DATA ECOSYSTEMS
The data refinery.
Raw data flows in. Signed, structured, monetizable content flows out. Every output carries receipts of origin.
The Refinery
feeds, APIs, scans
collect + sign
62 pipeline bricks
AI + scoring
signed output
feeds, APIs, scans
collect + sign
62 pipeline bricks
AI + scoring
signed output
What comes out
Intelligence
Market signals, scored insights
Podcasts
AI-narrated audio briefings
News
Curated, analyzed, attributed
Reports
Structured analysis documents
Video
Generated visual content
Music
AI-composed audio
Blogs
Long-form content generation
Data Lakes
Structured exports, APIs
Every output carries provenance receipts tracing every source, transformation, and model call that produced it. Some are terminal. Others feed back into the refinery.
RAW DATA TO SCORED TRADING SIGNALS
Market Intelligence
5,500+ data sources flow through the refinery every hour. News from global publishers. SEC filings and FRED economic indicators. Congressional legislation. Weather and seismic data. Blog posts and search results. The refinery extracts entities, sentiment, and market signals, then scores each for direction, magnitude, likelihood, and timeframe. Every step signed. Every source traceable.
HOW IT RUNS
- 01Ingest from 5,500+ news feeds, government APIs, financial filings, weather services, event streams, blogs, and search results
- 02Deduplicate articles across URL, content hash, and title similarity
- 03AI analysis: 60+ structured fields per article including sentiment, entities, themes, political positioning, and market relevance
- 04Signal extraction: direction, magnitude, confidence, timeframe, and actionability scoring
- 05Provenance receipt chains from raw source through every transformation to final score
PRODUCTS USED
KNOWLEDGE IN, DELEGATED WORK OUT
Autonomous Agents
AI agents execute tasks, delegate to other agents, and produce outputs. Every action signed. An agent can hire another agent, hand off sub-tasks, and verify every result cryptographically end to end.
HOW IT RUNS
- 01Define agent persona: beliefs, constraints, skills, communication style
- 02Register the agent's Ed25519 signing identity so every action ties to provenance
- 03Agent receives work via Telegram, executes Synapse pipelines
- 04Agent delegates sub-tasks to specialist agents over signed handoffs
- 05Every action signed. Full provenance from persona to deliverable
PRODUCTS USED
CONTINUOUS SCAN TO INFRASTRUCTURE INTELLIGENCE
Network Monitoring
Continuous scanning of thousands of domains produces tech stack fingerprints, service detection, and infrastructure change alerts. Every scan cycle attested at the moment of collection. Not after.
HOW IT RUNS
- 01Continuous DNS, TLS, WHOIS, and HTTPS scanning across 16,000+ domains
- 02Tech stack fingerprinting across 80+ provider categories
- 03Change detection and drift alerting
- 04Ed25519 provenance receipt on every scan cycle
- 05Real-time dashboard with historical scan data
PRODUCTS USED
AGENTS, PIPELINES, AND SERVICES ON ONE SIGNED MESH
Data and Agent Mesh
Synapse connects data pipelines, AI agents, and services into a unified execution layer. An agent can invoke a pipeline, a pipeline can delegate to an agent, and every interaction produces a signed receipt. Content generation, analysis, communication, scheduling, delegation. Every activity across the mesh is signed.
HOW IT RUNS
- 01Compose pipelines from 62 atomic processing bricks
- 02Agents delegate tasks to other agents or pipelines with signed handoffs
- 03Every hop across the mesh produces an Ed25519 receipt
- 04Receipts chain into DAGs and roll up into Merkle trees
- 05Walk the provenance from any output back through every agent and pipeline that contributed
PRODUCTS USED
FOR TEAMS SHIPPING AI AGENTS TO ENTERPRISE CUSTOMERS
Your AI Agents, Provenance-Signed
You ship AI agents to enterprise customers. They ask: what data did your agent use? What model? When? Can you prove it? Today, you point to logs. Logs are reconstructions. DRM3 provenance gives every operation a signed receipt at the moment it occurs. Your customers verify the chain themselves. No trust required.
HOW IT RUNS
- 01Integrate the Provenance SDK into your agent pipeline
- 02Every data fetch, model call, and transformation gets a signed receipt
- 03Receipts chain into Merkle trees per session
- 04Deliver provenance alongside your agent's output
- 05Your customer verifies the chain independently with published keys
PRODUCTS USED
FOR ORGANIZATIONS PREPARING FOR THE EU AI ACT
AI Transparency for Regulated Industries
The EU AI Act enforcement deadline is August 2026. Articles 12, 13, 14, and 17 require record-keeping, transparency, human oversight, and quality management for high-risk AI systems. Most compliance tools generate reports after the fact. DRM3 creates cryptographic proof at the moment of operation. The difference is whether your compliance trail can be independently verified or just trusted.
HOW IT RUNS
- 01Sign every AI operation with Ed25519 provenance receipts
- 02Chain receipts to data source licenses pinned to specific versions
- 03Roll up into Merkle trees for batch-level attestation
- 04Publish signing keys at .well-known endpoints for third-party verification
- 05Regulators verify any receipt without accessing your systems or trusting your reports
PRODUCTS USED
Different inputs. Different outputs. Same protocol.
See the products