We never write to your database or touch production infrastructure.

The Commercial Layer

We focus specifically on the commercial data layer—orders, subscriptions, tickets, and usage—where order-to-cash insights live.

Parse Node

Read-Only / AES-256 Encrypted

Phase 2

The Agentic Core (The Engine)

Beyond SQL: The Multi-Node LangGraph System. We don't just run queries. We run reasoning loops. Parse utilizes a proprietary multi-node architecture to think like a human analyst, but at machine speed.

Context Enrichment Node

The agent gathers qualitative context (e.g., "What is the sentiment of this support ticket?" or "What feature is this Jira ticket blocking?").

Metric Generation Node

The agent identifies which metrics are relevant to the current anomaly (e.g., "Calculate churn rate specifically for users encountering Error 503").

Calculation Node

The agent executes the precise math across datasets to quantify the impact (e.g., "$12k MRR at risk").

Insight Generation Node

The agent synthesizes the findings into natural language, explaining why it matters and who should act.

Phase 3

The Output (Twin Engines)

We don't just report. We diagnose. Most tools stop at "Revenue is down." Parse tells you "Revenue is down because of a 3-week feature delay caused by technical debt".

The Shield

Risk Engine

Detects breaking patterns like churn precursors or rising refund volumes. Surfaces risks before they hit your P&L.

The Spear

Opportunity Engine

Detects expansion signals like unit drift or high feature usage. Finds the revenue hiding in your existing customer base.

Glass Box Transparency

Unlike generic AI wrappers, we show our work. Every insight comes with reasoning, confidence scores, and a raw trace to the source data.

Layer 1: Insight Card

Expansion Drift Detected

Layer 2: The Reasoning

"Client is using 120% of contracted units"

Layer 3: The Source

View Raw Invoice #3049 vs. Usage Log

Phase 4

Delivery

Push, don't Pull. You shouldn't have to log in to find out your business is bleeding.

Slack & Teams

Urgent risks (like a payment gateway failure) are pushed immediately to the right channel.

Weekly Briefing

A Monday morning digest summarizing what changed, what broke, and what to focus on.

Goal Tracking

Insights are automatically tagged to your quarterly OKRs, giving you a 3-week warning if you are trending off-track.

Phase 5

Enterprise Security

Your data is never used to train our models. We understand the compliance requirements of SOC2 and PCI environments.

No Training

Parse's reasoning engine is stateless and purpose-built. Your data stays yours.

Data Residency

Choose between EU or US hosting to keep data ingestion and storage in-region.

Encryption

End-to-end encryption in transit and at rest.

GDPR Compliant

AES-256

SOC2 Aligned

No-Training Guarantee

See the engine in action.

Connect your stack and get your first 3 insights in under 24 hours.

Read the Docs