Top Software Startups in 2026

Archy’s modern software helps dental practices work smarter by reducing everyday friction and equipping teams with AI-powered tools so providers can focus on delivering great care while we handle the complexity of running the practice.

Every AI team, more efficient. AI writes more code than ever, but no one can tell if it's worth it. Tools like Cursor, Claude Code, and GitHub Copilot are now standard, and spend on them is climbing fast, yet leaders still can't see how AI is being used, where it's being wasted, or whether it's improving how teams ship. Cloud got its observability layer a decade ago. AI coding doesn't have one yet. Planckspace is building it. We give engineering teams one place to see and manage everything about their AI coding: cost attribution across developers, teams, and repos, efficiency and cost-per-shipped tracking, cost and token optimization, budgets, governance, and verified savings proven from real usage. It works across every major AI coding tool, and only usage metadata ever leaves the machine. Never your code, never your prompts.

StarCast is building the trust, licensing, and rights infrastructure for the AI likeness economy. We enable creators to securely license AI versions of their identity (face, voice, and digital persona) to businesses while maintaining full ownership, approvals, pricing, usage rights, and restrictions. We're solving hard infrastructure problems around AI identity, consent verification, licensing, payments, authorization, and scalable AI workflows. Long term, we're building an AI Identity API and consent layer that AI platforms can use to verify whether a person's likeness is authorized before it is generated or deployed. This is a systems engineering challenge involving secure identity, distributed architectures, AI orchestration, enterprise workflows, and internet-scale infrastructure not just another AI application.

ScalingCraft Solutions is a performance-driven growth engine built exclusively for dental practices. We run Google & Meta Ads campaigns that replace the guesswork, hidden fees, and rotating account managers typical of dental marketing agencies with a structured, transparent system that delivers qualified, high-intent patient appointments - not just clicks. Founded by Roshan Bajaj after 15+ years running paid search for dental practices across the US, Canada, and Australia - behind the scenes, for other agencies - ScalingCraft Solutions was built to cut out the middle layer: practices get the same senior-level execution, direct access to the team actually doing the work, and full visibility into every dollar spent. Today we manage $670K+ in monthly ad spend for 130+ dental practices across 20 US states, combining AI-accelerated targeting, daily search-term discipline, and rigorous conversion tracking with a risk-reversed, month-to-month model - free first month, cancel anytime, no long contracts. We're a small, senior team solving one problem exceptionally well: turning ad spend into verified, qualified patients that dental practices can measure to the dollar. If you want focused, outcome-driven work with direct client impact - not busywork buried inside a bloated agency - this is that kind of team.

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.

WALT acts like an AI context engineer to build your ReasonBase™, a dynamic data reasoning layer for your structured data that delivers trusted, consistent AI workflows every time. In short, he readies your data for AI.