Signal Intelligence
Real-time ingestion and contextual understanding across heterogeneous streams.
From signal to decision
Autonomous Intelligence for Real-Time Decision Systems
ARIAA transforms raw signals into reasoning, prediction, and autonomous execution—at scale.
Built for institutions
Where calibrated verdicts earn a seat at the table.
Campaign operations
Party strategists, campaign managers
Regulatory & policy
Government affairs, agency analysts
Risk & treasury
CROs, portfolio managers, treasury
Comms war-rooms
CCOs, IR, investigative desks
Supply-chain councils
COOs, procurement, operational risk
Corporate strategy
CSOs, corpdev, board operations
Built for Autonomous Intelligence
Four pillars, one continuous loop — from raw signal to calibrated decision.
Reasoning Engine
Causal analysis and structured reasoning at the core of every decision.
Predictive Core
Simulation, forecasting, and probabilistic models you can steer in real time.
Autonomous Execution
Agent-driven actions that span systems, policies, and operational boundaries.
Solutions
Six mandates, one decision surface.
ARIAA ships ten pre-built domain packs and a composable solver so strategy, risk, and operations teams can model the decisions that actually matter.
Political & Electoral Intelligence
Party strategists, campaign managers, comms directors
Electoral feasibility across every race in a jurisdiction. Daily re-forecasts as signals move. Coalition formation modeled as a constraint problem.
- Aggregated polling across every major source
- Early warning when a margin is collapsing
- Coalition feasibility against a target threshold
Public Policy & Regulation
Government affairs, regulatory teams, NGOs, agency analysts
Simulate the impact of regulation before it ships. Scenario analysis across fiscal, climate, and social-policy options with calibrated uncertainty.
- Feasibility under hard policy constraints
- Cross-domain impact: regulation → cost → inflation → backlash
- Privacy-preserving signal sharing between consortium members
Financial & Macro Risk
CROs, portfolio managers, treasury, risk committees
Portfolio scenarios under stochastic market dynamics with calibrated uncertainty. Geopolitical contagion modeled as cross-domain pathways.
- Multi-factor financial scenario modeling
- Tail-risk feasibility under stress
- Calibrated forecasts with accuracy tracking
Media & Communications
CCOs, comms directors, agencies, investigative desks
Per-entity sentiment across six languages with narrative-graph tracking. Detect reputation threats within minutes and model response impact.
- Real-time ingestion across a broad source network
- Structured entity and topic extraction
- Narrative momentum and topic-ownership analysis
Supply Chain & Geopolitics
COOs, procurement, operational-risk leads
Shock-propagation across supplier graphs with quantified downstream time-to-impact. Models adapt as new disruption outcomes arrive.
- Cross-domain impact: weather → input cost → demand shock
- Supplier-level feasibility under disruption scenarios
- Adaptive forecasting against real outcomes
Enterprise Strategy
Chief Strategy Officers, BD leads, corpdev
Model 5-year plans across many scenario permutations in parallel. Quarterly board materials include calibrated accuracy against prior predictions.
- Custom decision domains defined in a declarative spec
- Scenario trees with calibrated confidence
- Natural-language query to calibrated verdict in seconds
The ARIAA Loop
From signal to decision.
- Understand
- Predict
- Execute
Platform
A proprietary decision engine, exposed through one clean API.
Under the hood, ARIAA composes a portfolio of purpose-built analytical components that the platform picks automatically based on the shape of your problem. You ask a decision question; you get a calibrated answer.
Scenario & feasibility analysis
Given a target outcome and a set of constraints, ARIAA returns a calibrated verdict on whether it’s reachable — and what has to be true for it to hold under uncertainty.
Pattern detection & forecasting
The platform surfaces structural relationships between signals, forecasts their trajectory, and flags when a pattern is breaking — across domains, geographies, and time horizons.
Calibration & governance
Every verdict is tracked against outcomes. Accuracy is visible to admins, recalibrated over time, and accompanied by an auditable trail — so every answer is defensible to a regulator or a board.
Methodology is a trade secret. We publish the shape of the guarantees — not the algorithms that produce them. Enterprise buyers receive a technical architecture review under NDA.
Request a briefing 100% Closed-source by design
10 Pre-built decision domains
6 Languages supported
Enterprise Deployment options (SaaS, on-prem, air-gapped)
Security & compliance
Closed-source by design. Enterprise by deployment.
ARIAA is built for institutions that cannot ship their data to third parties. Deploy on-prem, air-gapped, or federated. Nothing about the platform is open-source.
Closed-source by design
The platform, solver engines, domain packs, and methodologies are proprietary. Nothing ARIAA publishes is open-source — the moat is solver depth and calibration track record.
Deployment options
SaaS, dedicated cloud, on-premises, and air-gapped. Customers choose where the data lives; the security posture does not degrade with more restrictive footprints.
Encryption & access
Encryption in transit and at rest with modern, widely-audited algorithms. Role-based access with least-privilege defaults and SSO integration with customer identity providers.
Audit & evidence
End-to-end audit logging of changes to customer data — actor, action, resource, timestamp — queryable by the customer and used as the source of compliance evidence.
SOC 2 & ISO 27001
Controls designed to SOC 2 Trust Services Criteria and ISO/IEC 27001 from day one. Formal audit engaged; certifications on the 2026 roadmap.
Data residency & sovereignty
Multi-region SaaS on the productisation roadmap. On-premises and air-gapped deployments ship today for teams that must pin data to a specific jurisdiction.
FAQ
Questions buyers actually ask.
Is ARIAA open-source?
No. ARIAA is closed-source forever. The platform, domain packs, and methodology are proprietary. Public surfaces are the marketing site, a closed API, and SDK clients — never server source or engine internals. Enterprise buyers receive a technical architecture review under NDA.
Where can I deploy ARIAA? What about data residency?
Four options today: hosted SaaS, dedicated cloud in the customer's chosen region, on-premises, or air-gapped. Multi-region SaaS with jurisdiction-aware data residency is on the roadmap. For GDPR / LGPD workloads today, on-prem or air-gapped is the path. Deployment detail is shared with customers under NDA.
How is prediction accuracy measured?
Every verdict is scored against actual outcomes using a proper scoring rule. Aggregate accuracy, verdict-level breakdowns, and per-domain trends are available to admins. Models adapt over time as new outcomes arrive. Detailed methodology is shared under NDA with enterprise buyers.
What are your SLAs?
99.9% uptime is the target for Professional tier and 99.95% for Enterprise. Health checks run every 60 seconds across API, database, Redis, and solver services. Uptime and p50 / p95 / p99 latency dashboards are available to admins. Formal SLA contracts are negotiated per deployment.
How do multi-tenancy and SSO work?
Role-based access control with least-privilege defaults, tenant scoping on every request, and SSO via OIDC or SAML configured against the customer's identity provider with claims-to-role mapping. Per-tenant data isolation is enforced end to end; implementation detail is shared under NDA.
What integrations do you support?
A REST API, TypeScript and Python SDK clients, WebSocket channels for real-time events, and signed outbound webhooks. Slack, Teams, Zapier connectors and embeddable React components are on the roadmap.
How is ARIAA different from a BI tool or a sentiment dashboard?
ARIAA models what’s possible, not just what happened. A BI tool reports; ARIAA predicts feasibility under constraint. A sentiment dashboard tracks narrative; ARIAA analyzes structural relationships across domains and returns a calibrated verdict on a specific decision.
What data do I need to get started?
Three inputs: a decision-domain definition (what you want to predict, what you can control, what the hard constraints are), a few weeks of signal history (CSV upload or API-connected), and a first question in natural language or structured form. ARIAA scrapes, ingests, and monitors public sources on your behalf — you do not need to ship raw articles or tweets.
Request a demo
See ARIAA run against a decision you’re actually making.
Thirty minutes with our team. We walk through the platform live, then point it at the specific question keeping you up at night and show you what a calibrated verdict looks like for your domain.
- Live walkthrough with a solutions engineer, not a scripted deck.
- Calibrated verdict modelled against a decision you bring.
- Technical architecture review under NDA for qualified buyers.
Deploy ARIAA against your most consequential decisions.
Structured reasoning, calibrated probabilities, and autonomous execution—engineered for systems where "good enough" isn't.