papermap

Use the interface for business users to perform deterministic AI analytics, transforming raw, siloed data into instant, auditable business intelligence—without hiring data engineers.

Outdated reporting methods and fragmented tools fail to keep pace with the speed of business. Mid-market organizations (driving $10M–$100M in revenue) consistently leave 5-10% of revenue on the table every year due to reporting lags and data blind spots.

Yet legacy data stacks (Snowflake, Fivetran, Looker) require $200k+ in overhead and a centralized engineering team. This forces 95% of business operators to act as "Spreadsheet Heroes"—spending hours manually downloading and stitching CSVs, which creates a massive "Decision Latency Tax" that weakens your competitive edge.

• Papermap AI automatically connects to your disparate data sources (Shopify, HubSpot, Stripe, Square, SQL), unifies the schemas, and builds a centralized, secure intelligence layer for your entire organization.

• Delivers instant, natural-language query execution via an autonomous AI agent that writes deterministic SQL/Python code in a secure sandbox—ensuring 100% accurate financial and operational math, completely free of LLM hallucinations.

• Automatically creates real-time, shareable dashboards, visual charts, and automated workflow triggers (e.g., "Flag low-stock SKUs and draft POs") tailored to your exact operational context and securely governed by enterprise permissions.

• Agentic AI autonomously executes the entire ETL pipeline, handles data cleaning, and adapts to your evolving business metrics without the need for manual ticket requests, rigid pipeline maintenance, or costly consultants.

Key Features and Capabilities:

• Eliminates the "Decision Latency Tax." Empowers non-technical operators to get answers in 30 seconds instead of waiting 48 hours for an overworked data team to fulfill a reporting ticket.

• Guarantees accuracy with "Glass Box" architecture. Delegates complex math to sandboxed executable code rather than probabilistic LLMs, ensuring enterprise-grade reliability for your most critical metrics.

• Eradicates manual "data janitor" work. Automates the ingestion, merging, and cleaning of multi-channel data, saving your operations and finance teams up to 80% of their weekly reporting time.

• Keeps your trade secrets secure. Processes queries within your secure Azure environment via enterprise APIs—your proprietary data is never used to train public foundational models.

Stop bleeding margin to data silos and reporting delays in your mid-market operations with Agentic AI — no expensive data engineering hires required.