Top Artificial Intelligence Startups in 2026

We meet our clients where they are in their AI journey, define their true north star of value, and chart a strategic path forward through our platform—empowering them to modernize operations, optimize efficiencies, and unlock millions in cost savings.

We believe legacy SaaS companies are at a turning point. Their users now expect AI-native experiences, but most of these companies don’t have the infrastructure, team, or resources to build them from scratch. That’s where OpenSesame comes in. We're building the easiest way for legacy companies to go AI native without changing their existing infrastructure. Our product helps companies develop and deploy beautiful AI interfaces that are integrated with their product, data and APIs in minutes. With OpenSesame, teams can build and deploy something that deeply understands a customer’s APIs and business logic, then exposes it through a clean, contextual, and fast interface. Examples of how it’s being used: In construction tech, field workers are using Cell to pull schedules, flag RFIs, and check delivery statuses without navigating multiple modules. In insurance operations, claims agents are asking Cell to summarize case files and surface relevant underwriting policy documents in seconds. In payroll/financial workflows, operators resolve reconciliation issues or check vendor statuses by simply asking Cell in natural language.

Crisscross uses AI to solve one of the biggest unsolved problems in the $40B global B2B advertising market: knowing which companies are actively in-market for vendors. We’re building the AI-powered B2B vendor discovery platform — a global taxonomy of vendors, capabilities, categories, and markets that organizes a $6T professional-services market and helps buyers move from scattered research to expert vendor matching using natural language. The deeper opportunity is that Crisscross captures live vendor-selection behavior: companies actively evaluating and choosing providers. That creates what I believe is one of the most valuable missing data assets in B2B advertising. The goal is to identify in-market companies, understand the relevant buying committees through firmographic and identity data, and activate those audiences through privacy-safe programmatic channels.