NexDiscovery Intelligence Platform
From raw spreadsheets to verified, board-ready business insights — fully automated.
Client data files & API connectors
CSV and Excel exports from operational systems or API connectors — no manual prep required.
Multi-agent pipeline
Seven specialized agents plan, query, verify, and enrich every insight.
Trusted insights
Verified findings with charts and context — ready for leadership decisions.
The business challenge
Organizations sit on rich operational data, but turning it into reliable insights takes months of expertise time — and results are hard to trust at scale.
- • Manual data cleaning and schema mapping
- • Ad-hoc SQL and one-off dashboards
- • No automated data quality checks
- • Lack of time & resources to explore and correlate data
- • Insights that aren't verified against source data
- • Weeks per analysis cycle
- • Automated ingest, normalization, and relationship mapping
- • AI-generated themes and investigative questions to find insights
- • Automated data quality checks
- • Every claim verified against query results
- • Repeatable pipeline — run new scenarios on demand based on your context
How the platform works
Three orchestrated stages transform raw files into enriched insights. Each stage runs automatically on a single server, inside secure Docker containers.
Raw Data
CSV / Excel / API
Smart Sampling
Load into database
Graph Map
Structured store
Schema Analysis
Map relationships
Intelligence Pipeline
7 AI agents → Insights
Three deployments, one end-to-end flow
Each stage is a self-contained workflow triggered from a central operations dashboard. Stages run in sequence; outputs feed the next.
Database Ingest
What: Loads data & file smart samples into a single analytical database.
AI: None — fast, deterministic, repeatable.
Output: Structured raw database ready for analysis.
Schema Analysis
What: Discovers tables, columns, relationships, and business meaning.
AI: LLM interprets column semantics and join paths.
Output: Enhanced relationship graph (the map of the data).
Intelligence Pipeline
What: Runs seven specialized agents to produce verified insights.
AI: Task-specific agents with validation gates.
Output: Themes → questions → SQL → insights → enrichment.
Multiple A.I agents, each with a clear job
Agents run in a fixed order. Every LLM output passes through deterministic validation — so insights are checked against the actual data, not just generated text.
Builds business context from the schema graph and analysis goal
Cleans data, fixes types, validates joins, profiles quality
Generates analytical themes aligned to the business directive and data map
Creates investigable questions per theme
Plan and executes a business and technical plans against the database and assumptions
Produces board-ready insights and verifies every claim
Enriches insights with additional contextual data
Why leadership can rely on the output
- • Verification gates: Agent 5 checks every numeric claim and chart against query results
- • Deterministic validation: Themes, questions, and SQL plans are validated before proceeding
- • Full audit trail: Every run produces timestamped artifacts (plans, queries, reports)
- • Resumable runs: Skip completed stages and rerun only what changed
"Find the strongest patterns that explain why some sites sustain engagement and others don't."
- • Site performance
- • Staffing
- • Financial sustainability
- • Donor engagement
- • Youth programs
- • Marketing ROI
Six pre-built presets — same pipeline, different business questions.
Built for operational simplicity
The entire platform runs on a single VM. No cloud sprawl containers are pulled once and reused.
Orchestration
Workflow orchestration with a web dashboard for triggering and monitoring runs.
Data Mapping and Graphs
Two production container images — pipeline and schema analysis — version-pinned for stability.
Data Storage
Fast, file-backed analytical database. No separate database server to manage.
Raw data in. Verified insights out.
NexDiscovery Intelligence automates the full journey from client spreadsheets to leadership-ready findings — with AI agents that plan, query, verify, and enrich every result.
Client CSV/Excel& API connectors
Ingest
Map schema
Multiple AI agents
Verified enrichedinsights