# Eclipse by AnalyticLabs

> Eclipse is the AI intelligence layer for business data. Connect your tools, ask questions in plain English, and get instant operational insights. Now in early access.

## How It Works

Eclipse has a three-layer architecture:

1. **Your Data Model**: Eclipse ingests your structured data sources alongside documents, emails, PDFs, and other unstructured content — building a unified model across every data type. A connector factory SDK backed by 19,000+ APIs dynamically generates connectors for ecommerce platforms, ad networks, analytics tools, accounting software, data warehouses, BI tools, and document repositories. No data migration required.

2. **Business Context**: Eclipse's knowledge graph captures context from both structured metrics and unstructured content. Your KPIs, OKRs, jargon, thresholds, and the institutional knowledge buried in documents and conversations. That context persists and compounds over time.

3. **The Intelligence Layer**: Eclipse Chat runs semantic search across all your sources — structured databases and unstructured documents alike. Ask questions in plain English and get instant, data-backed answers with supporting metrics, visualizations, and source citations.

## Use Cases

### Operations
Track fulfillment performance, inventory alerts, and operational bottlenecks. Example: "Why did returns spike last week?" → Root-cause breakdown showing SKU-level defect data, regional fulfillment delays, and 3PL impact analysis.

### Marketing
Monitor campaign ROI, channel performance, and customer acquisition costs. Example: "How does our Meta spend look for this flight?" → Pacing analysis showing projected underspend, revenue vs target, and recommended adjustments.

### Finance
Board-ready revenue views from live data. Example: "Generate a Q4 revenue overview" → Interactive dashboard with total revenue, gross margin, channel breakdown, and YoY comparisons. Clean, shareable views without assembling screenshots.

### Founders
Get a complete business overview without digging through multiple dashboards. Example: "Give me my Monday morning brief" → Week-ahead snapshot covering revenue pacing, CAC trends, inventory alerts, and open escalations.

### Ecommerce
Unified view across Shopify, Amazon, Stripe, and ad platforms. Example: "What's driving sales this week?" → Revenue breakdown by product launch impact, conversion rate trends, and AOV analysis.

### Data Teams
Natural language access to warehouse data. Example: "What are the most common report requests this month?" → Analysis of 142 automated data requests with estimated analyst-hours saved, categorized by request type.

## The Intelligence Multiplier

Frontier AI models are powerful individually, but a single model for every task is like hiring one person for every role. Eclipse orchestrates the right model for each stage of the data pipeline — so every answer is faster, more accurate, and more cost-effective.

### The Single-Model Trap
Most AI tools use one model for everything. That means the same quality for a $0.001 classification as for a deep strategic analysis. Eclipse matches each task to the optimal model automatically.

### AI Model Orchestra
Eclipse uses six specialized AI models, each matched to what it does best:

1. **Classification & Routing** — Ultrafast models classify incoming data, route queries, and handle high-volume extraction in milliseconds
2. **Synthesis & Reasoning** — Mid-tier models synthesize across sources, generate summaries, and handle analytical queries
3. **Deep Analysis** — The most capable models tackle complex multi-step reasoning and strategic questions
4. **Audio & Multimodal** — Specialized models process meeting recordings, voice notes, and multimodal content
5. **Precision Embeddings** — Purpose-built embedding models create high-fidelity vectors for semantic search
6. **Generation & Drafting** — Optimized models produce reports, briefs, and communications grounded in verified data

### Enterprise Intelligence Pipeline
Every question travels through a 10-stage pipeline optimized for accuracy, speed, and security:

1. **Ingest** — APIs, webhooks, file uploads, and a connector factory SDK backed by 19,000+ APIs
2. **Transport** — TLS encryption and tenant isolation
3. **Normalize** — Schema mapping, deduplication, and entity resolution
4. **Store & Index** — Structured storage with row-level security
5. **Vectorize** — Hybrid keyword and semantic search
6. **Extract & Synthesize** — AI-powered entity and pattern extraction
7. **Govern** — Retention policies, TTL rules, and audit trails
8. **Build Knowledge** — Cross-reference validation and cumulative intelligence
9. **Deliver** — Dashboards, scheduled briefs, and proactive alerts
10. **Chat & Learn** — Multi-model routing with feedback loops

### Trust & Evidence
Every Eclipse answer includes:
- **Confidence Ratings** — Know when to trust and when to verify
- **Source Attribution** — Click through to the original data point
- **Audit Trail** — Full history of every query, answer, and data source consulted

## Security & Privacy

92% of leaders cite data privacy as their top AI concern. Eclipse is architected for enterprise trust from day one:

- **Private Deployment** — Runs inside your infrastructure or dedicated cloud. No shared tenancy, no cross-contamination risk.
- **Tenant Isolation** — Row-Level Security enforces strict boundaries at the database level. Every query scoped to user permissions.
- **No Training on Your Data** — Uses retrieval-augmented generation (RAG), not fine-tuning. Your data informs answers in real time but never trains any model.
- **Data Protection by Design** — AES-256 encryption at rest, TLS 1.2+ in transit, row-level tenant isolation, and configurable data retention policies. Built to support compliance requirements like PIPEDA and GDPR.
- **Source Attribution** — Every answer cites the original document, row, or data point. Click through to verify.
- **Audit Trails & Data Lineage** — Full history of every query, answer, and data source consulted. Built-in lineage from ingestion to insight.

## Market Context

- 90% of enterprise data is unstructured (IDC)
- 77% of leaders cannot extract answers from unstructured data (Qlik / ETR Benchmark, 2024)
- Only 16% have a purpose-built tool for unstructured data (Qlik / ETR Benchmark, 2024)
- 96% of Global 2000 companies are exploring GenAI for unstructured data (Qlik / ETR Benchmark, 2024)

## Integrations

Eclipse's connector factory SDK is backed by a registry of 19,000+ APIs with 400K+ endpoints, dynamically generating new connectors on demand. It connects across ecommerce, payments, advertising, analytics, CRM, accounting, data warehouses, and open data APIs. Key platforms include:

**Ecommerce**: Shopify, Amazon
**Payments**: Stripe
**Advertising**: Google Ads, Meta Ads
**Analytics**: Google Analytics
**CRM & Marketing**: Klaviyo, HubSpot
**Accounting**: QuickBooks, NetSuite
**Data Warehouses**: Snowflake, BigQuery
**Transformation**: dbt
**BI Tools**: Power BI, Looker, Metabase

## Why ALDC

### Enterprise Intelligence Flywheel
Eclipse is the only platform that combines continuous data ingestion, pattern analysis, entity synthesis, and narrativized chat into a single intelligence flywheel. Every data source connected, every question asked, and every session completed makes the system smarter. The flywheel stages:

1. **Ingest** — Continuous data ingestion via connector factory SDK (19,000+ API registry)
2. **Analyze** — Pattern recognition across all connected data
3. **Synthesize** — Entity resolution and knowledge building
4. **Narrate** — Contextualized answers through natural language chat
5. **Learn** — Feedback loops that refine future responses
6. **Compound** — Each cycle makes the next one more valuable

### Competitive Landscape
Eclipse occupies a unique position in the market — combining integrated data intelligence with generative AI capabilities:

- **Glean**: Strong enterprise search with 100+ connectors and knowledge graph. Focused on finding existing information across enterprise apps.
- **Microsoft Copilot**: Deep Microsoft 365 integration. Excellent productivity assistant within the Microsoft ecosystem.
- **ChatGPT Enterprise**: Powerful conversational AI with strong reasoning. Per-session intelligence without persistent organizational knowledge.
- **ALDC Eclipse**: The integrated flywheel — continuous ingestion, entity synthesis, narrativized chat, and automated reports. Model-agnostic architecture that compounds with every interaction.

ALDC's differentiation: a model-agnostic architecture that routes each task to the best available model, an integrated pipeline that compounds intelligence over time, and governed semantic layer ensuring every answer is traceable to definitions you control.

## Pricing

### Managed Plan
- Working from day one — outcomes in weeks, not months of configuration
- Custom data model designed for your business
- ROI framework — measurable KPIs defined before engagement
- KPIs, metrics, and business context configured
- Model evolves as your business does
- Eclipse Chat, dashboards, and proactive insights
- Dedicated success team — we bridge the expertise gap (89% of orgs lack AI implementation staff)
- Contact for pricing: https://cal.com/eclipse-analyticlabs

### Self-Serve Plan
- Free during early access
- Connect your existing warehouse or data model
- Full control over your definitions and logic
- Usage-based pricing: only pay for what you use
- Eclipse Chat, dashboards, and proactive insights
- Scale up or down with no commitment

## Legal

### Privacy Policy
AnalyticLabs Data Consulting Inc. operates Eclipse and is committed to protecting user privacy. Key points:
- Data collected: account information, usage data, device information, and connected business data sources
- Connected business data is used solely to provide insights and remains under user control
- Data is encrypted in transit (TLS 1.2+) and at rest (AES-256), hosted on Microsoft Azure
- Data deleted or anonymized within 90 days of account closure
- Users have rights to access, correction, deletion, and portability of their data
- Compliant with PIPEDA (Canadian privacy law)
- No third-party advertising cookies or cross-site tracking
- Contact: privacy@aldc.io
- Full policy: https://analyticlabs.io/privacy.html

### Terms of Service
Eclipse is licensed under an End User License Agreement. Key points:
- Non-exclusive, non-transferable license for internal business use
- Users retain all rights to their data; ALDC processes data solely to provide the Service
- Service provided "as is" without warranties
- Governed by the laws of Ontario, Canada
- Contact: legal@aldc.io
- Full terms: https://analyticlabs.io/terms.html

## About AnalyticLabs

Eclipse is built by AnalyticLabs, a data analytics and AI company.

- Website: https://analyticlabs.io
- Product login: https://eclipse.analyticlabs.io
- Book a Demo: https://cal.com/eclipse-analyticlabs