Top Information Technology Startups in 2026

At Poodle AI Labs, we're building the operating system for revenue and customer-facing teams. Our platform replaces static learning content like decks, scripts, and role-play with a colleague with realistic, adaptive AI conversations that behave like real prospects, customers, candidates, and more.

We tell malpractice attorneys whether a case has real medical merit in days, for less than a third of the current cost. We offer a real physicians review and credibility on top of an optimized document processing layer. Saves years of litigation.

OUR MISSION Embedded Executive Leadership for Companies That Need to Accelerate Growth We provides flexible C-suite leadership for companies facing growth, execution, capital, or transition challenges. We step in as operators, align teams, make decisions, and drive measurable outcomes without the cost or delay of a full-time executive hire. 1) We Identify Your Constraint 2) We Embed Executive Leadership 3) We Align Revenue, Marketing, Operations, Technology & Your Teams 4) We Execute Against Measurable Results

The Problem: Security incidents don't begin when the alert fires. With the average threat dwell time reaching 241 days, standard 30 to 90-day hot retention limits leave security teams and AI agents completely blind to initial compromise vectors. But keeping years of data searchable on traditional SIEMs requires massive, prohibitively expensive search clusters. Our Solution: Rover is a SIEM and Security Data Lake built for retention economics. We allow teams to search and analyze their full security history as if it were hot—without rehydration, moving data, or managing search clusters. Cold Storage. Hot Intelligence. How we do it: Object-Storage-Native LSM: Rover writes inverted indexes directly alongside full-fidelity security data in customer-owned object storage. No hot index tier. Serverless Query Engine: Search and analytics execute on-demand, fanning out across ephemeral workers that disappear when the work is done. No always-on compute. Signal Mesh: A stateful engine that evaluates detection queries continuously as data arrives, producing instant signals and alerts. Zero Rehydration: Historical data is instantly queryable in sub-seconds.

Building next-generation space infrastructure at the intersection of AI, data, and orbital compute. P1S develops LEO satellite platforms spanning connectivity, sovereign navigation, and autonomous orbital operations — with deep R&D into on-orbit storage and advanced satellite propulsion. The platform is designed data-first: satellites as intelligent collection and compute nodes feeding compounding AI/ML datasets from orbit.