01
Intake
Multi-chain activity enters as raw evidence.
Blocks, contracts, mempool cues, and counterparties are normalized into one investigative surface instead of siloed data feeds.
40+ chain telemetry, transaction history, protocol interactions
Platform overview
Unified architecture for
onchain intelligence.
ChainÆther turns raw ledger activity into explainable entity logic, active exposure review, and evidence-ready output for teams operating in high-stakes digital asset environments.
Operating model
Trace, decide, monitor, document
Analyst view
02
Decision
Entity logic turns movement into explainable context.
Resolution, exposure analysis, risk scoring, and anomaly review stay visible to the analyst so decisions can be audited.
Resolved clusters, proximity logic, behavior signatures, case-ready rationale
03
Action
Operators move directly from trace to response.
Investigations transition into watchlists, alerts, briefs, and review packages without re-entering the same facts in separate tools.
Workspaces, live monitoring, evidence trails, executive reporting
Surfaces
Tracing, screening, monitoring, reporting
Teams
Risk, investigations, compliance, recovery
Delivery model
Explainable decisions over black-box alerts
Platform flow
One platform, three deliberate passes.
The architecture is built to keep data acquisition, entity logic, and decision output in one continuous operator loop. That is the difference between a stack of tools and a working intelligence system.
01
Ingest and normalize the raw chain surface.
Ledger activity, token transfers, protocol interactions, and contract state changes enter a single normalized graph foundation.
Operator need
Analysts need the whole movement story, not fragmented chain explorers.
System action
Chain data is translated into a common evidence model so traces stay continuous across ecosystems.
Result
A stable investigative substrate that can support screening, tracing, and downstream reporting.
02
Resolve wallets into coherent actor logic.
Heuristics, labeling, attribution, and behavioral grouping collapse address noise into something an operator can actually reason about.
Operator need
Risk and investigations teams need to know who or what is acting behind the addresses.
System action
Entity memory, clustering, and contextual tagging surface patterns without hiding the basis of the match.
Result
Explainable identities, counterparties, and relationship context for every material hop.
03
Turn analysis into decision-grade output.
The same graph logic powers exposure review, behavioral scoring, live watchlists, and evidence packages for stakeholders.
Operator need
A finding should move directly into action instead of being copied into another workflow.
System action
Scoring, alerts, annotations, and narrative output stay tied to the underlying trace and rationale.
Result
Operational decisions, ongoing monitoring, and evidence-ready deliverables from one system.
Workspaces
Built for active investigators, not passive dashboards.
The platform surface changes with the mission. A live trace workspace should not feel like a monitoring console, so the two primary operating modes are deliberately separated.
Investigation workspace
Follow complex movement without losing the case narrative.
Trace routes, pin entities, attach evidence, and keep every relevant hop in one analytical frame. The goal is not visual spectacle. The goal is preserving operational context when the graph becomes dense.
- Annotated relationship graph with pinned counterparties
- Case notes tied to specific transactions and entities
- Narrative handoff into reporting without re-keying context
Start
Flagged treasury withdrawal enters the working trace.
Route
Cross-chain hops and service interactions stay linked as one narrative.
Evidence
Entities, annotations, and screenshots stay attached to the same case.
Case output
Annotated relationship graph with pinned counterparties
Case notes tied to specific transactions and entities
Narrative handoff into reporting without re-keying context
Ongoing monitoring
Escalate
Indirect sanctions adjacency crossed alert threshold.
Proximity score increased after a bridge transfer into a newly labeled intermediary cluster.
Review
Behavioral drift on monitored OTC route.
Counterparty pattern changed from routine settlement timing into mixer-adjacent fragmentation.
Stable
Treasury watchlist remains within defined concentration bounds.
No material deviation detected across monitored issuer and counterparty exposures.
Maintain live watch over the entities that matter.
Monitoring is treated as an extension of analysis, not a separate product surface. Thresholds, watchlists, and alert logic remain tied to the same entity and exposure reasoning used during manual review.
- Watchlist triggers by entity, protocol, or behavior signature
- Thresholds tuned for sanctions, recovery, treasury, or market abuse review
- Escalation output routed into analyst review instead of silent black-box scoring
01
Capability
Wallet and entity search
Pivot from wallet, transaction, ENS, contract, or labeled service into the right investigative surface without changing tools.
02
Capability
Direct and indirect exposure review
Understand proximity to sanctioned, illicit, or operationally risky entities across multi-hop paths instead of single-touch screening.
03
Capability
Explainable behavioral scoring
Score activity with visible behavioral signals so teams can distinguish why something looks risky, not just that it scored high.
04
Capability
Persistent watchlists and alerts
Carry analysis forward into live monitoring with rules based on entities, thresholds, and changes in risk posture.