Sieve Technology AI

The Sieve Truth Gateway (STG) is a cloud-based, production-ready AI verification platform designed to help organizations deploy trustworthy, enterprise-grade conversational AI. As generative AI adoption accelerates across industries, unsupported or hallucinated outputs remain a top concern for CIOs, data leaders, and business executives. STG addresses this challenge by verifying claims generated by large language models (LLMs) against trusted, customer-owned data sources, ensuring that AI-driven insights are grounded in evidence rather than probability alone.

STG is built as a software-only solution and deploys natively within a customer’s Microsoft Azure environment, enabling secure integration with existing data, governance, and identity frameworks. The platform is designed for production workloads and supports organizations that require high levels of accuracy, auditability, and trust in AI-assisted decision-making. Typical use cases include conversational analytics, internal knowledge assistants, customer-facing AI experiences, and AI-powered insights layered on top of proprietary enterprise data.

At the core of STG are three integrated components. The Recursive Sieve Orchestrator (RSO) analyzes AI-generated responses to detect factual claims, extracts verification parameters, executes targeted verification queries, and evaluates results to determine whether outputs are supported by underlying data. The Sieve Knowledge Base (SKB) is a dynamically evolving, structured knowledge layer that manages schemas, ingests enterprise data, tracks usage, and supports auditing and governance requirements. Together, these components allow verification logic to improve continuously as new data and usage patterns emerge. The Sieve Chat Interface (SCI) provides a conversational layer that integrates with customer LLMs, enabling users to ask questions of their data while clearly flagging unsupported or unverifiable responses.

The primary value of STG is trust at scale. By anchoring AI outputs to verified, first-party data, organizations can reduce the operational, reputational, and compliance risks associated with hallucinations. Customers benefit from more accurate insights, increased confidence in AI-assisted workflows, and improved adoption of generative AI across business teams. STG also enables differentiation by allowing enterprises to build AI capabilities on top of their own proprietary datasets rather than relying solely on generic models.

STG is well suited for mid-market and enterprise customers across industries such as B2B SaaS, sales and revenue operations, financial services, healthcare, and data-intensive enterprises. Typical buyers and users include CIOs, CTOs, data and AI leaders, product teams, and operations leaders who require reliable AI outputs for internal analysis or customer-facing applications. The platform supports secure deployment, integrates with Azure-based data and AI services, and is designed to deliver measurable value quickly once connected to enterprise data sources.

By providing a structured, verifiable foundation for conversational AI, the Sieve Truth Gateway enables organizations to move from experimental AI usage to trusted, production-grade AI systems that support real business decisions.