Model-enrichment services for regulated financial content, supporting contextual retrieval, compliant model outputs, ontology-driven discovery, and benchmarking against trusted...
AI-powered financial research platform providing permissioned, entitlement-aware access to broker research, expert insights, transcripts, filings, news, and events with governan...
Enterprise APIs and Model Context Protocol integrations delivering permissioned financial content with connector libraries for Anthropic, OpenAI, and Microsoft Azure ecosystems.
Embeddable modular components for search, discovery, summaries, company intelligence, and event analysis that integrate AI-enhanced research experiences directly into existing w...
What customers say
“By combining governed access, transparent sourcing, and flexible delivery, Aiera gives clients a faster and easier way to access the content they need, where they need it, in a compliant manner.”
CustomerAiera customer
“For firms that prefer turnkey solutions, Aiera delivers desktop and mobile applications powered by agentic research workflows, supporting organizations at every stage of AI maturity.”
CustomerAiera customer
Security and compliance
As reported by Aiera. Ask for audit reports before you buy.
NIST SP 800-53Compliant
end-to-end encryption in transit
end-to-end encryption at rest
HTTPS/TLS
AES-256 encryption
firewalls
VPC isolation
multi-factor authentication
cryptographic commit signing
daily backups
continuous monitoring
access logging
anomaly detection
restricted port access
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Aiera and Substantive Research Publish Survey on Buy-Side AI Adoption and Broker Licensing Barriers
Aiera and Substantive Research conducted a joint industry survey of 35 global asset managers regarding the adoption of generative AI in investment research. The findings highlight that 77% of surveyed buy-side firms have implemented organization-wide generative AI platforms. The study identified broker research licensing restrictions as the primary obstacle to integrating direct research feeds into internal AI systems, cited by 69% of participants. The survey emphasizes a growing demand for machine-readable content delivery that aligns with modern compliance and entitlement frameworks within AI-driven research environments.
