ContentAtlas • Early Access

ContentAtlas. Solve Data for AI.

The unified ingestion and AI operations layer that turns chaotic files and exports into governed, query-ready assets—without rebuilding your stack.

Core Solution

Content Atlas

ContentAtlas is our ingestion and AI ops engine. It consolidates PDFs, CSVs, archives, and app exports into a single, governed Atlas that ships Postgres-ready tables with zero bespoke ETL.

With schema-on-demand pipelines, duplicate defense, and an LLM-powered assistant, teams can ask questions in plain English, get the SQL, and ship answers across ops, finance, and product without hand-holding the data team.

What Makes Content Atlas Different

Schema-On-Demand Pipelines

Define mappings once and let the platform spin up destination tables automatically. Bring spreadsheets, JSON payloads, or XML exports—Atlas structures them all.

LLM-Powered Querying

Business users ask questions in plain English and receive clean SQL-backed answers, complete with the executed query and conversational follow-ups.

High-Volume Throughput

Optimized chunking, parallel duplicate detection, and streaming CSV exports push up to 10,000 rows per query through the public API.

Backblaze B2 Integration

Natively pull large source files, detect mappings, and launch imports without manual downloads or temporary storage.

Guardrails and Transparency

Every AI-generated insight ships with the exact SQL, execution timing, and row counts. Protected system tables and read-only execution keep your warehouse safe.

Operator-Centric Console

An interactive CLI and Refine-powered web UI give analysts tooling they actually enjoy using, with thread-based memory for natural conversational analysis.

Outcomes Teams See

Faster Onboarding

Launch new data sources in hours by cloning existing mappings and letting Atlas scaffold schemas automatically.

Cleaner Data, Fewer Mistakes

Row-level duplicate checks and type mismatch reporting surface data quality problems before they hit production dashboards.

Self-Service Insights

Product managers can answer “what happened yesterday?” without waiting on the data team—while still returning governed SQL results.

Reduced Engineering Load

Developers stop building one-off ETL scripts and instead focus on business logic while Atlas handles ingestion, validation, and analytics access.

Blueprint 2025

Building ContentAtlas: AI-Driven Engineering for 2025

See how we designed ContentAtlas to ingest any source, defend data quality, and surface SQL-backed answers. Use it as a playbook for your own AI data foundation.

  • Schema-on-demand ingestion with auto-validated mappings.
  • Duplicate defense and lineage-aware exports for trust.
  • LLM assistant that answers with SQL, not guesswork.

Built for Growth

Composable APIs: Public endpoints for table discovery, schema inspection, and natural language queries make it easy to embed Atlas into custom workflows.

Secure by Design: API keys are hashed, rate limited, and revocable. The platform blocks destructive statements and enforces schema visibility.

Deployment Flexibility: Whether you run Atlas in Docker or scale across regions, the FastAPI core and PostgreSQL backbone are ready for production hardening.

Perfect For

  • Revenue operations teams consolidating ad network exports into a central warehouse.
  • Agencies needing rapid customer onboarding with reusable mapping templates.
  • SaaS platforms offering analytics add-ons without rebuilding a BI stack from scratch.
  • Data consultancies that want to deliver AI-assisted insights alongside managed ingestion.

What You Can Build Today

Client Onboarding Playbooks: Drop a raw Facebook Ads export, let Atlas auto-detect the schema, review the mapping, and push a normalized table live in PostgreSQL within the hour.

Self-Service KPI Digests: Equip your success team with the query endpoint. They can ask “Show me spend by channel for Acme Inc last quarter” and instantly download the matching rows.

Data Quality Watchdogs: Schedule nightly imports that flag duplicate customer records and alert ops teams before bad data hits downstream reporting.

Get Started

  1. Stand up the FastAPI service and PostgreSQL database via Docker or your preferred infra.
  2. Generate API keys for each integration partner or internal tool.
  3. Configure mappings, import historical files, and invite business stakeholders to the console.
  4. Promote your new AI-ready data hub while Atlas keeps the pipelines flowing.

Automation Suite

Unburden.cc

Closing the data gap is the first step. The next is automating growth. Unburden.cc is our secondary solution that generates high-quality, SEO-optimized blog content to fuel your marketing and establish you as a thought leader.

It's a key part of our long-term strategy: to provide a suite of AI tools that automate as many aspects of your business as possible, helping you compete and grow in an increasingly competitive environment.

Learn More
Content Automation

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