Two Six Technologies provides Helix, an agentic AI orchestrator that layers AI agents onto existing software, data stores, and toolchains without requiring infrastructure changes. The platform enables natural‑language, chat‑to‑agent interaction for rapid, secure analytics on petabyte‑scale datasets, preserving legacy investments and ensuring data sovereignty for U.S. defense, intelligence, and homeland security agencies.
Funding
$8.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
National security agencies face a technical debt dilemma: integrating emerging AI capabilities requires costly, disruptive overhauls of legacy systems and data stores, leading to prolonged decision cycles and operational risk.
Solution
Two Six Technologies’ Helix is an agentic AI orchestrator that layers AI agents onto existing software, data repositories, and toolchains without requiring infrastructure changes. By bringing AI to the data, Helix preserves prior IT investments while delivering rapid, secure, and scalable analytics across classified and unclassified environments. Its natural‑language chat interface lets operators of any skill level task AI agents to ingest, analyze, and act on petabytes of information in seconds, accelerating mission‑critical decision making. The platform’s modular, open architecture supports custom Retrieval‑Augmented Generation knowledge bases and ensures full data sovereignty, preventing vendor lock‑in.
Target Audience
Primary customers are U.S. Department of Defense, Intelligence Community, Department of Homeland Security, and allied national security agencies that require AI‑enhanced analytics while retaining existing legacy infrastructure.
Features
- Zero‑copy integration with legacy systems and data lakes via MCP servers, supporting both classified and public networks.
- Natural‑language chat‑to‑agent workflow enabling role‑based, intuitive command of AI capabilities.
- Customizable Retrieval‑Augmented Generation (RAG) knowledge bases grounded in mission‑specific truth.
- Open, modular architecture that avoids vendor lock‑in and maintains full data control for agencies.
- Scalable processing of petabyte‑scale datasets with seconds‑level latency, reducing task duration from weeks to hours.
- Compliance with stringent national security security and certification standards (TRL 7, deployed in classified environments).