JasonFlatford
Skip to content

Case study

Memnai — Unifying data ingestion & AI reporting

From raw documents to ready-to-use insights: Memnai captures any document, extracts and normalizes data, and lets teams ask questions in natural language to get trusted, shareable answers in seconds.

  • Pre-MVP
  • AI OCR + schema-aware extraction
  • LLM → SQL query engine
  • Interactive reports & exports

Problem & opportunity

Most organizations still rely on manual data entry and scattered tooling. Time is wasted, costs compound, and critical decisions wait on spreadsheets and email chains.

  • Office teams spend huge chunks of time on manual entry and reconciliation.
  • Per-employee cost of data inefficiency is measured in tens of thousands annually.
  • Adoption of automation and NL query is still low — a major efficiency gap.

Market opportunity

The AI-driven Intelligent Document Processing and data-entry markets are large and growing, with billions in spend shifting from manual workflows to AI-assisted automation.

Targeting document-heavy enterprises yields a sizable SAM; even single-digit market capture supports a venture-scale outcome.

Product overview

Unified platform

  • Ingestion: any document or file type.
  • Structured storage: cleaned & validated data.
  • AI query engine: NL → SQL with previews.
  • Visualization & export: tables/charts; CSV, Excel, PDF, Google Docs.

Ingestion pipeline

Documents, spreadsheets, PDFs, medical records, logs, and even audio/video transcripts are parsed by the Memnai ingestion engine (AI OCR, ML, schema-aware extraction), then stored in validated, structured form for BI and apps.

  • Business & legal docs: invoices, POs, contracts.
  • Forms & applications: intake, surveys; OCR/ICR for handwriting.
  • Structured files: spreadsheets & CSVs without copy-paste.
  • Unstructured & media: scans, medical records, logs, audio/video.

AI reporting & query

  • Natural language → SQL: describe a question; generate optimized SQL with result previews.
  • Enterprise security: role-based permissions and granular access controls.
  • Interactive reports & exports: tables/charts; export to common formats.
  • Impact: early adopters report large workload reductions.

Industry verticals

Finance & Accounting

Automate invoices, statements & claims; reduce errors and cost.

Healthcare & Life Sciences

Capture patient charts, prescriptions & lab reports with high accuracy.

Logistics & Manufacturing

Digitize work orders, manifests & shipping docs for faster operations.

Government & Public Sector

Streamline permits, tax filings and benefits applications to cut backlogs.

Retail & E-commerce

Automate POs, invoices and customer forms to improve agility.

Legal & Education

Extract key metadata from contracts, case files and academic records.

Representative target sectors for early GTM focus.

Competitive landscape

Capabilities & integrationEase of use
IDP vendors (document capture & extraction)Powerful but complex; limited analytics
Analytics platforms (dashboards, BI)Great for viz; weak on ingestion/extraction
LLM query tools (NL→SQL)Fast ad-hoc Q&A; no unified data layer
MemnaiIngestion + structured storage + NL→SQL + reporting

Memnai bridges three fragmented tool categories into one secure platform.

Business model & GTM

  • Subscription: freemium + monthly premium AI features.
  • Enterprise: per-seat licensing; on-prem for regulated teams.
  • API platform: developer APIs & integrations (Postgres, MySQL, etc.).
  • Community/content: demos, webinars, thought leadership.
  • Enterprise sales: focus on security/compliance-heavy industries.

Vision

Unlock your data through conversation — democratize access to organizational data with real-time, secure answers, without code or BI backlogs.

Powered by schema-aware AI and flexible deployment, we envision insights flowing freely across teams.

Pilot Memnai

We’re lining up early pilots in document-heavy environments (finance, healthcare, manufacturing). If you’d like to explore on-prem or private-cloud deployments, let’s talk.

Back to top ↑

Press Esc to close • ⌘K / Ctrl K to open