Automate regulatory compliance reviews and risk management with AI agents that detect threats in marketing, adverse media, and electronic communications.
Price not published
Saifr is a comprehensive regulatory technology (RegTech) platform incubated at Fidelity Labs that leverages advanced AI to help financial services and insurance firms manage complex compliance risks. The platform is built on the philosophy that human-augmented AI is the most effective way to handle increasing regulatory volumes. By combining high-quality data with natural language processing and agentic AI, Saifr aims to streamline the oversight process for marketing materials, public communications, and internal surveillance, allowing compliance teams to scale their operations without sacrificing accuracy or security. The suite consists of three primary products: SaifrReview, SaifrScreen, and Saifr eComms. SaifrReview scans text, images, video, and audio to detect potential regulatory violations, suggesting compliant alternatives and necessary disclosures for marketing content. SaifrScreen provides continuous monitoring of over 230,000 global online sources to identify potential bad actors and adverse media risks across both structured and unstructured data. Saifr eComms analyzes large-scale electronic communication archives for internal threats such as insider trading, bribery, and channel-switching. All models are designed to integrate seamlessly into existing enterprise workflows, including Microsoft 365, Adobe GenStudio, and ServiceNow. This tool is specifically designed for marketing and compliance professionals within financial institutions, life insurance providers, and annuity companies. It addresses specific US regulations such as FINRA 2210, the SEC Marketing Rule, and NAIC model laws. Because the tool identifies up to 90% of what a human reviewer would catch, it allows these roles to move content to market up to 10 times faster while maintaining a rigorous audit trail. It is also suitable for trust and safety programs in the gig economy and marketplace businesses requiring robust entity monitoring. What differentiates Saifr from general-purpose AI tools is its data pedigree and specialized training. Its models are trained on over 20 years of compliance-curated data from Fidelity Investments, validated by thousands of subject matter experts. This high-quality dataset reduces false positives and ensures the AI understands the nuances of financial terminology—for instance, correctly transcribing "401(k)" instead of phonetic misinterpretations. Additionally, the platform is SOC 2 Type 2 certified, providing the enterprise-level security and privacy controls required by highly regulated industries.
Is Saifr free? No, Saifr doesn't offer a free plan.
Price varies
SaifrReview is an AI tool that flags potential regulatory compliance risks in text, images, videos, and audio. It identifies up to 90% of what a human would find and suggests alternative language and necessary disclosures.
Yes, Saifr can transcribe videos and identify potentially risky language at specific timestamps. Its transcription tool is specialized for financial terms like "401(k)" to ensure high accuracy for regulated industries.
The models are trained on over 20 years of compliance-curated data from Fidelity Investments. Subject matter experts participate in a "human-in-the-loop" process to validate outputs and mitigate bias.
Saifr helps firms comply with FINRA 2210, SEC Marketing Rule 206-4, NAIC model laws, and various AML/KYC regulations including the Bank Secrecy Act and OFAC sanctions.
Saifr integrates with Microsoft 365 (Word, Excel, PPT), Google Docs, Figma, Adobe GenStudio, and ServiceNow. It also offers APIs and models via the Microsoft Azure AI Foundry catalog.
Experience Requirements:
Proven track record starting companies
Building products
Driving initiatives from concept to launch
Deep domain knowledge in financial services or technology
Other Requirements:
Problem Focused
Solution Agnostic
Move at Startup Speed
Founder-Level Grit
Navigate & Influence
Responsibilities:
Build solutions addressing urgent market needs
Test assumptions quickly
Iterate on feedback
Deliver results
Lead cross-functional teams
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