Decisions at scale, through one shared language of actions.

Model your data, rules, workflows, and guardrails so decisions can be automated — without losing traceability or control.

See how information becomes action

Ingest
Structure
Reason
Review
Act

Internet-Facing Ingestion

External Data Sources

Web Datanews, social
APIsthreat intel, market
Third-Party Apps

Data Ingestion & Normalization

Data Collectors
ETL Pipelines
Cleaning & Norm.
Format Conversion
⌄

Ingested & structured data

Ontology / Semantic Intelligence Layer

Knowledge Graph
Ontologiesschema, definitions
Linked Data
Semantic Inference
⌄

Explainability · Context · Governed RAG

Protected Intelligence Environment

Agentic UI & Workflow Layer

User Dashboard
Conversational AI
Adaptive Workflows
Human-in-the-Loop

Agent & Reasoning Layer

Autonomous Agents
Plan Generators
Reasoning Logic

Secure Local LLM / RAG Layer

Local LLMssummarize, infer
Vector DBRAG from KG
Secure Doc Store
Decisions & Actions

→ Decision · Dual-source rare-earth suppliers — 94% confidence

Governance & Platform Services

Governance & Lineage
IAM
Security Logging
Explainability
Provenance
Observability

Ingest — run in progress

Signals are collected and normalized into governed evidence.

Built for

The intelligence layer for teams whose decisions carry weight.

StrategyTechnology IntelligenceProductPolicyInvestmentOperations
On-prem or private cloudLocal LLM + RAG over protected knowledgeHuman-in-the-loop by defaultFull provenance & audit trail

The problem

Most teams don’t have an information problem. They have a structure problem.

Important context is scattered across disparate data sources — such as ERP, CRM, homegrown systems of record, industrial databases, geospatial repositories, real-time sensors, and document stores — spanning both structured and unstructured data. Traditional software forces that reality into fixed workflows, and the result is brittle systems and lost institutional memory.

Airfoil gives you a platform that continuously structures knowledge (with an ontology), helps you reason over it (with agents), and ships it into real workflows (with a UI designed for inspection and control).

Inside Airfoil

Intelligence you can inspect.

A glimpse of the signals, evidence, and decisions you can bring together.

Entity Resolution

Acme Industries
ACME Industries Inc.
Merged · 96% confidence

Evidence Trail

“Section 4.2 flags rare-earth concentration risk across actuator suppliers.”

Patent US-11423311 · p.14

Signal Monitor

Solid-state batteries

Momentum72%
Mentions QoQ+38%

Ranked Options

01Dual-source critical suppliers
02Retrofit pilot line
03License cell IP

Anomaly Detected

Gross margin dipped 320 bps in the quarter after the supplier change.

Flagged for review

Stated vs Observed

Stated · Strategy doc says “EV-first”
Observed · Capex still 78% ICE

42 pt gap

Forecast Confidence

Adoption by 202865%
Adoption by 203082%

How it Works

A single place to run intelligence end-to-end.

From raw signals to decisions that compound. Enterprise-grade controls throughout.

01

Connect the evidence

Normalize ERP, CRM, sensors, documents, and external signals into one governed evidence layer.

02

Model the domain

Entities, relationships, and definitions live in an ontology that evolves with your business — not a static schema.

03

Reason with agents

Agents retrieve, cross-check, and synthesize — drafting answers, comparisons, and plans with sources attached.

04

Decide with control

Human-in-the-loop review, provenance, and change history keep people accountable for what ships.

05

Compound the knowledge

Every analysis enriches the model. Past work becomes the next question’s head start.

Why Airfoil

Built for people whose decisions carry weight.

Technology scouting
“We stopped rebuilding the same analysis every quarter. The model remembers what we learned — and why we decided it.”
Director, Technology IntelligenceIndustrial manufacturing
Board reporting
“Every number in our board deck now traces back to a source. That changed the conversation entirely.”
Head of StrategyEnergy
Research continuity
“It’s the first system where agents made our analysts faster instead of busier.”
VP, ResearchAerospace & defense

Use Cases

Designed for high-stakes thinking.

From scouting signals to reviewing decisions — one governed model underneath.

01

Technology Scouting

Find and qualify emerging technologies before your competitors do — with evidence attached, not just alerts.

02

Signal Monitoring

Always-on watch over patents, papers, markets, and competitor moves, filtered through your domain model.

03

Forecasting & Analysis

Connected evidence becomes defensible, explainable forecasts — with the reasoning trail intact.

04

Competitor & Ecosystem Tracking

See how players, suppliers, and technologies relate — and how those relationships shift over time.

05

Roadmap Development

Turn analysis into roadmaps where every milestone traces back to the signals that justified it.

06

Decision Review

Institutional memory for why decisions were made — and when the evidence says to revisit them.

See it in action

Decisions with receipts.

Clarity, continuity, and accountability from messy reality — without compromising on rigor.

50+

Source types normalized into one model

100%

Claims linked to underlying evidence

1

Shared ontology across teams and workflows

24/7

Continuous signal monitoring

Bring your decisions into focus.

See how Airfoil turns scattered data, rules, and institutional knowledge into decisions your team can defend.